how many words is a dissertation undergraduate

How to write an undergraduate university dissertation

Writing a dissertation is a daunting task, but these tips will help you prepare for all the common challenges students face before deadline day.

Grace McCabe

Writing a dissertation is one of the most challenging aspects of university. However, it is the chance for students to demonstrate what they have learned during their degree and to explore a topic in depth.

In this article, we look at 10 top tips for writing a successful dissertation and break down how to write each section of a dissertation in detail.

10 tips for writing an undergraduate dissertation

1. Select an engaging topic Choose a subject that aligns with your interests and allows you to showcase the skills and knowledge you have acquired through your degree.

2. Research your supervisor Undergraduate students will often be assigned a supervisor based on their research specialisms. Do some research on your supervisor and make sure that they align with your dissertation goals.

3. Understand the dissertation structure Familiarise yourself with the structure (introduction, review of existing research, methodology, findings, results and conclusion). This will vary based on your subject.

4. Write a schedule As soon as you have finalised your topic and looked over the deadline, create a rough plan of how much work you have to do and create mini-deadlines along the way to make sure don’t find yourself having to write your entire dissertation in the final few weeks.

5. Determine requirements Ensure that you know which format your dissertation should be presented in. Check the word count and the referencing style.

6. Organise references from the beginning Maintain an alphabetically arranged reference list or bibliography in the designated style as you do your reading. This will make it a lot easier to finalise your references at the end.

7. Create a detailed plan Once you have done your initial research and have an idea of the shape your dissertation will take, write a detailed essay plan outlining your research questions, SMART objectives and dissertation structure.

8. Keep a dissertation journal Track your progress, record your research and your reading, and document challenges. This will be helpful as you discuss your work with your supervisor and organise your notes.

9. Schedule regular check-ins with your supervisor Make sure you stay in touch with your supervisor throughout the process, scheduling regular meetings and keeping good notes so you can update them on your progress.

10. Employ effective proofreading techniques Ask friends and family to help you proofread your work or use different fonts to help make the text look different. This will help you check for missing sections, grammatical mistakes and typos.

What is a dissertation?

A dissertation is a long piece of academic writing or a research project that you have to write as part of your undergraduate university degree.

It’s usually a long essay in which you explore your chosen topic, present your ideas and show that you understand and can apply what you’ve learned during your studies. Informally, the terms “dissertation” and “thesis” are often used interchangeably.

How do I select a dissertation topic?

First, choose a topic that you find interesting. You will be working on your dissertation for several months, so finding a research topic that you are passionate about and that demonstrates your strength in your subject is best. You want your topic to show all the skills you have developed during your degree. It would be a bonus if you can link your work to your chosen career path, but it’s not necessary.

Second, begin by exploring relevant literature in your field, including academic journals, books and articles. This will help you identify gaps in existing knowledge and areas that may need further exploration. You may not be able to think of a truly original piece of research, but it’s always good to know what has already been written about your chosen topic.

Consider the practical aspects of your chosen topic, ensuring that it is possible within the time frame and available resources. Assess the availability of data, research materials and the overall practicality of conducting the research.

When picking a dissertation topic, you also want to try to choose something that adds new ideas or perspectives to what’s already known in your field. As you narrow your focus, remember that a more targeted approach usually leads to a dissertation that’s easier to manage and has a bigger impact. Be ready to change your plans based on feedback and new information you discover during your research.

How to work with your dissertation supervisor?

Your supervisor is there to provide guidance on your chosen topic, direct your research efforts, and offer assistance and suggestions when you have queries. It’s crucial to establish a comfortable and open line of communication with them throughout the process. Their knowledge can greatly benefit your work. Keep them informed about your progress, seek their advice, and don’t hesitate to ask questions.

1. Keep them updated Regularly tell your supervisor how your work is going and if you’re having any problems. You can do this through emails, meetings or progress reports.

2. Plan meetings Schedule regular meetings with your supervisor. These can be in person or online. These are your time to discuss your progress and ask for help.

3. Share your writing Give your supervisor parts of your writing or an outline. This helps them see what you’re thinking so they can advise you on how to develop it.

5. Ask specific questions When you need help, ask specific questions instead of general ones. This makes it easier for your supervisor to help you.

6. Listen to feedback Be open to what your supervisor says. If they suggest changes, try to make them. It makes your dissertation better and shows you can work together.

7. Talk about problems If something is hard or you’re worried, talk to your supervisor about it. They can give you advice or tell you where to find help.

8. Take charge Be responsible for your work. Let your supervisor know if your plans change, and don’t wait if you need help urgently.

Remember, talking openly with your supervisor helps you both understand each other better, improves your dissertation and ensures that you get the support you need.

How to write a successful research piece at university How to choose a topic for your dissertation Tips for writing a convincing thesis

How do I plan my dissertation?

It’s important to start with a detailed plan that will serve as your road map throughout the entire process of writing your dissertation. As Jumana Labib, a master’s student at the University of Manchester studying digital media, culture and society, suggests: “Pace yourself – definitely don’t leave the entire thing for the last few days or weeks.”

Decide what your research question or questions will be for your chosen topic.

Break that down into smaller SMART (specific, measurable, achievable, relevant and time-bound) objectives.

Speak to your supervisor about any overlooked areas.

Create a breakdown of chapters using the structure listed below (for example, a methodology chapter).

Define objectives, key points and evidence for each chapter.

Define your research approach (qualitative, quantitative or mixed methods).

Outline your research methods and analysis techniques.

Develop a timeline with regular moments for review and feedback.

Allocate time for revision, editing and breaks.

Consider any ethical considerations related to your research.

Stay organised and add to your references and bibliography throughout the process.

Remain flexible to possible reviews or changes as you go along.

A well thought-out plan not only makes the writing process more manageable but also increases the likelihood of producing a high-quality piece of research.

How to structure a dissertation?

The structure can depend on your field of study, but this is a rough outline for science and social science dissertations:

Introduce your topic.

Complete a source or literature review.

Describe your research methodology (including the methods for gathering and filtering information, analysis techniques, materials, tools or resources used, limitations of your method, and any considerations of reliability).

Summarise your findings.

Discuss the results and what they mean.

Conclude your point and explain how your work contributes to your field.

On the other hand, humanities and arts dissertations often take the form of an extended essay. This involves constructing an argument or exploring a particular theory or analysis through the analysis of primary and secondary sources. Your essay will be structured through chapters arranged around themes or case studies.

All dissertations include a title page, an abstract and a reference list. Some may also need a table of contents at the beginning. Always check with your university department for its dissertation guidelines, and check with your supervisor as you begin to plan your structure to ensure that you have the right layout.

How long is an undergraduate dissertation?

The length of an undergraduate dissertation can vary depending on the specific guidelines provided by your university and your subject department. However, in many cases, undergraduate dissertations are typically about 8,000 to 12,000 words in length.

“Eat away at it; try to write for at least 30 minutes every day, even if it feels relatively unproductive to you in the moment,” Jumana advises.

How do I add references to my dissertation?

References are the section of your dissertation where you acknowledge the sources you have quoted or referred to in your writing. It’s a way of supporting your ideas, evidencing what research you have used and avoiding plagiarism (claiming someone else’s work as your own), and giving credit to the original authors.

Referencing typically includes in-text citations and a reference list or bibliography with full source details. Different referencing styles exist, such as Harvard, APA and MLA, each favoured in specific fields. Your university will tell you the preferred style.

Using tools and guides provided by universities can make the referencing process more manageable, but be sure they are approved by your university before using any.

How do I write a bibliography or list my references for my dissertation?

The requirement of a bibliography depends on the style of referencing you need to use. Styles such as OSCOLA or Chicago may not require a separate bibliography. In these styles, full source information is often incorporated into footnotes throughout the piece, doing away with the need for a separate bibliography section.

Typically, reference lists or bibliographies are organised alphabetically based on the author’s last name. They usually include essential details about each source, providing a quick overview for readers who want more information. Some styles ask that you include references that you didn’t use in your final piece as they were still a part of the overall research.

It is important to maintain this list as soon as you start your research. As you complete your research, you can add more sources to your bibliography to ensure that you have a comprehensive list throughout the dissertation process.

How to proofread an undergraduate dissertation?

Throughout your dissertation writing, attention to detail will be your greatest asset. The best way to avoid making mistakes is to continuously proofread and edit your work.

Proofreading is a great way to catch any missing sections, grammatical errors or typos. There are many tips to help you proofread:

Ask someone to read your piece and highlight any mistakes they find.

Change the font so you notice any mistakes.

Format your piece as you go, headings and sections will make it easier to spot any problems.

Separate editing and proofreading. Editing is your chance to rewrite sections, add more detail or change any points. Proofreading should be where you get into the final touches, really polish what you have and make sure it’s ready to be submitted.

Stick to your citation style and make sure every resource listed in your dissertation is cited in the reference list or bibliography.

How to write a conclusion for my dissertation?

Writing a dissertation conclusion is your chance to leave the reader impressed by your work.

Start by summarising your findings, highlighting your key points and the outcome of your research. Refer back to the original research question or hypotheses to provide context to your conclusion.

You can then delve into whether you achieved the goals you set at the beginning and reflect on whether your research addressed the topic as expected. Make sure you link your findings to existing literature or sources you have included throughout your work and how your own research could contribute to your field.

Be honest about any limitations or issues you faced during your research and consider any questions that went unanswered that you would consider in the future. Make sure that your conclusion is clear and concise, and sum up the overall impact and importance of your work.

Remember, keep the tone confident and authoritative, avoiding the introduction of new information. This should simply be a summary of everything you have already said throughout the dissertation.

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Knowledge Base
Dissertation

What Is a Dissertation? | Guide, Examples, & Template

A dissertation is a long-form piece of academic writing based on original research conducted by you. It is usually submitted as the final step in order to finish a PhD program.

Your dissertation is probably the longest piece of writing you’ve ever completed. It requires solid research, writing, and analysis skills, and it can be intimidating to know where to begin.

Your department likely has guidelines related to how your dissertation should be structured. When in doubt, consult with your supervisor.

You can also download our full dissertation template in the format of your choice below. The template includes a ready-made table of contents with notes on what to include in each chapter, easily adaptable to your department’s requirements.

Download Word template Download Google Docs template

In the US, a dissertation generally refers to the collection of research you conducted to obtain a PhD.
In other countries (such as the UK), a dissertation often refers to the research you conduct to obtain your bachelor’s or master’s degree.

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Dissertation committee and prospectus process, how to write and structure a dissertation, acknowledgements or preface, list of figures and tables, list of abbreviations, introduction, literature review, methodology, reference list, proofreading and editing, defending your dissertation, free checklist and lecture slides.

When you’ve finished your coursework, as well as any comprehensive exams or other requirements, you advance to “ABD” (All But Dissertation) status. This means you’ve completed everything except your dissertation.

Prior to starting to write, you must form your committee and write your prospectus or proposal . Your committee comprises your adviser and a few other faculty members. They can be from your own department, or, if your work is more interdisciplinary, from other departments. Your committee will guide you through the dissertation process, and ultimately decide whether you pass your dissertation defense and receive your PhD.

Your prospectus is a formal document presented to your committee, usually orally in a defense, outlining your research aims and objectives and showing why your topic is relevant . After passing your prospectus defense, you’re ready to start your research and writing.

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The structure of your dissertation depends on a variety of factors, such as your discipline, topic, and approach. Dissertations in the humanities are often structured more like a long essay , building an overall argument to support a central thesis , with chapters organized around different themes or case studies.

However, hard science and social science dissertations typically include a review of existing works, a methodology section, an analysis of your original research, and a presentation of your results , presented in different chapters.

Dissertation examples

We’ve compiled a list of dissertation examples to help you get started.

Example dissertation #1: Heat, Wildfire and Energy Demand: An Examination of Residential Buildings and Community Equity (a dissertation by C. A. Antonopoulos about the impact of extreme heat and wildfire on residential buildings and occupant exposure risks).
Example dissertation #2: Exploring Income Volatility and Financial Health Among Middle-Income Households (a dissertation by M. Addo about income volatility and declining economic security among middle-income households).
Example dissertation #3: The Use of Mindfulness Meditation to Increase the Efficacy of Mirror Visual Feedback for Reducing Phantom Limb Pain in Amputees (a dissertation by N. S. Mills about the effect of mindfulness-based interventions on the relationship between mirror visual feedback and the pain level in amputees with phantom limb pain).

The very first page of your document contains your dissertation title, your name, department, institution, degree program, and submission date. Sometimes it also includes your student number, your supervisor’s name, and the university’s logo.

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how many words is a dissertation undergraduate

The abstract is a short summary of your dissertation, usually about 150 to 300 words long. Though this may seem very short, it’s one of the most important parts of your dissertation, because it introduces your work to your audience.

Your abstract should:

State your main topic and the aims of your research
Describe your methods
Summarize your main results
State your conclusions

Theoretical framework

Your literature review can often form the basis for your theoretical framework. Here, you define and analyze the key theories, concepts, and models that frame your research.

Checklist: Dissertation

My title page includes all information required by my university.

I have included acknowledgements thanking those who helped me.

My abstract provides a concise summary of the dissertation, giving the reader a clear idea of my key results or arguments.

I have created a table of contents to help the reader navigate my dissertation. It includes all chapter titles, but excludes the title page, acknowledgements, and abstract.

My introduction leads into my topic in an engaging way and shows the relevance of my research.

My introduction clearly defines the focus of my research, stating my research questions and research objectives .

My introduction includes an overview of the dissertation’s structure (reading guide).

I have conducted a literature review in which I (1) critically engage with sources, evaluating the strengths and weaknesses of existing research, (2) discuss patterns, themes, and debates in the literature, and (3) address a gap or show how my research contributes to existing research.

I have clearly outlined the theoretical framework of my research, explaining the theories and models that support my approach.

I have thoroughly described my methodology , explaining how I collected data and analyzed data.

I have concisely and objectively reported all relevant results .

I have (1) evaluated and interpreted the meaning of the results and (2) acknowledged any important limitations of the results in my discussion .

I have clearly stated the answer to my main research question in the conclusion .

I have clearly explained the implications of my conclusion, emphasizing what new insight my research has contributed.

I have provided relevant recommendations for further research or practice.

If relevant, I have included appendices with supplemental information.

I have included an in-text citation every time I use words, ideas, or information from a source.

I have listed every source in a reference list at the end of my dissertation.

I have consistently followed the rules of my chosen citation style .

I have followed all formatting guidelines provided by my university.

Congratulations!

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Dissertation Structure & Layout 101: How to structure your dissertation, thesis or research project.

By: Derek Jansen (MBA) Reviewed By: David Phair (PhD) | July 2019

So, you’ve got a decent understanding of what a dissertation is , you’ve chosen your topic and hopefully you’ve received approval for your research proposal . Awesome! Now its time to start the actual dissertation or thesis writing journey.

To craft a high-quality document, the very first thing you need to understand is dissertation structure . In this post, we’ll walk you through the generic dissertation structure and layout, step by step. We’ll start with the big picture, and then zoom into each chapter to briefly discuss the core contents. If you’re just starting out on your research journey, you should start with this post, which covers the big-picture process of how to write a dissertation or thesis .

Dissertation structure and layout - the basics

The Caveat

In this post, we’ll be discussing a traditional dissertation/thesis structure and layout, which is generally used for social science research across universities, whether in the US, UK, Europe or Australia. However, some universities may have small variations on this structure (extra chapters, merged chapters, slightly different ordering, etc).

So, always check with your university if they have a prescribed structure or layout that they expect you to work with. If not, it’s safe to assume the structure we’ll discuss here is suitable. And even if they do have a prescribed structure, you’ll still get value from this post as we’ll explain the core contents of each section.

Overview: S tructuring a dissertation or thesis

Acknowledgements page
Abstract (or executive summary)
Table of contents , list of figures and tables
Chapter 1: Introduction
Chapter 2: Literature review
Chapter 3: Methodology
Chapter 4: Results
Chapter 5: Discussion
Chapter 6: Conclusion
Reference list

As I mentioned, some universities will have slight variations on this structure. For example, they want an additional “personal reflection chapter”, or they might prefer the results and discussion chapter to be merged into one. Regardless, the overarching flow will always be the same, as this flow reflects the research process , which we discussed here – i.e.:

The introduction chapter presents the core research question and aims .
The literature review chapter assesses what the current research says about this question.
The methodology, results and discussion chapters go about undertaking new research about this question.
The conclusion chapter (attempts to) answer the core research question .

In other words, the dissertation structure and layout reflect the research process of asking a well-defined question(s), investigating, and then answering the question – see below.

A dissertation's structure reflect the research process

To restate that – the structure and layout of a dissertation reflect the flow of the overall research process . This is essential to understand, as each chapter will make a lot more sense if you “get” this concept. If you’re not familiar with the research process, read this post before going further.

Right. Now that we’ve covered the big picture, let’s dive a little deeper into the details of each section and chapter. Oh and by the way, you can also grab our free dissertation/thesis template here to help speed things up.

The title page of your dissertation is the very first impression the marker will get of your work, so it pays to invest some time thinking about your title. But what makes for a good title? A strong title needs to be 3 things:

Succinct (not overly lengthy or verbose)
Specific (not vague or ambiguous)
Representative of the research you’re undertaking (clearly linked to your research questions)

Typically, a good title includes mention of the following:

The broader area of the research (i.e. the overarching topic)
The specific focus of your research (i.e. your specific context)
Indication of research design (e.g. quantitative , qualitative , or mixed methods ).

For example:

A quantitative investigation [research design] into the antecedents of organisational trust [broader area] in the UK retail forex trading market [specific context/area of focus].

Again, some universities may have specific requirements regarding the format and structure of the title, so it’s worth double-checking expectations with your institution (if there’s no mention in the brief or study material).

Acknowledgements

This page provides you with an opportunity to say thank you to those who helped you along your research journey. Generally, it’s optional (and won’t count towards your marks), but it is academic best practice to include this.

So, who do you say thanks to? Well, there’s no prescribed requirements, but it’s common to mention the following people:

Your dissertation supervisor or committee.
Any professors, lecturers or academics that helped you understand the topic or methodologies.
Any tutors, mentors or advisors.
Your family and friends, especially spouse (for adult learners studying part-time).

There’s no need for lengthy rambling. Just state who you’re thankful to and for what (e.g. thank you to my supervisor, John Doe, for his endless patience and attentiveness) – be sincere. In terms of length, you should keep this to a page or less.

Abstract or executive summary

The dissertation abstract (or executive summary for some degrees) serves to provide the first-time reader (and marker or moderator) with a big-picture view of your research project. It should give them an understanding of the key insights and findings from the research, without them needing to read the rest of the report – in other words, it should be able to stand alone .

For it to stand alone, your abstract should cover the following key points (at a minimum):

Your research questions and aims – what key question(s) did your research aim to answer?
Your methodology – how did you go about investigating the topic and finding answers to your research question(s)?
Your findings – following your own research, what did do you discover?
Your conclusions – based on your findings, what conclusions did you draw? What answers did you find to your research question(s)?

So, in much the same way the dissertation structure mimics the research process, your abstract or executive summary should reflect the research process, from the initial stage of asking the original question to the final stage of answering that question.

In practical terms, it’s a good idea to write this section up last , once all your core chapters are complete. Otherwise, you’ll end up writing and rewriting this section multiple times (just wasting time). For a step by step guide on how to write a strong executive summary, check out this post .

Need a helping hand?

This section is straightforward. You’ll typically present your table of contents (TOC) first, followed by the two lists – figures and tables. I recommend that you use Microsoft Word’s automatic table of contents generator to generate your TOC. If you’re not familiar with this functionality, the video below explains it simply:

If you find that your table of contents is overly lengthy, consider removing one level of depth. Oftentimes, this can be done without detracting from the usefulness of the TOC.

Right, now that the “admin” sections are out of the way, its time to move on to your core chapters. These chapters are the heart of your dissertation and are where you’ll earn the marks. The first chapter is the introduction chapter – as you would expect, this is the time to introduce your research…

It’s important to understand that even though you’ve provided an overview of your research in your abstract, your introduction needs to be written as if the reader has not read that (remember, the abstract is essentially a standalone document). So, your introduction chapter needs to start from the very beginning, and should address the following questions:

What will you be investigating (in plain-language, big picture-level)?
Why is that worth investigating? How is it important to academia or business? How is it sufficiently original?
What are your research aims and research question(s)? Note that the research questions can sometimes be presented at the end of the literature review (next chapter).
What is the scope of your study? In other words, what will and won’t you cover ?
How will you approach your research? In other words, what methodology will you adopt?
How will you structure your dissertation? What are the core chapters and what will you do in each of them?

These are just the bare basic requirements for your intro chapter. Some universities will want additional bells and whistles in the intro chapter, so be sure to carefully read your brief or consult your research supervisor.

If done right, your introduction chapter will set a clear direction for the rest of your dissertation. Specifically, it will make it clear to the reader (and marker) exactly what you’ll be investigating, why that’s important, and how you’ll be going about the investigation. Conversely, if your introduction chapter leaves a first-time reader wondering what exactly you’ll be researching, you’ve still got some work to do.

Now that you’ve set a clear direction with your introduction chapter, the next step is the literature review . In this section, you will analyse the existing research (typically academic journal articles and high-quality industry publications), with a view to understanding the following questions:

What does the literature currently say about the topic you’re investigating?
Is the literature lacking or well established? Is it divided or in disagreement?
How does your research fit into the bigger picture?
How does your research contribute something original?
How does the methodology of previous studies help you develop your own?

Depending on the nature of your study, you may also present a conceptual framework towards the end of your literature review, which you will then test in your actual research.

Again, some universities will want you to focus on some of these areas more than others, some will have additional or fewer requirements, and so on. Therefore, as always, its important to review your brief and/or discuss with your supervisor, so that you know exactly what’s expected of your literature review chapter.

Now that you’ve investigated the current state of knowledge in your literature review chapter and are familiar with the existing key theories, models and frameworks, its time to design your own research. Enter the methodology chapter – the most “science-ey” of the chapters…

In this chapter, you need to address two critical questions:

Exactly HOW will you carry out your research (i.e. what is your intended research design)?
Exactly WHY have you chosen to do things this way (i.e. how do you justify your design)?

Remember, the dissertation part of your degree is first and foremost about developing and demonstrating research skills . Therefore, the markers want to see that you know which methods to use, can clearly articulate why you’ve chosen then, and know how to deploy them effectively.

Importantly, this chapter requires detail – don’t hold back on the specifics. State exactly what you’ll be doing, with who, when, for how long, etc. Moreover, for every design choice you make, make sure you justify it.

In practice, you will likely end up coming back to this chapter once you’ve undertaken all your data collection and analysis, and revise it based on changes you made during the analysis phase. This is perfectly fine. Its natural for you to add an additional analysis technique, scrap an old one, etc based on where your data lead you. Of course, I’m talking about small changes here – not a fundamental switch from qualitative to quantitative, which will likely send your supervisor in a spin!

You’ve now collected your data and undertaken your analysis, whether qualitative, quantitative or mixed methods. In this chapter, you’ll present the raw results of your analysis . For example, in the case of a quant study, you’ll present the demographic data, descriptive statistics, inferential statistics , etc.

Typically, Chapter 4 is simply a presentation and description of the data, not a discussion of the meaning of the data. In other words, it’s descriptive, rather than analytical – the meaning is discussed in Chapter 5. However, some universities will want you to combine chapters 4 and 5, so that you both present and interpret the meaning of the data at the same time. Check with your institution what their preference is.

Now that you’ve presented the data analysis results, its time to interpret and analyse them. In other words, its time to discuss what they mean, especially in relation to your research question(s).

What you discuss here will depend largely on your chosen methodology. For example, if you’ve gone the quantitative route, you might discuss the relationships between variables . If you’ve gone the qualitative route, you might discuss key themes and the meanings thereof. It all depends on what your research design choices were.

Most importantly, you need to discuss your results in relation to your research questions and aims, as well as the existing literature. What do the results tell you about your research questions? Are they aligned with the existing research or at odds? If so, why might this be? Dig deep into your findings and explain what the findings suggest, in plain English.

The final chapter – you’ve made it! Now that you’ve discussed your interpretation of the results, its time to bring it back to the beginning with the conclusion chapter . In other words, its time to (attempt to) answer your original research question s (from way back in chapter 1). Clearly state what your conclusions are in terms of your research questions. This might feel a bit repetitive, as you would have touched on this in the previous chapter, but its important to bring the discussion full circle and explicitly state your answer(s) to the research question(s).

Next, you’ll typically discuss the implications of your findings? In other words, you’ve answered your research questions – but what does this mean for the real world (or even for academia)? What should now be done differently, given the new insight you’ve generated?

Lastly, you should discuss the limitations of your research, as well as what this means for future research in the area. No study is perfect, especially not a Masters-level. Discuss the shortcomings of your research. Perhaps your methodology was limited, perhaps your sample size was small or not representative, etc, etc. Don’t be afraid to critique your work – the markers want to see that you can identify the limitations of your work. This is a strength, not a weakness. Be brutal!

This marks the end of your core chapters – woohoo! From here on out, it’s pretty smooth sailing.

The reference list is straightforward. It should contain a list of all resources cited in your dissertation, in the required format, e.g. APA , Harvard, etc.

It’s essential that you use reference management software for your dissertation. Do NOT try handle your referencing manually – its far too error prone. On a reference list of multiple pages, you’re going to make mistake. To this end, I suggest considering either Mendeley or Zotero. Both are free and provide a very straightforward interface to ensure that your referencing is 100% on point. I’ve included a simple how-to video for the Mendeley software (my personal favourite) below:

Some universities may ask you to include a bibliography, as opposed to a reference list. These two things are not the same . A bibliography is similar to a reference list, except that it also includes resources which informed your thinking but were not directly cited in your dissertation. So, double-check your brief and make sure you use the right one.

The very last piece of the puzzle is the appendix or set of appendices. This is where you’ll include any supporting data and evidence. Importantly, supporting is the keyword here.

Your appendices should provide additional “nice to know”, depth-adding information, which is not critical to the core analysis. Appendices should not be used as a way to cut down word count (see this post which covers how to reduce word count ). In other words, don’t place content that is critical to the core analysis here, just to save word count. You will not earn marks on any content in the appendices, so don’t try to play the system!

Time to recap…

And there you have it – the traditional dissertation structure and layout, from A-Z. To recap, the core structure for a dissertation or thesis is (typically) as follows:

Acknowledgments page

Most importantly, the core chapters should reflect the research process (asking, investigating and answering your research question). Moreover, the research question(s) should form the golden thread throughout your dissertation structure. Everything should revolve around the research questions, and as you’ve seen, they should form both the start point (i.e. introduction chapter) and the endpoint (i.e. conclusion chapter).

I hope this post has provided you with clarity about the traditional dissertation/thesis structure and layout. If you have any questions or comments, please leave a comment below, or feel free to get in touch with us. Also, be sure to check out the rest of the Grad Coach Blog .

Psst… there’s more (for free)

This post is part of our dissertation mini-course, which covers everything you need to get started with your dissertation, thesis or research project.

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36 Comments

many thanks i found it very useful

Glad to hear that, Arun. Good luck writing your dissertation.

Such clear practical logical advice. I very much needed to read this to keep me focused in stead of fretting.. Perfect now ready to start my research!

what about scientific fields like computer or engineering thesis what is the difference in the structure? thank you very much

Thanks so much this helped me a lot!

Very helpful and accessible. What I like most is how practical the advice is along with helpful tools/ links.

Thanks Ade!

Thank you so much sir.. It was really helpful..

You’re welcome!

Hi! How many words maximum should contain the abstract?

Thank you so much 😊 Find this at the right moment

You’re most welcome. Good luck with your dissertation.

best ever benefit i got on right time thank you

Many times Clarity and vision of destination of dissertation is what makes the difference between good ,average and great researchers the same way a great automobile driver is fast with clarity of address and Clear weather conditions .

I guess Great researcher = great ideas + knowledge + great and fast data collection and modeling + great writing + high clarity on all these

You have given immense clarity from start to end.

Morning. Where will I write the definitions of what I’m referring to in my report?

Thank you so much Derek, I was almost lost! Thanks a tonnnn! Have a great day!

Thanks ! so concise and valuable

This was very helpful. Clear and concise. I know exactly what to do now.

Thank you for allowing me to go through briefly. I hope to find time to continue.

Really useful to me. Thanks a thousand times

Very interesting! It will definitely set me and many more for success. highly recommended.

Thank you soo much sir, for the opportunity to express my skills

Usefull, thanks a lot. Really clear

Very nice and easy to understand. Thank you .

That was incredibly useful. Thanks Grad Coach Crew!

My stress level just dropped at least 15 points after watching this. Just starting my thesis for my grad program and I feel a lot more capable now! Thanks for such a clear and helpful video, Emma and the GradCoach team!

Do we need to mention the number of words the dissertation contains in the main document?

It depends on your university’s requirements, so it would be best to check with them 🙂

Such a helpful post to help me get started with structuring my masters dissertation, thank you!

Great video; I appreciate that helpful information

It is so necessary or avital course

This blog is very informative for my research. Thank you

Doctoral students are required to fill out the National Research Council’s Survey of Earned Doctorates

wow this is an amazing gain in my life

This is so good

How can i arrange my specific objectives in my dissertation?

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What is a Dissertation? Undergrad, Masters & PhD

A dissertation is a long written piece of academic research completed as part of a university degree.

The dissertation will be the longest thing you write at university. It might be anywhere from:

Shortest: 5000 words long (a baby undergraduate dissertation), up to
Longest: 100,000 words (a PhD dissertation in the social sciences).

Your dissertation will explain the processes and results of research that you conducted. You would also write an analysis of the results and recommendations for further research.

You usually complete your dissertation at the end of your degree, so in North America you might hear people calling it the “capstone project”.

Difference between a Dissertation and Thesis

We often use the terms ‘dissertation’ and ‘thesis’ interchangeably. I’ve also read a lot of articles out there on the internet that claim that there are clear differences between the two. There aren’t.

I’ve completed an undergraduate and a doctoral dissertation. I’ve supervised well over 100 dissertation students at undergraduate, masters and PhD level. I’ve taught at universities in Europe, Australia and North America. In all my time, it’s been quite apparent to me that people use the terms interchangeably.

Now, there is also another time we use the term ‘thesis’. A thesis is also known as your main argument in an essay and/or dissertation.

So, technically, a dissertation contains a thesis . The dissertation is the written report that you can pick up and carry around. The thesis is the key argument you’re making within the written report.

But save yourself the stress of trying to differentiate between the two: in 90% of all situations, when someone says ‘dissertation’ or ‘thesis’ they mean the same thing: they just mean “that big project you’ve been working on for the past 2 years of your life and you want to throw out the window.”

What is a Dissertation Supervisor?

When you start your dissertation, you’ll be allocated a dissertation supervisor. Your supervisor will guide you through the process.

For undergraduate students, this may be the first time you’ve worked closely in a one-to-one environment with a university professor before. You’ll meet up for regular meetings and they’ll look over drafts of your work and tell you how to improve it.

The 3 Levels of Dissertation

Dissertations can be written during undergraduate and postgraduate studies. Here are the three different levels:

Honors or Undergraduate Dissertation

You may be asked to write a dissertation to get your undergraduate degree. Outside of North America, this is a requirement if you want to graduate “with honors”.

An undergraduate dissertation will range from about 5,000 to 30,000 words. Most undergraduate dissertations that I’ve come across usually come out at about 10,000 words and take their full senior to complete. However, different universities have different standards.

Undergraduate students are not usually asked to do complicated research studies. It’s an introduction to academic research, so you’re likely only going to do a small pilot study, but it’s good for learning how research happens and getting your toes wet.

You’ll also get to zoom-in on a topic of your choice, so it’s a chance to show future employers what your interests are and how you’ve pursued them at university level.

Masters Dissertation

A masters dissertation is completed by people who choose to do a masters degree “by research”. Some masters by coursework degrees don’t have a dissertation component, so you may not have to do a dissertation at all.

At masters level, you’ll need to step up your game a little. Masters-level dissertations typically range from 15,000 to 50,000 words and involve a small but rigorous research study.

Many of the masters students who I have supervised in the past have conducted case study or ‘action research’ projects where they did a study in their own workplace.

Others have done standalone studies where they’ve come up with a topic to research and gone ahead to conduct the research over about a 12 to 24 month period.

PhD Dissertation

A PhD or doctorate dissertation is the big kahuna of dissertations. If you successfully write one of these, you can call yourself ‘Doctor’ for the rest of your days (but you won’t be one of those doctors – you know, the ones with stethoscopes).

Most PhD dissertations are 80,000 to 100,000 words long – or about the length of your average novel. Now that’s a lot of words!

Your PhD absolutely has to (at a minimum) make a unique contribution to knowledge. That means you need to study something no one else has ever studied before and convince experts in the field that it was a well-done and valid study. Ideally you should also be able to tell people that you’re a world-leading expert in the topic you studied.

What is the Structure of a Dissertation?

There are many different ways you can structure your dissertation. Different disciplines have different expectations and standards.

Many of my students freak out that they have to write such long pieces of work. But, by splitting the dissertation up into sections like I have done below, they come to realize that it’s just a whole lot of short pieces all glued together to make a coherent, interesting story.

Here’s one of the most common structures that 95% of all of my students in Arts, Humanities and Social Sciences follow:

1. Introduction (10%)

The introduction gives an overview of the topic to readers and lets them know of its importance. It will introduce the reader to the research topic and the question you’re studying. It might also introduce some key terms and give an overview of the structure of the piece to come.

2. Literature Review (15 – 25%)

A literature review will give a detailed overview of everything that’s currently known about the topic. It’ll show the reader that you have deep knowledge of the topic and that you’re qualified to conduct the study.

Ideally, you’ll also use the literature review to show how your study builds upon what’s already known. You don’t want to just do a study that’s already been done, but you can learn a lot from previous studies and use their knowledge to make your work better.

3. Theoretical Framework (15 – 25%)

This section isn’t always used (you’ll probably skip it for an undergraduate dissertation), but it is common in some Masters and PhD level studies. It outlines what lens you’re using to critique concepts. Maybe you’ll use a theory like ‘grounded theory’, ‘ postmodernism ’, ‘ critical theory ’ or ‘feminist theory’ to study something from a particular perspective. You’ll need to show your reader that you have deep knowledge of that theory that you’re using, and why the theory is worth employing in your study.

If this is all too confusing to you now, never mind: you may not even need to use a theoretical framework , depending on the requirements of your course.

4. Methodology (15 – 25%)

A methodology section outlines how you will conduct your study. What methods, procedure and ethical guidelines will you use? How will you ensure your work is honest, trustworthy, reliable or accurate?

5. Results (10%)

The results section outlines what you found out. Particularly in quantitative work (that’s a study that uses methods that measure things using numbers and algorithms), you’ll have a results section separate from the analysis section. In qualitative work , often the results and analysis are blended together.

6. Analysis (15 – 25%)

The analysis is the section where you critique the results. What do the results reveal about your topic? How do your results show us something new or provide fresh insights into an old topic?

7. Conclusion (10%)

The conclusion will usually sum up what you’ve said and explain its relevance for researchers or practitioners. You will give recommendations to future researchers on what studies they might want to undertake, or you might tell practitioners how your findings could be used to improve their workplace.

Conclusions also often outline weaknesses or challenges you faced. This is important to show that you’ve reflected on your blindspots and acknowledged them. No study is perfect.

How to Conduct a Research Study for a Dissertation

You’ll have to choose a research topic, study it in depth, and conduct original research on it. It seems like a daunting task, but with your dissertation supervisor, you’ll work together to break it down into manageable chunks.

An Example: Laura’s Undergraduate Dissertation

Let’s say Laura has to write a 10,000 word undergraduate dissertation in her Education Studies degree. This would be pretty common if she wants to graduate with honors. Here’s what she might do:

1. Choose a Topic

Laura needs to choose a topic to write about. She is really interested in play-based learning , so she chose this as her topic for her dissertation.

>>>RELATED POST: 51 BEST EDUCATION DISSERTATION TOPIC IDEAS

2. Conduct a Literature Review

Laura started reading up about the topic and write a 2,500 word review of all of the literature that’s out there on play-based learning. She found a few themes in the articles she read, so she split it up into 6 sections for the 5 themes she found, with 500 words in each section.

3. Come up with a Research Question

Now that Laura has some in-depth knowledge about her topic, she’s going to have to conduct some original research of her own to prove her expertise in the topic. Usually, we ask students to do research that no one has done before so that it is unique and tells us something new about the topic. Fortunately, because she’s done her literature review, Laura will now have deep knowledge of the topic and know things about play-based learning that haven’t been researched in the past.

Let’s say Laura decided that she wanted to interview teachers about the challenges they face during play-based learning lessons. She has decided to go out and interview, say, 10 teachers at the local school.

4. Devise a Methodology

Because it’s an academic study, Laura needs to prove that she did the research systematically. If she doesn’t have a procedure to follow, her results won’t be valid. So, she has to write a section in her dissertation about how she conducted the research to ensure it is reliable. This might be another 2,500 words and explain her methodology (procedure) and how she did it ethically (didn’t cheat or harm anyone).

5. Get Approval to Conduct the Study

Before Laura conducts the study, she’ll have to get it approved by:

Her supervisor
Her university’s research ethics committee

Usually, she’ll have to present a written research proposal that outlines her plans and shows she’s thought about her methodology and literature review. This can be a long process, but it’s helped by the fact that he’s already conducted her literature review, written her methodology, and gotten them checked by her supervisor on a regular basis.

6. Conduct the Study

Once she’s gotten approval, Laura will have to go out and conduct the study!

She’ll go out to schools and interview the 10 teachers using a recording device – asking them all the same questions – and then come back to university and look over their answers.

7. Analyze the Results

Laura will have to look through the interviews to see what key points were that kept coming up in her interviews. We call these recurring points ‘key themes’.

The first thing Laura will do is transcribe the interviews. This means she’ll listen to the interviews and type them up word-for-word (‘verbatum’). Then, she’ll print them out and highlight important or revealing quotes that she thinks appeared multiple times in each interview.

Sometimes, people use software to help them find these themes.

8. Write up the Results

Now that Laura thinks she has some key themes from the interviews, she’ll write her ‘analysis’ and /or ‘results’ sections of her dissertation. She will write about all the themes she found and provide some quotes from the teachers to back up her points.

9. Write an Introduction and Conclusion

Lastly, Laura needs to write her introduction and conclusion . These come last when everything else was written. The introduction will give the reader a fly-by of what is said throughout the dissertation. The conclusion will highlight the importance of the results, maybe discuss some weaknesses of her study, and make recommendations for practitioners or future researchers based on her newfound knowledge.

How to Get Started

I’ve got a ton of resources on this website to help you write your dissertation. My goal is to show you how to do it in easy to understand language – no academic B.S.! I recommend you get started with your dissertation by reading my post on how to choose a dissertation topic .

Chris Drew (PhD)

Dr. Chris Drew is the founder of the Helpful Professor. He holds a PhD in education and has published over 20 articles in scholarly journals. He is the former editor of the Journal of Learning Development in Higher Education. [Image Descriptor: Photo of Chris]

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How Many Words In A Dissertation? [A Word Count Guide]

/ By Alan Reiner

/ September 6, 2022

When students begin writing a dissertation, the first thing they look for is the dissertation’s structure and breakdown.

How Many Words In A Dissertation? [A Word Count Guide]

It can be much easier to write a dissertation if you are aware of how many words each chapter should contain.

One of the most frequent mistakes students make when writing their dissertations is underwriting or overwriting.

Because of this, it’s critical to establish up front the recommended word count for each chapter of the dissertation.

Because it gives you the foundation for writing a dissertation, the format and breakdown of the number of words are as crucial to dissertation writing as a building’s plan or a map.

Each institution also has its own standards and regulations.

Your professor should provide you a dissertation writing prompt or dissertation template if you are required to write a dissertation.

You may then create your schedule taking into account the specifics of the word count for each of the sections.

The university where you are enrolled sets the dissertation word limit, and the length of a master’s dissertation may differ from that of a doctoral dissertation or an undergraduate dissertation.

Most dissertations have a word count of between 10,000 and 15,000 words, however some can exceed 30,000 words.

This article will discuss how to format and complete your dissertation according to word count guidelines based on a 10,000 word dissertation.

What Is A Dissertation?

In comparison to essays or reports, a dissertation is a longer piece of writing that calls for more research and wider reading.

The dissertation gives you the chance to explore a subject that interests you from planning to conclusion.

Additionally, it will provide you the chance to show off and develop particular abilities that are highly valued by both prospective companies and university admissions.

Along with critical thinking and writing skills, this also involves problem-solving and time-management abilities.

There are two main sorts of dissertations: those with primary research components, which call for you to collect your own data, and those with secondary research components, which rely on data gathered by other researchers.

You get the chance to conduct study on a subject that interests you in a dissertation.

You can get ideas from a variety of places, such as a recent news story you watched, recent advancements in your area of study, an experience at work, or a personal agenda.

Whatever the subject, you need to make absolutely sure it will hold your interest for a long time, that you can finish it by the deadline, and that you are able to contribute something unique to your industry.

Now you know the basics of what a dissertation is, let’s look at how to structure it in terms of the word count.

Introduction: 1000 Words

An introduction is the first major chapter of a dissertation. A dissertation’s initial chapter makes up 10% of the entire document.

The first section of the dissertation should be 1000 words long if it will be 10,000 words in length.

You must establish your study topic, present your research questions, declare the dissertation’s aims, and give a general summary of the dissertation’s structure in these 1000 words.

Literature Review: 3000 Words

A dissertation’s literature review chapter makes up 30% of the entire document.

The dissertation’s chapter on literature review will be 3000 words long in a 10,000 word dissertation.

You must explore the gap in the existing literature, adopt a methodological stance toward the subject, suggest potential answers to unanswered issues, and, with the aid of the new data, strengthen the body of current knowledge pertinent to the dissertation topic idea in these 3000 words.

Research Methodology: 1500 Words

A dissertation’s research technique chapter makes up 15% of the entire document.

The research technique chapter of a 10,000 word dissertation should be 1500 words long.

You must describe the dissertation’s overall format and organization in around 1500 words, as well as examine the data in great detail and give a thorough explanation of how the research techniques were evaluated.

Results: 500 Words

A dissertation’s results or findings chapter makes up 5% of the entire document.

The conclusions or results part of a 10,000 word dissertation is 500 words long.

A student’s analysis of a dissertation’s findings must go into great detail in these 500 words.

Analysis/Discussion: 3000 Words

A dissertation’s analysis and discussion chapter makes up 30% of the entire document.

The analysis and discussion chapter of the dissertation should be 3000 words long, just like the literature review.

You must give a thorough overview of the consequences of the findings that are pertinent to the dissertation’s central issue in these 3000 words.

Conclusion And Suggestions: 1000 Words

A dissertation’s conclusions and suggestions chapter makes up 10% of the entire dissertation.

The conclusions and suggestions chapter of a 10,000 word dissertation is 1000 words long.

You must summarize your dissertation’s main ideas in these 1000 words. The dissertation’s last chapter should leave the reader with a clear comprehension of the thesis.

References Section

To prevent plagiarism, students must cite reliable sources in their writing. The references section is not usually included in the word count specified by the university.

The amount of references is typically not capped by universities because it relies on the body of literature on a particular subject.

You shouldn’t, however, overlook any study or research project in your field.

To support your theory and demonstrate the importance and necessity of your study topic, you must verify the most recent references.

For the literature review chapter, you also require books, journals, research papers, and previously published pieces.

Final Thoughts

A major and extensive research project on a particular subject is the dissertation.

A dissertation is typically required of a student during his final year of study. The topic for the student’s dissertation might be chosen in accordance with his interests.

After deciding on a topic for your dissertation, you must thoroughly research it. Working with an advisor is essential for students completing undergraduate dissertations.

The requirements and instructions of the advisor must therefore be followed by the students as they create their dissertation, including the word count limitations.

When you’re asked to complete a dissertation, instructions on how to do so are given. The word limit of the dissertation is mentioned in these recommendations.

Reading your advisor’s prerequisites and guidelines and following the structure outlined above is the best way to adhere to the word count specified.

Alan Reiner

Hi, my name is Alan Reiner and I have been in the writing industry for almost seven years. I write articles that can span from 200 words all the way to 20,000 words every single day. How do I do it? With a lot of determination. All my way through school and college, I hated long-form assignments. I could never get into the groove of working on one piece for an extended period of time. My pieces were always late because I didn’t have the motivation to type them, let alone edit them.

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Is There A Word Limit For Dissertations?

Published by Alvin Nicolas at April 9th, 2024 , Revised On April 9, 2024

Dissertation writing is one of the hardest things to do in academic life. It takes months of hard work and meticulous research. Usually, one of the first questions that students ask about dissertations is, “Is there a word limit for a dissertation?”. Honestly, there is no one-size-fits-all for this. Several factors can impact the word limit of your thesis. This blog intends to answer this query in detail.

Word Count Variations

While many assume a universal word count for dissertations, the reality is far more complicated. Here’s a breakdown of the key factors that determine the expected word count:

Level Of Study

Undergraduate dissertations typically fall within the range of 8,000-15,000 words, while Master’s dissertations can range from 12,000-50,000 words. PhD theses, on the other hand, are often considered book-length, with expectations hovering around 70,000-100,000 words.

In fields such as STEM (Science, Technology, Engineering, and Mathematics), where empirical research and quantitative analysis are predominant, dissertations may tend to be more concise and focused on presenting empirical findings and statistical analyses.

Conversely, in disciplines like the humanities and social sciences, where theoretical frameworks and qualitative research methods are prevalent, dissertations may be more extensive and encompass a broader range of literature reviews , theoretical discussions, and case studies.

University Guidelines

Every university has its specific regulations regarding dissertation word count. These guidelines are usually outlined in program handbooks, department websites, or student handbooks. It’s crucial to consult these resources as the primary source of information.

with the advent of digital publishing platforms and online repositories, there has been a growing trend towards electronic theses and dissertations (ETDs). ETDs offer several advantages, including broader accessibility, enhanced searchability, and multimedia integration.

As a result, some academic institutions have revised their dissertation guidelines to accommodate the unique characteristics of ETDs, allowing for more flexibility in formatting and presentation.

Quality Over Quantity

While word count serves as a general framework, it’s essential to remember that quality ultimately trumps quantity. A concise, well-structured, and impactful dissertation with a lower word count can outperform a lengthy, meandering one that fails to address the research question effectively.

Here are some strategies to ensure your dissertation adheres to quality standards:

Focus on clarity and conciseness: Express your ideas clearly and concisely, avoiding unnecessary jargon or filler words.
Prioritise strong arguments and evidence: Ensure your dissertation is well-supported by relevant and credible sources , avoiding irrelevant tangents.
Structure your argument effectively: Organise your dissertation logically, ensuring a clear flow of information and a strong conclusion .

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Pro Tip: Always Ask Your Supervisor

Your supervisor is your primary guide throughout the dissertation journey. They can provide invaluable guidance on the expected word count for your specific program and research topic .

They can also help you refine your arguments, ensure your research is on track, and offer valuable feedback on your writing style and structure.

Schedule regular meetings with your supervisor to discuss your progress, clarify any doubts regarding word count expectations, and seek expert advice on crafting a compelling and impactful dissertation.

Frequently Asked Questions

Do dissertations have word limits.

Yes, dissertations typically have word limits set by academic institutions or specific departments. These limits can vary depending on the level of study and the discipline. Adhering to word limits ensures the dissertation remains focused and manageable for both the student and the examiners.

Is it possible to write a 10k-word dissertation in 2 days?

Writing a 10,000-word dissertation in 2 days is theoretically possible but highly challenging and not advisable. It would require intense focus, organisation, and discipline. However, rushing the process may compromise the quality of research and analysis, impacting the overall academic integrity and evaluation of the work.

How long is the longest dissertation?

The length of the longest dissertation varies, but some exceed 1,000 pages. For instance, in 2015, a Norwegian student, Magnus Carlsen, submitted a mathematics dissertation spanning 500 pages, while Shing-Tung Yau’s mathematics dissertation in 1976 reportedly reached over 1,000 pages. However, such extreme lengths are rare and depend on individual requirements and fields.

How long should a dissertation be?

The length of a dissertation varies widely depending on factors such as academic discipline, institution requirements, and research complexity. Typically, they range from 10,000 to 20,000 words for undergraduate dissertations, 15,000 to 50,000 words for master’s level, and 50,000 to 100,000 words or more for doctoral dissertations.

How Long is a Dissertation

How Long is a Dissertation? Concrete Answers

An undergraduate dissertation usually falls within the range of 8,000 to 15,000 words, while a master's dissertation typically spans from 12,000 to 50,000 words. In contrast, a PhD thesis is typically of book length, ranging from 70,000 to 100,000 words.

Let’s unravel the mystery of how long should a dissertation be. If you’ve ever wondered about this, look no further. Our comprehensive guide delves into the nitty-gritty of dissertation lengths across diverse academic realms. Whether you're a budding grad student, an academic advisor, or just curious, we've got you covered.

From Master's to PhD programs, we decode the variations in length requirements and shed light on disciplinary disparities. In general, dissertations are 150 to 300 words. But factors influence the length of these daunting scholarly requirements! But fear not as we break it down for you.

We’ll unveil the secrets behind dissertation writing, from how they reflect the depth and breadth of research to offering invaluable tips for planning and writing. So, if you're ready to demystify the daunting dissertation journey, hop on board! Let's navigate the labyrinth of academia together and empower you to conquer your scholarly aspirations.

Institutional guidelines on dissertation length

You can think of institutional guidelines as purveyors of academic excellence. Ever wondered why schools impose specific requirements like "Chapter 1: The Introduction must be at least 35 pages long and no more than 50 pages"?

It's not just about arbitrary rules! However, it's about striking the perfect balance between guidance and practicality. These guidelines serve as guardrails, steering students like you towards scholarly success without overwhelming faculty with endless pages to peruse.

Moreover, credibility is key here! A mere 8-page literature review won't cut it in the realm of academia. But fear not, for most institutions provide dissertation templates, complete with essential headings to streamline the process.

And for those seeking a helping hand, a dissertation writing service like ours stands ready to assist, ensuring your masterpiece meets the lofty standards of academic rigor. So, embrace the guidelines, weave your narrative, and let your dissertation shine with scholarly prowess.

Variations in dissertation length across academic disciplines

Dissertation length varies significantly across academic disciplines due to differences in research methods, data presentation, and writing conventions. Here's a general overview of how dissertation length can differ by discipline:

Humanities and Social Sciences: Dissertations in these fields tend to be longer because they often involve comprehensive literature reviews, detailed theoretical analyses, and extensive qualitative data. It's not uncommon for dissertations in history, literature, or sociology to exceed 200 pages.
Sciences and Engineering: Dissertations in the sciences and engineering might be shorter in terms of page count but are dense with technical details, data, charts, and appendices. They often range between 100 to 200 pages. However, the length can vary significantly depending on the complexity of the work and the requirements of the specific program.
Arts and Design: In creative disciplines, the dissertation might include a practical component (like a portfolio, exhibition, or performance) alongside a written thesis. The written component might be shorter, focusing on the conceptual and contextual analysis of the creative work, usually ranging from 40 to 80 pages.
Professional Fields (Business, Education, etc.): Dissertations in professional fields such as business or education often focus on case studies, practical applications, and policy analysis. These dissertations can vary widely in length but often fall in the range of 100 to 200 pages.

Dissertations vary in length due to many factors, which shows the diverse nature of academic research. Disciplinary differences are significant, as each field may have distinct expectations regarding the depth and scope of the study.

The type of analysis conducted, whether qualitative, quantitative, or a combination of both, also impacts the length.

For instance, qualitative studies may involve extensive textual analysis, resulting in longer manuscripts, while quantitative studies may require detailed statistical analyses. Additionally, the specific area of research within a discipline can also affect the length, as certain topics may necessitate more:

extensive literature reviews
data collection (e.g., fieldwork, surveys, interviews, lab work)
discussion sections

While the average length typically falls within the range of 150-300 pages, it's essential to recognize the nuanced factors contributing to variations in dissertation length. You must remain informed about the variables shaping your document's overall size and structure to deliver exemplary results.

Factors influencing the length of doctoral dissertations

Various factors determine the length of a dissertation, such as the specific guidelines set by universities, the type of research conducted, the extent of analysis required, and the presence of supplementary materials.

Several factors come into play when determining the ideal length of a dissertation. University guidelines set the tone, with institutions offering word count ranges typically between 8,000 to 15,000 words for undergraduates and masters and 75,000 to 100,000 words for PhD.

Yet, beyond these guidelines, the nature of your research holds sway.

Disciplines vary, with humanities favoring extensive literature reviews and scientific fields emphasizing methodological intricacies. Depth of analysis matters, too; a thorough exploration demands more space.

Balancing these elements ensures a well-rounded dissertation. So, as you embark on your scholarly journey, consider these factors carefully. By understanding them, you'll craft a dissertation that not only meets academic standards but also showcases your analytical prowess and depth of intelligence.

Length, components, and scholarly dedication

Many aspiring scholars think, "How long is a doctoral dissertation?" However, the answer isn't straightforward. Yes, length varies, but let's not forget to factor in a crucial element: time. And we know because many students have instructed us to “ write my dissertation !”

Remember, a dissertation isn't penned in one sitting. Rather, it often evolves from smaller academic chapters. This gradual process allows students to explore diverse topics before committing to a book-length project they're passionate about.

Beyond the central argument lie various components that contribute to the overall length. Take the literature review, for example—an essential segment that contextualizes the research by analyzing existing scholarship. Then there's the myriad of ancillary elements like the title page, acknowledgments, abstract, and appendix, each adding to the dissertation's page count.

It’s the accumulation of these parts that determines the length. So, while the answer may not be a precise number, it's crucial to acknowledge many elements that make up a doctoral dissertation. And for those embarking on this scholarly journey, we can help you conquer this challenge.

How Long is a Dissertation Chapter? Uncover the Mystery

When it comes to dissertation length, most grad students fret over how long each chapter should be. While there's no one-size-fits-all answer, there is a golden rule–chapters should be long enough to address the research question comprehensively.

Think quality over quantity! Ask any dissertation adviser, and they’ll say aiming to fill a predetermined number of pages shouldn’t be the goal. Rather, you must thoroughly explore your topic, conduct extensive research, and present your findings effectively.

Your writing style and the unique nature of your research also play pivotal roles. So, whether your chapter spans 50 pages or 150, ensure it's packed with substantive content that advances your study. Ultimately, it's not about hitting a page count but about delivering a high-quality scholarly contribution.

Writing an Excellent PhD Dissertation: Strategies and Tips

After you’re done pondering on how many pages should a dissertation be, you can move on with production. Wondering how to write a dissertation , here are some tips:

Start with a significant research topic that inspires you and formulate a clear research question.
Thoroughly review existing literature to contextualize your study.
Develop a robust methodology and collect comprehensive data.
Analyze findings meticulously and synthesize them effectively.
Ensure logical flow throughout your writing, striving for clarity and coherence.
Engage with other scholars, both peers and mentors, to refine your work.
Maintain consistency in formatting and adhere to academic standards.

Remember, with meticulous planning and dedication, you'll produce a dissertation that makes you and your mentors proud.

How long is a PhD dissertation?: The Conundrum

Do you belong to the list of students who feel bewildered about PhD dissertation length? Many wonder because of the length’s variability across disciplines and institutions. The general ballpark figure for a completed doctoral dissertation is typically between 150 to 300 pages. Yet, this can vary widely depending on factors such as:

field of study
research methodology used
individual institutional requirements
guidelines of mentors

Although there's no one-size-fits-all answer, understanding these variables can help you navigate the ambiguity surrounding dissertation length. And with proper planning, you can create an impressive output.

Frequently asked questions

How to properly plan and prepare for a long dissertation .

Thinking about how long is a dissertation for PhD stops students on their track. It can indeed be overwhelming when you think of the amount of work involved. But with proper planning, you can crush your goals. Here are some helpful tips:

Break down your work into manageable steps.
Define your research question clearly and set realistic milestones.
Create an outline to help you write. `
Have a schedule for research, writing, and revisions.
Stay organized with notes, citations, and references.
Seek feedback from advisors and peers throughout the process.

Remember, embrace the challenges you face as opportunities for growth!

Are supporting materials counted in the dissertation word count?

Worried about how long is a dissertation paper and if yours will make the cut? Remember, appendices, tables, and figures, while essential, aren't factored into the word count. So, you can incorporate these supplementary elements without concerns about exceeding word limits.

If you’re pressed for time, you can buy dissertation online . Just ensure to give appropriate instructions so the final output adheres to your institution's formatting guidelines. With these supporting materials appropriately included, your dissertation will be comprehensive.

Are there different types of dissertations?

When asking how long are dissertations, one of the first things to consider is the field of study. Various types of dissertations exist, often shaped by research methodology. It can be quantitative to qualitative studies or triangulation (a blend of both).

Instead of worrying about the length, determine your research approach—whether it's primary or secondary, qualitative or quantitative. This decision significantly impacts the depth and breadth of your investigation, ultimately influencing the expected length of your dissertation. By aligning your research methods with your academic goals, you'll gain clarity on the scope of your writing project.

Another aspect of the length of the entire document is the type of thesis - be it an undergraduate thesis, masters thesis, or thesis for an advanced degree, most dissertations for academic programs are lengthy. The more advanced the degree, the longer the thesis usually is.

Are dissertations just for PhDs?

How many pages in a dissertation is something most students worry about. But is a dissertation just for doctoral candidates? In some countries, dissertations are exclusive to PhDs. However, for other countries, the term “dissertation” is interchangeable with "thesis." Why so?

Because both are research projects completed for undergraduate or postgraduate degrees. Keep in mind that whether you’re pursuing a bachelor's, an MA, or a doctorate, dissertation writing demonstrates your research skills and academic proficiency.

Your doctoral degree, just like your graduate degree from a graduate school, shows you can successfully navigate the research process, theoretical framework, and dissertation defense. Sure, the scope of research was less focused while you were a graduate student with a master's thesis. Nonetheless, it shows consistent work and dedication.

How many chapters in a dissertation?

Still mulling over how long does a dissertation have to be and how many chapters you must write? Dissertations usually consist of five to seven chapters. These typically cover the following:

introduction
literature review
methodology

However, the structure can vary depending on your field of study and specific institutional guidelines. Each chapter plays a vital role, leading readers through your research journey, from laying the groundwork to presenting findings and drawing conclusions.

How do I find a reputable dissertation writer to help me?

Worried about how long are PhD dissertations? No need to worry. You can opt for professional help, and there’s no shame in that! Research for online platforms that specialize in academic writing services like our Studyfy team.

You can take a peek at our positive reviews and testimonials, showing our track record of delivering high-quality work. Choose a writer who possesses expertise in your field of study and can meet your specific requirements. Prioritize the following:

clear communication
appropriate instructions (from word count to deadlines)
transparency regarding pricing
upfront about revision policies.

By vetting potential writers and choosing a reputable service, you can secure the assistance of a reliable professional to guide you through the dissertation writing process.

What is an Undergraduate Dissertation?

While most discussions of ‘dissertations’ focus on postgraduate study, undergraduate students also frequently complete undergraduate dissertations as one part of their overall degree. This article will provide an overview of the undergraduate dissertation and its standard requirements at UK universities.

What is a Bachelor’s or Undergraduate Dissertation?

An undergraduate dissertation (or Bachelors dissertation) is essentially an extended piece of research and writing on a single subject. It is typically completed in the final year of a degree programme and the topic is chosen based on a student’s own area of interest. It allows the student to explore a narrow topic in greater depth than a traditional module. The student works with a single supervisor chosen from their departmental faculty, and this individual provides guidance and support throughout the course of the research.

How does Undergraduate Dissertation differ from Postgraduate Dissertation?

The bachelor’s dissertation varies significantly from postgraduate dissertations. First, it is considerably shorter in length, averaging only 10,000 – 15,000 words. While this is much shorter than a Masters or PhD dissertation, it is much longer than any other piece of writing required in undergraduate programmes.

Secondly, the undergraduate dissertation is not required to contain the same level of originality as postgraduate work. Students are still expected to complete the work independently and cite all sources, but they do not need to present any new ideas. It is sufficient to conduct thorough, sustained research and present a critical discussion of a relatively narrow research topic. It is not necessary to discuss the philosophical context of the research or to design a distinct methodology. However, it is important to note that the best bachelor’s dissertations demonstrate genuine critical thinking skills and an ability to combine information derived from many different sources.

Finally, the undergraduate dissertation also varies in the type of research conducted, which will be more focused on texts and documents rather than active field research. For the most part students will examine secondary sources or easily accessible primary sources, and they will not be required to pursue obscure or costly data sources. In some disciplines a practical element may be incorporated into the dissertation, but this is usually performed with less independence than would be expected at the postgraduate level.

Undergraduate Dissertation Requirements

Topic selection : At the end of the penultimate year of study students will be asked to select an area of research for the dissertation. You should be sure to choose a topic that is likely to hold your interest over a long period of time, as it is difficult and dangerous to change your topic once your research period has begun.
Finding a supervisor : Depending on the university, there may be a formal process in place for allocating supervisors or students may simply approach a member of faculty that they are interested in working with. It can be helpful to meet with potential supervisors before registering an intended research area, as they can help you to refine your proposed topic and give you suggestions for specific research questions. Once the formal dissertation period begins you will meet with your supervisor regularly to discuss your progress and refine your study.
Early research : Most students begin general reading around their chosen subject area in the summer before the final year. This period is truly key in developing a broad awareness of the subject, and it prepares you for more targeted research once your final year commences.
Research outline : Once the undergraduate dissertation module begins (usually at the start of year 3) you will be asked to draft a brief dissertation outline of about 2-3 pages in length. This should include a summary of chapters and a full bibliography. By now you should have decided upon a narrower aspect of your topic, and this should be formulated into a research title with the help of your supervisor.
Refined research and writing : At this stage, your research will be much more targeted, in order to pursue your proposed dissertation agenda. You should also begin writing as soon as possible. Most departments require students to submit a substantial piece of writing (3,000-5,000 words) by the end of the first term. Remember that you should submit at least one draft to your supervisor before this deadline, in order to give you time to make necessary revisions.
Final dissertation : When you’ve completed the writing process you should have roughly three or four chapters, as well as an Introduction and Conclusion. It must all be formatted according to university guidelines, and you must be certain to properly cite all if your sources.
Binding and submission : Unlike undergraduate essays, the undergraduate dissertation must be professionally bound before being submitted. This is usually done on campus but you need to allow enough time for the process before your submission deadline. The final due date is usually at the end of the second term of the student’s final year.

The marking system for undergraduate dissertations is the same that is used for all other aspects of the undergraduate degree. Students must generally achieve a minimum mark of 40 to pass, but most will aspire to higher marks than this. Marks of 60-69 earn a classification of 2:1 or B; Marks over 70 earn a First classification or A.

The dissertation is marked as a stand-alone module and it is combined with other module marks to determine the overall degree classification. There is no standard rule for UK universities regarding the weight of the dissertation mark when calculating the degree average, so it’s best to check with your university to understand their individual regulations.

For many students, the undergraduate dissertation provides their first taste of prolonged independent research. This can be a daunting experience but it is helpful to remember that your departmental supervisor can be called upon frequently for advice and support. If you work at a consistent and dedicated pace you will have no problem completing the dissertation on time. You will also develop important research skills that can prepare you for postgraduate study.

Bryan Greetham, 2009. How to Write your Undergraduate Dissertation (Palgrave Study Skills). Edition. Palgrave Macmillan.

Manchester Metropolitan University, 2008. Guidance on the Writing of Undergraduate Dissertations. Available: http://www.ioe.mmu.ac.uk/cpd/downloads/UNDERGRAD%20DISSERTATION%20HANDBOOK.pdf. Last accessed 08 Apr 2013.

University of Warwick, 2010. Dissertation Guidelines for Undergraduate Study. Available: http://www2.warwick.ac.uk/study/cll/currentstudents/undergraduatemodules/ce302dissertation/dissertation_guidelines_2010.pdf. Last accessed 08 Apr 2013. Nicholas Walliman, 2004. Your Undergraduate Dissertation: The Essential Guide for Success (SAGE Study Skills Series). 1 Edition. SAGE Publications Ltd.

Library Guides

Dissertations 1: getting started: writing a proposal.

Starting Your Dissertation
Choosing A Topic and Researching
Devising An Approach/Method
Thinking Of A Title
Writing A Proposal

What is a Proposal?

Before you start your dissertation, you may be asked to write a proposal for it.

The purpose of a dissertation proposal is to provide a snapshot of what your study involves. Usually, after submission of the proposal you will be assigned a supervisor who has some expertise in your field of study. You should receive feedback on the viability of the topic, how to focus the scope, research methods, and other issues you should consider before progressing in your research.

The research proposal should present the dissertation topic, justify your reasons for choosing it and outline how you are going to research it . You'll have to keep it brief, as word counts can vary from anywhere between 800 to 3,000 words at undergraduate, postgraduate and doctoral levels.

It is worth bearing in mind that you are not bound by your proposal. Your project is likely going to evolve and may move in a new direction . Your dissertation supervisor is aware that this may occur as you delve deeper into the literature in your field of study. Nevertheless, always discuss any major developments with your supervisor in the first instance.

Reading for your Proposal

Before writing a proposal, you will need to read. A lot! But that doesn’t mean you must read everything. Be targeted! What do you really need to know?

Instead of reading every page in every book, look for clues in chapter titles and introductions to narrow your focus down. Use abstracts from journal articles to check whether the material is relevant to your study and keep notes of your reading along with clear records of bibliographic information and page numbers for your references.

Ultimately, your objective should be to create a dialogue between the theories and ideas you have read and your own thoughts. What is your personal perspective on the topic? What evidence is there that supports your point of view? Furthermore, you should ask questions about each text. Is it current or is it outdated? What argument is the author making? Is the author biased?

Approaching your reading in this way ensures that you engage with the literature critically. You will demonstrate that you have done this in your mini literature review (see Proposal Structure box).

If you have not yet started reading for your proposal, the Literature Review Guide offers advice on choosing a topic and how to conduct a literature search. Additionally, the Effective Reading Guide provides tips on researching and critical reading.

Proposal Structure

So, how is a dissertation proposal typically structured? The structure of a proposal varies considerably.

This is a list of elements that might be required. Please check the dissertation proposal requirements and marking criteria on Blackboard or with your lecturers if you are unsure about the requirements.

Title : The title you have devised, so far - it can change throughout the dissertation drafting process! A good title is simple but fairly specific. Example: "Focus and concentration during revision: an evaluation of the Pomodoro technique."

Introduction/Background : Provides background and presents the key issues of your proposed research. Can include the following:

Rationale : Why is this research being undertaken, why is it interesting and worthwhile, also considering the existing literature?

Purpose : What do you intend to accomplish with your study, e.g. improve something or understand something?

Research question : The main, overarching question your study seeks to answer. E.g. "How can focus and concentration be improved during revision?"

Hypothesis : Quantitative studies can use hypotheses in alternative to research questions. E.g. "Taking regular breaks significantly increases the ability to memorise information."

Aim : The main result your study seeks to achieve. If you use a research question, the aim echoes that, but uses an infinitive. E.g. "The aim of this research is to investigate how can focus and concentration be improved during revision."

Objectives : The stepping stones to achieve your aim. E.g. "The objectives of this research are 1) to review the literature on study techniques; 2) to identify the factors that influence focus and concentration; 3) to undertake an experiment on the Pomodoro technique with student volunteers; 4) to issue recommendations on focus and concentration for revision."

Literature review : Overview of significant literature around the research topic, moving from general (background) to specific (your subject of study). Highlight what the literature says, and does not say, on the research topic, identifying a gap(s) that your research aims to fill.

Methods : Here you consider what methods you are planning to use for your research, and why you are thinking of them. What secondary sources (literature) are you going to consult? Are you going to use primary sources (e.g. data bases, statistics, interviews, questionnaires, experiments)? Are you going to focus on a case study? Is the research going to be qualitative or quantitative? Consider if your research will need ethical clearance.

Significance/Implications/Expected outcomes : In this section you reiterate what are you hoping to demonstrate. State how your research could contribute to debates in your particular subject area, perhaps filling a gap(s) in the existing works.

Plan of Work : You might be asked to present your timeline for completing the dissertation. The timeline can be presented using different formats such as bullet points, table, Gantt chart. Whichever format you use, your plan of work should be realistic and should demonstrate awareness of the various elements of the study such as literature research, empirical work, drafting, re-drafting, etc.

Outline : Here you include a provisional table of contents for your dissertation. The structure of the dissertation can be free or prescribed by the dissertation guidelines of your course, so check that up.

Reference List : The list should include the bibliographical information of all the sources you cited in the proposal, listed in alphabetical order.

Most of the elements mentioned above are explained in the tabs of this guide!

Literature-based dissertations in the humanities

A literature-based dissertation in the humanities, however, might be less rigidly structured and may look like this:

Short introduction including background information on your topic, why it is relevant and how it fits into the literature.
Main body which outlines how you will organise your chapters .
Conclusion which states what you hope your study will achieve.
Bibliography .

After Writing

Check your proposal!

Have you shown that your research idea is:

Ethical?

Relevant?

Feasible with the timeframe and resources available?

Have you:

Identified a clear research gap to focus on?

Stated why your study is important?

Selected a methodology that will enable you to gather the data you need?

Use the marking criteria for dissertation proposals provided by your department to check your work.

Locke, L.F., Spirduso, W.W. and Silverman, S.J. (2014). Proposals that Work: A Guide for Planning Dissertations and Grant Proposals . Sage.

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Last Updated: Aug 1, 2023 2:36 PM
URL: https://libguides.westminster.ac.uk/starting-your-dissertation

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Frequently asked questions

How long is a dissertation.

Dissertation word counts vary widely across different fields, institutions, and levels of education:

An undergraduate dissertation is typically 8,000–15,000 words
A master’s dissertation is typically 12,000–50,000 words
A PhD thesis is typically book-length: 70,000–100,000 words

However, none of these are strict guidelines – your word count may be lower or higher than the numbers stated here. Always check the guidelines provided by your university to determine how long your own dissertation should be.

Frequently asked questions: Knowledge Base

Methodology refers to the overarching strategy and rationale of your research. Developing your methodology involves studying the research methods used in your field and the theories or principles that underpin them, in order to choose the approach that best matches your objectives.

Methods are the specific tools and procedures you use to collect and analyse data (e.g. interviews, experiments , surveys , statistical tests ).

In a dissertation or scientific paper, the methodology chapter or methods section comes after the introduction and before the results , discussion and conclusion .

Depending on the length and type of document, you might also include a literature review or theoretical framework before the methodology.

Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.

Quantitative methods allow you to test a hypothesis by systematically collecting and analysing data, while qualitative methods allow you to explore ideas and experiences in depth.

Reliability and validity are both about how well a method measures something:

Reliability refers to the consistency of a measure (whether the results can be reproduced under the same conditions).
Validity refers to the accuracy of a measure (whether the results really do represent what they are supposed to measure).

If you are doing experimental research , you also have to consider the internal and external validity of your experiment.

A sample is a subset of individuals from a larger population. Sampling means selecting the group that you will actually collect data from in your research.

For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.

Statistical sampling allows you to test a hypothesis about the characteristics of a population. There are various sampling methods you can use to ensure that your sample is representative of the population as a whole.

There are several reasons to conduct a literature review at the beginning of a research project:

To familiarise yourself with the current state of knowledge on your topic
To ensure that you’re not just repeating what others have already done
To identify gaps in knowledge and unresolved problems that your research can address
To develop your theoretical framework and methodology
To provide an overview of the key findings and debates on the topic

Writing the literature review shows your reader how your work relates to existing research and what new insights it will contribute.

A literature review is a survey of scholarly sources (such as books, journal articles, and theses) related to a specific topic or research question .

It is often written as part of a dissertation , thesis, research paper , or proposal .

The literature review usually comes near the beginning of your dissertation . After the introduction , it grounds your research in a scholarly field and leads directly to your theoretical framework or methodology .

Harvard referencing uses an author–date system. Sources are cited by the author’s last name and the publication year in brackets. Each Harvard in-text citation corresponds to an entry in the alphabetised reference list at the end of the paper.

Vancouver referencing uses a numerical system. Sources are cited by a number in parentheses or superscript. Each number corresponds to a full reference at the end of the paper.

A Harvard in-text citation should appear in brackets every time you quote, paraphrase, or refer to information from a source.

The citation can appear immediately after the quotation or paraphrase, or at the end of the sentence. If you’re quoting, place the citation outside of the quotation marks but before any other punctuation like a comma or full stop.

In Harvard referencing, up to three author names are included in an in-text citation or reference list entry. When there are four or more authors, include only the first, followed by ‘ et al. ’

A bibliography should always contain every source you cited in your text. Sometimes a bibliography also contains other sources that you used in your research, but did not cite in the text.

MHRA doesn’t specify a rule about this, so check with your supervisor to find out exactly what should be included in your bibliography.

Footnote numbers should appear in superscript (e.g. 11 ). You can use the ‘Insert footnote’ button in Word to do this automatically; it’s in the ‘References’ tab at the top.

Footnotes always appear after the quote or paraphrase they relate to. MHRA generally recommends placing footnote numbers at the end of the sentence, immediately after any closing punctuation, like this. 12

In situations where this might be awkward or misleading, such as a long sentence containing multiple quotations, footnotes can also be placed at the end of a clause mid-sentence, like this; 13 note that they still come after any punctuation.

When a source has two or three authors, name all of them in your MHRA references . When there are four or more, use only the first name, followed by ‘and others’:

Note that in the bibliography, only the author listed first has their name inverted. The names of additional authors and those of translators or editors are written normally.

A citation should appear wherever you use information or ideas from a source, whether by quoting or paraphrasing its content.

In Vancouver style , you have some flexibility about where the citation number appears in the sentence – usually directly after mentioning the author’s name is best, but simply placing it at the end of the sentence is an acceptable alternative, as long as it’s clear what it relates to.

In Vancouver style , when you refer to a source with multiple authors in your text, you should only name the first author followed by ‘et al.’. This applies even when there are only two authors.

In your reference list, include up to six authors. For sources with seven or more authors, list the first six followed by ‘et al.’.

The words ‘ dissertation ’ and ‘thesis’ both refer to a large written research project undertaken to complete a degree, but they are used differently depending on the country:

In the UK, you write a dissertation at the end of a bachelor’s or master’s degree, and you write a thesis to complete a PhD.
In the US, it’s the other way around: you may write a thesis at the end of a bachelor’s or master’s degree, and you write a dissertation to complete a PhD.

The main difference is in terms of scale – a dissertation is usually much longer than the other essays you complete during your degree.

Another key difference is that you are given much more independence when working on a dissertation. You choose your own dissertation topic , and you have to conduct the research and write the dissertation yourself (with some assistance from your supervisor).

At the bachelor’s and master’s levels, the dissertation is usually the main focus of your final year. You might work on it (alongside other classes) for the entirety of the final year, or for the last six months. This includes formulating an idea, doing the research, and writing up.

A PhD thesis takes a longer time, as the thesis is the main focus of the degree. A PhD thesis might be being formulated and worked on for the whole four years of the degree program. The writing process alone can take around 18 months.

References should be included in your text whenever you use words, ideas, or information from a source. A source can be anything from a book or journal article to a website or YouTube video.

If you don’t acknowledge your sources, you can get in trouble for plagiarism .

Your university should tell you which referencing style to follow. If you’re unsure, check with a supervisor. Commonly used styles include:

Harvard referencing , the most commonly used style in UK universities.
MHRA , used in humanities subjects.
APA , used in the social sciences.
Vancouver , used in biomedicine.
OSCOLA , used in law.

Your university may have its own referencing style guide.

If you are allowed to choose which style to follow, we recommend Harvard referencing, as it is a straightforward and widely used style.

To avoid plagiarism , always include a reference when you use words, ideas or information from a source. This shows that you are not trying to pass the work of others off as your own.

You must also properly quote or paraphrase the source. If you’re not sure whether you’ve done this correctly, you can use the Scribbr Plagiarism Checker to find and correct any mistakes.

In Harvard style , when you quote directly from a source that includes page numbers, your in-text citation must include a page number. For example: (Smith, 2014, p. 33).

You can also include page numbers to point the reader towards a passage that you paraphrased . If you refer to the general ideas or findings of the source as a whole, you don’t need to include a page number.

When you want to use a quote but can’t access the original source, you can cite it indirectly. In the in-text citation , first mention the source you want to refer to, and then the source in which you found it. For example:

It’s advisable to avoid indirect citations wherever possible, because they suggest you don’t have full knowledge of the sources you’re citing. Only use an indirect citation if you can’t reasonably gain access to the original source.

In Harvard style referencing , to distinguish between two sources by the same author that were published in the same year, you add a different letter after the year for each source:

(Smith, 2019a)
(Smith, 2019b)

Add ‘a’ to the first one you cite, ‘b’ to the second, and so on. Do the same in your bibliography or reference list .

To create a hanging indent for your bibliography or reference list :

Highlight all the entries
Click on the arrow in the bottom-right corner of the ‘Paragraph’ tab in the top menu.
In the pop-up window, under ‘Special’ in the ‘Indentation’ section, use the drop-down menu to select ‘Hanging’.
Then close the window with ‘OK’.

Though the terms are sometimes used interchangeably, there is a difference in meaning:

A reference list only includes sources cited in the text – every entry corresponds to an in-text citation .
A bibliography also includes other sources which were consulted during the research but not cited.

It’s important to assess the reliability of information found online. Look for sources from established publications and institutions with expertise (e.g. peer-reviewed journals and government agencies).

The CRAAP test (currency, relevance, authority, accuracy, purpose) can aid you in assessing sources, as can our list of credible sources . You should generally avoid citing websites like Wikipedia that can be edited by anyone – instead, look for the original source of the information in the “References” section.

You can generally omit page numbers in your in-text citations of online sources which don’t have them. But when you quote or paraphrase a specific passage from a particularly long online source, it’s useful to find an alternate location marker.

For text-based sources, you can use paragraph numbers (e.g. ‘para. 4’) or headings (e.g. ‘under “Methodology”’). With video or audio sources, use a timestamp (e.g. ‘10:15’).

In the acknowledgements of your thesis or dissertation, you should first thank those who helped you academically or professionally, such as your supervisor, funders, and other academics.

Then you can include personal thanks to friends, family members, or anyone else who supported you during the process.

Yes, it’s important to thank your supervisor(s) in the acknowledgements section of your thesis or dissertation .

Even if you feel your supervisor did not contribute greatly to the final product, you still should acknowledge them, if only for a very brief thank you. If you do not include your supervisor, it may be seen as a snub.

The acknowledgements are generally included at the very beginning of your thesis or dissertation, directly after the title page and before the abstract .

In a thesis or dissertation, the acknowledgements should usually be no longer than one page. There is no minimum length.

You may acknowledge God in your thesis or dissertation acknowledgements , but be sure to follow academic convention by also thanking the relevant members of academia, as well as family, colleagues, and friends who helped you.

All level 1 and 2 headings should be included in your table of contents . That means the titles of your chapters and the main sections within them.

The contents should also include all appendices and the lists of tables and figures, if applicable, as well as your reference list .

Do not include the acknowledgements or abstract in the table of contents.

To automatically insert a table of contents in Microsoft Word, follow these steps:

Apply heading styles throughout the document.
In the references section in the ribbon, locate the Table of Contents group.
Click the arrow next to the Table of Contents icon and select Custom Table of Contents.
Select which levels of headings you would like to include in the table of contents.

Make sure to update your table of contents if you move text or change headings. To update, simply right click and select Update Field.

The table of contents in a thesis or dissertation always goes between your abstract and your introduction.

An abbreviation is a shortened version of an existing word, such as Dr for Doctor. In contrast, an acronym uses the first letter of each word to create a wholly new word, such as UNESCO (an acronym for the United Nations Educational, Scientific and Cultural Organization).

Your dissertation sometimes contains a list of abbreviations .

As a rule of thumb, write the explanation in full the first time you use an acronym or abbreviation. You can then proceed with the shortened version. However, if the abbreviation is very common (like UK or PC), then you can just use the abbreviated version straight away.

Be sure to add each abbreviation in your list of abbreviations !

If you only used a few abbreviations in your thesis or dissertation, you don’t necessarily need to include a list of abbreviations .

If your abbreviations are numerous, or if you think they won’t be known to your audience, it’s never a bad idea to add one. They can also improve readability, minimising confusion about abbreviations unfamiliar to your reader.

A list of abbreviations is a list of all the abbreviations you used in your thesis or dissertation. It should appear at the beginning of your document, immediately after your table of contents . It should always be in alphabetical order.

Fishbone diagrams have a few different names that are used interchangeably, including herringbone diagram, cause-and-effect diagram, and Ishikawa diagram.

These are all ways to refer to the same thing– a problem-solving approach that uses a fish-shaped diagram to model possible root causes of problems and troubleshoot solutions.

Fishbone diagrams (also called herringbone diagrams, cause-and-effect diagrams, and Ishikawa diagrams) are most popular in fields of quality management. They are also commonly used in nursing and healthcare, or as a brainstorming technique for students.

Some synonyms and near synonyms of among include:

In the company of
In the middle of
Surrounded by

Some synonyms and near synonyms of between include:

In the space separating
In the time separating

In spite of is a preposition used to mean ‘ regardless of ‘, ‘notwithstanding’, or ‘even though’.

It’s always used in a subordinate clause to contrast with the information given in the main clause of a sentence (e.g., ‘Amy continued to watch TV, in spite of the time’).

Despite is a preposition used to mean ‘ regardless of ‘, ‘notwithstanding’, or ‘even though’.

It’s used in a subordinate clause to contrast with information given in the main clause of a sentence (e.g., ‘Despite the stress, Joe loves his job’).

‘Log in’ is a phrasal verb meaning ‘connect to an electronic device, system, or app’. The preposition ‘to’ is often used directly after the verb; ‘in’ and ‘to’ should be written as two separate words (e.g., ‘ log in to the app to update privacy settings’).

‘Log into’ is sometimes used instead of ‘log in to’, but this is generally considered incorrect (as is ‘login to’).

Some synonyms and near synonyms of ensure include:

Make certain

Some synonyms and near synonyms of assure include:

Rest assured is an expression meaning ‘you can be certain’ (e.g., ‘Rest assured, I will find your cat’). ‘Assured’ is the adjectival form of the verb assure , meaning ‘convince’ or ‘persuade’.

Some synonyms and near synonyms for council include:

There are numerous synonyms and near synonyms for the two meanings of counsel :

AI writing tools can be used to perform a variety of tasks.

Generative AI writing tools (like ChatGPT ) generate text based on human inputs and can be used for interactive learning, to provide feedback, or to generate research questions or outlines.

These tools can also be used to paraphrase or summarise text or to identify grammar and punctuation mistakes. Y ou can also use Scribbr’s free paraphrasing tool , summarising tool , and grammar checker , which are designed specifically for these purposes.

Using AI writing tools (like ChatGPT ) to write your essay is usually considered plagiarism and may result in penalisation, unless it is allowed by your university. Text generated by AI tools is based on existing texts and therefore cannot provide unique insights. Furthermore, these outputs sometimes contain factual inaccuracies or grammar mistakes.

However, AI writing tools can be used effectively as a source of feedback and inspiration for your writing (e.g., to generate research questions ). Other AI tools, like grammar checkers, can help identify and eliminate grammar and punctuation mistakes to enhance your writing.

The Scribbr Knowledge Base is a collection of free resources to help you succeed in academic research, writing, and citation. Every week, we publish helpful step-by-step guides, clear examples, simple templates, engaging videos, and more.

The Knowledge Base is for students at all levels. Whether you’re writing your first essay, working on your bachelor’s or master’s dissertation, or getting to grips with your PhD research, we’ve got you covered.

As well as the Knowledge Base, Scribbr provides many other tools and services to support you in academic writing and citation:

Create your citations and manage your reference list with our free Reference Generators in APA and MLA style.
Scan your paper for in-text citation errors and inconsistencies with our innovative APA Citation Checker .
Avoid accidental plagiarism with our reliable Plagiarism Checker .
Polish your writing and get feedback on structure and clarity with our Proofreading & Editing services .

Yes! We’re happy for educators to use our content, and we’ve even adapted some of our articles into ready-made lecture slides .

You are free to display, distribute, and adapt Scribbr materials in your classes or upload them in private learning environments like Blackboard. We only ask that you credit Scribbr for any content you use.

We’re always striving to improve the Knowledge Base. If you have an idea for a topic we should cover, or you notice a mistake in any of our articles, let us know by emailing [email protected] .

The consequences of plagiarism vary depending on the type of plagiarism and the context in which it occurs. For example, submitting a whole paper by someone else will have the most severe consequences, while accidental citation errors are considered less serious.

If you’re a student, then you might fail the course, be suspended or expelled, or be obligated to attend a workshop on plagiarism. It depends on whether it’s your first offence or you’ve done it before.

As an academic or professional, plagiarising seriously damages your reputation. You might also lose your research funding or your job, and you could even face legal consequences for copyright infringement.

Paraphrasing without crediting the original author is a form of plagiarism , because you’re presenting someone else’s ideas as if they were your own.

However, paraphrasing is not plagiarism if you correctly reference the source . This means including an in-text referencing and a full reference , formatted according to your required citation style (e.g., Harvard , Vancouver ).

As well as referencing your source, make sure that any paraphrased text is completely rewritten in your own words.

Accidental plagiarism is one of the most common examples of plagiarism . Perhaps you forgot to cite a source, or paraphrased something a bit too closely. Maybe you can’t remember where you got an idea from, and aren’t totally sure if it’s original or not.

These all count as plagiarism, even though you didn’t do it on purpose. When in doubt, make sure you’re citing your sources . Also consider running your work through a plagiarism checker tool prior to submission, which work by using advanced database software to scan for matches between your text and existing texts.

Scribbr’s Plagiarism Checker takes less than 10 minutes and can help you turn in your paper with confidence.

The accuracy depends on the plagiarism checker you use. Per our in-depth research , Scribbr is the most accurate plagiarism checker. Many free plagiarism checkers fail to detect all plagiarism or falsely flag text as plagiarism.

Plagiarism checkers work by using advanced database software to scan for matches between your text and existing texts. Their accuracy is determined by two factors: the algorithm (which recognises the plagiarism) and the size of the database (with which your document is compared).

To avoid plagiarism when summarising an article or other source, follow these two rules:

Write the summary entirely in your own words by paraphrasing the author’s ideas.
Reference the source with an in-text citation and a full reference so your reader can easily find the original text.

Plagiarism can be detected by your professor or readers if the tone, formatting, or style of your text is different in different parts of your paper, or if they’re familiar with the plagiarised source.

Many universities also use plagiarism detection software like Turnitin’s, which compares your text to a large database of other sources, flagging any similarities that come up.

It can be easier than you think to commit plagiarism by accident. Consider using a plagiarism checker prior to submitting your essay to ensure you haven’t missed any citations.

Some examples of plagiarism include:

Copying and pasting a Wikipedia article into the body of an assignment
Quoting a source without including a citation
Not paraphrasing a source properly (e.g. maintaining wording too close to the original)
Forgetting to cite the source of an idea

The most surefire way to avoid plagiarism is to always cite your sources . When in doubt, cite!

Global plagiarism means taking an entire work written by someone else and passing it off as your own. This can include getting someone else to write an essay or assignment for you, or submitting a text you found online as your own work.

Global plagiarism is one of the most serious types of plagiarism because it involves deliberately and directly lying about the authorship of a work. It can have severe consequences for students and professionals alike.

Verbatim plagiarism means copying text from a source and pasting it directly into your own document without giving proper credit.

If the structure and the majority of the words are the same as in the original source, then you are committing verbatim plagiarism. This is the case even if you delete a few words or replace them with synonyms.

If you want to use an author’s exact words, you need to quote the original source by putting the copied text in quotation marks and including an in-text citation .

Patchwork plagiarism , also called mosaic plagiarism, means copying phrases, passages, or ideas from various existing sources and combining them to create a new text. This includes slightly rephrasing some of the content, while keeping many of the same words and the same structure as the original.

While this type of plagiarism is more insidious than simply copying and pasting directly from a source, plagiarism checkers like Turnitin’s can still easily detect it.

To avoid plagiarism in any form, remember to reference your sources .

Yes, reusing your own work without citation is considered self-plagiarism . This can range from resubmitting an entire assignment to reusing passages or data from something you’ve handed in previously.

Self-plagiarism often has the same consequences as other types of plagiarism . If you want to reuse content you wrote in the past, make sure to check your university’s policy or consult your professor.

If you are reusing content or data you used in a previous assignment, make sure to cite yourself. You can cite yourself the same way you would cite any other source: simply follow the directions for the citation style you are using.

Keep in mind that reusing prior content can be considered self-plagiarism , so make sure you ask your instructor or consult your university’s handbook prior to doing so.

Most institutions have an internal database of previously submitted student assignments. Turnitin can check for self-plagiarism by comparing your paper against this database. If you’ve reused parts of an assignment you already submitted, it will flag any similarities as potential plagiarism.

Online plagiarism checkers don’t have access to your institution’s database, so they can’t detect self-plagiarism of unpublished work. If you’re worried about accidentally self-plagiarising, you can use Scribbr’s Self-Plagiarism Checker to upload your unpublished documents and check them for similarities.

Plagiarism has serious consequences and can be illegal in certain scenarios.

While most of the time plagiarism in an undergraduate setting is not illegal, plagiarism or self-plagiarism in a professional academic setting can lead to legal action, including copyright infringement and fraud. Many scholarly journals do not allow you to submit the same work to more than one journal, and if you do not credit a coauthor, you could be legally defrauding them.

Even if you aren’t breaking the law, plagiarism can seriously impact your academic career. While the exact consequences of plagiarism vary by institution and severity, common consequences include a lower grade, automatically failing a course, academic suspension or probation, and even expulsion.

Self-plagiarism means recycling work that you’ve previously published or submitted as an assignment. It’s considered academic dishonesty to present something as brand new when you’ve already gotten credit and perhaps feedback for it in the past.

If you want to refer to ideas or data from previous work, be sure to cite yourself.

Academic integrity means being honest, ethical, and thorough in your academic work. To maintain academic integrity, you should avoid misleading your readers about any part of your research and refrain from offences like plagiarism and contract cheating, which are examples of academic misconduct.

Academic dishonesty refers to deceitful or misleading behavior in an academic setting. Academic dishonesty can occur intentionally or unintentionally, and it varies in severity.

It can encompass paying for a pre-written essay, cheating on an exam, or committing plagiarism . It can also include helping others cheat, copying a friend’s homework answers, or even pretending to be sick to miss an exam.

Academic dishonesty doesn’t just occur in a classroom setting, but also in research and other academic-adjacent fields.

Consequences of academic dishonesty depend on the severity of the offence and your institution’s policy. They can range from a warning for a first offence to a failing grade in a course to expulsion from your university.

For those in certain fields, such as nursing, engineering, or lab sciences, not learning fundamentals properly can directly impact the health and safety of others. For those working in academia or research, academic dishonesty impacts your professional reputation, leading others to doubt your future work.

Academic dishonesty can be intentional or unintentional, ranging from something as simple as claiming to have read something you didn’t to copying your neighbour’s answers on an exam.

You can commit academic dishonesty with the best of intentions, such as helping a friend cheat on a paper. Severe academic dishonesty can include buying a pre-written essay or the answers to a multiple-choice test, or falsifying a medical emergency to avoid taking a final exam.

Plagiarism means presenting someone else’s work as your own without giving proper credit to the original author. In academic writing, plagiarism involves using words, ideas, or information from a source without including a citation .

Plagiarism can have serious consequences , even when it’s done accidentally. To avoid plagiarism, it’s important to keep track of your sources and cite them correctly.

Common knowledge does not need to be cited. However, you should be extra careful when deciding what counts as common knowledge.

Common knowledge encompasses information that the average educated reader would accept as true without needing the extra validation of a source or citation.

Common knowledge should be widely known, undisputed, and easily verified. When in doubt, always cite your sources.

Most online plagiarism checkers only have access to public databases, whose software doesn’t allow you to compare two documents for plagiarism.

However, in addition to our Plagiarism Checker , Scribbr also offers an Self-Plagiarism Checker . This is an add-on tool that lets you compare your paper with unpublished or private documents. This way you can rest assured that you haven’t unintentionally plagiarised or self-plagiarised .

Compare two sources for plagiarism

The research methods you use depend on the type of data you need to answer your research question .

If you want to measure something or test a hypothesis , use quantitative methods . If you want to explore ideas, thoughts, and meanings, use qualitative methods .
If you want to analyse a large amount of readily available data, use secondary data. If you want data specific to your purposes with control over how they are generated, collect primary data.
If you want to establish cause-and-effect relationships between variables , use experimental methods. If you want to understand the characteristics of a research subject, use descriptive methods.

Methodology refers to the overarching strategy and rationale of your research project . It involves studying the methods used in your field and the theories or principles behind them, in order to develop an approach that matches your objectives.

Methods are the specific tools and procedures you use to collect and analyse data (e.g. experiments, surveys , and statistical tests ).

In shorter scientific papers, where the aim is to report the findings of a specific study, you might simply describe what you did in a methods section .

In a longer or more complex research project, such as a thesis or dissertation , you will probably include a methodology section , where you explain your approach to answering the research questions and cite relevant sources to support your choice of methods.

In mixed methods research , you use both qualitative and quantitative data collection and analysis methods to answer your research question .

Data collection is the systematic process by which observations or measurements are gathered in research. It is used in many different contexts by academics, governments, businesses, and other organisations.

There are various approaches to qualitative data analysis , but they all share five steps in common:

Prepare and organise your data.
Review and explore your data.
Develop a data coding system.
Assign codes to the data.
Identify recurring themes.

The specifics of each step depend on the focus of the analysis. Some common approaches include textual analysis , thematic analysis , and discourse analysis .

There are five common approaches to qualitative research :

Grounded theory involves collecting data in order to develop new theories.
Ethnography involves immersing yourself in a group or organisation to understand its culture.
Narrative research involves interpreting stories to understand how people make sense of their experiences and perceptions.
Phenomenological research involves investigating phenomena through people’s lived experiences.
Action research links theory and practice in several cycles to drive innovative changes.

Hypothesis testing is a formal procedure for investigating our ideas about the world using statistics. It is used by scientists to test specific predictions, called hypotheses , by calculating how likely it is that a pattern or relationship between variables could have arisen by chance.

Operationalisation means turning abstract conceptual ideas into measurable observations.

For example, the concept of social anxiety isn’t directly observable, but it can be operationally defined in terms of self-rating scores, behavioural avoidance of crowded places, or physical anxiety symptoms in social situations.

Before collecting data , it’s important to consider how you will operationalise the variables that you want to measure.

Triangulation in research means using multiple datasets, methods, theories and/or investigators to address a research question. It’s a research strategy that can help you enhance the validity and credibility of your findings.

Triangulation is mainly used in qualitative research , but it’s also commonly applied in quantitative research . Mixed methods research always uses triangulation.

These are four of the most common mixed methods designs :

Convergent parallel: Quantitative and qualitative data are collected at the same time and analysed separately. After both analyses are complete, compare your results to draw overall conclusions.
Embedded: Quantitative and qualitative data are collected at the same time, but within a larger quantitative or qualitative design. One type of data is secondary to the other.
Explanatory sequential: Quantitative data is collected and analysed first, followed by qualitative data. You can use this design if you think your qualitative data will explain and contextualise your quantitative findings.
Exploratory sequential: Qualitative data is collected and analysed first, followed by quantitative data. You can use this design if you think the quantitative data will confirm or validate your qualitative findings.

An observational study could be a good fit for your research if your research question is based on things you observe. If you have ethical, logistical, or practical concerns that make an experimental design challenging, consider an observational study. Remember that in an observational study, it is critical that there be no interference or manipulation of the research subjects. Since it’s not an experiment, there are no control or treatment groups either.

The key difference between observational studies and experiments is that, done correctly, an observational study will never influence the responses or behaviours of participants. Experimental designs will have a treatment condition applied to at least a portion of participants.

Exploratory research explores the main aspects of a new or barely researched question.

Explanatory research explains the causes and effects of an already widely researched question.

Experimental designs are a set of procedures that you plan in order to examine the relationship between variables that interest you.

To design a successful experiment, first identify:

A testable hypothesis
One or more independent variables that you will manipulate
One or more dependent variables that you will measure

When designing the experiment, first decide:

How your variable(s) will be manipulated
How you will control for any potential confounding or lurking variables
How many subjects you will include
How you will assign treatments to your subjects

There are four main types of triangulation :

Data triangulation : Using data from different times, spaces, and people
Investigator triangulation : Involving multiple researchers in collecting or analysing data
Theory triangulation : Using varying theoretical perspectives in your research
Methodological triangulation : Using different methodologies to approach the same topic

Triangulation can help:

Reduce bias that comes from using a single method, theory, or investigator
Enhance validity by approaching the same topic with different tools
Establish credibility by giving you a complete picture of the research problem

But triangulation can also pose problems:

It’s time-consuming and labour-intensive, often involving an interdisciplinary team.
Your results may be inconsistent or even contradictory.

A confounding variable , also called a confounder or confounding factor, is a third variable in a study examining a potential cause-and-effect relationship.

A confounding variable is related to both the supposed cause and the supposed effect of the study. It can be difficult to separate the true effect of the independent variable from the effect of the confounding variable.

In your research design , it’s important to identify potential confounding variables and plan how you will reduce their impact.

In a between-subjects design , every participant experiences only one condition, and researchers assess group differences between participants in various conditions.

In a within-subjects design , each participant experiences all conditions, and researchers test the same participants repeatedly for differences between conditions.

The word ‘between’ means that you’re comparing different conditions between groups, while the word ‘within’ means you’re comparing different conditions within the same group.

A quasi-experiment is a type of research design that attempts to establish a cause-and-effect relationship. The main difference between this and a true experiment is that the groups are not randomly assigned.

In experimental research, random assignment is a way of placing participants from your sample into different groups using randomisation. With this method, every member of the sample has a known or equal chance of being placed in a control group or an experimental group.

Quasi-experimental design is most useful in situations where it would be unethical or impractical to run a true experiment .

Quasi-experiments have lower internal validity than true experiments, but they often have higher external validity as they can use real-world interventions instead of artificial laboratory settings.

Within-subjects designs have many potential threats to internal validity , but they are also very statistically powerful .

Advantages:

Only requires small samples
Statistically powerful
Removes the effects of individual differences on the outcomes

Disadvantages:

Internal validity threats reduce the likelihood of establishing a direct relationship between variables
Time-related effects, such as growth, can influence the outcomes
Carryover effects mean that the specific order of different treatments affect the outcomes

Yes. Between-subjects and within-subjects designs can be combined in a single study when you have two or more independent variables (a factorial design). In a mixed factorial design, one variable is altered between subjects and another is altered within subjects.

In a factorial design, multiple independent variables are tested.

If you test two variables, each level of one independent variable is combined with each level of the other independent variable to create different conditions.

While a between-subjects design has fewer threats to internal validity , it also requires more participants for high statistical power than a within-subjects design .

Prevents carryover effects of learning and fatigue.
Shorter study duration.
Needs larger samples for high power.
Uses more resources to recruit participants, administer sessions, cover costs, etc.
Individual differences may be an alternative explanation for results.

Samples are used to make inferences about populations . Samples are easier to collect data from because they are practical, cost-effective, convenient, and manageable.

Probability sampling means that every member of the target population has a known chance of being included in the sample.

Probability sampling methods include simple random sampling , systematic sampling , stratified sampling , and cluster sampling .

In non-probability sampling , the sample is selected based on non-random criteria, and not every member of the population has a chance of being included.

Common non-probability sampling methods include convenience sampling , voluntary response sampling, purposive sampling , snowball sampling , and quota sampling .

In multistage sampling , or multistage cluster sampling, you draw a sample from a population using smaller and smaller groups at each stage.

This method is often used to collect data from a large, geographically spread group of people in national surveys, for example. You take advantage of hierarchical groupings (e.g., from county to city to neighbourhood) to create a sample that’s less expensive and time-consuming to collect data from.

Sampling bias occurs when some members of a population are systematically more likely to be selected in a sample than others.

Simple random sampling is a type of probability sampling in which the researcher randomly selects a subset of participants from a population . Each member of the population has an equal chance of being selected. Data are then collected from as large a percentage as possible of this random subset.

The American Community Survey is an example of simple random sampling . In order to collect detailed data on the population of the US, the Census Bureau officials randomly select 3.5 million households per year and use a variety of methods to convince them to fill out the survey.

If properly implemented, simple random sampling is usually the best sampling method for ensuring both internal and external validity . However, it can sometimes be impractical and expensive to implement, depending on the size of the population to be studied,

If you have a list of every member of the population and the ability to reach whichever members are selected, you can use simple random sampling.

Cluster sampling is more time- and cost-efficient than other probability sampling methods , particularly when it comes to large samples spread across a wide geographical area.

However, it provides less statistical certainty than other methods, such as simple random sampling , because it is difficult to ensure that your clusters properly represent the population as a whole.

There are three types of cluster sampling : single-stage, double-stage and multi-stage clustering. In all three types, you first divide the population into clusters, then randomly select clusters for use in your sample.

In single-stage sampling , you collect data from every unit within the selected clusters.
In double-stage sampling , you select a random sample of units from within the clusters.
In multi-stage sampling , you repeat the procedure of randomly sampling elements from within the clusters until you have reached a manageable sample.

Cluster sampling is a probability sampling method in which you divide a population into clusters, such as districts or schools, and then randomly select some of these clusters as your sample.

The clusters should ideally each be mini-representations of the population as a whole.

In multistage sampling , you can use probability or non-probability sampling methods.

For a probability sample, you have to probability sampling at every stage. You can mix it up by using simple random sampling , systematic sampling , or stratified sampling to select units at different stages, depending on what is applicable and relevant to your study.

Multistage sampling can simplify data collection when you have large, geographically spread samples, and you can obtain a probability sample without a complete sampling frame.

But multistage sampling may not lead to a representative sample, and larger samples are needed for multistage samples to achieve the statistical properties of simple random samples .

In stratified sampling , researchers divide subjects into subgroups called strata based on characteristics that they share (e.g., race, gender, educational attainment).

Once divided, each subgroup is randomly sampled using another probability sampling method .

You should use stratified sampling when your sample can be divided into mutually exclusive and exhaustive subgroups that you believe will take on different mean values for the variable that you’re studying.

Using stratified sampling will allow you to obtain more precise (with lower variance ) statistical estimates of whatever you are trying to measure.

For example, say you want to investigate how income differs based on educational attainment, but you know that this relationship can vary based on race. Using stratified sampling, you can ensure you obtain a large enough sample from each racial group, allowing you to draw more precise conclusions.

Yes, you can create a stratified sample using multiple characteristics, but you must ensure that every participant in your study belongs to one and only one subgroup. In this case, you multiply the numbers of subgroups for each characteristic to get the total number of groups.

For example, if you were stratifying by location with three subgroups (urban, rural, or suburban) and marital status with five subgroups (single, divorced, widowed, married, or partnered), you would have 3 × 5 = 15 subgroups.

There are three key steps in systematic sampling :

Define and list your population , ensuring that it is not ordered in a cyclical or periodic order.
Decide on your sample size and calculate your interval, k , by dividing your population by your target sample size.
Choose every k th member of the population as your sample.

Systematic sampling is a probability sampling method where researchers select members of the population at a regular interval – for example, by selecting every 15th person on a list of the population. If the population is in a random order, this can imitate the benefits of simple random sampling .

Populations are used when a research question requires data from every member of the population. This is usually only feasible when the population is small and easily accessible.

A statistic refers to measures about the sample , while a parameter refers to measures about the population .

A sampling error is the difference between a population parameter and a sample statistic .

There are eight threats to internal validity : history, maturation, instrumentation, testing, selection bias , regression to the mean, social interaction, and attrition .

Internal validity is the extent to which you can be confident that a cause-and-effect relationship established in a study cannot be explained by other factors.

Attrition bias is a threat to internal validity . In experiments, differential rates of attrition between treatment and control groups can skew results.

This bias can affect the relationship between your independent and dependent variables . It can make variables appear to be correlated when they are not, or vice versa.

The external validity of a study is the extent to which you can generalise your findings to different groups of people, situations, and measures.

The two types of external validity are population validity (whether you can generalise to other groups of people) and ecological validity (whether you can generalise to other situations and settings).

There are seven threats to external validity : selection bias , history, experimenter effect, Hawthorne effect , testing effect, aptitude-treatment, and situation effect.

Attrition bias can skew your sample so that your final sample differs significantly from your original sample. Your sample is biased because some groups from your population are underrepresented.

With a biased final sample, you may not be able to generalise your findings to the original population that you sampled from, so your external validity is compromised.

Construct validity is about how well a test measures the concept it was designed to evaluate. It’s one of four types of measurement validity , which includes construct validity, face validity , and criterion validity.

There are two subtypes of construct validity.

Convergent validity : The extent to which your measure corresponds to measures of related constructs
Discriminant validity: The extent to which your measure is unrelated or negatively related to measures of distinct constructs

When designing or evaluating a measure, construct validity helps you ensure you’re actually measuring the construct you’re interested in. If you don’t have construct validity, you may inadvertently measure unrelated or distinct constructs and lose precision in your research.

Construct validity is often considered the overarching type of measurement validity , because it covers all of the other types. You need to have face validity , content validity, and criterion validity to achieve construct validity.

Statistical analyses are often applied to test validity with data from your measures. You test convergent validity and discriminant validity with correlations to see if results from your test are positively or negatively related to those of other established tests.

You can also use regression analyses to assess whether your measure is actually predictive of outcomes that you expect it to predict theoretically. A regression analysis that supports your expectations strengthens your claim of construct validity .

Face validity is about whether a test appears to measure what it’s supposed to measure. This type of validity is concerned with whether a measure seems relevant and appropriate for what it’s assessing only on the surface.

Face validity is important because it’s a simple first step to measuring the overall validity of a test or technique. It’s a relatively intuitive, quick, and easy way to start checking whether a new measure seems useful at first glance.

Good face validity means that anyone who reviews your measure says that it seems to be measuring what it’s supposed to. With poor face validity, someone reviewing your measure may be left confused about what you’re measuring and why you’re using this method.

It’s often best to ask a variety of people to review your measurements. You can ask experts, such as other researchers, or laypeople, such as potential participants, to judge the face validity of tests.

While experts have a deep understanding of research methods , the people you’re studying can provide you with valuable insights you may have missed otherwise.

There are many different types of inductive reasoning that people use formally or informally.

Here are a few common types:

Inductive generalisation : You use observations about a sample to come to a conclusion about the population it came from.
Statistical generalisation: You use specific numbers about samples to make statements about populations.
Causal reasoning: You make cause-and-effect links between different things.
Sign reasoning: You make a conclusion about a correlational relationship between different things.
Analogical reasoning: You make a conclusion about something based on its similarities to something else.

Inductive reasoning is a bottom-up approach, while deductive reasoning is top-down.

Inductive reasoning takes you from the specific to the general, while in deductive reasoning, you make inferences by going from general premises to specific conclusions.

In inductive research , you start by making observations or gathering data. Then, you take a broad scan of your data and search for patterns. Finally, you make general conclusions that you might incorporate into theories.

Inductive reasoning is a method of drawing conclusions by going from the specific to the general. It’s usually contrasted with deductive reasoning, where you proceed from general information to specific conclusions.

Inductive reasoning is also called inductive logic or bottom-up reasoning.

Deductive reasoning is a logical approach where you progress from general ideas to specific conclusions. It’s often contrasted with inductive reasoning , where you start with specific observations and form general conclusions.

Deductive reasoning is also called deductive logic.

Deductive reasoning is commonly used in scientific research, and it’s especially associated with quantitative research .

In research, you might have come across something called the hypothetico-deductive method . It’s the scientific method of testing hypotheses to check whether your predictions are substantiated by real-world data.

A dependent variable is what changes as a result of the independent variable manipulation in experiments . It’s what you’re interested in measuring, and it ‘depends’ on your independent variable.

In statistics, dependent variables are also called:

Response variables (they respond to a change in another variable)
Outcome variables (they represent the outcome you want to measure)
Left-hand-side variables (they appear on the left-hand side of a regression equation)

An independent variable is the variable you manipulate, control, or vary in an experimental study to explore its effects. It’s called ‘independent’ because it’s not influenced by any other variables in the study.

Independent variables are also called:

Explanatory variables (they explain an event or outcome)
Predictor variables (they can be used to predict the value of a dependent variable)
Right-hand-side variables (they appear on the right-hand side of a regression equation)

A correlation is usually tested for two variables at a time, but you can test correlations between three or more variables.

On graphs, the explanatory variable is conventionally placed on the x -axis, while the response variable is placed on the y -axis.

If you have quantitative variables , use a scatterplot or a line graph.
If your response variable is categorical, use a scatterplot or a line graph.
If your explanatory variable is categorical, use a bar graph.

The term ‘ explanatory variable ‘ is sometimes preferred over ‘ independent variable ‘ because, in real-world contexts, independent variables are often influenced by other variables. This means they aren’t totally independent.

Multiple independent variables may also be correlated with each other, so ‘explanatory variables’ is a more appropriate term.

The difference between explanatory and response variables is simple:

An explanatory variable is the expected cause, and it explains the results.
A response variable is the expected effect, and it responds to other variables.

There are 4 main types of extraneous variables :

Demand characteristics : Environmental cues that encourage participants to conform to researchers’ expectations
Experimenter effects : Unintentional actions by researchers that influence study outcomes
Situational variables : Eenvironmental variables that alter participants’ behaviours
Participant variables : Any characteristic or aspect of a participant’s background that could affect study results

An extraneous variable is any variable that you’re not investigating that can potentially affect the dependent variable of your research study.

A confounding variable is a type of extraneous variable that not only affects the dependent variable, but is also related to the independent variable.

‘Controlling for a variable’ means measuring extraneous variables and accounting for them statistically to remove their effects on other variables.

Researchers often model control variable data along with independent and dependent variable data in regression analyses and ANCOVAs . That way, you can isolate the control variable’s effects from the relationship between the variables of interest.

Control variables help you establish a correlational or causal relationship between variables by enhancing internal validity .

If you don’t control relevant extraneous variables , they may influence the outcomes of your study, and you may not be able to demonstrate that your results are really an effect of your independent variable .

A control variable is any variable that’s held constant in a research study. It’s not a variable of interest in the study, but it’s controlled because it could influence the outcomes.

In statistics, ordinal and nominal variables are both considered categorical variables .

Even though ordinal data can sometimes be numerical, not all mathematical operations can be performed on them.

In scientific research, concepts are the abstract ideas or phenomena that are being studied (e.g., educational achievement). Variables are properties or characteristics of the concept (e.g., performance at school), while indicators are ways of measuring or quantifying variables (e.g., yearly grade reports).

The process of turning abstract concepts into measurable variables and indicators is called operationalisation .

There are several methods you can use to decrease the impact of confounding variables on your research: restriction, matching, statistical control, and randomisation.

In restriction , you restrict your sample by only including certain subjects that have the same values of potential confounding variables.

In matching , you match each of the subjects in your treatment group with a counterpart in the comparison group. The matched subjects have the same values on any potential confounding variables, and only differ in the independent variable .

In statistical control , you include potential confounders as variables in your regression .

In randomisation , you randomly assign the treatment (or independent variable) in your study to a sufficiently large number of subjects, which allows you to control for all potential confounding variables.

A confounding variable is closely related to both the independent and dependent variables in a study. An independent variable represents the supposed cause , while the dependent variable is the supposed effect . A confounding variable is a third variable that influences both the independent and dependent variables.

Failing to account for confounding variables can cause you to wrongly estimate the relationship between your independent and dependent variables.

To ensure the internal validity of your research, you must consider the impact of confounding variables. If you fail to account for them, you might over- or underestimate the causal relationship between your independent and dependent variables , or even find a causal relationship where none exists.

Yes, but including more than one of either type requires multiple research questions .

For example, if you are interested in the effect of a diet on health, you can use multiple measures of health: blood sugar, blood pressure, weight, pulse, and many more. Each of these is its own dependent variable with its own research question.

You could also choose to look at the effect of exercise levels as well as diet, or even the additional effect of the two combined. Each of these is a separate independent variable .

To ensure the internal validity of an experiment , you should only change one independent variable at a time.

No. The value of a dependent variable depends on an independent variable, so a variable cannot be both independent and dependent at the same time. It must be either the cause or the effect, not both.

You want to find out how blood sugar levels are affected by drinking diet cola and regular cola, so you conduct an experiment .

The type of cola – diet or regular – is the independent variable .
The level of blood sugar that you measure is the dependent variable – it changes depending on the type of cola.

Determining cause and effect is one of the most important parts of scientific research. It’s essential to know which is the cause – the independent variable – and which is the effect – the dependent variable.

Quantitative variables are any variables where the data represent amounts (e.g. height, weight, or age).

Categorical variables are any variables where the data represent groups. This includes rankings (e.g. finishing places in a race), classifications (e.g. brands of cereal), and binary outcomes (e.g. coin flips).

You need to know what type of variables you are working with to choose the right statistical test for your data and interpret your results .

Discrete and continuous variables are two types of quantitative variables :

Discrete variables represent counts (e.g., the number of objects in a collection).
Continuous variables represent measurable amounts (e.g., water volume or weight).

You can think of independent and dependent variables in terms of cause and effect: an independent variable is the variable you think is the cause , while a dependent variable is the effect .

In an experiment, you manipulate the independent variable and measure the outcome in the dependent variable. For example, in an experiment about the effect of nutrients on crop growth:

The independent variable is the amount of nutrients added to the crop field.
The dependent variable is the biomass of the crops at harvest time.

Defining your variables, and deciding how you will manipulate and measure them, is an important part of experimental design .

Including mediators and moderators in your research helps you go beyond studying a simple relationship between two variables for a fuller picture of the real world. They are important to consider when studying complex correlational or causal relationships.

Mediators are part of the causal pathway of an effect, and they tell you how or why an effect takes place. Moderators usually help you judge the external validity of your study by identifying the limitations of when the relationship between variables holds.

If something is a mediating variable :

It’s caused by the independent variable
It influences the dependent variable
When it’s taken into account, the statistical correlation between the independent and dependent variables is higher than when it isn’t considered

A confounder is a third variable that affects variables of interest and makes them seem related when they are not. In contrast, a mediator is the mechanism of a relationship between two variables: it explains the process by which they are related.

A mediator variable explains the process through which two variables are related, while a moderator variable affects the strength and direction of that relationship.

When conducting research, collecting original data has significant advantages:

You can tailor data collection to your specific research aims (e.g., understanding the needs of your consumers or user testing your website).
You can control and standardise the process for high reliability and validity (e.g., choosing appropriate measurements and sampling methods ).

However, there are also some drawbacks: data collection can be time-consuming, labour-intensive, and expensive. In some cases, it’s more efficient to use secondary data that has already been collected by someone else, but the data might be less reliable.

A structured interview is a data collection method that relies on asking questions in a set order to collect data on a topic. They are often quantitative in nature. Structured interviews are best used when:

You already have a very clear understanding of your topic. Perhaps significant research has already been conducted, or you have done some prior research yourself, but you already possess a baseline for designing strong structured questions.
You are constrained in terms of time or resources and need to analyse your data quickly and efficiently
Your research question depends on strong parity between participants, with environmental conditions held constant

More flexible interview options include semi-structured interviews , unstructured interviews , and focus groups .

The interviewer effect is a type of bias that emerges when a characteristic of an interviewer (race, age, gender identity, etc.) influences the responses given by the interviewee.

There is a risk of an interviewer effect in all types of interviews , but it can be mitigated by writing really high-quality interview questions.

A semi-structured interview is a blend of structured and unstructured types of interviews. Semi-structured interviews are best used when:

You have prior interview experience. Spontaneous questions are deceptively challenging, and it’s easy to accidentally ask a leading question or make a participant uncomfortable.
Your research question is exploratory in nature. Participant answers can guide future research questions and help you develop a more robust knowledge base for future research.

An unstructured interview is the most flexible type of interview, but it is not always the best fit for your research topic.

Unstructured interviews are best used when:

You are an experienced interviewer and have a very strong background in your research topic, since it is challenging to ask spontaneous, colloquial questions
Your research question is exploratory in nature. While you may have developed hypotheses, you are open to discovering new or shifting viewpoints through the interview process.
You are seeking descriptive data, and are ready to ask questions that will deepen and contextualise your initial thoughts and hypotheses
Your research depends on forming connections with your participants and making them feel comfortable revealing deeper emotions, lived experiences, or thoughts

The four most common types of interviews are:

Structured interviews : The questions are predetermined in both topic and order.
Semi-structured interviews : A few questions are predetermined, but other questions aren’t planned.
Unstructured interviews : None of the questions are predetermined.
Focus group interviews : The questions are presented to a group instead of one individual.

A focus group is a research method that brings together a small group of people to answer questions in a moderated setting. The group is chosen due to predefined demographic traits, and the questions are designed to shed light on a topic of interest. It is one of four types of interviews .

Social desirability bias is the tendency for interview participants to give responses that will be viewed favourably by the interviewer or other participants. It occurs in all types of interviews and surveys , but is most common in semi-structured interviews , unstructured interviews , and focus groups .

Social desirability bias can be mitigated by ensuring participants feel at ease and comfortable sharing their views. Make sure to pay attention to your own body language and any physical or verbal cues, such as nodding or widening your eyes.

This type of bias in research can also occur in observations if the participants know they’re being observed. They might alter their behaviour accordingly.

As a rule of thumb, questions related to thoughts, beliefs, and feelings work well in focus groups . Take your time formulating strong questions, paying special attention to phrasing. Be careful to avoid leading questions , which can bias your responses.

Overall, your focus group questions should be:

Open-ended and flexible
Impossible to answer with ‘yes’ or ‘no’ (questions that start with ‘why’ or ‘how’ are often best)
Unambiguous, getting straight to the point while still stimulating discussion
Unbiased and neutral

The third variable and directionality problems are two main reasons why correlation isn’t causation .

The third variable problem means that a confounding variable affects both variables to make them seem causally related when they are not.

The directionality problem is when two variables correlate and might actually have a causal relationship, but it’s impossible to conclude which variable causes changes in the other.

Controlled experiments establish causality, whereas correlational studies only show associations between variables.

In an experimental design , you manipulate an independent variable and measure its effect on a dependent variable. Other variables are controlled so they can’t impact the results.
In a correlational design , you measure variables without manipulating any of them. You can test whether your variables change together, but you can’t be sure that one variable caused a change in another.

In general, correlational research is high in external validity while experimental research is high in internal validity .

A correlation coefficient is a single number that describes the strength and direction of the relationship between your variables.

Different types of correlation coefficients might be appropriate for your data based on their levels of measurement and distributions . The Pearson product-moment correlation coefficient (Pearson’s r ) is commonly used to assess a linear relationship between two quantitative variables.

A correlational research design investigates relationships between two variables (or more) without the researcher controlling or manipulating any of them. It’s a non-experimental type of quantitative research .

A correlation reflects the strength and/or direction of the association between two or more variables.

A positive correlation means that both variables change in the same direction.
A negative correlation means that the variables change in opposite directions.
A zero correlation means there’s no relationship between the variables.

Longitudinal studies can last anywhere from weeks to decades, although they tend to be at least a year long.

The 1970 British Cohort Study , which has collected data on the lives of 17,000 Brits since their births in 1970, is one well-known example of a longitudinal study .

Longitudinal studies are better to establish the correct sequence of events, identify changes over time, and provide insight into cause-and-effect relationships, but they also tend to be more expensive and time-consuming than other types of studies.

Longitudinal studies and cross-sectional studies are two different types of research design . In a cross-sectional study you collect data from a population at a specific point in time; in a longitudinal study you repeatedly collect data from the same sample over an extended period of time.

Cross-sectional studies cannot establish a cause-and-effect relationship or analyse behaviour over a period of time. To investigate cause and effect, you need to do a longitudinal study or an experimental study .

Cross-sectional studies are less expensive and time-consuming than many other types of study. They can provide useful insights into a population’s characteristics and identify correlations for further research.

Sometimes only cross-sectional data are available for analysis; other times your research question may only require a cross-sectional study to answer it.

A hypothesis states your predictions about what your research will find. It is a tentative answer to your research question that has not yet been tested. For some research projects, you might have to write several hypotheses that address different aspects of your research question.

A hypothesis is not just a guess. It should be based on existing theories and knowledge. It also has to be testable, which means you can support or refute it through scientific research methods (such as experiments, observations, and statistical analysis of data).

A research hypothesis is your proposed answer to your research question. The research hypothesis usually includes an explanation (‘ x affects y because …’).

A statistical hypothesis, on the other hand, is a mathematical statement about a population parameter. Statistical hypotheses always come in pairs: the null and alternative hypotheses. In a well-designed study , the statistical hypotheses correspond logically to the research hypothesis.

Individual Likert-type questions are generally considered ordinal data , because the items have clear rank order, but don’t have an even distribution.

Overall Likert scale scores are sometimes treated as interval data. These scores are considered to have directionality and even spacing between them.

The type of data determines what statistical tests you should use to analyse your data.

A Likert scale is a rating scale that quantitatively assesses opinions, attitudes, or behaviours. It is made up of four or more questions that measure a single attitude or trait when response scores are combined.

To use a Likert scale in a survey , you present participants with Likert-type questions or statements, and a continuum of items, usually with five or seven possible responses, to capture their degree of agreement.

A questionnaire is a data collection tool or instrument, while a survey is an overarching research method that involves collecting and analysing data from people using questionnaires.

A true experiment (aka a controlled experiment) always includes at least one control group that doesn’t receive the experimental treatment.

However, some experiments use a within-subjects design to test treatments without a control group. In these designs, you usually compare one group’s outcomes before and after a treatment (instead of comparing outcomes between different groups).

For strong internal validity , it’s usually best to include a control group if possible. Without a control group, it’s harder to be certain that the outcome was caused by the experimental treatment and not by other variables.

An experimental group, also known as a treatment group, receives the treatment whose effect researchers wish to study, whereas a control group does not. They should be identical in all other ways.

In a controlled experiment , all extraneous variables are held constant so that they can’t influence the results. Controlled experiments require:

A control group that receives a standard treatment, a fake treatment, or no treatment
Random assignment of participants to ensure the groups are equivalent

Depending on your study topic, there are various other methods of controlling variables .

Questionnaires can be self-administered or researcher-administered.

Self-administered questionnaires can be delivered online or in paper-and-pen formats, in person or by post. All questions are standardised so that all respondents receive the same questions with identical wording.

Researcher-administered questionnaires are interviews that take place by phone, in person, or online between researchers and respondents. You can gain deeper insights by clarifying questions for respondents or asking follow-up questions.

You can organise the questions logically, with a clear progression from simple to complex, or randomly between respondents. A logical flow helps respondents process the questionnaire easier and quicker, but it may lead to bias. Randomisation can minimise the bias from order effects.

Closed-ended, or restricted-choice, questions offer respondents a fixed set of choices to select from. These questions are easier to answer quickly.

Open-ended or long-form questions allow respondents to answer in their own words. Because there are no restrictions on their choices, respondents can answer in ways that researchers may not have otherwise considered.

Naturalistic observation is a qualitative research method where you record the behaviours of your research subjects in real-world settings. You avoid interfering or influencing anything in a naturalistic observation.

You can think of naturalistic observation as ‘people watching’ with a purpose.

Naturalistic observation is a valuable tool because of its flexibility, external validity , and suitability for topics that can’t be studied in a lab setting.

The downsides of naturalistic observation include its lack of scientific control , ethical considerations , and potential for bias from observers and subjects.

You can use several tactics to minimise observer bias .

Use masking (blinding) to hide the purpose of your study from all observers.
Triangulate your data with different data collection methods or sources.
Use multiple observers and ensure inter-rater reliability.
Train your observers to make sure data is consistently recorded between them.
Standardise your observation procedures to make sure they are structured and clear.

The observer-expectancy effect occurs when researchers influence the results of their own study through interactions with participants.

Researchers’ own beliefs and expectations about the study results may unintentionally influence participants through demand characteristics .

Observer bias occurs when a researcher’s expectations, opinions, or prejudices influence what they perceive or record in a study. It usually affects studies when observers are aware of the research aims or hypotheses. This type of research bias is also called detection bias or ascertainment bias .

Data cleaning is necessary for valid and appropriate analyses. Dirty data contain inconsistencies or errors , but cleaning your data helps you minimise or resolve these.

Without data cleaning, you could end up with a Type I or II error in your conclusion. These types of erroneous conclusions can be practically significant with important consequences, because they lead to misplaced investments or missed opportunities.

Data cleaning involves spotting and resolving potential data inconsistencies or errors to improve your data quality. An error is any value (e.g., recorded weight) that doesn’t reflect the true value (e.g., actual weight) of something that’s being measured.

In this process, you review, analyse, detect, modify, or remove ‘dirty’ data to make your dataset ‘clean’. Data cleaning is also called data cleansing or data scrubbing.

Data cleaning takes place between data collection and data analyses. But you can use some methods even before collecting data.

For clean data, you should start by designing measures that collect valid data. Data validation at the time of data entry or collection helps you minimize the amount of data cleaning you’ll need to do.

After data collection, you can use data standardisation and data transformation to clean your data. You’ll also deal with any missing values, outliers, and duplicate values.

Clean data are valid, accurate, complete, consistent, unique, and uniform. Dirty data include inconsistencies and errors.

Dirty data can come from any part of the research process, including poor research design , inappropriate measurement materials, or flawed data entry.

Random assignment is used in experiments with a between-groups or independent measures design. In this research design, there’s usually a control group and one or more experimental groups. Random assignment helps ensure that the groups are comparable.

In general, you should always use random assignment in this type of experimental design when it is ethically possible and makes sense for your study topic.

Random selection, or random sampling , is a way of selecting members of a population for your study’s sample.

In contrast, random assignment is a way of sorting the sample into control and experimental groups.

Random sampling enhances the external validity or generalisability of your results, while random assignment improves the internal validity of your study.

To implement random assignment , assign a unique number to every member of your study’s sample .

Then, you can use a random number generator or a lottery method to randomly assign each number to a control or experimental group. You can also do so manually, by flipping a coin or rolling a die to randomly assign participants to groups.

Exploratory research is often used when the issue you’re studying is new or when the data collection process is challenging for some reason.

You can use exploratory research if you have a general idea or a specific question that you want to study but there is no preexisting knowledge or paradigm with which to study it.

Exploratory research is a methodology approach that explores research questions that have not previously been studied in depth. It is often used when the issue you’re studying is new, or the data collection process is challenging in some way.

Explanatory research is used to investigate how or why a phenomenon occurs. Therefore, this type of research is often one of the first stages in the research process , serving as a jumping-off point for future research.

Explanatory research is a research method used to investigate how or why something occurs when only a small amount of information is available pertaining to that topic. It can help you increase your understanding of a given topic.

Blinding means hiding who is assigned to the treatment group and who is assigned to the control group in an experiment .

Blinding is important to reduce bias (e.g., observer bias , demand characteristics ) and ensure a study’s internal validity .

If participants know whether they are in a control or treatment group , they may adjust their behaviour in ways that affect the outcome that researchers are trying to measure. If the people administering the treatment are aware of group assignment, they may treat participants differently and thus directly or indirectly influence the final results.

In a single-blind study , only the participants are blinded.
In a double-blind study , both participants and experimenters are blinded.
In a triple-blind study , the assignment is hidden not only from participants and experimenters, but also from the researchers analysing the data.

Many academic fields use peer review , largely to determine whether a manuscript is suitable for publication. Peer review enhances the credibility of the published manuscript.

However, peer review is also common in non-academic settings. The United Nations, the European Union, and many individual nations use peer review to evaluate grant applications. It is also widely used in medical and health-related fields as a teaching or quality-of-care measure.

Peer assessment is often used in the classroom as a pedagogical tool. Both receiving feedback and providing it are thought to enhance the learning process, helping students think critically and collaboratively.

Peer review can stop obviously problematic, falsified, or otherwise untrustworthy research from being published. It also represents an excellent opportunity to get feedback from renowned experts in your field.

It acts as a first defence, helping you ensure your argument is clear and that there are no gaps, vague terms, or unanswered questions for readers who weren’t involved in the research process.

Peer-reviewed articles are considered a highly credible source due to this stringent process they go through before publication.

In general, the peer review process follows the following steps:

First, the author submits the manuscript to the editor.
Reject the manuscript and send it back to author, or
Send it onward to the selected peer reviewer(s)
Next, the peer review process occurs. The reviewer provides feedback, addressing any major or minor issues with the manuscript, and gives their advice regarding what edits should be made.
Lastly, the edited manuscript is sent back to the author. They input the edits, and resubmit it to the editor for publication.

Peer review is a process of evaluating submissions to an academic journal. Utilising rigorous criteria, a panel of reviewers in the same subject area decide whether to accept each submission for publication.

For this reason, academic journals are often considered among the most credible sources you can use in a research project – provided that the journal itself is trustworthy and well regarded.

Anonymity means you don’t know who the participants are, while confidentiality means you know who they are but remove identifying information from your research report. Both are important ethical considerations .

You can only guarantee anonymity by not collecting any personally identifying information – for example, names, phone numbers, email addresses, IP addresses, physical characteristics, photos, or videos.

You can keep data confidential by using aggregate information in your research report, so that you only refer to groups of participants rather than individuals.

Research misconduct means making up or falsifying data, manipulating data analyses, or misrepresenting results in research reports. It’s a form of academic fraud.

These actions are committed intentionally and can have serious consequences; research misconduct is not a simple mistake or a point of disagreement but a serious ethical failure.

Research ethics matter for scientific integrity, human rights and dignity, and collaboration between science and society. These principles make sure that participation in studies is voluntary, informed, and safe.

Ethical considerations in research are a set of principles that guide your research designs and practices. These principles include voluntary participation, informed consent, anonymity, confidentiality, potential for harm, and results communication.

Scientists and researchers must always adhere to a certain code of conduct when collecting data from others .

These considerations protect the rights of research participants, enhance research validity , and maintain scientific integrity.

A systematic review is secondary research because it uses existing research. You don’t collect new data yourself.

The two main types of social desirability bias are:

Self-deceptive enhancement (self-deception): The tendency to see oneself in a favorable light without realizing it.
Impression managemen t (other-deception): The tendency to inflate one’s abilities or achievement in order to make a good impression on other people.

Demand characteristics are aspects of experiments that may give away the research objective to participants. Social desirability bias occurs when participants automatically try to respond in ways that make them seem likeable in a study, even if it means misrepresenting how they truly feel.

Participants may use demand characteristics to infer social norms or experimenter expectancies and act in socially desirable ways, so you should try to control for demand characteristics wherever possible.

Response bias refers to conditions or factors that take place during the process of responding to surveys, affecting the responses. One type of response bias is social desirability bias .

When your population is large in size, geographically dispersed, or difficult to contact, it’s necessary to use a sampling method .

This allows you to gather information from a smaller part of the population, i.e. the sample, and make accurate statements by using statistical analysis. A few sampling methods include simple random sampling , convenience sampling , and snowball sampling .

Stratified and cluster sampling may look similar, but bear in mind that groups created in cluster sampling are heterogeneous , so the individual characteristics in the cluster vary. In contrast, groups created in stratified sampling are homogeneous , as units share characteristics.

Relatedly, in cluster sampling you randomly select entire groups and include all units of each group in your sample. However, in stratified sampling, you select some units of all groups and include them in your sample. In this way, both methods can ensure that your sample is representative of the target population .

A sampling frame is a list of every member in the entire population . It is important that the sampling frame is as complete as possible, so that your sample accurately reflects your population.

Convenience sampling and quota sampling are both non-probability sampling methods. They both use non-random criteria like availability, geographical proximity, or expert knowledge to recruit study participants.

However, in convenience sampling, you continue to sample units or cases until you reach the required sample size.

In quota sampling, you first need to divide your population of interest into subgroups (strata) and estimate their proportions (quota) in the population. Then you can start your data collection , using convenience sampling to recruit participants, until the proportions in each subgroup coincide with the estimated proportions in the population.

Random sampling or probability sampling is based on random selection. This means that each unit has an equal chance (i.e., equal probability) of being included in the sample.

On the other hand, convenience sampling involves stopping people at random, which means that not everyone has an equal chance of being selected depending on the place, time, or day you are collecting your data.

Stratified sampling and quota sampling both involve dividing the population into subgroups and selecting units from each subgroup. The purpose in both cases is to select a representative sample and/or to allow comparisons between subgroups.

The main difference is that in stratified sampling, you draw a random sample from each subgroup ( probability sampling ). In quota sampling you select a predetermined number or proportion of units, in a non-random manner ( non-probability sampling ).

Snowball sampling is best used in the following cases:

If there is no sampling frame available (e.g., people with a rare disease)
If the population of interest is hard to access or locate (e.g., people experiencing homelessness)
If the research focuses on a sensitive topic (e.g., extra-marital affairs)

Snowball sampling relies on the use of referrals. Here, the researcher recruits one or more initial participants, who then recruit the next ones.

Participants share similar characteristics and/or know each other. Because of this, not every member of the population has an equal chance of being included in the sample, giving rise to sampling bias .

Snowball sampling is a non-probability sampling method , where there is not an equal chance for every member of the population to be included in the sample .

This means that you cannot use inferential statistics and make generalisations – often the goal of quantitative research . As such, a snowball sample is not representative of the target population, and is usually a better fit for qualitative research .

Snowball sampling is a non-probability sampling method . Unlike probability sampling (which involves some form of random selection ), the initial individuals selected to be studied are the ones who recruit new participants.

Because not every member of the target population has an equal chance of being recruited into the sample, selection in snowball sampling is non-random.

Reproducibility and replicability are related terms.

Reproducing research entails reanalysing the existing data in the same manner.
Replicating (or repeating ) the research entails reconducting the entire analysis, including the collection of new data .
A successful reproduction shows that the data analyses were conducted in a fair and honest manner.
A successful replication shows that the reliability of the results is high.

The reproducibility and replicability of a study can be ensured by writing a transparent, detailed method section and using clear, unambiguous language.

Convergent validity and discriminant validity are both subtypes of construct validity . Together, they help you evaluate whether a test measures the concept it was designed to measure.

Convergent validity indicates whether a test that is designed to measure a particular construct correlates with other tests that assess the same or similar construct.
Discriminant validity indicates whether two tests that should not be highly related to each other are indeed not related

You need to assess both in order to demonstrate construct validity. Neither one alone is sufficient for establishing construct validity.

Construct validity has convergent and discriminant subtypes. They assist determine if a test measures the intended notion.

Content validity shows you how accurately a test or other measurement method taps into the various aspects of the specific construct you are researching.

In other words, it helps you answer the question: “does the test measure all aspects of the construct I want to measure?” If it does, then the test has high content validity.

The higher the content validity, the more accurate the measurement of the construct.

If the test fails to include parts of the construct, or irrelevant parts are included, the validity of the instrument is threatened, which brings your results into question.

Construct validity refers to how well a test measures the concept (or construct) it was designed to measure. Assessing construct validity is especially important when you’re researching concepts that can’t be quantified and/or are intangible, like introversion. To ensure construct validity your test should be based on known indicators of introversion ( operationalisation ).

On the other hand, content validity assesses how well the test represents all aspects of the construct. If some aspects are missing or irrelevant parts are included, the test has low content validity.

Face validity and content validity are similar in that they both evaluate how suitable the content of a test is. The difference is that face validity is subjective, and assesses content at surface level.

When a test has strong face validity, anyone would agree that the test’s questions appear to measure what they are intended to measure.

For example, looking at a 4th grade math test consisting of problems in which students have to add and multiply, most people would agree that it has strong face validity (i.e., it looks like a math test).

On the other hand, content validity evaluates how well a test represents all the aspects of a topic. Assessing content validity is more systematic and relies on expert evaluation. of each question, analysing whether each one covers the aspects that the test was designed to cover.

A 4th grade math test would have high content validity if it covered all the skills taught in that grade. Experts(in this case, math teachers), would have to evaluate the content validity by comparing the test to the learning objectives.

Discriminant validity indicates whether two tests that should not be highly related to each other are indeed not related. This type of validity is also called divergent validity .

Criterion validity and construct validity are both types of measurement validity . In other words, they both show you how accurately a method measures something.

While construct validity is the degree to which a test or other measurement method measures what it claims to measure, criterion validity is the degree to which a test can predictively (in the future) or concurrently (in the present) measure something.

Construct validity is often considered the overarching type of measurement validity . You need to have face validity , content validity , and criterion validity in order to achieve construct validity.

Attrition refers to participants leaving a study. It always happens to some extent – for example, in randomised control trials for medical research.

Differential attrition occurs when attrition or dropout rates differ systematically between the intervention and the control group . As a result, the characteristics of the participants who drop out differ from the characteristics of those who stay in the study. Because of this, study results may be biased .

Criterion validity evaluates how well a test measures the outcome it was designed to measure. An outcome can be, for example, the onset of a disease.

Criterion validity consists of two subtypes depending on the time at which the two measures (the criterion and your test) are obtained:

Concurrent validity is a validation strategy where the the scores of a test and the criterion are obtained at the same time
Predictive validity is a validation strategy where the criterion variables are measured after the scores of the test

Validity tells you how accurately a method measures what it was designed to measure. There are 4 main types of validity :

Construct validity : Does the test measure the construct it was designed to measure?
Face validity : Does the test appear to be suitable for its objectives ?
Content validity : Does the test cover all relevant parts of the construct it aims to measure.
Criterion validity : Do the results accurately measure the concrete outcome they are designed to measure?

Convergent validity shows how much a measure of one construct aligns with other measures of the same or related constructs .

On the other hand, concurrent validity is about how a measure matches up to some known criterion or gold standard, which can be another measure.

Although both types of validity are established by calculating the association or correlation between a test score and another variable , they represent distinct validation methods.

The purpose of theory-testing mode is to find evidence in order to disprove, refine, or support a theory. As such, generalisability is not the aim of theory-testing mode.

Due to this, the priority of researchers in theory-testing mode is to eliminate alternative causes for relationships between variables . In other words, they prioritise internal validity over external validity , including ecological validity .

Inclusion and exclusion criteria are typically presented and discussed in the methodology section of your thesis or dissertation .

Inclusion and exclusion criteria are predominantly used in non-probability sampling . In purposive sampling and snowball sampling , restrictions apply as to who can be included in the sample .

Scope of research is determined at the beginning of your research process , prior to the data collection stage. Sometimes called “scope of study,” your scope delineates what will and will not be covered in your project. It helps you focus your work and your time, ensuring that you’ll be able to achieve your goals and outcomes.

Defining a scope can be very useful in any research project, from a research proposal to a thesis or dissertation . A scope is needed for all types of research: quantitative , qualitative , and mixed methods .

To define your scope of research, consider the following:

Budget constraints or any specifics of grant funding
Your proposed timeline and duration
Specifics about your population of study, your proposed sample size , and the research methodology you’ll pursue
Any inclusion and exclusion criteria
Any anticipated control , extraneous , or confounding variables that could bias your research if not accounted for properly.

To make quantitative observations , you need to use instruments that are capable of measuring the quantity you want to observe. For example, you might use a ruler to measure the length of an object or a thermometer to measure its temperature.

Quantitative observations involve measuring or counting something and expressing the result in numerical form, while qualitative observations involve describing something in non-numerical terms, such as its appearance, texture, or color.

The Scribbr Reference Generator is developed using the open-source Citation Style Language (CSL) project and Frank Bennett’s citeproc-js . It’s the same technology used by dozens of other popular citation tools, including Mendeley and Zotero.

You can find all the citation styles and locales used in the Scribbr Reference Generator in our publicly accessible repository on Github .

To paraphrase effectively, don’t just take the original sentence and swap out some of the words for synonyms. Instead, try:

Reformulating the sentence (e.g., change active to passive , or start from a different point)
Combining information from multiple sentences into one
Leaving out information from the original that isn’t relevant to your point
Using synonyms where they don’t distort the meaning

The main point is to ensure you don’t just copy the structure of the original text, but instead reformulate the idea in your own words.

Plagiarism means using someone else’s words or ideas and passing them off as your own. Paraphrasing means putting someone else’s ideas into your own words.

So when does paraphrasing count as plagiarism?

Paraphrasing is plagiarism if you don’t properly credit the original author.
Paraphrasing is plagiarism if your text is too close to the original wording (even if you cite the source). If you directly copy a sentence or phrase, you should quote it instead.
Paraphrasing is not plagiarism if you put the author’s ideas completely into your own words and properly reference the source .

To present information from other sources in academic writing , it’s best to paraphrase in most cases. This shows that you’ve understood the ideas you’re discussing and incorporates them into your text smoothly.

It’s appropriate to quote when:

Changing the phrasing would distort the meaning of the original text
You want to discuss the author’s language choices (e.g., in literary analysis )
You’re presenting a precise definition
You’re looking in depth at a specific claim

A quote is an exact copy of someone else’s words, usually enclosed in quotation marks and credited to the original author or speaker.

Every time you quote a source , you must include a correctly formatted in-text citation . This looks slightly different depending on the citation style .

For example, a direct quote in APA is cited like this: ‘This is a quote’ (Streefkerk, 2020, p. 5).

Every in-text citation should also correspond to a full reference at the end of your paper.

In scientific subjects, the information itself is more important than how it was expressed, so quoting should generally be kept to a minimum. In the arts and humanities, however, well-chosen quotes are often essential to a good paper.

In social sciences, it varies. If your research is mainly quantitative , you won’t include many quotes, but if it’s more qualitative , you may need to quote from the data you collected .

As a general guideline, quotes should take up no more than 5–10% of your paper. If in doubt, check with your instructor or supervisor how much quoting is appropriate in your field.

If you’re quoting from a text that paraphrases or summarises other sources and cites them in parentheses , APA recommends retaining the citations as part of the quote:

Smith states that ‘the literature on this topic (Jones, 2015; Sill, 2019; Paulson, 2020) shows no clear consensus’ (Smith, 2019, p. 4).

Footnote or endnote numbers that appear within quoted text should be omitted.

If you want to cite an indirect source (one you’ve only seen quoted in another source), either locate the original source or use the phrase ‘as cited in’ in your citation.

A block quote is a long quote formatted as a separate ‘block’ of text. Instead of using quotation marks , you place the quote on a new line, and indent the entire quote to mark it apart from your own words.

APA uses block quotes for quotes that are 40 words or longer.

A credible source should pass the CRAAP test and follow these guidelines:

The information should be up to date and current.
The author and publication should be a trusted authority on the subject you are researching.
The sources the author cited should be easy to find, clear, and unbiased.
For a web source, the URL and layout should signify that it is trustworthy.

Common examples of primary sources include interview transcripts , photographs, novels, paintings, films, historical documents, and official statistics.

Anything you directly analyze or use as first-hand evidence can be a primary source, including qualitative or quantitative data that you collected yourself.

Common examples of secondary sources include academic books, journal articles , reviews, essays , and textbooks.

Anything that summarizes, evaluates or interprets primary sources can be a secondary source. If a source gives you an overview of background information or presents another researcher’s ideas on your topic, it is probably a secondary source.

To determine if a source is primary or secondary, ask yourself:

Was the source created by someone directly involved in the events you’re studying (primary), or by another researcher (secondary)?
Does the source provide original information (primary), or does it summarize information from other sources (secondary)?
Are you directly analyzing the source itself (primary), or only using it for background information (secondary)?

Some types of sources are nearly always primary: works of art and literature, raw statistical data, official documents and records, and personal communications (e.g. letters, interviews ). If you use one of these in your research, it is probably a primary source.

Primary sources are often considered the most credible in terms of providing evidence for your argument, as they give you direct evidence of what you are researching. However, it’s up to you to ensure the information they provide is reliable and accurate.

Always make sure to properly cite your sources to avoid plagiarism .

A fictional movie is usually a primary source. A documentary can be either primary or secondary depending on the context.

If you are directly analysing some aspect of the movie itself – for example, the cinematography, narrative techniques, or social context – the movie is a primary source.

If you use the movie for background information or analysis about your topic – for example, to learn about a historical event or a scientific discovery – the movie is a secondary source.

Whether it’s primary or secondary, always properly cite the movie in the citation style you are using. Learn how to create an MLA movie citation or an APA movie citation .

Articles in newspapers and magazines can be primary or secondary depending on the focus of your research.

In historical studies, old articles are used as primary sources that give direct evidence about the time period. In social and communication studies, articles are used as primary sources to analyse language and social relations (for example, by conducting content analysis or discourse analysis ).

If you are not analysing the article itself, but only using it for background information or facts about your topic, then the article is a secondary source.

In academic writing , there are three main situations where quoting is the best choice:

To analyse the author’s language (e.g., in a literary analysis essay )
To give evidence from primary sources
To accurately present a precise definition or argument

Don’t overuse quotes; your own voice should be dominant. If you just want to provide information from a source, it’s usually better to paraphrase or summarise .

Your list of tables and figures should go directly after your table of contents in your thesis or dissertation.

Lists of figures and tables are often not required, and they aren’t particularly common. They specifically aren’t required for APA Style, though you should be careful to follow their other guidelines for figures and tables .

If you have many figures and tables in your thesis or dissertation, include one may help you stay organised. Your educational institution may require them, so be sure to check their guidelines.

Copyright information can usually be found wherever the table or figure was published. For example, for a diagram in a journal article , look on the journal’s website or the database where you found the article. Images found on sites like Flickr are listed with clear copyright information.

If you find that permission is required to reproduce the material, be sure to contact the author or publisher and ask for it.

A list of figures and tables compiles all of the figures and tables that you used in your thesis or dissertation and displays them with the page number where they can be found.

APA doesn’t require you to include a list of tables or a list of figures . However, it is advisable to do so if your text is long enough to feature a table of contents and it includes a lot of tables and/or figures .

A list of tables and list of figures appear (in that order) after your table of contents, and are presented in a similar way.

A glossary is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. Your glossary only needs to include terms that your reader may not be familiar with, and is intended to enhance their understanding of your work.

Definitional terms often fall into the category of common knowledge , meaning that they don’t necessarily have to be cited. This guidance can apply to your thesis or dissertation glossary as well.

However, if you’d prefer to cite your sources , you can follow guidance for citing dictionary entries in MLA or APA style for your glossary.

A glossary is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. In contrast, an index is a list of the contents of your work organised by page number.

Glossaries are not mandatory, but if you use a lot of technical or field-specific terms, it may improve readability to add one to your thesis or dissertation. Your educational institution may also require them, so be sure to check their specific guidelines.

A glossary is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. In contrast, dictionaries are more general collections of words.

The title page of your thesis or dissertation should include your name, department, institution, degree program, and submission date.

The title page of your thesis or dissertation goes first, before all other content or lists that you may choose to include.

Usually, no title page is needed in an MLA paper . A header is generally included at the top of the first page instead. The exceptions are when:

Your instructor requires one, or
Your paper is a group project

In those cases, you should use a title page instead of a header, listing the same information but on a separate page.

When you mention different chapters within your text, it’s considered best to use Roman numerals for most citation styles. However, the most important thing here is to remain consistent whenever using numbers in your dissertation .

A thesis or dissertation outline is one of the most critical first steps in your writing process. It helps you to lay out and organise your ideas and can provide you with a roadmap for deciding what kind of research you’d like to undertake.

Generally, an outline contains information on the different sections included in your thesis or dissertation, such as:

Your anticipated title
Your abstract
Your chapters (sometimes subdivided into further topics like literature review, research methods, avenues for future research, etc.)

While a theoretical framework describes the theoretical underpinnings of your work based on existing research, a conceptual framework allows you to draw your own conclusions, mapping out the variables you may use in your study and the interplay between them.

A literature review and a theoretical framework are not the same thing and cannot be used interchangeably. While a theoretical framework describes the theoretical underpinnings of your work, a literature review critically evaluates existing research relating to your topic. You’ll likely need both in your dissertation .

A theoretical framework can sometimes be integrated into a literature review chapter , but it can also be included as its own chapter or section in your dissertation . As a rule of thumb, if your research involves dealing with a lot of complex theories, it’s a good idea to include a separate theoretical framework chapter.

An abstract is a concise summary of an academic text (such as a journal article or dissertation ). It serves two main purposes:

To help potential readers determine the relevance of your paper for their own research.
To communicate your key findings to those who don’t have time to read the whole paper.

Abstracts are often indexed along with keywords on academic databases, so they make your work more easily findable. Since the abstract is the first thing any reader sees, it’s important that it clearly and accurately summarises the contents of your paper.

The abstract is the very last thing you write. You should only write it after your research is complete, so that you can accurately summarize the entirety of your thesis or paper.

Avoid citing sources in your abstract . There are two reasons for this:

The abstract should focus on your original research, not on the work of others.
The abstract should be self-contained and fully understandable without reference to other sources.

There are some circumstances where you might need to mention other sources in an abstract: for example, if your research responds directly to another study or focuses on the work of a single theorist. In general, though, don’t include citations unless absolutely necessary.

The abstract appears on its own page, after the title page and acknowledgements but before the table of contents .

Results are usually written in the past tense , because they are describing the outcome of completed actions.

The results chapter or section simply and objectively reports what you found, without speculating on why you found these results. The discussion interprets the meaning of the results, puts them in context, and explains why they matter.

In qualitative research , results and discussion are sometimes combined. But in quantitative research , it’s considered important to separate the objective results from your interpretation of them.

Formulating a main research question can be a difficult task. Overall, your question should contribute to solving the problem that you have defined in your problem statement .

However, it should also fulfill criteria in three main areas:

Researchability
Feasibility and specificity
Relevance and originality

The best way to remember the difference between a research plan and a research proposal is that they have fundamentally different audiences. A research plan helps you, the researcher, organize your thoughts. On the other hand, a dissertation proposal or research proposal aims to convince others (e.g., a supervisor, a funding body, or a dissertation committee) that your research topic is relevant and worthy of being conducted.

A noun is a word that represents a person, thing, concept, or place (e.g., ‘John’, ‘house’, ‘affinity’, ‘river’). Most sentences contain at least one noun or pronoun .

Nouns are often, but not always, preceded by an article (‘the’, ‘a’, or ‘an’) and/or another determiner such as an adjective.

There are many ways to categorize nouns into various types, and the same noun can fall into multiple categories or even change types depending on context.

Some of the main types of nouns are:

Common nouns and proper nouns
Countable and uncountable nouns
Concrete and abstract nouns
Collective nouns
Possessive nouns
Attributive nouns
Appositive nouns
Generic nouns

Pronouns are words like ‘I’, ‘she’, and ‘they’ that are used in a similar way to nouns . They stand in for a noun that has already been mentioned or refer to yourself and other people.

Pronouns can function just like nouns as the head of a noun phrase and as the subject or object of a verb. However, pronouns change their forms (e.g., from ‘I’ to ‘me’) depending on the grammatical context they’re used in, whereas nouns usually don’t.

Common nouns are words for types of things, people, and places, such as ‘dog’, ‘professor’, and ‘city’. They are not capitalised and are typically used in combination with articles and other determiners.

Proper nouns are words for specific things, people, and places, such as ‘Max’, ‘Dr Prakash’, and ‘London’. They are always capitalised and usually aren’t combined with articles and other determiners.

A proper adjective is an adjective that was derived from a proper noun and is therefore capitalised .

Proper adjectives include words for nationalities, languages, and ethnicities (e.g., ‘Japanese’, ‘Inuit’, ‘French’) and words derived from people’s names (e.g., ‘Bayesian’, ‘Orwellian’).

The names of seasons (e.g., ‘spring’) are treated as common nouns in English and therefore not capitalised . People often assume they are proper nouns, but this is an error.

The names of days and months, however, are capitalised since they’re treated as proper nouns in English (e.g., ‘Wednesday’, ‘January’).

No, as a general rule, academic concepts, disciplines, theories, models, etc. are treated as common nouns , not proper nouns , and therefore not capitalised . For example, ‘five-factor model of personality’ or ‘analytic philosophy’.

However, proper nouns that appear within the name of an academic concept (such as the name of the inventor) are capitalised as usual. For example, ‘Darwin’s theory of evolution’ or ‘ Student’s t table ‘.

Collective nouns are most commonly treated as singular (e.g., ‘the herd is grazing’), but usage differs between US and UK English :

In US English, it’s standard to treat all collective nouns as singular, even when they are plural in appearance (e.g., ‘The Rolling Stones is …’). Using the plural form is usually seen as incorrect.
In UK English, collective nouns can be treated as singular or plural depending on context. It’s quite common to use the plural form, especially when the noun looks plural (e.g., ‘The Rolling Stones are …’).

The plural of “crisis” is “crises”. It’s a loanword from Latin and retains its original Latin plural noun form (similar to “analyses” and “bases”). It’s wrong to write “crisises”.

For example, you might write “Several crises destabilized the regime.”

Normally, the plural of “fish” is the same as the singular: “fish”. It’s one of a group of irregular plural nouns in English that are identical to the corresponding singular nouns (e.g., “moose”, “sheep”). For example, you might write “The fish scatter as the shark approaches.”

If you’re referring to several species of fish, though, the regular plural “fishes” is often used instead. For example, “The aquarium contains many different fishes , including trout and carp.”

The correct plural of “octopus” is “octopuses”.

People often write “octopi” instead because they assume that the plural noun is formed in the same way as Latin loanwords such as “fungus/fungi”. But “octopus” actually comes from Greek, where its original plural is “octopodes”. In English, it instead has the regular plural form “octopuses”.

For example, you might write “There are four octopuses in the aquarium.”

The plural of “moose” is the same as the singular: “moose”. It’s one of a group of plural nouns in English that are identical to the corresponding singular nouns. So it’s wrong to write “mooses”.

For example, you might write “There are several moose in the forest.”

Bias in research affects the validity and reliability of your findings, leading to false conclusions and a misinterpretation of the truth. This can have serious implications in areas like medical research where, for example, a new form of treatment may be evaluated.

Observer bias occurs when the researcher’s assumptions, views, or preconceptions influence what they see and record in a study, while actor–observer bias refers to situations where respondents attribute internal factors (e.g., bad character) to justify other’s behaviour and external factors (difficult circumstances) to justify the same behaviour in themselves.

Response bias is a general term used to describe a number of different conditions or factors that cue respondents to provide inaccurate or false answers during surveys or interviews . These factors range from the interviewer’s perceived social position or appearance to the the phrasing of questions in surveys.

Nonresponse bias occurs when the people who complete a survey are different from those who did not, in ways that are relevant to the research topic. Nonresponse can happen either because people are not willing or not able to participate.

In research, demand characteristics are cues that might indicate the aim of a study to participants. These cues can lead to participants changing their behaviors or responses based on what they think the research is about.

Demand characteristics are common problems in psychology experiments and other social science studies because they can bias your research findings.

Demand characteristics are a type of extraneous variable that can affect the outcomes of the study. They can invalidate studies by providing an alternative explanation for the results.

These cues may nudge participants to consciously or unconsciously change their responses, and they pose a threat to both internal and external validity . You can’t be sure that your independent variable manipulation worked, or that your findings can be applied to other people or settings.

You can control demand characteristics by taking a few precautions in your research design and materials.

Use these measures:

Deception: Hide the purpose of the study from participants
Between-groups design : Give each participant only one independent variable treatment
Double-blind design : Conceal the assignment of groups from participants and yourself
Implicit measures: Use indirect or hidden measurements for your variables

Some attrition is normal and to be expected in research. However, the type of attrition is important because systematic research bias can distort your findings. Attrition bias can lead to inaccurate results because it affects internal and/or external validity .

To avoid attrition bias , applying some of these measures can help you reduce participant dropout (attrition) by making it easy and appealing for participants to stay.

Provide compensation (e.g., cash or gift cards) for attending every session
Minimise the number of follow-ups as much as possible
Make all follow-ups brief, flexible, and convenient for participants
Send participants routine reminders to schedule follow-ups
Recruit more participants than you need for your sample (oversample)
Maintain detailed contact information so you can get in touch with participants even if they move

If you have a small amount of attrition bias , you can use a few statistical methods to try to make up for this research bias .

Multiple imputation involves using simulations to replace the missing data with likely values. Alternatively, you can use sample weighting to make up for the uneven balance of participants in your sample.

Placebos are used in medical research for new medication or therapies, called clinical trials. In these trials some people are given a placebo, while others are given the new medication being tested.

The purpose is to determine how effective the new medication is: if it benefits people beyond a predefined threshold as compared to the placebo, it’s considered effective.

Although there is no definite answer to what causes the placebo effect , researchers propose a number of explanations such as the power of suggestion, doctor-patient interaction, classical conditioning, etc.

Belief bias and confirmation bias are both types of cognitive bias that impact our judgment and decision-making.

Confirmation bias relates to how we perceive and judge evidence. We tend to seek out and prefer information that supports our preexisting beliefs, ignoring any information that contradicts those beliefs.

Belief bias describes the tendency to judge an argument based on how plausible the conclusion seems to us, rather than how much evidence is provided to support it during the course of the argument.

Positivity bias is phenomenon that occurs when a person judges individual members of a group positively, even when they have negative impressions or judgments of the group as a whole. Positivity bias is closely related to optimism bias , or the e xpectation that things will work out well, even if rationality suggests that problems are inevitable in life.

Perception bias is a problem because it prevents us from seeing situations or people objectively. Rather, our expectations, beliefs, or emotions interfere with how we interpret reality. This, in turn, can cause us to misjudge ourselves or others. For example, our prejudices can interfere with whether we perceive people’s faces as friendly or unfriendly.

There are many ways to categorize adjectives into various types. An adjective can fall into one or more of these categories depending on how it is used.

Some of the main types of adjectives are:

Attributive adjectives
Predicative adjectives
Comparative adjectives
Superlative adjectives
Coordinate adjectives
Appositive adjectives
Compound adjectives
Participial adjectives
Proper adjectives
Denominal adjectives
Nominal adjectives

Cardinal numbers (e.g., one, two, three) can be placed before a noun to indicate quantity (e.g., one apple). While these are sometimes referred to as ‘numeral adjectives ‘, they are more accurately categorised as determiners or quantifiers.

Proper adjectives are adjectives formed from a proper noun (i.e., the name of a specific person, place, or thing) that are used to indicate origin. Like proper nouns, proper adjectives are always capitalised (e.g., Newtonian, Marxian, African).

The cost of proofreading depends on the type and length of text, the turnaround time, and the level of services required. Most proofreading companies charge per word or page, while freelancers sometimes charge an hourly rate.

For proofreading alone, which involves only basic corrections of typos and formatting mistakes, you might pay as little as £0.01 per word, but in many cases, your text will also require some level of editing , which costs slightly more.

It’s often possible to purchase combined proofreading and editing services and calculate the price in advance based on your requirements.

Then and than are two commonly confused words . In the context of ‘better than’, you use ‘than’ with an ‘a’.

Julie is better than Jesse.
I’d rather spend my time with you than with him.
I understand Eoghan’s point of view better than Claudia’s.

Use to and used to are commonly confused words . In the case of ‘used to do’, the latter (with ‘d’) is correct, since you’re describing an action or state in the past.

I used to do laundry once a week.
They used to do each other’s hair.
We used to do the dishes every day .

There are numerous synonyms and near synonyms for the various meanings of “ favour ”:

There are numerous synonyms and near synonyms for the two meanings of “ favoured ”:

No one (two words) is an indefinite pronoun meaning ‘nobody’. People sometimes mistakenly write ‘noone’, but this is incorrect and should be avoided. ‘No-one’, with a hyphen, is also acceptable in UK English .

Nobody and no one are both indefinite pronouns meaning ‘no person’. They can be used interchangeably (e.g., ‘nobody is home’ means the same as ‘no one is home’).

Some synonyms and near synonyms of every time include:

Without exception

‘Everytime’ is sometimes used to mean ‘each time’ or ‘whenever’. However, this is incorrect and should be avoided. The correct phrase is every time (two words).

Yes, the conjunction because is a compound word , but one with a long history. It originates in Middle English from the preposition “bi” (“by”) and the noun “cause”. Over time, the open compound “bi cause” became the closed compound “because”, which we use today.

Though it’s spelled this way now, the verb “be” is not one of the words that makes up “because”.

Yes, today is a compound word , but a very old one. It wasn’t originally formed from the preposition “to” and the noun “day”; rather, it originates from their Old English equivalents, “tō” and “dæġe”.

In the past, it was sometimes written as a hyphenated compound: “to-day”. But the hyphen is no longer included; it’s always “today” now (“to day” is also wrong).

IEEE citation format is defined by the Institute of Electrical and Electronics Engineers and used in their publications.

It’s also a widely used citation style for students in technical fields like electrical and electronic engineering, computer science, telecommunications, and computer engineering.

An IEEE in-text citation consists of a number in brackets at the relevant point in the text, which points the reader to the right entry in the numbered reference list at the end of the paper. For example, ‘Smith [1] states that …’

A location marker such as a page number is also included within the brackets when needed: ‘Smith [1, p. 13] argues …’

The IEEE reference page consists of a list of references numbered in the order they were cited in the text. The title ‘References’ appears in bold at the top, either left-aligned or centered.

The numbers appear in square brackets on the left-hand side of the page. The reference entries are indented consistently to separate them from the numbers. Entries are single-spaced, with a normal paragraph break between them.

If you cite the same source more than once in your writing, use the same number for all of the IEEE in-text citations for that source, and only include it on the IEEE reference page once. The source is numbered based on the first time you cite it.

For example, the fourth source you cite in your paper is numbered [4]. If you cite it again later, you still cite it as [4]. You can cite different parts of the source each time by adding page numbers [4, p. 15].

A verb is a word that indicates a physical action (e.g., ‘drive’), a mental action (e.g., ‘think’) or a state of being (e.g., ‘exist’). Every sentence contains a verb.

Verbs are almost always used along with a noun or pronoun to describe what the noun or pronoun is doing.

There are many ways to categorize verbs into various types. A verb can fall into one or more of these categories depending on how it is used.

Some of the main types of verbs are:

Regular verbs
Irregular verbs
Transitive verbs
Intransitive verbs
Dynamic verbs
Stative verbs
Linking verbs
Auxiliary verbs
Modal verbs
Phrasal verbs

Regular verbs are verbs whose simple past and past participle are formed by adding the suffix ‘-ed’ (e.g., ‘walked’).

Irregular verbs are verbs that form their simple past and past participles in some way other than by adding the suffix ‘-ed’ (e.g., ‘sat’).

The indefinite articles a and an are used to refer to a general or unspecified version of a noun (e.g., a house). Which indefinite article you use depends on the pronunciation of the word that follows it.

A is used for words that begin with a consonant sound (e.g., a bear).
An is used for words that begin with a vowel sound (e.g., an eagle).

Indefinite articles can only be used with singular countable nouns . Like definite articles, they are a type of determiner .

Editing and proofreading are different steps in the process of revising a text.

Editing comes first, and can involve major changes to content, structure and language. The first stages of editing are often done by authors themselves, while a professional editor makes the final improvements to grammar and style (for example, by improving sentence structure and word choice ).

Proofreading is the final stage of checking a text before it is published or shared. It focuses on correcting minor errors and inconsistencies (for example, in punctuation and capitalization ). Proofreaders often also check for formatting issues, especially in print publishing.

Whether you’re publishing a blog, submitting a research paper , or even just writing an important email, there are a few techniques you can use to make sure it’s error-free:

Take a break : Set your work aside for at least a few hours so that you can look at it with fresh eyes.
Proofread a printout : Staring at a screen for too long can cause fatigue – sit down with a pen and paper to check the final version.
Use digital shortcuts : Take note of any recurring mistakes (for example, misspelling a particular word, switching between US and UK English , or inconsistently capitalizing a term), and use Find and Replace to fix it throughout the document.

If you want to be confident that an important text is error-free, it might be worth choosing a professional proofreading service instead.

There are many different routes to becoming a professional proofreader or editor. The necessary qualifications depend on the field – to be an academic or scientific proofreader, for example, you will need at least a university degree in a relevant subject.

For most proofreading jobs, experience and demonstrated skills are more important than specific qualifications. Often your skills will be tested as part of the application process.

To learn practical proofreading skills, you can choose to take a course with a professional organisation such as the Society for Editors and Proofreaders . Alternatively, you can apply to companies that offer specialised on-the-job training programmes, such as the Scribbr Academy .

Though they’re pronounced the same, there’s a big difference in meaning between its and it’s .

‘The cat ate its food’.
‘It’s almost Christmas’.

Its and it’s are often confused, but its (without apostrophe) is the possessive form of ‘it’ (e.g., its tail, its argument, its wing). You use ‘its’ instead of ‘his’ and ‘her’ for neuter, inanimate nouns.

Then and than are two commonly confused words with different meanings and grammatical roles.

Then (pronounced with a short ‘e’ sound) refers to time. It’s often an adverb , but it can also be used as a noun meaning ‘that time’ and as an adjective referring to a previous status.
Than (pronounced with a short ‘a’ sound) is used for comparisons. Grammatically, it usually functions as a conjunction , but sometimes it’s a preposition .

Use to and used to are commonly confused words . In the case of ‘used to be’, the latter (with ‘d’) is correct, since you’re describing an action or state in the past.

I used to be the new coworker.
There used to be 4 cookies left.
We used to walk to school every day .

A grammar checker is a tool designed to automatically check your text for spelling errors, grammatical issues, punctuation mistakes , and problems with sentence structure . You can check out our analysis of the best free grammar checkers to learn more.

A paraphrasing tool edits your text more actively, changing things whether they were grammatically incorrect or not. It can paraphrase your sentences to make them more concise and readable or for other purposes. You can check out our analysis of the best free paraphrasing tools to learn more.

Some tools available online combine both functions. Others, such as QuillBot , have separate grammar checker and paraphrasing tools. Be aware of what exactly the tool you’re using does to avoid introducing unwanted changes.

Good grammar is the key to expressing yourself clearly and fluently, especially in professional communication and academic writing . Word processors, browsers, and email programs typically have built-in grammar checkers, but they’re quite limited in the kinds of problems they can fix.

If you want to go beyond detecting basic spelling errors, there are many online grammar checkers with more advanced functionality. They can often detect issues with punctuation , word choice, and sentence structure that more basic tools would miss.

Not all of these tools are reliable, though. You can check out our research into the best free grammar checkers to explore the options.

Our research indicates that the best free grammar checker available online is the QuillBot grammar checker .

We tested 10 of the most popular checkers with the same sample text (containing 20 grammatical errors) and found that QuillBot easily outperformed the competition, scoring 18 out of 20, a drastic improvement over the second-place score of 13 out of 20.

It even appeared to outperform the premium versions of other grammar checkers, despite being entirely free.

A teacher’s aide is a person who assists in teaching classes but is not a qualified teacher. Aide is a noun meaning ‘assistant’, so it will always refer to a person.

‘Teacher’s aid’ is incorrect.

A visual aid is an instructional device (e.g., a photo, a chart) that appeals to vision to help you understand written or spoken information. Aid is often placed after an attributive noun or adjective (like ‘visual’) that describes the type of help provided.

‘Visual aide’ is incorrect.

A job aid is an instructional tool (e.g., a checklist, a cheat sheet) that helps you work efficiently. Aid is a noun meaning ‘assistance’. It’s often placed after an adjective or attributive noun (like ‘job’) that describes the specific type of help provided.

‘Job aide’ is incorrect.

There are numerous synonyms for the various meanings of truly :

Yours truly is a phrase used at the end of a formal letter or email. It can also be used (typically in a humorous way) as a pronoun to refer to oneself (e.g., ‘The dinner was cooked by yours truly ‘). The latter usage should be avoided in formal writing.

It’s formed by combining the second-person possessive pronoun ‘yours’ with the adverb ‘ truly ‘.

A pathetic fallacy can be a short phrase or a whole sentence and is often used in novels and poetry. Pathetic fallacies serve multiple purposes, such as:

Conveying the emotional state of the characters or the narrator
Creating an atmosphere or set the mood of a scene
Foreshadowing events to come
Giving texture and vividness to a piece of writing
Communicating emotion to the reader in a subtle way, by describing the external world.
Bringing inanimate objects to life so that they seem more relatable.

AMA citation format is a citation style designed by the American Medical Association. It’s frequently used in the field of medicine.

You may be told to use AMA style for your student papers. You will also have to follow this style if you’re submitting a paper to a journal published by the AMA.

An AMA in-text citation consists of the number of the relevant reference on your AMA reference page , written in superscript 1 at the point in the text where the source is used.

It may also include the page number or range of the relevant material in the source (e.g., the part you quoted 2(p46) ). Multiple sources can be cited at one point, presented as a range or list (with no spaces 3,5–9 ).

An AMA reference usually includes the author’s last name and initials, the title of the source, information about the publisher or the publication it’s contained in, and the publication date. The specific details included, and the formatting, depend on the source type.

References in AMA style are presented in numerical order (numbered by the order in which they were first cited in the text) on your reference page. A source that’s cited repeatedly in the text still only appears once on the reference page.

An AMA in-text citation just consists of the number of the relevant entry on your AMA reference page , written in superscript at the point in the text where the source is referred to.

You don’t need to mention the author of the source in your sentence, but you can do so if you want. It’s not an official part of the citation, but it can be useful as part of a signal phrase introducing the source.

On your AMA reference page , author names are written with the last name first, followed by the initial(s) of their first name and middle name if mentioned.

There’s a space between the last name and the initials, but no space or punctuation between the initials themselves. The names of multiple authors are separated by commas , and the whole list ends in a period, e.g., ‘Andreessen F, Smith PW, Gonzalez E’.

The names of up to six authors should be listed for each source on your AMA reference page , separated by commas . For a source with seven or more authors, you should list the first three followed by ‘ et al’ : ‘Isidore, Gilbert, Gunvor, et al’.

In the text, mentioning author names is optional (as they aren’t an official part of AMA in-text citations ). If you do mention them, though, you should use the first author’s name followed by ‘et al’ when there are three or more : ‘Isidore et al argue that …’

Note that according to AMA’s rather minimalistic punctuation guidelines, there’s no period after ‘et al’ unless it appears at the end of a sentence. This is different from most other styles, where there is normally a period.

Yes, you should normally include an access date in an AMA website citation (or when citing any source with a URL). This is because webpages can change their content over time, so it’s useful for the reader to know when you accessed the page.

When a publication or update date is provided on the page, you should include it in addition to the access date. The access date appears second in this case, e.g., ‘Published June 19, 2021. Accessed August 29, 2022.’

Don’t include an access date when citing a source with a DOI (such as in an AMA journal article citation ).

Some variables have fixed levels. For example, gender and ethnicity are always nominal level data because they cannot be ranked.

However, for other variables, you can choose the level of measurement . For example, income is a variable that can be recorded on an ordinal or a ratio scale:

At an ordinal level , you could create 5 income groupings and code the incomes that fall within them from 1–5.
At a ratio level , you would record exact numbers for income.

If you have a choice, the ratio level is always preferable because you can analyse data in more ways. The higher the level of measurement, the more precise your data is.

The level at which you measure a variable determines how you can analyse your data.

Depending on the level of measurement , you can perform different descriptive statistics to get an overall summary of your data and inferential statistics to see if your results support or refute your hypothesis .

Levels of measurement tell you how precisely variables are recorded. There are 4 levels of measurement, which can be ranked from low to high:

Nominal : the data can only be categorised.
Ordinal : the data can be categorised and ranked.
Interval : the data can be categorised and ranked, and evenly spaced.
Ratio : the data can be categorised, ranked, evenly spaced and has a natural zero.

Statistical analysis is the main method for analyzing quantitative research data . It uses probabilities and models to test predictions about a population from sample data.

The null hypothesis is often abbreviated as H 0 . When the null hypothesis is written using mathematical symbols, it always includes an equality symbol (usually =, but sometimes ≥ or ≤).

The alternative hypothesis is often abbreviated as H a or H 1 . When the alternative hypothesis is written using mathematical symbols, it always includes an inequality symbol (usually ≠, but sometimes < or >).

As the degrees of freedom increase, Student’s t distribution becomes less leptokurtic , meaning that the probability of extreme values decreases. The distribution becomes more and more similar to a standard normal distribution .

When there are only one or two degrees of freedom , the chi-square distribution is shaped like a backwards ‘J’. When there are three or more degrees of freedom, the distribution is shaped like a right-skewed hump. As the degrees of freedom increase, the hump becomes less right-skewed and the peak of the hump moves to the right. The distribution becomes more and more similar to a normal distribution .

‘Looking forward in hearing from you’ is an incorrect version of the phrase looking forward to hearing from you . The phrasal verb ‘looking forward to’ always needs the preposition ‘to’, not ‘in’.

I am looking forward in hearing from you.
I am looking forward to hearing from you.

Some synonyms and near synonyms for the expression looking forward to hearing from you include:

Eagerly awaiting your response
Hoping to hear from you soon
It would be great to hear back from you
Thanks in advance for your reply

People sometimes mistakenly write ‘looking forward to hear from you’, but this is incorrect. The correct phrase is looking forward to hearing from you .

The phrasal verb ‘look forward to’ is always followed by a direct object, the thing you’re looking forward to. As the direct object has to be a noun phrase , it should be the gerund ‘hearing’, not the verb ‘hear’.

I’m looking forward to hear from you soon.
I’m looking forward to hearing from you soon.

Traditionally, the sign-off Yours sincerely is used in an email message or letter when you are writing to someone you have interacted with before, not a complete stranger.

Yours faithfully is used instead when you are writing to someone you have had no previous correspondence with, especially if you greeted them as ‘ Dear Sir or Madam ’.

Just checking in is a standard phrase used to start an email (or other message) that’s intended to ask someone for a response or follow-up action in a friendly, informal way. However, it’s a cliché opening that can come across as passive-aggressive, so we recommend avoiding it in favor of a more direct opening like “We previously discussed …”

In a more personal context, you might encounter “just checking in” as part of a longer phrase such as “I’m just checking in to see how you’re doing”. In this case, it’s not asking the other person to do anything but rather asking about their well-being (emotional or physical) in a friendly way.

“Earliest convenience” is part of the phrase at your earliest convenience , meaning “as soon as you can”.

It’s typically used to end an email in a formal context by asking the recipient to do something when it’s convenient for them to do so.

ASAP is an abbreviation of the phrase “as soon as possible”.

It’s typically used to indicate a sense of urgency in highly informal contexts (e.g., “Let me know ASAP if you need me to drive you to the airport”).

“ASAP” should be avoided in more formal correspondence. Instead, use an alternative like at your earliest convenience .

Some synonyms and near synonyms of the verb compose (meaning “to make up”) are:

People increasingly use “comprise” as a synonym of “compose.” However, this is normally still seen as a mistake, and we recommend avoiding it in your academic writing . “Comprise” traditionally means “to be made up of,” not “to make up.”

Some synonyms and near synonyms of the verb comprise are:

Be composed of
Be made up of

People increasingly use “comprise” interchangeably with “compose,” meaning that they consider words like “compose,” “constitute,” and “form” to be synonymous with “comprise.” However, this is still normally regarded as an error, and we advise against using these words interchangeably in academic writing .

A fallacy is a mistaken belief, particularly one based on unsound arguments or one that lacks the evidence to support it. Common types of fallacy that may compromise the quality of your research are:

Correlation/causation fallacy: Claiming that two events that occur together have a cause-and-effect relationship even though this can’t be proven
Ecological fallacy : Making inferences about the nature of individuals based on aggregate data for the group
The sunk cost fallacy : Following through on a project or decision because we have already invested time, effort, or money into it, even if the current costs outweigh the benefits
The base-rate fallacy : Ignoring base-rate or statistically significant information, such as sample size or the relative frequency of an event, in favor of less relevant information e.g., pertaining to a single case, or a small number of cases
The planning fallacy : Underestimating the time needed to complete a future task, even when we know that similar tasks in the past have taken longer than planned

The planning fallacy refers to people’s tendency to underestimate the resources needed to complete a future task, despite knowing that previous tasks have also taken longer than planned.

For example, people generally tend to underestimate the cost and time needed for construction projects. The planning fallacy occurs due to people’s tendency to overestimate the chances that positive events, such as a shortened timeline, will happen to them. This phenomenon is called optimism bias or positivity bias.

Although both red herring fallacy and straw man fallacy are logical fallacies or reasoning errors, they denote different attempts to “win” an argument. More specifically:

A red herring fallacy refers to an attempt to change the subject and divert attention from the original issue. In other words, a seemingly solid but ultimately irrelevant argument is introduced into the discussion, either on purpose or by mistake.
A straw man argument involves the deliberate distortion of another person’s argument. By oversimplifying or exaggerating it, the other party creates an easy-to-refute argument and then attacks it.

The red herring fallacy is a problem because it is flawed reasoning. It is a distraction device that causes people to become sidetracked from the main issue and draw wrong conclusions.

Although a red herring may have some kernel of truth, it is used as a distraction to keep our eyes on a different matter. As a result, it can cause us to accept and spread misleading information.

The sunk cost fallacy and escalation of commitment (or commitment bias ) are two closely related terms. However, there is a slight difference between them:

Escalation of commitment (aka commitment bias ) is the tendency to be consistent with what we have already done or said we will do in the past, especially if we did so in public. In other words, it is an attempt to save face and appear consistent.
Sunk cost fallacy is the tendency to stick with a decision or a plan even when it’s failing. Because we have already invested valuable time, money, or energy, quitting feels like these resources were wasted.

In other words, escalating commitment is a manifestation of the sunk cost fallacy: an irrational escalation of commitment frequently occurs when people refuse to accept that the resources they’ve already invested cannot be recovered. Instead, they insist on more spending to justify the initial investment (and the incurred losses).

When you are faced with a straw man argument , the best way to respond is to draw attention to the fallacy and ask your discussion partner to show how your original statement and their distorted version are the same. Since these are different, your partner will either have to admit that their argument is invalid or try to justify it by using more flawed reasoning, which you can then attack.

The straw man argument is a problem because it occurs when we fail to take an opposing point of view seriously. Instead, we intentionally misrepresent our opponent’s ideas and avoid genuinely engaging with them. Due to this, resorting to straw man fallacy lowers the standard of constructive debate.

A straw man argument is a distorted (and weaker) version of another person’s argument that can easily be refuted (e.g., when a teacher proposes that the class spend more time on math exercises, a parent complains that the teacher doesn’t care about reading and writing).

This is a straw man argument because it misrepresents the teacher’s position, which didn’t mention anything about cutting down on reading and writing. The straw man argument is also known as the straw man fallacy .

A slippery slope argument is not always a fallacy.

When someone claims adopting a certain policy or taking a certain action will automatically lead to a series of other policies or actions also being taken, this is a slippery slope argument.
If they don’t show a causal connection between the advocated policy and the consequent policies, then they commit a slippery slope fallacy .

There are a number of ways you can deal with slippery slope arguments especially when you suspect these are fallacious:

Slippery slope arguments take advantage of the gray area between an initial action or decision and the possible next steps that might lead to the undesirable outcome. You can point out these missing steps and ask your partner to indicate what evidence exists to support the claimed relationship between two or more events.
Ask yourself if each link in the chain of events or action is valid. Every proposition has to be true for the overall argument to work, so even if one link is irrational or not supported by evidence, then the argument collapses.
Sometimes people commit a slippery slope fallacy unintentionally. In these instances, use an example that demonstrates the problem with slippery slope arguments in general (e.g., by using statements to reach a conclusion that is not necessarily relevant to the initial statement). By attacking the concept of slippery slope arguments you can show that they are often fallacious.

People sometimes confuse cognitive bias and logical fallacies because they both relate to flawed thinking. However, they are not the same:

Cognitive bias is the tendency to make decisions or take action in an illogical way because of our values, memory, socialization, and other personal attributes. In other words, it refers to a fixed pattern of thinking rooted in the way our brain works.
Logical fallacies relate to how we make claims and construct our arguments in the moment. They are statements that sound convincing at first but can be disproven through logical reasoning.

In other words, cognitive bias refers to an ongoing predisposition, while logical fallacy refers to mistakes of reasoning that occur in the moment.

An appeal to ignorance (ignorance here meaning lack of evidence) is a type of informal logical fallacy .

It asserts that something must be true because it hasn’t been proven false—or that something must be false because it has not yet been proven true.

For example, “unicorns exist because there is no evidence that they don’t.” The appeal to ignorance is also called the burden of proof fallacy .

An ad hominem (Latin for “to the person”) is a type of informal logical fallacy . Instead of arguing against a person’s position, an ad hominem argument attacks the person’s character or actions in an effort to discredit them.

This rhetorical strategy is fallacious because a person’s character, motive, education, or other personal trait is logically irrelevant to whether their argument is true or false.

Name-calling is common in ad hominem fallacy (e.g., “environmental activists are ineffective because they’re all lazy tree-huggers”).

Ad hominem is a persuasive technique where someone tries to undermine the opponent’s argument by personally attacking them.

In this way, one can redirect the discussion away from the main topic and to the opponent’s personality without engaging with their viewpoint. When the opponent’s personality is irrelevant to the discussion, we call it an ad hominem fallacy .

Ad hominem tu quoque (‘you too”) is an attempt to rebut a claim by attacking its proponent on the grounds that they uphold a double standard or that they don’t practice what they preach. For example, someone is telling you that you should drive slowly otherwise you’ll get a speeding ticket one of these days, and you reply “but you used to get them all the time!”

Argumentum ad hominem means “argument to the person” in Latin and it is commonly referred to as ad hominem argument or personal attack. Ad hominem arguments are used in debates to refute an argument by attacking the character of the person making it, instead of the logic or premise of the argument itself.

The opposite of the hasty generalization fallacy is called slothful induction fallacy or appeal to coincidence .

It is the tendency to deny a conclusion even though there is sufficient evidence that supports it. Slothful induction occurs due to our natural tendency to dismiss events or facts that do not align with our personal biases and expectations. For example, a researcher may try to explain away unexpected results by claiming it is just a coincidence.

To avoid a hasty generalization fallacy we need to ensure that the conclusions drawn are well-supported by the appropriate evidence. More specifically:

In statistics , if we want to draw inferences about an entire population, we need to make sure that the sample is random and representative of the population . We can achieve that by using a probability sampling method , like simple random sampling or stratified sampling .
In academic writing , use precise language and measured phases. Try to avoid making absolute claims, cite specific instances and examples without applying the findings to a larger group.
As readers, we need to ask ourselves “does the writer demonstrate sufficient knowledge of the situation or phenomenon that would allow them to make a generalization?”

The hasty generalization fallacy and the anecdotal evidence fallacy are similar in that they both result in conclusions drawn from insufficient evidence. However, there is a difference between the two:

The hasty generalization fallacy involves genuinely considering an example or case (i.e., the evidence comes first and then an incorrect conclusion is drawn from this).
The anecdotal evidence fallacy (also known as “cherry-picking” ) is knowing in advance what conclusion we want to support, and then selecting the story (or a few stories) that support it. By overemphasizing anecdotal evidence that fits well with the point we are trying to make, we overlook evidence that would undermine our argument.

Although many sources use circular reasoning fallacy and begging the question interchangeably, others point out that there is a subtle difference between the two:

Begging the question fallacy occurs when you assume that an argument is true in order to justify a conclusion. If something begs the question, what you are actually asking is, “Is the premise of that argument actually true?” For example, the statement “Snakes make great pets. That’s why we should get a snake” begs the question “are snakes really great pets?”
Circular reasoning fallacy on the other hand, occurs when the evidence used to support a claim is just a repetition of the claim itself. For example, “People have free will because they can choose what to do.”

In other words, we could say begging the question is a form of circular reasoning.

Circular reasoning fallacy uses circular reasoning to support an argument. More specifically, the evidence used to support a claim is just a repetition of the claim itself. For example: “The President of the United States is a good leader (claim), because they are the leader of this country (supporting evidence)”.

An example of a non sequitur is the following statement:

“Giving up nuclear weapons weakened the United States’ military. Giving up nuclear weapons also weakened China. For this reason, it is wrong to try to outlaw firearms in the United States today.”

Clearly there is a step missing in this line of reasoning and the conclusion does not follow from the premise, resulting in a non sequitur fallacy .

The difference between the post hoc fallacy and the non sequitur fallacy is that post hoc fallacy infers a causal connection between two events where none exists, whereas the non sequitur fallacy infers a conclusion that lacks a logical connection to the premise.

In other words, a post hoc fallacy occurs when there is a lack of a cause-and-effect relationship, while a non sequitur fallacy occurs when there is a lack of logical connection.

An example of post hoc fallacy is the following line of reasoning:

“Yesterday I had ice cream, and today I have a terrible stomachache. I’m sure the ice cream caused this.”

Although it is possible that the ice cream had something to do with the stomachache, there is no proof to justify the conclusion other than the order of events. Therefore, this line of reasoning is fallacious.

Post hoc fallacy and hasty generalisation fallacy are similar in that they both involve jumping to conclusions. However, there is a difference between the two:

Post hoc fallacy is assuming a cause and effect relationship between two events, simply because one happened after the other.
Hasty generalisation fallacy is drawing a general conclusion from a small sample or little evidence.

In other words, post hoc fallacy involves a leap to a causal claim; hasty generalisation fallacy involves a leap to a general proposition.

The fallacy of composition is similar to and can be confused with the hasty generalization fallacy . However, there is a difference between the two:

The fallacy of composition involves drawing an inference about the characteristics of a whole or group based on the characteristics of its individual members.
The hasty generalization fallacy involves drawing an inference about a population or class of things on the basis of few atypical instances or a small sample of that population or thing.

In other words, the fallacy of composition is using an unwarranted assumption that we can infer something about a whole based on the characteristics of its parts, while the hasty generalization fallacy is using insufficient evidence to draw a conclusion.

The opposite of the fallacy of composition is the fallacy of division . In the fallacy of division, the assumption is that a characteristic which applies to a whole or a group must necessarily apply to the parts or individual members. For example, “Australians travel a lot. Gary is Australian, so he must travel a lot.”

Base rate fallacy can be avoided by following these steps:

Avoid making an important decision in haste. When we are under pressure, we are more likely to resort to cognitive shortcuts like the availability heuristic and the representativeness heuristic . Due to this, we are more likely to factor in only current and vivid information, and ignore the actual probability of something happening (i.e., base rate).
Take a long-term view on the decision or question at hand. Look for relevant statistical data, which can reveal long-term trends and give you the full picture.
Talk to experts like professionals. They are more aware of probabilities related to specific decisions.

Suppose there is a population consisting of 90% psychologists and 10% engineers. Given that you know someone enjoyed physics at school, you may conclude that they are an engineer rather than a psychologist, even though you know that this person comes from a population consisting of far more psychologists than engineers.

When we ignore the rate of occurrence of some trait in a population (the base-rate information) we commit base rate fallacy .

Cost-benefit fallacy is a common error that occurs when allocating sources in project management. It is the fallacy of assuming that cost-benefit estimates are more or less accurate, when in fact they are highly inaccurate and biased. This means that cost-benefit analyses can be useful, but only after the cost-benefit fallacy has been acknowledged and corrected for. Cost-benefit fallacy is a type of base rate fallacy .

In advertising, the fallacy of equivocation is often used to create a pun. For example, a billboard company might advertise their billboards using a line like: “Looking for a sign? This is it!” The word sign has a literal meaning as billboard and a figurative one as a sign from God, the universe, etc.

Equivocation is a fallacy because it is a form of argumentation that is both misleading and logically unsound. When the meaning of a word or phrase shifts in the course of an argument, it causes confusion and also implies that the conclusion (which may be true) does not follow from the premise.

The fallacy of equivocation is an informal logical fallacy, meaning that the error lies in the content of the argument instead of the structure.

Fallacies of relevance are a group of fallacies that occur in arguments when the premises are logically irrelevant to the conclusion. Although at first there seems to be a connection between the premise and the conclusion, in reality fallacies of relevance use unrelated forms of appeal.

For example, the genetic fallacy makes an appeal to the source or origin of the claim in an attempt to assert or refute something.

The ad hominem fallacy and the genetic fallacy are closely related in that they are both fallacies of relevance. In other words, they both involve arguments that use evidence or examples that are not logically related to the argument at hand. However, there is a difference between the two:

In the ad hominem fallacy , the goal is to discredit the argument by discrediting the person currently making the argument.
In the genetic fallacy , the goal is to discredit the argument by discrediting the history or origin (i.e., genesis) of an argument.

False dilemma fallacy is also known as false dichotomy, false binary, and “either-or” fallacy. It is the fallacy of presenting only two choices, outcomes, or sides to an argument as the only possibilities, when more are available.

The false dilemma fallacy works in two ways:

By presenting only two options as if these were the only ones available
By presenting two options as mutually exclusive (i.e., only one option can be selected or can be true at a time)

In both cases, by using the false dilemma fallacy, one conceals alternative choices and doesn’t allow others to consider the full range of options. This is usually achieved through an“either-or” construction and polarised, divisive language (“you are either a friend or an enemy”).

The best way to avoid a false dilemma fallacy is to pause and reflect on two points:

Are the options presented truly the only ones available ? It could be that another option has been deliberately omitted.
Are the options mentioned mutually exclusive ? Perhaps all of the available options can be selected (or be true) at the same time, which shows that they aren’t mutually exclusive. Proving this is called “escaping between the horns of the dilemma.”

Begging the question fallacy is an argument in which you assume what you are trying to prove. In other words, your position and the justification of that position are the same, only slightly rephrased.

For example: “All freshmen should attend college orientation, because all college students should go to such an orientation.”

The complex question fallacy and begging the question fallacy are similar in that they are both based on assumptions. However, there is a difference between them:

A complex question fallacy occurs when someone asks a question that presupposes the answer to another question that has not been established or accepted by the other person. For example, asking someone “Have you stopped cheating on tests?”, unless it has previously been established that the person is indeed cheating on tests, is a fallacy.
Begging the question fallacy occurs when we assume the very thing as a premise that we’re trying to prove in our conclusion. In other words, the conclusion is used to support the premises, and the premises prove the validity of the conclusion. For example: “God exists because the Bible says so, and the Bible is true because it is the word of God.”

In other words, begging the question is about drawing a conclusion based on an assumption, while a complex question involves asking a question that presupposes the answer to a prior question.

“ No true Scotsman ” arguments aren’t always fallacious. When there is a generally accepted definition of who or what constitutes a group, it’s reasonable to use statements in the form of “no true Scotsman”.

For example, the statement that “no true pacifist would volunteer for military service” is not fallacious, since a pacifist is, by definition, someone who opposes war or violence as a means of settling disputes.

No true Scotsman arguments are fallacious because instead of logically refuting the counterexample, they simply assert that it doesn’t count. In other words, the counterexample is rejected for psychological, but not logical, reasons.

The appeal to purity or no true Scotsman fallacy is an attempt to defend a generalisation about a group from a counterexample by shifting the definition of the group in the middle of the argument. In this way, one can exclude the counterexample as not being “true”, “genuine”, or “pure” enough to be considered as part of the group in question.

To identify an appeal to authority fallacy , you can ask yourself the following questions:

Is the authority cited really a qualified expert in this particular area under discussion? For example, someone who has formal education or years of experience can be an expert.
Do experts disagree on this particular subject? If that is the case, then for almost any claim supported by one expert there will be a counterclaim that is supported by another expert. If there is no consensus, an appeal to authority is fallacious.
Is the authority in question biased? If you suspect that an expert’s prejudice and bias could have influenced their views, then the expert is not reliable and an argument citing this expert will be fallacious.To identify an appeal to authority fallacy, you ask yourself whether the authority cited is a qualified expert in the particular area under discussion.

Appeal to authority is a fallacy when those who use it do not provide any justification to support their argument. Instead they cite someone famous who agrees with their viewpoint, but is not qualified to make reliable claims on the subject.

Appeal to authority fallacy is often convincing because of the effect authority figures have on us. When someone cites a famous person, a well-known scientist, a politician, etc. people tend to be distracted and often fail to critically examine whether the authority figure is indeed an expert in the area under discussion.

The ad populum fallacy is common in politics. One example is the following viewpoint: “The majority of our countrymen think we should have military operations overseas; therefore, it’s the right thing to do.”

This line of reasoning is fallacious, because popular acceptance of a belief or position does not amount to a justification of that belief. In other words, following the prevailing opinion without examining the underlying reasons is irrational.

The ad populum fallacy plays on our innate desire to fit in (known as “bandwagon effect”). If many people believe something, our common sense tells us that it must be true and we tend to accept it. However, in logic, the popularity of a proposition cannot serve as evidence of its truthfulness.

Ad populum (or appeal to popularity) fallacy and appeal to authority fallacy are similar in that they both conflate the validity of a belief with its popular acceptance among a specific group. However there is a key difference between the two:

An ad populum fallacy tries to persuade others by claiming that something is true or right because a lot of people think so.
An appeal to authority fallacy tries to persuade by claiming a group of experts believe something is true or right, therefore it must be so.

To identify a false cause fallacy , you need to carefully analyse the argument:

When someone claims that one event directly causes another, ask if there is sufficient evidence to establish a cause-and-effect relationship.
Ask if the claim is based merely on the chronological order or co-occurrence of the two events.
Consider alternative possible explanations (are there other factors at play that could influence the outcome?).

By carefully analysing the reasoning, considering alternative explanations, and examining the evidence provided, you can identify a false cause fallacy and discern whether a causal claim is valid or flawed.

False cause fallacy examples include:

Believing that wearing your lucky jersey will help your team win
Thinking that everytime you wash your car, it rains
Claiming that playing video games causes violent behavior

In each of these examples, we falsely assume that one event causes another without any proof.

The planning fallacy and procrastination are not the same thing. Although they both relate to time and task management, they describe different challenges:

The planning fallacy describes our inability to correctly estimate how long a future task will take, mainly due to optimism bias and a strong focus on the best-case scenario.
Procrastination refers to postponing a task, usually by focusing on less urgent or more enjoyable activities. This is due to psychological reasons, like fear of failure.

In other words, the planning fallacy refers to inaccurate predictions about the time we need to finish a task, while procrastination is a deliberate delay due to psychological factors.

A real-life example of the planning fallacy is the construction of the Sydney Opera House in Australia. When construction began in the late 1950s, it was initially estimated that it would be completed in four years at a cost of around $7 million.

Because the government wanted the construction to start before political opposition would stop it and while public opinion was still favorable, a number of design issues had not been carefully studied in advance. Due to this, several problems appeared immediately after the project commenced.

The construction process eventually stretched over 14 years, with the Opera House being completed in 1973 at a cost of over $100 million, significantly exceeding the initial estimates.

An example of appeal to pity fallacy is the following appeal by a student to their professor:

“Professor, please consider raising my grade. I had a terrible semester: my car broke down, my laptop got stolen, and my cat got sick.”

While these circumstances may be unfortunate, they are not directly related to the student’s academic performance.

While both the appeal to pity fallacy and red herring fallacy can serve as a distraction from the original discussion topic, they are distinct fallacies. More specifically:

Appeal to pity fallacy attempts to evoke feelings of sympathy, pity, or guilt in an audience, so that they accept the speaker’s conclusion as truthful.
Red herring fallacy attempts to introduce an irrelevant piece of information that diverts the audience’s attention to a different topic.

Both fallacies can be used as a tool of deception. However, they operate differently and serve distinct purposes in arguments.

Argumentum ad misericordiam (Latin for “argument from pity or misery”) is another name for appeal to pity fallacy . It occurs when someone evokes sympathy or guilt in an attempt to gain support for their claim, without providing any logical reasons to support the claim itself. Appeal to pity is a deceptive tactic of argumentation, playing on people’s emotions to sway their opinion.

Yes, it’s quite common to start a sentence with a preposition, and there’s no reason not to do so.

For example, the sentence “ To many, she was a hero” is perfectly grammatical. It could also be rephrased as “She was a hero to many”, but there’s no particular reason to do so. Both versions are fine.

Some people argue that you shouldn’t end a sentence with a preposition , but that “rule” can also be ignored, since it’s not supported by serious language authorities.

Yes, it’s fine to end a sentence with a preposition . The “rule” against doing so is overwhelmingly rejected by modern style guides and language authorities and is based on the rules of Latin grammar, not English.

Trying to avoid ending a sentence with a preposition often results in very unnatural phrasings. For example, turning “He knows what he’s talking about ” into “He knows about what he’s talking” or “He knows that about which he’s talking” is definitely not an improvement.

No, ChatGPT is not a credible source of factual information and can’t be cited for this purpose in academic writing . While it tries to provide accurate answers, it often gets things wrong because its responses are based on patterns, not facts and data.

Specifically, the CRAAP test for evaluating sources includes five criteria: currency , relevance , authority , accuracy , and purpose . ChatGPT fails to meet at least three of them:

Currency: The dataset that ChatGPT was trained on only extends to 2021, making it slightly outdated.
Authority: It’s just a language model and is not considered a trustworthy source of factual information.
Accuracy: It bases its responses on patterns rather than evidence and is unable to cite its sources .

So you shouldn’t cite ChatGPT as a trustworthy source for a factual claim. You might still cite ChatGPT for other reasons – for example, if you’re writing a paper about AI language models, ChatGPT responses are a relevant primary source .

ChatGPT is an AI language model that was trained on a large body of text from a variety of sources (e.g., Wikipedia, books, news articles, scientific journals). The dataset only went up to 2021, meaning that it lacks information on more recent events.

It’s also important to understand that ChatGPT doesn’t access a database of facts to answer your questions. Instead, its responses are based on patterns that it saw in the training data.

So ChatGPT is not always trustworthy . It can usually answer general knowledge questions accurately, but it can easily give misleading answers on more specialist topics.

Another consequence of this way of generating responses is that ChatGPT usually can’t cite its sources accurately. It doesn’t really know what source it’s basing any specific claim on. It’s best to check any information you get from it against a credible source .

No, it is not possible to cite your sources with ChatGPT . You can ask it to create citations, but it isn’t designed for this task and tends to make up sources that don’t exist or present information in the wrong format. ChatGPT also cannot add citations to direct quotes in your text.

Instead, use a tool designed for this purpose, like the Scribbr Citation Generator .

But you can use ChatGPT for assignments in other ways, to provide inspiration, feedback, and general writing advice.

GPT stands for “generative pre-trained transformer”, which is a type of large language model: a neural network trained on a very large amount of text to produce convincing, human-like language outputs. The Chat part of the name just means “chat”: ChatGPT is a chatbot that you interact with by typing in text.

The technology behind ChatGPT is GPT-3.5 (in the free version) or GPT-4 (in the premium version). These are the names for the specific versions of the GPT model. GPT-4 is currently the most advanced model that OpenAI has created. It’s also the model used in Bing’s chatbot feature.

ChatGPT was created by OpenAI, an AI research company. It started as a nonprofit company in 2015 but became for-profit in 2019. Its CEO is Sam Altman, who also co-founded the company. OpenAI released ChatGPT as a free “research preview” in November 2022. Currently, it’s still available for free, although a more advanced premium version is available if you pay for it.

OpenAI is also known for developing DALL-E, an AI image generator that runs on similar technology to ChatGPT.

ChatGPT is owned by OpenAI, the company that developed and released it. OpenAI is a company dedicated to AI research. It started as a nonprofit company in 2015 but transitioned to for-profit in 2019. Its current CEO is Sam Altman, who also co-founded the company.

In terms of who owns the content generated by ChatGPT, OpenAI states that it will not claim copyright on this content , and the terms of use state that “you can use Content for any purpose, including commercial purposes such as sale or publication”. This means that you effectively own any content you generate with ChatGPT and can use it for your own purposes.

Be cautious about how you use ChatGPT content in an academic context. University policies on AI writing are still developing, so even if you “own” the content, you’re often not allowed to submit it as your own work according to your university or to publish it in a journal.

ChatGPT is a chatbot based on a large language model (LLM). These models are trained on huge datasets consisting of hundreds of billions of words of text, based on which the model learns to effectively predict natural responses to the prompts you enter.

ChatGPT was also refined through a process called reinforcement learning from human feedback (RLHF), which involves “rewarding” the model for providing useful answers and discouraging inappropriate answers – encouraging it to make fewer mistakes.

Essentially, ChatGPT’s answers are based on predicting the most likely responses to your inputs based on its training data, with a reward system on top of this to incentivise it to give you the most helpful answers possible. It’s a bit like an incredibly advanced version of predictive text. This is also one of ChatGPT’s limitations : because its answers are based on probabilities, they’re not always trustworthy .

OpenAI may store ChatGPT conversations for the purposes of future training. Additionally, these conversations may be monitored by human AI trainers.

Users can choose not to have their chat history saved. Unsaved chats are not used to train future models and are permanently deleted from ChatGPT’s system after 30 days.

The official ChatGPT app is currently only available on iOS devices. If you don’t have an iOS device, only use the official OpenAI website to access the tool. This helps to eliminate the potential risk of downloading fraudulent or malicious software.

ChatGPT conversations are generally used to train future models and to resolve issues/bugs. These chats may be monitored by human AI trainers.

However, users can opt out of having their conversations used for training. In these instances, chats are monitored only for potential abuse.

Yes, using ChatGPT as a conversation partner is a great way to practice a language in an interactive way.

Try using a prompt like this one:

“Please be my Spanish conversation partner. Only speak to me in Spanish. Keep your answers short (maximum 50 words). Ask me questions. Let’s start the conversation with the following topic: [conversation topic].”

Yes, there are a variety of ways to use ChatGPT for language learning , including treating it as a conversation partner, asking it for translations, and using it to generate a curriculum or practice exercises.

AI detectors aim to identify the presence of AI-generated text (e.g., from ChatGPT ) in a piece of writing, but they can’t do so with complete accuracy. In our comparison of the best AI detectors , we found that the 10 tools we tested had an average accuracy of 60%. The best free tool had 68% accuracy, the best premium tool 84%.

Because of how AI detectors work , they can never guarantee 100% accuracy, and there is always at least a small risk of false positives (human text being marked as AI-generated). Therefore, these tools should not be relied upon to provide absolute proof that a text is or isn’t AI-generated. Rather, they can provide a good indication in combination with other evidence.

Tools called AI detectors are designed to label text as AI-generated or human. AI detectors work by looking for specific characteristics in the text, such as a low level of randomness in word choice and sentence length. These characteristics are typical of AI writing, allowing the detector to make a good guess at when text is AI-generated.

But these tools can’t guarantee 100% accuracy. Check out our comparison of the best AI detectors to learn more.

You can also manually watch for clues that a text is AI-generated – for example, a very different style from the writer’s usual voice or a generic, overly polite tone.

Our research into the best summary generators (aka summarisers or summarising tools) found that the best summariser available in 2023 is the one offered by QuillBot.

While many summarisers just pick out some sentences from the text, QuillBot generates original summaries that are creative, clear, accurate, and concise. It can summarise texts of up to 1,200 words for free, or up to 6,000 with a premium subscription.

Try the QuillBot summarizer for free

Deep learning requires a large dataset (e.g., images or text) to learn from. The more diverse and representative the data, the better the model will learn to recognise objects or make predictions. Only when the training data is sufficiently varied can the model make accurate predictions or recognise objects from new data.

Deep learning models can be biased in their predictions if the training data consist of biased information. For example, if a deep learning model used for screening job applicants has been trained with a dataset consisting primarily of white male applicants, it will consistently favour this specific population over others.

A good ChatGPT prompt (i.e., one that will get you the kinds of responses you want):

Gives the tool a role to explain what type of answer you expect from it
Is precisely formulated and gives enough context
Is free from bias
Has been tested and improved by experimenting with the tool

ChatGPT prompts are the textual inputs (e.g., questions, instructions) that you enter into ChatGPT to get responses.

ChatGPT predicts an appropriate response to the prompt you entered. In general, a more specific and carefully worded prompt will get you better responses.

Yes, ChatGPT is currently available for free. You have to sign up for a free account to use the tool, and you should be aware that your data may be collected to train future versions of the model.

To sign up and use the tool for free, go to this page and click “Sign up”. You can do so with your email or with a Google account.

A premium version of the tool called ChatGPT Plus is available as a monthly subscription. It currently costs £16 and gets you access to features like GPT-4 (a more advanced version of the language model). But it’s optional: you can use the tool completely free if you’re not interested in the extra features.

You can access ChatGPT by signing up for a free account:

Follow this link to the ChatGPT website.
Click on “Sign up” and fill in the necessary details (or use your Google account). It’s free to sign up and use the tool.
Type a prompt into the chat box to get started!

A ChatGPT app is also available for iOS, and an Android app is planned for the future. The app works similarly to the website, and you log in with the same account for both.

According to OpenAI’s terms of use, users have the right to reproduce text generated by ChatGPT during conversations.

However, publishing ChatGPT outputs may have legal implications , such as copyright infringement.

Users should be aware of such issues and use ChatGPT outputs as a source of inspiration instead.

According to OpenAI’s terms of use, users have the right to use outputs from their own ChatGPT conversations for any purpose (including commercial publication).

However, users should be aware of the potential legal implications of publishing ChatGPT outputs. ChatGPT responses are not always unique: different users may receive the same response.

Furthermore, ChatGPT outputs may contain copyrighted material. Users may be liable if they reproduce such material.

ChatGPT can sometimes reproduce biases from its training data , since it draws on the text it has “seen” to create plausible responses to your prompts.

For example, users have shown that it sometimes makes sexist assumptions such as that a doctor mentioned in a prompt must be a man rather than a woman. Some have also pointed out political bias in terms of which political figures the tool is willing to write positively or negatively about and which requests it refuses.

The tool is unlikely to be consistently biased toward a particular perspective or against a particular group. Rather, its responses are based on its training data and on the way you phrase your ChatGPT prompts . It’s sensitive to phrasing, so asking it the same question in different ways will result in quite different answers.

Information extraction refers to the process of starting from unstructured sources (e.g., text documents written in ordinary English) and automatically extracting structured information (i.e., data in a clearly defined format that’s easily understood by computers). It’s an important concept in natural language processing (NLP) .

For example, you might think of using news articles full of celebrity gossip to automatically create a database of the relationships between the celebrities mentioned (e.g., married, dating, divorced, feuding). You would end up with data in a structured format, something like MarriageBetween(celebrity 1 ,celebrity 2 ,date) .

The challenge involves developing systems that can “understand” the text well enough to extract this kind of data from it.

Knowledge representation and reasoning (KRR) is the study of how to represent information about the world in a form that can be used by a computer system to solve and reason about complex problems. It is an important field of artificial intelligence (AI) research.

An example of a KRR application is a semantic network, a way of grouping words or concepts by how closely related they are and formally defining the relationships between them so that a machine can “understand” language in something like the way people do.

A related concept is information extraction , concerned with how to get structured information from unstructured sources.

Yes, you can use ChatGPT to summarise text . This can help you understand complex information more easily, summarise the central argument of your own paper, or clarify your research question.

You can also use Scribbr’s free text summariser , which is designed specifically for this purpose.

Yes, you can use ChatGPT to paraphrase text to help you express your ideas more clearly, explore different ways of phrasing your arguments, and avoid repetition.

However, it’s not specifically designed for this purpose. We recommend using a specialised tool like Scribbr’s free paraphrasing tool , which will provide a smoother user experience.

Yes, you use ChatGPT to help write your college essay by having it generate feedback on certain aspects of your work (consistency of tone, clarity of structure, etc.).

However, ChatGPT is not able to adequately judge qualities like vulnerability and authenticity. For this reason, it’s important to also ask for feedback from people who have experience with college essays and who know you well. Alternatively, you can get advice using Scribbr’s essay editing service .

No, having ChatGPT write your college essay can negatively impact your application in numerous ways. ChatGPT outputs are unoriginal and lack personal insight.

Furthermore, Passing off AI-generated text as your own work is considered academically dishonest . AI detectors may be used to detect this offense, and it’s highly unlikely that any university will accept you if you are caught submitting an AI-generated admission essay.

However, you can use ChatGPT to help write your college essay during the preparation and revision stages (e.g., for brainstorming ideas and generating feedback).

ChatGPT and other AI writing tools can have unethical uses. These include:

Reproducing biases and false information
Using ChatGPT to cheat in academic contexts
Violating the privacy of others by inputting personal information

However, when used correctly, AI writing tools can be helpful resources for improving your academic writing and research skills. Some ways to use ChatGPT ethically include:

Following your institution’s guidelines
Critically evaluating outputs
Being transparent about how you used the tool

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You send us your text as soon as possible and
You can be flexible about the deadline.

Please note that the shorter your deadline is, the lower the chance that your previous editor is not available.

If your previous editor isn’t available, then we will inform you immediately and look for another qualified editor. Fear not! Every Scribbr editor follows the Scribbr Improvement Model and will deliver high-quality work.

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When you place an order, you can specify your field of study and we’ll match you with an editor who has familiarity with this area.

However, our editors are language specialists, not academic experts in your field. Your editor’s job is not to comment on the content of your dissertation, but to improve your language and help you express your ideas as clearly and fluently as possible.

This means that your editor will understand your text well enough to give feedback on its clarity, logic and structure, but not on the accuracy or originality of its content.

Good academic writing should be understandable to a non-expert reader, and we believe that academic editing is a discipline in itself. The research, ideas and arguments are all yours – we’re here to make sure they shine!

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How to write a dissertation

September 12, 2023

When you start university, one of the final pieces of work – your dissertation – seems like a long way off. Three years passes more quickly than you think, and before you know it, you’re being told it is time to start work on your dissertation. It can feel incredibly daunting, especially if you aren’t accustomed to writing extended pieces of work. Although it probably won’t feel like an easy task (it is supposed to challenge you!) with the right preparation, you can minimise the amount of stress you encounter, and manage your project with enough time.

We’re not going to focus on how to carry out your research in this post, because there are too many variables between subjects, but rather, looking at how to tackle the writing-up process.

What is a dissertation.

A dissertation is an independent piece of academic work that reports on research that you have carried out, and is much longer and more in-depth than a regular essay or research project. Word counts for UK dissertations are typically between 8,000 words to 20,000 words, but the length, along with the criteria for the sections that are required depend on the subject of your degree and the university you’re studying with.

In the UK, dissertations are different from theses. Although they are similar in that they are independent works, theses are significantly longer, and tend to refer to research projects for doctoral degrees. Theses are normally made accessible in the university library when the candidate has been awarded their doctorate. Undergraduate dissertations and theses for master’s degrees aren’t routinely available in libraries, but are sometimes made available by faculties.

Young serious Asian man in checked shirt and glasses reading information on laptop and making notes while sitting at table

How long does a dissertation take to write?

How long your dissertation takes to write will be influenced by the word count, and how long your research takes. However, many professional writers who know their subject (and perhaps don’t require such accuracy) don’t write more than 5,000 words in a day – so don’t assume you can write your dissertation during the week before the deadline! You’ll have a good idea how many words you can write comfortably in a day, so take that figure, divide it and work backwards. If you can do 1000 words (many people work with a much lower number!) and your dissertation is 10,000 words – then you need an absolute minimum of 12 days, since you’ll need time for reading, editing, spotting mistakes, and getting your dissertation bound and handed in.

Although many people thrive under a certain amount of time pressure, don’t leave getting started to the last minute. Give yourself more time than you think you’ll need for writing each section, and when you have completed a section, move straight on – don’t waste time waiting for the next writing window you have scheduled. You might find that other sections need extra time to complete.

Don’t forget to leave plenty of time for editing your work – most students need to do a lot of editing – and leave contingency time in case of IT failure, illness, or any other interruptions.

Why are dissertations so hard?

During dissertation time, university campuses worldwide are full of stressed students. Dissertation projects are massive pieces of work that have to be tackled by yourself, and your degree classification can be dramatically impacted by the mark you receive for your dissertation – which is why many students feel the pressure!

Dissertations present all kinds of problems, here are a few of the best tips we can to prevent you getting too stressed.

Planning ahead is essential – by planning, you’ll be able to manage your time much better, including breaks for eating, relaxing and exercise, which means you can think much more clearly and won’t be as stressed.
Create a plan for your work – knowing what you’re working on and when will keep you on track and ensure you don’t go off on a tangent or get too far behind.
Allow contingency time for emergencies – you don’t know if something will interrupt your writing time. Be sure to leave plenty of time ahead of the deadline to make sure you’re not over-stressed.
Don’t procrastinate – running out of time is one of the biggest problems that students encounter. Pulling a string of all-nighters to meet the deadline won’t result in your best work.
Set up autosave, and back up your work – IT staff aren’t miracle workers – so don’t work for three hours without saving, and be sure to save research in the cloud (in your Google Drive, OneDrive or Dropbox) as well as on your PC.
Do enough research – a dissertation requires much more than finding a few papers and quoting from them. You need to analyse resources in depth, and use the information correctly to support the points you are making.

How do I get started?

Start by attending all the sessions provided by the course team, and read all the information and guidance that are provided by the faculty, since this is where you’ll find out any specific requirements. Before you start writing, make sure you know:

The word count (and whether you will be penalised for being too many words over or under)
Any compulsory sections and the structure required
The style of writing required
What types of sources are permitted
The types of methodology you are allowed to use
The deadline for submission
The requirements for submitting your paper copy for marking, such as formatting and binding
Where, when, and how you submit your dissertation

Once you know these important points, you can start to get into the details and decide on your research topic.

You can read much more about the different types of roles in these areas here .

By choosing an area that you find interesting and meaningful, you’re more likely to put more effort in, and your enthusiasm will be evident, which is likely to result in a higher mark.

How should i choose my research topic.

Choosing your research topic is possibly the most important part of your dissertation. By choosing an area that you find interesting and meaningful, you’re more likely to put more effort in, and your enthusiasm will be evident, which is likely to result in a higher mark. If you choose an area that is related to your career aims, you’ll be able to mention your work at future job interviews.

If you don’t feel inspired, check course materials for modules that particularly interested you and head for the library. Academic journals and other publications in the field will contain ideas, and help you to know what is currently of interest in the field.

You can also work with your dissertation supervisor or personal tutor to narrow the focus of your research topic, discuss the best methods and to ensure your proposal is a realistic study in the time you have to work with.

Do I need to write a dissertation proposal?

Dissertation proposals aren’t mandatory at every university, but where they are, they tend to have a 500 or 1000 word limit. Even if it isn’t a requirement for you, taking the time to put together a dissertation proposal can help you understand how to plan the project. It will help you to define:

The research area that your dissertation will focus on
The questions you will examine
Some existing theories that you’ll refer to
The research methods you will be using
What you expect the outcome will be

What structure should my dissertation take?

In this next section, we’ll cover the sections that are usually required in a dissertation. Different universities and subjects have different requirements, so check the guidance from your faculty to ensure you have all the sections you need.

There are usually strict guidelines for formatting your dissertation’s title page, but normally you’ll need to include:

The title of your dissertation
The faculty or school you’re studying in
The name of the institution
The degree programme you’re studying
Your student number
The name of your supervisor
The university’s logo

If your university requires your dissertation to be printed and bound, your title page is usually your front cover.

Acknowledgements

This section may not be mandatory, but gives you space to thank people who have supported you through your dissertation. You might mention specific members of the course team, research participants, or simply friends and family.

This is a short summary section that gives readers a brief overview of what is contained in your dissertation. Abstracts are usually less than 300 words, and should include:

The topic and the aim of your research
Details of your methods
A short summary of the results
Your conclusions

Since it needs to detail what is contained in your dissertation, abstracts should always be written when you have finished the rest of your dissertation.

Most institutions require dissertations to have page numbers and a list of chapters and subheadings, including any appendices. You can generate this automatically in Word when you have finished writing your dissertation.

List of assets

If you have included lots of tables, graphs, or images in your dissertation, you may need to include an itemised list. You can generate this automatically using the Insert Caption function in Word.

List of abbreviations/glossary

This optional section may be appropriate if you have included a lot of specialist terms or abbreviations. If you have used both, you may need to include both sections separately.

Introduction

This is where you detail the topic, and explain what the reader can expect. The introduction provides more detail than your abstract, and will help readers to understand:

Your research topic and background information
The focus and extent of the research
Current research and discourse around the topic
How the research will contribute to a wider issue or discussion
The objectives and research questions
Details of how you intend to answer the questions
The structure of your dissertation

Keep your introduction succinct, and only include information that is relevant, so the reader can understand what your study is about, why you have chosen the topic, and how you plan to carry out the research.

Literature review

Your literature review should show a deep understanding of existing academic work. It should be a substantial section, and you’ll need to gather sources, critically evaluate, and analyse the works, and make connections between them. Your literature review may help you to identify:

A gap in the literature
An opportunity to use a new theoretical or methodological approach
A solution for a problem that was previously unsolved
That you can contribute to existing theoretical debate
That existing research needs strengthening with your data

You’ll be able to use your literature review to justify why you have chosen to carry out the research in your dissertation, so be sure to complete it in detail.

Methodology

This section will detail what research you carried out, and the methods you used, which is essential to show the validity of your work. This section is an account of what you did, and why you did it. You will need to include:

The approach and type of research (was it qualitative, quantitative, experimental, ethnographic?)
The methods used to collect data (did you carry out interviews, surveys, or use information from archives?)
Where and when your research took place, and information about any participants (you’ll need to anonymise personal information)
How you analysed the data (did you use statistical analysis or discourse analysis, for example)
Which tools or materials you used (computer programs or specialist lab equipment)
Information about any restrictions or hindrances you encountered and how you moved past them
An assessment or evaluation of your methods

The results section should clearly illustrate what you found. This could mean you include tables, graphs, and charts to present the findings. Think carefully about the best method to show your results, and only use graphs, tables and charts where they provide extra information – don’t use them to repeat what is in the text.

Don’t include raw data here – you can add that in your appendices. Depending on the type of research you have carried out (and faculty guidance) results may be combined with the discussion.

This section reflects on the meaning of the work you have done. You’ll demonstrate understanding of what the results show, and whether they match what you expected. You’ll also examine other ways of interpreting the data, and if your findings are at odds with what you expected, you’ll suggest reasons for why this could have happened.

Whether your results support your hypotheses or not, you’ll contextualise your study with existing research to explain how it contributes to wider discussions about the topic.

Here you’ll go back to your research question, and demonstrate understanding of your research, and the validity of the study. You may make recommendations for future research in this section.

As you already know, there are different referencing formatting conventions that are used by different subject fields. But since you’ll lose marks if you don’t do them correctly, it is essential to have your references stored accurately, and to format them correctly before you submit your dissertation.

You’ve probably already found the method of keeping references that suits you, such as using reference management software, or using Word referencing, but keep notes as you go, so you can compile your references section easily.

Referencing Help: FREE Harvard Referencing Generator >>

If there is information that you want to be included but isn’t essential to understanding your research, you may add this as part of an appendices. This could include transcripts, copies of surveys or complete tables of raw data.

Where can I get help with my dissertation?

Although your dissertation must be an independent piece of work, there are still sources of help if you get stuck. There are thousands of online resources, but here are a few more points of help:

Study skills support is available at most universities, and the team may be able to offer you assistance with your dissertation. Bear in mind there is likely to be a huge demand on this service during dissertation time, so ask early if you need their support.

Your personal tutor or dissertation supervisor can provide general advice, and you’ll probably have several review meetings during the writing period. However, your supervisor is likely to have a large number of students and their availability may be restricted.

Subject librarians will be able to advise you where to find relevant resources.

If your mental health is the issue, support can be found from counselling services that are available both from university and from external agencies, while the multifaith chaplaincy team may be able to support you with spiritual matters during your dissertation.

Final thoughts

Your dissertation project is a major part of your final year, and with exams and the pressure to decide your next steps, life can get a bit stressful. You might be planning to apply for a postgraduate degree such as a master’s degree , another type of qualification or moving into employment, but the results of your dissertation will have a huge impact on your prospects, so performing to the best of your abilities is essential.

One top tip we have is to make sure you’re not getting overworked with stress. Try studying outside of your dorm room, in a coffee shop or library. You can discover the best places to study in London on our blog.

While your dissertation is a large piece of work, with great planning and careful management, you can start to enjoy the process.

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Dissertations

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Browse through the information below for general advice on the different aspects of a dissertation.

You can download the advice in the following sections as a complete guide here.

Getting Started

What is a dissertation.

A Dissertation is a major assessment task, sometimes labelled as an Honours Project, Independent Study Module or another module of 30 credits or more with a single assessment point. They typically involve researching a topic which has been agreed and approved by a programme tutor. Information on these will be found in your Programme and Module Handbooks. (Extract taken from The Student Regulation Framework: Major Assessment Tasks )

A number of elements distinguish a dissertation from other assignments you might have undertaken:

Independent – A dissertation is an exercise in independent study. Previous assignments might have had a great deal of guidance on the topic beforehand. A dissertation puts you in the position of researcher and subject-expert and is used to assess your ability to apply the principles of research to an original, independent project.
Focus – The focus of your dissertation will be much narrower than any assignment you’ve had in the past. The purpose of a dissertation is to conduct a detailed examination of a topic in your discipline. You will need to consider multiple perspectives and demonstrate your understanding through the development of a new point of view.
Length – A dissertation is substantially longer than other assignments, and for some students, it will be the longest piece of writing they compose in their whole life. An undergraduate dissertation can range from between 5,000 to 12,00 words depending on your discipline and your other modules.
Structure – There are some components that will be present in every dissertation, and others will vary depending on the discipline or word count. A dissertation is typically structured by major chapters and other minor elements. Specifics will be detailed in your module handbook.
Weight – A dissertation will have more module credits and therefore, will account for a larger percentage of your mark. You should be able to find specific details about this in your module handbook.

Before you do anything else

Word count – Find out the word count for your dissertation. This will allow you to plan how many words should be dedicated to each section.

Academic writing in your discipline – Clarify if your discipline has any specific conventions to adhere to during the writing process, for example, if the use of first person is permitted or if subject-specific terminology requires an explanation or a glossary.

When and how you must submit your dissertation – Get the due date in your calendar! Find out exactly how you need to submit your dissertation. Typically, you should submit a copy via Turnitin and submit a printed and bound copy to the Student Admin Office. You can get your copy printed and bound via the University Copyshop.

Know who your supervisor is – Every undergraduate conducting research will be assigned a dissertation supervisor. You will be assigned to an academic at Marjon with expertise in your chosen topic. Therefore, your supervisor might be someone you have never met before. Don’t underestimate the value of your supervisor; make every effort to attend all meetings and take on board their feedback and advice.

Familiarise yourself with dissertations – Make use of the Dissertation PCs in the Library to view other Marjon undergraduate dissertations. Getting acquainted with the style, content and structure of a dissertation early on will get you off to a good start and allow you to implement similar techniques in your own report.

Developing your research question

What do we mean by a research question?

Put simply, a research question is a narrow focus or ‘question’ which you will plan and build your independent research around. It’s important to note that your research question is by no means set in stone from the minute it is devised, but is used to guide your reading and research, in order to maintain focus and direction. A research question needs to be:

Clear – It provides enough specific information for the audience to be aware of the nature and purpose of the research without requiring additional information.
Focused – It is narrow enough to allow an adequate explanation within the confines of the word count.
Concise – It is expressed in as few words as possible.
Complex – It isn’t answered by ‘yes’ or ‘no’ but rather through an examination of a number of influencing factors and perspectives.
Debateable – It naturally lends itself to debate or argument and isn’t determined simply by accepted facts.
Appropriate – It is appropriately related to your discipline or field of study.

(The George Mason University Writing Center, 2018)

Where to start?

One of the hardest parts of a dissertation is forming a research question that is narrow in focus but isn’t so narrow that it is impossible to find existing research! A dissertation should never be a demonstration of all you know about a topic. It should guide your reader through key argument. One piece of advice is to choose a topic that grabs your interest. A dissertation is a lengthy piece of work, so spend your time ‘doing what you love’, and you will have a much better outcome. Your dissertation supervisor is a great sounding board for these ideas. Here are some other things to ponder when considering your topic:

Overly ambitious or challenging topics – You may want to change the world with your dissertation; but you probably want to graduate too! Your dissertation work will be governed by time constraints and your ability to be specific. There is no possible way you can write everything there is to know on a topic either, so be selective and realistic.
Emotional links to topics – Sometimes, having an emotional link to a topic can make your research all the more meaningful, but in cases where it is likely to affect your well-being or stir up old memories, it is best to divert your focus. Dissertations by their very nature are meant to be objective pieces of research, so if you have an emotional connection to a topic, think how this might affect your research, your own ability and your own drive to complete the assignment.
Contentious topics – If you feel particularly strongly or disgruntled by a topic, then it will be difficult to remain objective in your research. For instance, if your results challenge your expectations, then you might not be able to offer an impartial view or reflect on the research experience in full.
Originality – If you are going to dedicate a great many hours to a piece of research, then you might as well make it worthy of that time and ensure that it is original. If you have an area where theorists or perspectives don’t agree, then this might be a good point to explore. If you admire a particular piece of research, try not to simply ‘replicate’ it, but rather put your own spin on it by changing some of the variables.

(Rudestam & Newton, 2001)

Narrowing it down

The Dissertation proposal

What is a dissertation proposal?

A dissertation proposal is “a careful description of what your dissertation will be about and how you intend to carry out the work involved until it’s completion” (Walliman, 2014, p. 67). You will be asked to submit a proposal for most courses, not only so your supervisor can check that your dissertation is within the realms of possibility and conforms to course requirements, but also so you can justify what you intend to do and why; how you intend to apply what you have learned over the course of your degree and how you will make a useful contribution to your discipline.

What should a dissertation proposal look like?

Each discipline will have specific guidelines on the structure of a dissertation proposal, so consult your module handbook or assessment guidelines. A proposal is typically no more than 2-3 sides of A4, to provide your reader with a snapshot of your planned dissertation. It will typically be divided into subheadings, which will vary according to word count and discipline, but typically, you will be expected to include aims and objectives, an introduction, a methods section, literature and research concepts or limitations.

The title problem

You will be expected to submit a dissertation title/ research question. Try to capture the main themes of your proposed research in the title so your reader is able to summarise what you will be doing from the title alone. If you are unsure where to start, try to identify themes by returning to your reading and picking out the key concepts that occur in the literature. Once you have these key concepts, illustrate the scope of your research with additional words that limit location or time. Remember, that this will be a working title: you are likely to tweak it as your research progresses.

Aims & objectives

You should aim to summarise the aims and objectives of your dissertation in no more than 3-4 bullet points. These should be a very focused summary of the reasons for your research and should lead your reader neatly into the subject background. You should also clearly set out the limitations of your dissertation here, so that the exact scope of the research is distinct.

Introduce the subject background

Your introduction needs to outline the current situation in terms of subject literature to your reader in a way that could be understood by anybody; not just subject specialists. Therefore, take extra care to make define any subject-specific terminology and any complex theories or concepts. Additionally, your introduction will need to convince your dissertation supervisor that you have undertaken adequate preparatory reading in the subject you intend to study. You can do this by:

Introducing research conducted so far and what is has discovered
Stating what has not been determined by research so far
Introducing the need for research in this particular area in light of literature

The use of evidence from a wide range of sources will be crucial to your dissertation proposal. Don’t dismiss literature if it isn’t directly linked to your topic; look for any subtle, indirect links and pull these out to draw relationships between concepts. Your dissertation supervisor will tell you if you have missed any critical readings and might be able to direct you towards helpful resources.

The key to an excellent dissertation proposal is the ability to deliver your understanding, argument and research intentions succinctly. You will need to contextualise your research in a concise style. Be selective: you are not expected to deliver everything you know on the topic in your proposal; just enough to demonstrate that you have a clear understanding of the literature and how your research feeds into this.

You will need to detail how you intend to carry out your research and link your chosen methods to the research question. Be as clear as you possibly can, especially if you intend to use more than one method. Stipulate clearly which aim a method intends to address. This may require a bit of background reading on research methods. If you are unsure where to start, Skills You Need is an excellent introductory resource on research methods. Here are a number of things you could address in your methods proposal:

State a research design
Identify the research population – lay out the situation
Select a sample – size, location, number of people
Collecting data – through interviews, surveys, observations etc.
Analysing data – through coding statistical tests etc.

(Walliman, 2014, p. 74)

Expected outcomes

You should include a few sentences on what you expect the outcomes of your research to be and predict who might benefit from the findings. The outcomes should be linked closely to the aims and objectives of the research and should be relative to your timeframe and resources.

What do I do with a proposal once approved?

The proposal will be an excellent foundation for your dissertation in terms of research and write up, so expect to refer to it regularly in order to plan your research. Eventually, the proposal will be superseded by the dissertation document itself, but it is helpful to keep a copy to keep your research on track.

Major Dissertation Chapters

The following sections will be an essential part of every undergraduate honours dissertation. You should refer to your module handbook for precise guidance. The following advice centres on the main components, structure and style of each chapter. This does not supersede any advice given to you by your dissertation supervisor or in module handbooks.

Click here for a Dissertation Chapter Checklist

Introduction

The purpose of the introduction

Mewburn, Firth and Lehmann (2019) liken a dissertation introduction to a map: your reader will never have encountered this exact piece of research, so the introduction needs to serve as guide to your reader on what’s to follow throughout the rest of your report. (See this guide to using signposts ). Additionally, your introduction should contextualise your research. You may find that broader background information is required to contextualise the literature referred to in your literature review, so the introduction would be the natural place for this to sit. However, don’t release all details of your research in the introduction; your reader just needs a taste of your research so they continue reading!

Introduction content checklist

Dissertation Tip #3

Don’t dismiss the value of a good introduction in a dissertation. You may find it easier to outline your introduction in the early stages of writing and then draft it thoroughly after you have completed the research and understand fully what you are introducing. This is because your ideas will develop over the writing and researching process and your introduction will need to reflect this process.

Further Resources

Skills You Need. (2019). Writing a dissertation: The introduction. Retrieved from https://www.skillsyouneed.com/learn/dissertation-introduction.html

Warwick University. (2017). Writing an introduction. Retrieved from https://warwick.ac.uk/fac/soc/al/globalpad/openhouse/academicenglishskills/writing/moreinfo/

Literature Review

Your literature review is a major chapter in your dissertation and is your chance to present the current state of play for research in your chosen subject. You will need to consult the literature in your discipline to ensure that the research you are planning to conduct hasn’t already been carried out, and to justify why your chosen subject is worth investigation. Your literature review is the section of your dissertation where you begin to narrow your focus too, so you can examine all the nitty-gritty details of the research problem.

Dissertation Tip #4

You will need to refer to several sources in your literature review; some of these might be or be located in places you are unsure of. The University’s AIM sessions offer informative sessions on using Discovery, so you can optimise your searches, locate information quickly and make the research process easier. You can view all sessions and book on Learning Space.

What should I cover in my lit review?

The clue is in the title! You should be consulting a range of sources related to your research question and collating this information to provide your reader with a current state of events in your chosen subject. Here are some of the things you can look for in your dissertation reading:

Theory – A consideration of your topic from the perspective of multiple theories and how they explain certain phenomenon. Draw upon the strengths and weaknesses of theories and compare and contrast them.
History – How have we arrived at the current situation in your discipline? Examine problems or phenomenon that has developed over time, examine their consequences and argue whether it has helped or hindered the situation.
Developments – What are the current ways of thinking in your discipline? What are the current problems and how are they being tackled? What conflicts exist within the subject?
Research methods – what techniques have been used to research the issues so far? How has data been collected and analysed? How have the outcomes been explained?

(Walliman, 2014, p. 101)

Remember that you won’t be able to read absolutely everything that has ever been written in your field. The literature review is an iterative process; it will need to be drafted, adapted, edited and redrafted, so a source that is essential at the beginning of the process might be substituted for something more relevant at a later point.

Keeping a record

Throughout the dissertation process, it is vital that you keep a record of your reading so that you can easily refer back to material that you wish to include in your report and be able to track down details for citations. It can be difficult to know which parts of a source will be useful to your dissertation. For each source you read, write a summary in no more than 3 lines, so you will know the content at a glance. Create a standard way of noting themes, or papers that are essential. Appendix C has a reading chart as an example of how to standardise your notes, engage critically and make the most of your reading.

Further Resources for Literature Reviews

2 Turning an annotated bibliography on steroids in a proper literature review (pp 138-144) in Mewburn, I., Firth, K. & Lehmann, S. (2019). How to fix your academic writing trouble: A practical guide.
Skills You Need. (2019). Researching and writing a literature review. Retrieved from https://www.skillsyouneed.com/learn/literature-review.html

Methodology

Purpose of a methodology

The methodology chapter is a justification for your chosen research methods in terms of philosophy and your research question (Skills You Need, 2019a). It needs to demonstrate exactly how your research was conducted so that it can be replicated step-by-step and so that your reasons for using certain protocol or methods is clear (Rudestam & Newton, 2001).

What should I cover in my methodology?

What you cover and how you write about these elements in your methodology will be largely governed by your use of quantitative or qualitative research methods. Broadly speaking:

Quantitative research tends to involve relatively large-scale and representative sets of data, and if often, … presented or perceived as being about the gathering of ‘facts’. Qualitative research, on the other hand, is concerned with collecting and analysing information in as many forms, chiefly non-numeric, as possible … and aims to achieve ‘depth’ rather than ‘breadth’.

(Blaxter, Hughes and Tight, 2010, p. 65)

Your methodology needs to be written in the past or present tense so that you can reflect on what methods were used, what went well and what you amended. It also needs to distinguish your research methods and your data collection methods and discuss them in terms of their pros and cons for your research.

You should also remember to include details on any equipment or procedures used, details about your participants and how you ensured the validity and reliability of your research. You should consult your module handbook for more information on the specific subheadings for inclusion in your methodology or consult texts on research methods to differentiate between the methodological details of qualitative and quantitative research.

Dissertation Tip #5

Marjon TELKit has a lot of tools you can use to facilitate your research methods such as online surveys, SPSS for statistical analysis and recording software for interviews. Ensure that any software you use can store data ethically and that you include the name of the software used in your methodology chapter for potential replication.

Often, research is dependent on the involvement of other people. This means you must conduct your research in a way that adheres to ethical guidelines; whether this is guidelines within your discipline, or the guidelines set up by Plymouth Marjon University , you should design your research in a way that is ethical, safe and respectful. Your methodology should have a subheading for ethical considerations, so you can demonstrate how these ethical guidelines have been followed throughout the research process, for instance participant consent, anonymity and the right to withdraw. Please be aware that you cannot carry out any research until you have received ethical approval.

Further Resources on Methodology

Chapter 5 – The method chapter: Describing your research plan in Rudestam, K. E. and Newton, R. R. (2001). Surviving your dissertation: A comprehensive guide to content and process. (2 nd ed). Thousand Oaks, CA: Sage.
Chapter 10 – What’s all this about ethics? In Walliman, N. (2014). Your undergraduate dissertation: The essential guide for success. (2 nd ). London, UK: Sage.
Bryman, A. (2016). Social research methods. (5 th ). Oxford, UK: Oxford University Press.

Results & Discussion

Please note that this guide considers the results and discussion of your dissertation as one chapter. Some disciplines require separate chapters, so consult your module handbook for specific guidance.

Purpose of results

The results section of your dissertation is where you describe your results, or what has occurred. If you are using statistical tests, then this is the section where you would discuss statistical significance and whether it has been achieved or not. The results section should include charts, graphs and tables so that you can refer to them and ‘state what you see’. You should include snapshots of your results here including overall results, instances of high or low phenomena, and any anomalies. Your raw data will need to go into your appendices and can be referred to for specifics, such as answers in interviews. Make sure you guide your reader through what you consider to be the most important observations.

Purpose of discussion

The discussion section is where you review and link the findings from your research to the existing literature and critically evaluate your contribution against other research. Put simply, your discussion section explains why and should perform four major functions:

What should I cover in my results and discussion?

Think of your discussion section as a long, persuasive essay. It needs to refer to the readings in your literature review and any other sources you have deemed essential in light of your findings. It is important that your discussion is critical so that you can make appropriate links between your research question, the literature and your findings. This means building an argument to persuade your reader and using your results to construct an argument on multiple grounds:

Agree with, defend or confirm a point of view you have found in the literature
Propose a new point of view
Concede on some facets of a theory, but use your results to warrant a re-examination of other facets
Reformulate an existing point of view to provide a better explanation
Dismiss another’s point of view on the grounds of inadequacy or irrelevance
Reject or rebut the argument of another on various grounds
Reconcile two positions that may seem at odds, but are connected
Retract or reject your previous position in light of evidence or arguments

(Taylor, 2009, p. 112-113)

Dissertation Tip #6

Your discussion section will need to create a strong argument. The University’s AIM sessions include Advanced Critical Thinking which looks at how to create and write strong, persuasive arguments through the use of evidence, rejection of fallacies and evaluation of rhetoric.

Sources for Results and Discussion

Chapter 6 – Presenting the results of empirical studies in Rudestam, K. E. and Newton, R. R. (2001). Surviving your dissertation: A comprehensive guide to content and process. (2 nd ed). Thousand Oaks, CA: Sage.
University of Leicester. (2019). Writing a dissertation. Retrieved from https://www2.le.ac.uk/offices/ld/resources/writing/writing-resources/writing-dissertation
‘Where’s your evidence for this?’ : using what you know to make a case In Mewburn, I., Firth, K. & Lehmann, S. (2019). How to fix your academic writing trouble: A practical guide. London, UK: Open University Press.

The purpose of the conclusion

The conclusion is a chapter that should not be underestimated. The conclusion is your time to shine; your platform to state everything you have found out through your research and what this indicates. Furthermore, your conclusion is your chance to recommend as a practitioner in your field, so don’t pass up this opportunity in your dissertation writing!

Your conclusion should include:

A brief summary of your key findings and essential results (try to avoid repetition of your introduction)
An explicit account of the conclusions you have drawn from your research in relation to your research question, separating the confident conclusions from the uncertain
An indication of why your research is important (to other researchers, practitioners, policy etc.)
Recommendations for future research or future practice (within the realms of possibility!)
A final statement to round off your dissertation; typically, a hedged prediction of the future or any explicit conclusions

(Skills You Need, 2019c; Taylor, 2009)

Reference List

A reference list is an absolutely essential component of your dissertation. every single work you mention in any chapter of your dissertation must be included in the reference list in the appropriate apa style. whilst there is no official guidance on how many references will sufficiently aid a dissertation, you should be reading widely and consulting more than just books and webpages..

Dissertation Tip #7

Don’t leave your reference list until last! Try using a referencing tool such as Mendeley to keep track of all your readings and automate citations for your dissertation report and the reference list. The University’s AIM sessions include Mendeley training and Organising Information , which equips you with the tools to manage your sources more effectively.

Additional Dissertation Sections

The following sections might be essential for some courses, but optional for others. Please adhere to your module handbook in the first instance, or clarify with your dissertation supervisor.

An abstract provides your reader with a ‘map’ to the structure of your dissertation and allows your reader to decide whether your dissertation is relevant to them (without reading the whole document). Your abstract should be written after you have completed your major chapters and therefore needs to be written in the past tense. It needs to describe the crucial elements of your dissertation in the fewest words possible, including:

What the research question is and the aims and objectives
Acknowledgement of a main theorist or theory (if applied)
A short note on the main methods used
A brief note on the major results
Summary of the main conclusion and recommendations

An abstract should not include :

Lengthy background information
Waffle – be succinct and to the point
Citations or references to other works
Images, figures, tables
Acronyms, abbreviations or subject-specific terminology

(University of Southern California, 2019)

TIP: Take a look at some of the journal articles you have read and note how they construct the abstract. These can act as a good model for this section of your dissertation.

Contents & Tables

Reports as standard require contents pages. You will need to include a table of contents, a list of figures and a list of tables so that your dissertation can be easily navigated. You can learn how to create these elements in your dissertation document, and more in the AIM Dissertation Formatting session. Book on Learning Space to attend!

Statement of originality

You will need to include a statement of originality in a standard format towards the beginning of your dissertation. This statement confirms that you have cited all sources within your work and that any work outside of these citations is your own. Good research is underpinned by academic integrity, including the acknowledgment of the work of others and having the confidence to undertake your own research and writing. Don’t fall at the final hurdle! If you are concerned about something, speak to your dissertation supervisor. Here is the exact statement that needs to be included:

I confirm that I have fully acknowledged all sources of information and help received and that where such acknowledgement is not made the work is my own.

Signed: …………………..

Dated: …………………..

Acknowledgements

The acknowledgements page is the part of your dissertation where you can thank anybody who has helped you during the research process. Typically, this should include your dissertation supervisor and any participants in your study; but be mindful of anonymity with the latter. The acknowledgements can extend to anyone you’d like to include and don’t need to be written in an academic style, as they are personal to you. However, don’t be unnecessarily offensive; your work will be viewed by many Marjon students in years to come, so set a good example!

A glossary is a list of key terms used in a specific context or technical terminology that might require some description in order to aid your reader’s understanding of the terms. A glossary is used to make your dissertation more available and accessible to a wider audience through clear explanations of words. You should only include a glossary if it is going to be of genuine use to your reader. A glossary should:

Be alphabetical for easy look-up of terms
Be restricted to words that your reader might need to clarify
Not include acronyms – these should be included in a List of Acronyms if they are numerous

Bibliography/Supervision Log

A bibliography is a requirement for some disciplines, but not all. The same goes for a supervision log; this is a common requirement for teaching degrees. You should check your module handbook for any specific guidance. If you are required to include these, then they should be included directly after your reference list and listed in your Table of Contents. Your bibliography should be formatted in APA, alphabetically and with a hanging indent.

Remember: if you cite something from your bibliography in your dissertation then it needs to be moved to your reference list!

Think of your appendices as filing location for any essential documents that need to be submitted in conjunction with or referred to within your dissertation. Anything that supports or extends the main body of the dissertation should be submitted as an appendix. Traditionally, appendices are labelled A, B, C… with a short description of the contents, for easy referral within the main body of your dissertation. Things that typically get included in appendices are:

Ethical clearance forms
Consent forms
Examples of blank questionnaires/interview questions/datasets
Raw data from results
Transcriptions of interviews or focus groups
Coded data from thematic analysis

Your appendices are not suitable for the inclusion of material that you can’t fit into the allocated word count! If something is worth saying, the ensure you include it in the appropriate chapter of your dissertation and use artful editing to get within the word count limits.

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The sun is shining but many students won't see the daylight. Because it's that time of year again – dissertation time.

Luckily for me, my D-Day (dissertation hand-in day) has already been and gone. But I remember it well.

The 10,000-word spiral-bound paper squatted on my desk in various forms of completion was my Allied forces; the history department in-tray was my Normandy. And when Eisenhower talked about a "great crusade toward which we have striven these many months", he was bang on.

I remember first encountering the Undergraduate Dissertation Handbook, feeling my heart sink at how long the massive file took to download, and began to think about possible (but in hindsight, wildly over-ambitious) topics. Here's what I've learned since, and wish I'd known back then…

1 ) If your dissertation supervisor isn't right, change. Mine was brilliant. If you don't feel like they're giving you the right advice, request to swap to someone else – providing it's early on and your reason is valid, your department shouldn't have a problem with it. In my experience, it doesn't matter too much whether they're an expert on your topic. What counts is whether they're approachable, reliable, reassuring, give detailed feedback and don't mind the odd panicked email. They are your lifeline and your best chance of success.

2 ) If you mention working on your dissertation to family, friends or near-strangers, they will ask you what it's about, and they will be expecting a more impressive answer than you can give. So prepare for looks of confusion and disappointment. People anticipate grandeur in history dissertation topics – war, genocide, the formation of modern society. They don't think much of researching an obscure piece of 1970s disability legislation. But they're not the ones marking it.

3 ) If they ask follow-up questions, they're probably just being polite.

4 ) Do not ask friends how much work they've done. You'll end up paranoid – or they will. Either way, you don't have time for it.

5 ) There will be one day during the process when you will freak out, doubt your entire thesis and decide to start again from scratch. You might even come up with a new question and start working on it, depending on how long the breakdown lasts. You will at some point run out of steam and collapse in an exhausted, tear-stained heap. But unless there are serious flaws in your work (unlikely) and your supervisor recommends starting again (highly unlikely), don't do it. It's just panic, it'll pass.

6 ) A lot of the work you do will not make it into your dissertation. The first few days in archives, I felt like everything I was unearthing was a gem, and when I sat down to write, it seemed as if it was all gold. But a brutal editing down to the word count has left much of that early material at the wayside.

7 ) You will print like you have never printed before. If you're using a university or library printer, it will start to affect your weekly budget in a big way. If you're printing from your room, "paper jam" will come to be the most dreaded two words in the English language.

8 ) Your dissertation will interfere with whatever else you have going on – a social life, sporting commitments, societies, other essay demands. Don't even try and give up biscuits for Lent, they'll basically become their own food group when you're too busy to cook and desperate for sugar.

9 ) Your time is not your own. Even if you're super-organised, plan your time down to the last hour and don't have a single moment of deadline panic, you'll still find that thoughts of your dissertation will creep up on you when you least expect it. You'll fall asleep thinking about it, dream about it and wake up thinking about. You'll feel guilty when you're not working on it, and mired in self-doubt when you are.

10 ) Finishing it will be one of the best things you've ever done. It's worth the hard work to know you've completed what's likely to be your biggest, most important, single piece of work. Be proud of it.

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Literature reviews

Writing a literature review.

The following guide has been created for you by the Student Learning Advisory Service . For more detailed guidance and to speak to one of our advisers, please book an appointment or join one of our workshops . Alternatively, have a look at our SkillBuilder skills videos.

Preparing a literature review involves:

Searching for reliable, accurate and up-to-date material on a topic or subject
Reading and summarising the key points from this literature
Synthesising these key ideas, theories and concepts into a summary of what is known
Discussing and evaluating these ideas, theories and concepts
Identifying particular areas of debate or controversy
Preparing the ground for the application of these ideas to new research

Finding and choosing material

Ensure you are clear on what you are looking for. ask yourself:.

What is the specific question, topic or focus of my assignment?
What kind of material do I need (e.g. theory, policy, empirical data)?
What type of literature is available (e.g. journals, books, government documents)?

What kind of literature is particularly authoritative in this academic discipline (e.g. psychology, sociology, pharmacy)?

How much do you need?

This will depend on the length of the dissertation, the nature of the subject, and the level of study (undergraduate, Masters, PhD). As a very rough rule of thumb – you may choose 8-10 significant pieces (books and/or articles) for an 8,000 word dissertation, up to 20 major pieces of work for 12-15,000 words, and so on. Bear in mind that if your dissertation is based mainly around an interaction with existing scholarship you will need a longer literature review than if it is there as a prelude to new empirical research. Use your judgement or ask your supervisor for guidance.

Where to find suitable material

Your literature review should include a balance between substantial academic books, journal articles and other scholarly publications. All these sources should be as up-to-date as possible, with the exception of ‘classic texts’ such as major works written by leading scholars setting out formative ideas and theories central to your subject. There are several ways to locate suitable material:

Module bibliography: for undergraduate dissertations, look first at the bibliography provided with the module documentation. Choose one or two likely looking books or articles and then scan through the bibliographies provided by these authors. Skim read some of this material looking for clues: can you use these leads to identify key theories and authors or track down other appropriate material?

Library catalogue search engine: enter a few key words to capture a range of items, but avoid over-generalisations; if you type in something as broad as ‘social theory’ you are likely to get several thousand results. Be more specific: for example, ‘Heidegger, existentialism’. Ideally, you should narrow the field to obtain just a few dozen results. Skim through these quickly to identity texts which are most likely to contribute to your study.

Library bookshelves: browse the library shelves in the relevant subject area and examine the books that catch your eye. Check the contents and index pages, or skim through the introductions (or abstracts, in the case of journal articles) to see if they contain relevant material, and replace them if not. Don’t be afraid to ask one of the subject librarians for further help. Your supervisor may also be able to point you in the direction of some of the important literature , but remember this is your literature search, not theirs.

Online: for recent journal articles you will almost certainly need to use one of the online search engines. These can be found on the ‘Indexing Services’ button on the Templeman Library website. Kent students based at Medway still need to use the Templeman pages to access online journals, although you can get to these pages through the Drill Hall Library catalogue. Take a look as well at the Subject Guides on both the Templeman and DHL websites.

Check that you have made the right selection by asking:

Has my search been wide enough to ensure that I have identified all the relevant material, but narrow enough to exclude irrelevant material?
Is there a good enough sample of literature for the level (PhD, Masters, undergraduate) of my dissertation or thesis?
Have I considered as many alternative points of view as possible?
Will the reader find my literature review relevant and useful?

Assessing the literature

Read the material you have chosen carefully, considering the following:

The key point discussed by the author: is this clearly defined
What evidence has the author produced to support this central idea?
How convincing are the reasons given for the author’s point of view?
Could the evidence be interpreted in other ways?
What is the author's research method (e.g. qualitative, quantitative, experimental, etc.)?
What is the author's theoretical framework (e.g. psychological, developmental, feminist)?
What is the relationship assumed by the author between theory and practice?
Has the author critically evaluated the other literature in the field?
Does the author include literature opposing their point of view?
Is the research data based on a reliable method and accurate information?
Can you ‘deconstruct’ the argument – identify the gaps or jumps in the logic?
What are the strengths and limitations of this study?
What does this book or article contribute to the field or topic?
What does this book or article contribute to my own topic or thesis?

As you note down the key content of each book or journal article (together with the reference details of each source) record your responses to these questions. You will then be able to summarise each piece of material from two perspectives:

Content: a brief description of the content of the book or article. Remember, an author will often make just one key point; so, what is the point they are making, and how does it relate to your own research project or assignment?

Critical analysis: an assessment of the relative strengths and weaknesses of the evidence used, and the arguments presented. Has anything conveniently been left out or skated over? Is there a counter-argument, and has the author dealt with this adequately? Can the evidence presented be interpreted another way? Does the author demonstrate any obvious bias which could affect their reliability? Overall, based on the above analysis of the author’s work, how do you evaluate its contribution to the scholarly understanding and knowledge surrounding the topic?

Structuring the literature review

In a PhD thesis, the literature review typically comprises one chapter (perhaps 8-10,000 words), for a Masters dissertation it may be around 2-3,000 words, and for an undergraduate dissertation it may be no more than 2,000 words. In each case the word count can vary depending on a range of factors and it is always best, if in doubt, to ask your supervisor.

The overall structure of the section or chapter should be like any other: it should have a beginning, middle and end. You will need to guide the reader through the literature review, outlining the strategy you have adopted for selecting the books or articles, presenting the topic theme for the review, then using most of the word limit to analyse the chosen books or articles thoroughly before pulling everything together briefly in the conclusion.

Some people prefer a less linear approach. Instead of simply working through a list of 8-20 items on your book review list, you might want to try a thematic approach, grouping key ideas, facts, concepts or approaches together and then bouncing the ideas off each other. This is a slightly more creative (and interesting) way of producing the review, but a little more risky as it is harder to establish coherence and logical sequencing.

Whichever approach you adopt, make sure everything flows smoothly – that one idea or book leads neatly to the next. Take your reader effortlessly through a sequence of thought that is clear, accurate, precise and interesting.

Writing up your literature review

As with essays generally, only attempt to write up the literature review when you have completed all the reading and note-taking, and carefully planned its content and structure. Find an appropriate way of introducing the review, then guide the reader through the material clearly and directly, bearing in mind the following:

Be selective in the number of points you draw out from each piece of literature; remember that one of your objectives is to demonstrate that you can use your judgement to identify what is central and what is secondary.
Summarise and synthesise – use your own words to sum up what you think is important or controversial about the book or article.
Never claim more than the evidence will support. Too many dissertations and theses are let down by sweeping generalisations. Be tentative and careful in the way you interpret the evidence.
Keep your own voice – you are entitled to your own point of view provided it is based on evidence and clear argument.
At the same time, aim to project an objective and tentative tone by using the 3rd person, (for example, ‘this tends to suggest’, ‘it could be argued’ and so on).
Even with a literature review you should avoid using too many, or overlong, quotes. Summarise material in your own words as much as possible. Save the quotes for ‘punch-lines’ to drive a particular point home.
Revise, revise, revise: refine and edit the draft as much as you can. Check for fluency, structure, evidence, criticality and referencing, and don’t forget the basics of good grammar, punctuation and spelling.

How Many Words is a University Dissertation?

In University by Think Student Editor April 18, 2021 Leave a Comment

Nations that use a British academic system require a body of work to be produced during the end of an ‘undergraduate’ or ‘masters degree’. The contents of a dissertation are used to help determine your final grade at the end of your degree.

A dissertation will also test your abilities to research and create work in response to a topic explored independently – overall, it can showcase the skills you’ve acquired during your time at university. So, how should you approach your dissertation?

The dissertation word count for most university programmes is between 15,000 and 20,000 words, however, these can alternate significantly solely based upon the course and what university you are attending. Whilst this can be used as a guide, dissertation lengths will depend on the subject you are researching and the depth that the subject area can be explored to you should aim to contain as much detail and research as possible. To reach your word count, you should make sure that your work is divided into around 4-5 chapters, including a clear introduction to your topic and a conclusion to round up the contents of what you’ve written.

Now that you’re familiar with the word count and structure of a dissertation, you may be considering what topic you’d like to explore. Read on further for some tips and ideas to help strengthen your piece.

Table of Contents

How can you choose a dissertation topic?

The first thing you need to do when writing a dissertation is to choose a topic. By becoming familiar with your topic or question area it will allow your researching and writing to flow effortlessly. When you choose your topic there are a few factors you will need to consider, such as:

Your department’s requirements.
Your areas of interest and pre-existing knowledge.
The relevance (social, scientific and practical).
Availability of resources to research.
Your time schedule.

It’s vastly important to stick to the requirements of your module for your dissertation. Whilst some programmes may have stricter requirements, for example: providing you with a restricted list of topics and questions to consider, other programmes may have just provided you with a deadline and word count.

Before delving into a niche field of research, it will help to choose a broader field that you know of, researching into it and choosing something within that to focus upon . For example:( The broad area is ‘Economic History’, you will narrow it down to ‘European Economic History’.

You could also make this even more in-depth by focusing upon one place in Europe and their personal assets.) It is important to choose a small area, that is still large enough to have lots of resources like books, websites and alternate research to build a case around.

How do you create an interesting dissertation?

Choosing a topic for your dissertation can be difficult but some key factors will give you the ability to navigate around your subject area and narrow your ideas down. Once you have an idea it’s important to follow certain patterns and rules to make your work interesting. To start with, you should select a topic that you find interesting , that is also unique and different.

Once you have a topic you are passionate about, you’ll find that your motivation to complete the work will be increased. By choosing a unique research topic, it allows you to develop your original ideas and opinions which will make your dissertation more enjoyable to read.

Another major importance to deliver an interesting dissertation is to do your research . Delve deeper into the subject and don’t just include surface-level information. Research your question and topic areas before you begin writing to ensure it can not be answered with a simple ‘yes’ or ‘no’ as this will make you struggle with reaching your word count.

You may also want to change the methods that you’re using to write up your dissertation. If you’re typing, try switching to handwriting some ideas. A change in the presentation of your work may help to get your ideas flowing again. Don’t be afraid to use your resources to plan and edit work.

During writing, one of the most important tips to create a high standard piece of academic work is to not be too vague or narrow during your explanations. This links in with the importance of research and thorough planning before you commit to a topic area, you want something that can be explored in-depth and have many different viewpoints and subcategories that you can include.

Each sentence and paragraph that you write should be a contribution to the overall piece. Depending on the topic you’ve chosen, it should aim to either, answer your question, contribute to your research or strengthen both or one side of an argument.

What should you do if you’re struggling with your dissertation?

When writing your dissertation, you’re bound to hit a point where you struggle with writing- be that in the beginning, middle or end, you’re not alone in the difficulties of this assignment. Many students that are required to write a dissertation will hit difficulties but still manage to complete and triumph with their writing.

Whilst you can research and deepen your ideas through reading other pieces and articles, there are also other ways to get over your writer’s block, such as taking time out to focus upon yourself and creating a work plan on when to add and study your dissertation.

Having a plan and a schedule allows you to separate your education and home life so that you’re not engulfed in the pressures and stress of turning in your work on time.

There are many websites and resources online that can help you create and plan your time to help boost motivation and mood. If you’re needing help with time management, check out this useful website . Alternatively, if you’re looking for a template on how to create a study schedule, press here.

For example, you could use post notes and flashcards for small snippets of information you might want to include later, write down any thoughts in rough notes, ensuring you won’t forget.

You can also draw, create mind maps and plans, colour coordinate any ideas you want to research and write about. Making your work seem ‘fun’ will boost your motivation to work significantly and will help you get back to writing.

If you struggle to connect or make contact with other students for whatever reason, there are resources online that are easily accessible, for example, ‘The Student Room’ which creates a platform for other young people to chat and ask each other questions. Also, make sure to check out any other articles on ‘Think Student’ .

The last thing that you can do is to contact your mentor or course tutor for their advice. Don’t be afraid to ask for help, as they aren’t there to punish you, they will help you get back on track and guide you to a good piece of work.

What can you do if you fail your dissertation?

Once you have submitted your dissertation, it will be sent to be marked and evaluated. The pass mark for your piece of work is 50%, as with all modules and academic work. However, if under any circumstances your dissertation doesn’t reach the pass mark, you will be given an opportunity to revisit your work and resubmit a new, updated version.

Despite your opportunity to resubmit your dissertation, there are a few significant implications that will affect you. As resubmission occurs during the end of the programme you’re studying, if you’re a student studying in the UK with a Visa then this may impact you and cause a few problems.

If this applies to you, whether you are working on your dissertation or have already submitted it, make sure to contact your supervisor/tutors to explore your options and possible issues beforehand.

Alternatively, if you are studying without a Visa and there are no other possible issues regarding your educational background, resubmission could still have an impact on you.

Resubmitting will mean that your university graduation will be delayed – unless an improved version can be submitted very quickly. With all resubmissions, the highest mark that you can achieve for the new dissertation is 50%.

Remember – if you have fallen behind, work out if there is anything that can be worked out to get you caught up, if not the deadline may be able to be adapted to give more work time. It’s important to remember that your tutors and university want you to succeed , meaning they’ll do anything that is in their power to help you.

Advice for new dissertation writers.

After reading this article, I hope that you have clarity over the subject of dissertations. They can be tricky to approach and to achieve the grade you’re aiming for, but with a clear topic, confidence and managing your time appropriately you will be able to create a great piece of work .

Whilst you should still remain aware of deadlines and word counts, you should make your key focus upon writing about a topic you are passionate about, wording your dissertation in a clear, easy to read way. Write and research a piece that you would enjoy reading yourself, if you’re not happy with and passionate about the subject you have chosen it will show within your work.

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How Many Words is a Dissertation?

Date published July 11 2020 by Barbara Neil

During my last year of Master’s program, I heard from my professors and seniors’ dissertation is the most challenging assignment and risk if done wrong. After listening to these comments about the dissertation, I got too scared.

Something as simple as having 15000 words of dissertation wrong is the worst nightmare which can put your career and years of hard work in vain. So, I probably do not want this to happen. After hearing a lot about the dissertation, I finally settle down with a pen and paper.

How “Dissertation Proposal” Can Help You!

Our top dissertation writing experts are waiting 24/7 to assist you with your university project, from critical literature reviews to a complete masters dissertation.

Got myself work up with the internet, laptop and my fingers (for typing), dig all the stuff that can make up a perfect dissertation writing and can instantly impress my supervisor. Dealing with dissertation myself, I got to know many tips and tricks about how to complete full-length research writing.

The common question most of the undergraduate ask about dissertation is how many words is a dissertation.

I would say probably 12000-15000 words but the figure might change as per your University or supervisor is a concern.

So, How Many Words Is A Dissertation….

Why do you need to know the word count of a dissertation? When I first started off my dissertation I wasn’t aware of how much to write in each heading and this mistake led me without words.

Each chapter has its own specific word count and it needs to be followed religiously so that you may not run out of words again.

Therefore, let’s divide each word count according to the chapters and their headings.

Start With 1000 words of introduction

The first chapter starts with an introduction to your dissertation writing. The introductory section is subdivided into the scope of the research, research question etc. Though the 1000 words carried for an introduction may vary according to the title and how much essential background you have gathered.

Next Comes The 3000 words literature review

A literature review is the heart of a dissertation, and it contains 30% of the weightage. The word count calculated might vary from 3000 words to 4000 words, you will have to address the conceptual framework and have to give a critical perspective. The literature review helps to support the existing knowledge relevant to the topic ideas you choose from.

Adding On 2000 words of methodology

Chapter 3 consist of the method at which all your research question and problem statement will get an answer. You must tell how the data will be gathered and what method is necessary to adopt while collecting answers to our research question. The word count may vary to 1500 to 2000 words or more if possible. There are multiple questions you must answer when writing your methodology, such as what alternative you could have taken, how you will select the samples etc.

Only 4000 words of finding and results

Well, the finding and result section do not contain a lot of words and the weightage of the section is approximately 5% in the average dissertation words. The reason is, the findings and results cover half of the charts and graphs showing the summarized data. However, the findings and results are mostly divided into separate sections. Hence, the weightage of results IS 30% of the dissertation. The word count of the results section is calculated around 3000, you will have to write a complete overview of the summary of results conducted.

Lastly, 2000 words of Conclusion and Recommendation

In some cases, the conclusion and recommendation may carry 1000-word however, it is most probably 2000 words each. In those words, you need to sum up all the important points and summarize the main idea. The conclusion should answer, does your research covers the problem stated in the first chapter and how did you overcome the problem.

How Long is the Dissertation?

When we ask about how much is the average dissertation length nobody knows the exact answer. Even when I was crafting my dissertation I did not know how long is the dissertation going to be, probably 149 pages or 150 or only 100. So, the answer to this question is, is that it depends upon what area you are writing your dissertation, for instance, the domain you choose appears to be different when writing the dissertation. Sometimes, what you see is not exactly what it looks like in a dissertation. It may look longer at first but when you write and construct fully you get to know the more area or pages are covered by References, appendix, tables of content, figures, page breaks or white spacing these all contribute to higher page length.

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How A Postgraduate Student Chooses An Average Dissertation Length?

As described above the ideal range of a dissertation depends upon the topic of research but also some other factors that contribute to the average dissertation length.

An average length of the thesis should be 15 to 25 pages, if you go beyond 25 that is considered a better as the material that will be presented should be appropriate but just remember credibility is important.

An average length of the dissertation in chapter 2 should be almost 8 to 10 pages long. The chapter 2 explores the existing research and previous studies to help support the methodology section in the next chapter.

The planning of your research should be 15 to 20 pages long, this is because you need to give an idea to the readers what you did and how you did it.

The readers in chapter 4 will understand and will get to know what you find out and all the results of your study is presented here. So, the chapter length should be approximately 6-7 pages long.

This chapter include all the summary of what you have already done for the past 15 months. And the it is submitted in only 6 to 8 pages after working hard.

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Final Verdict

Dissertation writing is not written in one sitting; you need to work for many months just to form a piece of research, crafting paragraph and coming to the conclusion. Just be calm, be patient and stay confident in your work. Only then you can achieve a successful dissertation despite its word limit.

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COMMENTS

How to write an undergraduate university dissertation
The length of an undergraduate dissertation can vary depending on the specific guidelines provided by your university and your subject department. However, in many cases, undergraduate dissertations are typically about 8,000 to 12,000 words in length.
How long is a dissertation?
An undergraduate dissertation is typically 8,000-15,000 words. A master's dissertation is typically 12,000-50,000 words. A PhD thesis is typically book-length: 70,000-100,000 words. However, none of these are strict guidelines - your word count may be lower or higher than the numbers stated here. Always check the guidelines provided ...
What Is a Dissertation?
A dissertation is a long-form piece of academic writing based on original research conducted by you. It is usually submitted as the final step in order to finish a PhD program. Your dissertation is probably the longest piece of writing you've ever completed. It requires solid research, writing, and analysis skills, and it can be intimidating ...
What Is a Dissertation?
An undergraduate dissertation is typically 8,000-15,000 words; A master's dissertation is typically 12,000-50,000 words; A PhD thesis is typically book-length: 70,000-100,000 words; However, none of these are strict guidelines - your word count may be lower or higher than the numbers stated here. Always check the guidelines provided ...
How to Write a Dissertation
Acknowledgements. The acknowledgements section is usually optional, and gives space for you to thank everyone who helped you in writing your dissertation. This might include your supervisors, participants in your research, and friends or family who supported you. Abstract. The abstract is a short summary of your dissertation, usually about 150-300 words long.
Dissertation Structure & Layout 101 (+ Examples)
Time to recap…. And there you have it - the traditional dissertation structure and layout, from A-Z. To recap, the core structure for a dissertation or thesis is (typically) as follows: Title page. Acknowledgments page. Abstract (or executive summary) Table of contents, list of figures and tables.
What is a Dissertation? Undergrad, Masters & PhD (2024)
A dissertation is a long written piece of academic research completed as part of a university degree. The dissertation will be the longest thing you write at university. It might be anywhere from: Shortest: 5000 words long (a baby undergraduate dissertation), up to. Longest: 100,000 words (a PhD dissertation in the social sciences).
Dissertations 1: Getting Started: Starting Your Dissertation
Typically, a dissertation will enable you to present your findings in response to a question that you propose yourself. It is probably the longest piece of academic work you will produce. At undergraduate level, word count requirements can range anywhere from 5,000 to 8,000 words while a Masters level dissertation can be 10,000 to 15,000 words ...
How Many Words In A Dissertation? [A Word Count Guide]
The university where you are enrolled sets the dissertation word limit, and the length of a master's dissertation may differ from that of a doctoral dissertation or an undergraduate dissertation. Most dissertations have a word count of between 10,000 and 15,000 words, however some can exceed 30,000 words.
Is There A Word Limit For Dissertations?
Undergraduate dissertations typically fall within the range of 8,000-15,000 words, while Master's dissertations can range from 12,000-50,000 words. PhD theses, on the other hand, are often considered book-length, with expectations hovering around 70,000-100,000 words. ... Writing a 10,000-word dissertation in 2 days is theoretically possible ...
How Long is a Dissertation
An undergraduate dissertation usually falls within the range of 8,000 to 15,000 words, while a master's dissertation typically spans from 12,000 to 50,000 words. In contrast, a PhD thesis is typically of book length, ranging from 70,000 to 100,000 words. Let's unravel the mystery of how long should a dissertation be.
What is an Undergraduate Dissertation?
How does Undergraduate Dissertation differ from Postgraduate Dissertation? The bachelor's dissertation varies significantly from postgraduate dissertations. First, it is considerably shorter in length, averaging only 10,000 - 15,000 words.
Dissertations 1: Getting Started: Writing A Proposal
The research proposal should present the dissertation topic, justify your reasons for choosing it and outline how you are going to research it. You'll have to keep it brief, as word counts can vary from anywhere between 800 to 3,000 words at undergraduate, postgraduate and doctoral levels.
Writing a dissertation
A dissertation is not your life's work, even a 100,000 word PhD thesis is nowhere near everything that you will ever be able to say on a topic. One of the secrets to a successful dissertation is knowing how to limit the scope of the project so that you maintain control and keep your research focused. Consider, for example, a dissertation on cats.
How long is a dissertation?
An undergraduate dissertation is typically 8,000-15,000 words. A master's dissertation is typically 12,000-50,000 words. A PhD thesis is typically book-length: 70,000-100,000 words. However, none of these are strict guidelines - your word count may be lower or higher than the numbers stated here. Always check the guidelines provided ...
How to write a dissertation
Undergraduate dissertations and theses for master's degrees aren't routinely available in libraries, ... You'll have a good idea how many words you can write comfortably in a day, so take that figure, divide it and work backwards. If you can do 1000 words (many people work with a much lower number!) and your dissertation is 10,000 words ...
Dissertations
An undergraduate dissertation can range from between 5,000 to 12,00 words depending on your discipline and your other modules. Structure - There are some components that will be present in every dissertation, and others will vary depending on the discipline or word count. A dissertation is typically structured by major chapters and other ...
Ten things I wish I'd known before starting my dissertation
4) Do not ask friends how much work they've done. You'll end up paranoid - or they will. Either way, you don't have time for it. 5) There will be one day during the process when you will freak ...
Writing a Literature Review
This will depend on the length of the dissertation, the nature of the subject, and the level of study (undergraduate, Masters, PhD). As a very rough rule of thumb - you may choose 8-10 significant pieces (books and/or articles) for an 8,000 word dissertation, up to 20 major pieces of work for 12-15,000 words, and so on.
What is the minimum number of words for your thesis in your ...
For my masters (languages), the minimum was 16,000 and the maximum 24,000. For my PhD (languages), my minimum is 80,000 and my maximum is 100,000. It's fairly standard for my discipline I think, though I might be wrong! In my first year I'm expected to write ~20k words for a literature review, so I suppose that's helpful in some respects ...
How Many Words is a University Dissertation?
The dissertation word count for most university programmes is between 15,000 and 20,000 words, however, these can alternate significantly solely based upon the course and what university you are attending. Whilst this can be used as a guide, dissertation lengths will depend on the subject you are researching and the depth that the subject area ...
A Complete Guide Of How Many Words is a Dissertation? [UK]
Dealing with dissertation myself, I got to know many tips and tricks about how to complete full-length research writing. The common question most of the undergraduate ask about dissertation is how many words is a dissertation. I would say probably 12000-15000 words but the figure might change as per your University or supervisor is a concern.
How many words are dissertations?
10000-15000 depending on the university/faculty. It varies from uni to uni and course to course but I'd say about 15,000. I'd say 12,000 on average but I know people who have had 10,000, 15,000 and as little as 5,000 or 3,000 word dissertations. Your friend may have finished it in a day but that may have just been the writing side, there is no ...

How to write an undergraduate university dissertation

Grace McCabe

10 tips for writing an undergraduate dissertation

What is a dissertation?

How do I select a dissertation topic?

How to work with your dissertation supervisor?

How do I plan my dissertation?

How to structure a dissertation?

How long is an undergraduate dissertation?

How do I add references to my dissertation?

How do I write a bibliography or list my references for my dissertation?

How to proofread an undergraduate dissertation?

How to write a conclusion for my dissertation?

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What is a Dissertation? Undergrad, Masters & PhD

Difference between a Dissertation and Thesis

What is a Dissertation Supervisor?

The 3 Levels of Dissertation

Honors or Undergraduate Dissertation

Masters Dissertation

PhD Dissertation

What is the Structure of a Dissertation?

1. Introduction (10%)

2. Literature Review (15 – 25%)

3. Theoretical Framework (15 – 25%)

4. Methodology (15 – 25%)

5. Results (10%)

6. Analysis (15 – 25%)

7. Conclusion (10%)

How to Conduct a Research Study for a Dissertation

An Example: Laura’s Undergraduate Dissertation

How to Get Started

Leave a Comment Cancel Reply

How Many Words In A Dissertation? [A Word Count Guide]

What Is A Dissertation?

Introduction: 1000 Words

Literature Review: 3000 Words

Research Methodology: 1500 Words

Results: 500 Words

Analysis/Discussion: 3000 Words

Conclusion And Suggestions: 1000 Words

References Section

Final Thoughts

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