explain the steps in a research dissertation

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 .

*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.

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?

Table of contents

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 are the steps in writing a dissertation?

December 11, 2019

The doctoral dissertation is the crowning achievement of your PhD program and an accomplishment of which you can be very proud. It’s also a significant undertaking. For any large project like this, understanding the steps and sequence can help reduce some of the anxiety you may be feeling about writing a dissertation.

Curtis Brant, PhD, Dean of Research & Scholarship at Capella University, provides details of the primary steps required to complete a dissertation. 

Generally, a dissertation will have five chapters:

• An outline of the full background of your study
• A comprehensive literature review supporting your research
• A discussion of your choice of research design, data collection and analysis, and details of the research steps
• The actual data analyses and results, and
• The final evaluation and interpretation of your results.

As you progress through your program, each of the steps described below is designed to help you make concrete progress on your dissertation in smaller, manageable chunks. 

Step 1: Project Ideation.

 In your coursework, you will learn a great deal about the theories and practices central to your field of study. You will gain broad exposure to the field to help you to start thinking about a topic of inquiry for your project. You will also learn more about research ethics and methodologies so that in the next phase you will be ready to formally develop your project proposal. 

Step 2: Project Development.

Next, you will narrow down your choice of topics and begin to build the detailed format of your project. In this step, you will develop a detailed research plan that outlines the theoretical basis for your research, the questions you hope to answer, a research methodology, and proposed data analyses. In creating such a detailed research plan, you will also be developing much of the content for the first three chapters of your dissertation. You will submit your plan for approval to faculty to help prepare you for the next phase of completing your actual research. 

Step 3: Project Implementation.

 This step begins with submitting your study for approval from the Institutional Review Board (IRB). The IRB will review your project to ensure it meets the standards for ethical research. Once you get IRB approval, you can start to gather the data that you will analyze in the next step. During this step, you will also write and synthesize much of the content for the remaining chapters of your dissertation.

Step 4: Project Conclusion.

In this step you will complete your data collection and analyze the results. You will also finish writing the final two chapters of your dissertation in which you summarize your findings and connect your findings back to the questions and theories you discussed in earlier chapters. Prior to submitting your final dissertation for approval by your faculty review and edit it to ensure synthesis of all the content.

Step 5: University Approvals.

In the final step of completing your dissertation, you will submit your project for final format editing and approval from your faculty. 

Whatever step you’re on, one of the key factors to success is time management. Every step requires considerable work. Breaking down each step (as Capella does) is a good approach, as is diligently scheduling time every week to continue working. It may feel overwhelming to contemplate the entire process at once, but bundling it into smaller goals helps it become less daunting.

What’s more, as you progress through the steps of your project, your hard work will begin to pay off as you see the prospect of earning your PhD become a reality. Knowing that you’re contributing knowledge to your chosen field can be rewarding. It’s hard work but it’s followed by an immense feeling of satisfaction when you reach the end.

Capella University offers PhD and professional doctoral degree programs ranging from business to education and health to technology. Learn more about our online PhD programs .

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The Dissertation Process Explained in 6 Simple Steps

Completing your doctoral program is no easy feat, yet the payoff makes it all worthwhile. You’ll challenge yourself with academic rigor and defend your thesis as you showcase your knowledge to a panel of experts.

One of the hardest parts of the dissertation process is simply getting started. Here are six steps to guide you to successfully earning your doctoral degree by tackling your dissertation, from start to finish.

Step 1: Brainstorm Topics

Finding a research topic that’s right for you and your doctoral studies requires some serious thought. A doctoral program can take years to complete, so it’s important you choose a topic that you’re passionate about. Whether that’s in the field of education administration or entrepreneurship, find an area of study that suits your academic interests and career goals. 

As a doctoral candidate, you’ll take on the role of an independent researcher, which means you’ll be facilitating your own studies and academic milestones. Choose a topic that gets your wheels turning and stirs up an urgent sense of curiosity. However, take note that not every idea will suit a doctoral dissertation and the manuscript formatting. Many students make the mistake of choosing a topic that is too broad. Doctoral dissertations must be researchable and demonstrative based on qualitative or quantitative data. 

Do some preliminary research to determine if someone has already conducted similar research. Being flexible with your brainstorming will allow you to refine your topic with ease. Take constructive criticism from peers and mentors seriously so that you set yourself up for success from day one. If you find yourself feeling a bit lost, don’t be afraid to turn to experts in your field for their opinion. At this initial stage of the dissertation process, you should be the most open to exploring new ideas and refining your area of research.

Step 2: Find a Faculty Mentor and Committee Assignment

Once your topic is approved by the university, you’ll be tasked with selecting a faculty mentor. Finding a faculty chairperson is one of the most important steps you will take in your dissertation process , apart from crafting and delivering your manuscript. After all, your mentor will guide your academic work over the course of your doctoral studies for the next several years. You two will develop a working relationship, so it’s crucial that you choose a mentor you can collaborate and communicate with effectively.

At most universities, your faculty chair will be dedicated to the dissertation process full time. That means they will have the skills, expertise and time to support all of your needs. However, for the other members of your dissertation committee, you’ll want to consider logistics as well. You may have a dream faculty mentor you’d appreciate working with, but they must have the time and attention to dedicate to make the investment worthwhile for you both. Be upfront about your intended timeline, weekly and monthly time commitment, and expectations around communication. When you approach a faculty member about serving as part of your dissertation committee, leave the door open for them to say “no,” so you’re sure to find the right fit and someone who can commit in the long run. 

Some universities make the selection process easy by assigning a dissertation chair and committee to you. For example, doctoral students at SNU are assigned a committee comprised of four people: a dissertation chair within the program’s department, a second departmental faculty member, a member from outside the department who has scholarly expertise in the student’s research topic, and the Dissertation Director who coordinates all communication among the committee members.

Step 3: Develop and Submit a Proposal

Think of the proposal as an opportunity for you to both suss out your ideas and create a convincing argument to present to the faculty committee. Your proposal is the first look at your thesis statement, where you:

• Introduce the topic
• Pose a set of related topics
• Outline the qualitative and quantitative data you hope to extract through careful research  

Again, be open to critical feedback. During this stage, you have the opportunity to reflect and refine the direction of your research. Faculty members will likely reciprocate your proposal with pointed questions that identify gaps in your proposal development or information-seeking process. 

You’ll go through a set of one or more revisions based on faculty feedback. You’ll then submit your proposal application for final approval. Once you have the entire committee’s approval, you’ll begin to collect data.

Step 4: Conduct Research and Data Analysis

In your proposal, you’ll outline your plan to conduct careful research, collect data and analyze that data. Throughout the research process, refer back to your outline to chart your own progress and to build a collection of measurable results to present to your faculty mentor. 

The next step is to add the data you collect to your proposal in two sections. The first section will summarize the data, and the second will offer an interpretation of that data. This step also lends itself to a series of revisions between you and the dissertation committee. Be prepared to implement those changes as you begin to draft your manuscript .

Step 5: Draft Your Manuscript

First, consult with your university’s policies and procedures regarding the doctoral manuscript academic requirements and scholarly style. Check with your department to inquire about additional departmental procedures. 

Consider Your Format 

Develop a consistent format in the early stages, so that submitting your thesis to the Advisory Committee and Examining Committee will run smoothly and you can receive swift feedback. You want to create both a professional and intuitive system for the academic committee and your general audience to be able to easily peruse your thesis. 

Pay close attention to proper sourcing of previously published content and provide a numbering system (page numbers and charts) that reflects the formatting of your thesis, not the numbering system of a previous publication. Devise chapter layout with the same level of scrutiny. Number chapters sequentially, and create a uniform system to label all charts, tables and equations. And last but not least, be sure to follow standard grammatical conventions, including spelling and punctuation. 

Cite Your Sources

As you gather research and develop your manuscript, you must cite your sources accurately and consistently. Check with your department ahead of time in case you should be formatting your resources according to specific departmental standards. In the absence of departmental standards, create a format of your own that you can adhere to with consistency. Most doctoral candidates will choose to include sources at the end of each chapter or in one single list at the end of their dissertation. 

Craft Your Content

You’ll spend the bulk of your time crafting the content of the manuscript itself . You’ll  begin by summarizing relevant sourcing and reviewing related literature. The purpose of this first section is to establish your expertise in the field, establish clear objectives for your research, identify the broader context within which the research resides, and provide more acute context for the data itself. You’ll then discuss the methods of analyzing the research before transitioning into data analysis in a chapter-by-chapter breakdown. Finally, in your conclusion, you’ll link your direct research to the larger picture and the implications of its impact in your field.

Step 6: Defend Your Thesis

The pinnacle of your research will be defending your thesis in front of a panel of experts — the dissertation committee. Sometimes this takes place in person, or, as has proved increasingly common during the past year, by video/voice conferencing. 

This is your opportunity to demonstrate all that you have learned over multiple years of careful research and analysis. The committee will pose questions to both clarify and challenge your level of knowledge in an impromptu fashion. In some cases, based on the committee’s perception, you may need to submit a secondary oral defense. Ultimately, the committee will determine a successful delivery of your dissertation and the chance to proudly assert your doctoral status after completing all degree requirements. 

No matter which path you choose to pursue en route to your doctoral, online and in-person education options can make your dream of completing your degree one step closer to reality. Take a look at SNU’s online and on-campus course offerings today.

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A Step-By-Step Guide to Write the Perfect Dissertation

“A dissertation or a thesis is a long piece of academic writing based on comprehensive research.”

The significance of dissertation writing in the world of academia is unparalleled. A good dissertation paper needs months of research and marks the end of your respected academic journey. It is considered the most effective form of writing in academia and perhaps the longest piece of academic writing you will ever have to complete.

This thorough step-by-step guide on how to write a dissertation will serve as a tool to help you with the task at hand, whether you are an undergraduate student or a Masters or PhD student working on your dissertation project. This guide provides detailed information about how to write the different chapters of a dissertation, such as a problem statement , conceptual framework , introduction , literature review, methodology , discussion , findings , conclusion , title page , acknowledgements , etc.

What is a Dissertation? – Definition

Before we list the stages of writing a dissertation, we should look at what a dissertation is.

The Cambridge dictionary states that a dissertation is a long piece of writing on a particular subject, especially one that is done to receive a degree at college or university, but that is just the tip of the iceberg because a dissertation project has a lot more meaning and context.

To understand a dissertation’s definition, one must have the capability to understand what an essay is. A dissertation is like an extended essay that includes research and information at a much deeper level. Despite the few similarities, there are many differences between an essay and a dissertation.

Another term that people confuse with a dissertation is a thesis. Let's look at the differences between the two terms.

What is the Difference Between a Dissertation and a Thesis?

Dissertation and thesis are used interchangeably worldwide (and may vary between universities and regions), but the key difference is when they are completed. The thesis is a project that marks the end of a degree program, whereas the dissertation project can occur during the degree. Hanno Krieger (Researchgate, 2014) explained the difference between a dissertation and a thesis as follows:

“Thesis is the written form of research work to claim an academic degree, like PhD thesis, postgraduate thesis, and undergraduate thesis. On the other hand, a dissertation is only another expression of the written research work, similar to an essay. So the thesis is the more general expression.

In the end, it does not matter whether it is a bachelor's, master or PhD dissertation one is working on because the structure and the steps of conducting research are pretty much identical. However, doctoral-level dissertation papers are much more complicated and detailed.

Problems Students Face When Writing a Dissertation

You can expect to encounter some troubles if you don’t yet know the steps to write a dissertation. Even the smartest students are overwhelmed by the complexity of writing a dissertation.

A dissertation project is different from any essay paper you have ever committed to because of the details of planning, research and writing it involves. One can expect rewarding results at the end of the process if the correct guidelines are followed. Still, as indicated previously, there will be multiple challenges to deal with before reaching that milestone.

The three most significant problems students face when working on a dissertation project are the following.

Poor Project Planning

Delaying to start working on the dissertation project is the most common problem. Students think they have sufficient time to complete the paper and are finding ways to write a dissertation in a week, delaying the start to the point where they start stressing out about the looming deadline. When the planning is poor, students are always looking for ways to write their dissertations in the last few days. Although it is possible, it does have effects on the quality of the paper.

Inadequate Research Skills

The writing process becomes a huge problem if one has the required academic research experience. Professional dissertation writing goes well beyond collecting a few relevant reference resources.

You need to do both primary and secondary research for your paper. Depending on the dissertation’s topic and the academic qualification you are a candidate for, you may be required to base your dissertation paper on primary research.

In addition to secondary data, you will also need to collect data from the specified participants and test the hypothesis . The practice of primary collection is time-consuming since all the data must be analysed in detail before results can be withdrawn.

Failure to Meet the Strict Academic Writing Standards

Research is a crucial business everywhere. Failure to follow the language, style, structure, and formatting guidelines provided by your department or institution when writing the dissertation paper can worsen matters. It is recommended to read the dissertation handbook before starting the write-up thoroughly.

Steps of Writing a Dissertation

For those stressing out about developing an extensive paper capable of filling a gap in research whilst adding value to the existing academic literature—conducting exhaustive research and analysis—and professionally using the knowledge gained throughout their degree program, there is still good news in all the chaos.

We have put together a guide that will show you how to start your dissertation and complete it carefully from one stage to the next.

Find an Interesting and Manageable Dissertation Topic

A clearly defined topic is a prerequisite for any successful independent research project. An engaging yet manageable research topic can produce an original piece of research that results in a higher academic score.

Unlike essays or assignments, when working on their thesis or dissertation project, students get to choose their topic of research.

You should follow the tips to choose the correct topic for your research to avoid problems later. Your chosen dissertation topic should be narrow enough, allowing you to collect the required secondary and primary data relatively quickly.

Understandably, many people take a lot of time to search for the topic, and a significant amount of research time is spent on it. You should talk to your supervisor or check out the intriguing database of ResearchProspect’s free topics for your dissertation.

Alternatively, consider reading newspapers, academic journals, articles, course materials, and other media to identify relevant issues to your study area and find some inspiration to get going.

You should work closely with your supervisor to agree to a narrowed but clear research plan.Here is what Michelle Schneider, learning adviser at the University of Leeds, had to say about picking the research topics,

“Picking something you’re genuinely interested in will keep you motivated. Consider why it’s important to tackle your chosen topic," Michelle added.

Develop a First-Class Dissertation Proposal.

Once the research topic has been selected, you can develop a solid dissertation proposal . The research proposal allows you to convince your supervisor or the committee members of the significance of your dissertation.

Through the proposal, you will be expected to prove that your work will significantly value the academic and scientific communities by addressing complex and provocative research questions .

Dissertation proposals are much shorter but follow a similar structure to an extensive dissertation paper. If the proposal is optional in your university, you should still create one outline of the critical points that the actual dissertation paper will cover. To get a better understanding of dissertation proposals, you can also check the publicly available samples of dissertation proposals .

Typical contents of the dissertation paper are as follows;

• A brief rationale for the problem your dissertation paper will investigate.
• The hypothesis you will be testing.
• Research objectives you wish to address.
• How will you contribute to the knowledge of the scientific and academic community?
• How will you find answers to the critical research question(s)?
• What research approach will you adopt?
• What kind of population of interest would you like to generalise your result(s) to (especially in the case of quantitative research)?
• What sampling technique(s) would you employ, and why would you not use other methods?
• What ethical considerations have you taken to gather data?
• Who are the stakeholders in your research are/might be?
• What are the future implications and limitations you see in your research?

Let’s review the structure of the dissertation. Keep the format of your proposal simple. Keeping it simple keeps your readers will remain engaged. The following are the fundamental focal points that must be included:

Title of your dissertation: Dissertation titles should be 12 words in length. The focus of your research should be identifiable from your research topic.

Research aim: The overall purpose of your study should be clearly stated in terms of the broad statements of the desired outcomes in the Research aim. Try and paint the picture of your research, emphasising what you wish to achieve as a researcher.

Research objectives: The key research questions you wish to address as part of the project should be listed. Narrow down the focus of your research and aim for at most four objectives. Your research objectives should be linked with the aim of the study or a hypothesis.

Literature review: Consult with your supervisor to check if you are required to use any specific academic sources as part of the literature review process. If that is not the case, find out the most relevant theories, journals, books, schools of thought, and publications that will be used to construct arguments in your literature research.Remember that the literature review is all about giving credit to other authors’ works on a similar topic

Research methods and techniques: Depending on your dissertation topic, you might be required to conduct empirical research to satisfy the study’s objectives. Empirical research uses primary data such as questionnaires, interview data, and surveys to collect.

On the other hand, if your dissertation is based on secondary (non-empirical) data, you can stick to the existing literature in your area of study. Clearly state the merits of your chosen research methods under the methodology section.

Expected results: As you explore the research topic and analyse the data in the previously published papers, you will begin to build your expectations around the study’s potential outcomes. List those expectations here.

Project timeline: Let the readers know exactly how you plan to complete all the dissertation project parts within the timeframe allowed. You should learn more about Microsoft Project and Gantt Charts to create easy-to-follow and high-level project timelines and schedules.

References: The academic sources used to gather information for the proposed paper will be listed under this section using the appropriate referencing style. Ask your supervisor which referencing style you are supposed to follow.

The proposals we write have:

• Precision and Clarity
• Zero Plagiarism
• High-level Encryption
• Authentic Sources

Investigation, Research and Data Collection

This is the most critical stage of the dissertation writing process. One should use up-to-date and relevant academic sources that are likely to jeopardise hard work.

Finding relevant and highly authentic reference resources is the key to succeeding in the dissertation project, so it is advised to take your time with this process. Here are some of the things that should be considered when conducting research.

dissertation project, so it is advised to take your time with this process. Here are some of the things that should be considered when conducting research.

You cannot read everything related to your topic. Although the practice of reading as much material as possible during this stage is rewarding, it is also imperative to understand that it is impossible to read everything that concerns your research.

This is true, especially for undergraduate and master’s level dissertations that must be delivered within a specific timeframe. So, it is important to know when to stop! Once the previous research and the associated limitations are well understood, it is time to move on.

However, review at least the salient research and work done in your area. By salient, we mean research done by pioneers of your field. For instance, if your topic relates to linguistics and you haven’t familiarised yourself with relevant research conducted by, say, Chomsky (the father of linguistics), your readers may find your lack of knowledge disconcerting.

So, to come off as genuinely knowledgeable in your own field, at least don’t forget to read essential works in the field/topic!

Use an Authentic Research database to Find References.

Most students start the reference material-finding process with desk-based research. However, this research method has its own limitation because it is a well-known fact that the internet is full of bogus information and fake information spreads fasters on the internet than truth does .

So, it is important to pick your reference material from reliable resources such as Google Scholar , Researchgate, Ibibio and Bartleby . Wikipedia is not considered a reliable academic source in the academic world, so it is recommended to refrain from citing Wikipedia content.Never underrate the importance of the actual library. The supporting staff at a university library can be of great help when it comes to finding exciting and reliable publications.

Record as you learn

All information and impressions should be recorded as notes using online tools such as Evernote to make sure everything is clear. You want to retain an important piece of information you had planned to present as an argument in the dissertation paper.

Write a Flawless Dissertation

Start to write a fantastic dissertation immediately once your proposal has been accepted and all the necessary desk-based research has been conducted. Now we will look at the different chapters of a dissertation in detail. You can also check out the samples of dissertation chapters to fully understand the format and structures of the various chapters.

Dissertation Introduction Chapter

The introduction chapter of the dissertation paper provides the background, problem statement and research questions. Here, you will inform the readers why it was important for this research to be conducted and which key research question(s) you expect to answer at the end of the study.

Definitions of all the terms and phrases in the project are provided in this first chapter of the dissertation paper. The research aim and objectives remain unchanged from the proposal paper and are expected to be listed under this section.

Dissertation Literature Review Chapter

This chapter allows you to demonstrate to your readers that you have done sufficient research on the chosen topic and understand previous similar studies’ findings. Any research limitations that your research incorporates are expected to be discussed in this section.

And make sure to summarise the viewpoints and findings of other researchers in the dissertation literature review chapter. Show the readers that there is a research gap in the existing work and your job is relevant to it to justify your research value.

Dissertation Methodology

The methodology chapter of the dissertation provides insight into the methods employed to collect data from various resources and flows naturally from the literature review chapter.Simply put, you will be expected to explain what you did and how you did it, helping the readers understand that your research is valid and reliable. When writing the methodology chapter for the dissertation, make sure to emphasise the following points:

• The type of research performed by the researcher
• Methods employed to gather and filter information
• Techniques that were chosen for analysis
• Materials, tools and resources used to conduct research (typically for empirical research dissertations)
• Limitations of your chosen methods
• Reliability and validity of your measuring tools and instruments (e.g. a survey questionnaire) are also typically mentioned within the mythology section. If you used a pre-existing data collection tool, cite its reliability/validity estimates here, too.Make use of the past tense when writing the methodology chapter.

Dissertation Findings

The key results of your research are presented in the dissertation findings chapter . It gives authors the ability to validate their own intellectual and analytical skills

Dissertation Conclusion

Cap off your dissertation paper with a study summary and a brief report of the findings. In the concluding chapter , you will be expected to demonstrate how your research will provide value to other academics in your area of study and its implications.It is recommended to include a short ‘recommendations’ section that will elaborate on the purpose and need for future research to elucidate the topic further.

Follow the referencing style following the requirements of your academic degree or field of study. Make sure to list every academic source used with a proper in-text citation. It is important to give credit to other authors’ ideas and concepts.

Note: Keep in mind whether you are creating a reference list or a bibliography. The former includes information about all the various sources you referred to, read from or took inspiration from for your own study. However, the latter contains things you used and those you only read but didn’t cite in your dissertation.

Proofread, Edit and Improve – Don’t Risk Months of Hard Work.

Experts recommend completing the total dissertation before starting to proofread and edit your work. You need to refresh your focus and reboot your creative brain before returning to another critical stage.

Leave space of at least a few days between the writing and the editing steps so when you get back to the desk, you can recognise your grammar, spelling and factual errors when you get back to the desk.

It is crucial to consider this period to ensure the final work is polished, coherent, well-structured and free of any structural or factual flaws. Daniel Higginbotham from Prospects UK states that:

“Leave yourself sufficient time to engage with your writing at several levels – from reassessing the logic of the whole piece to proofreading to checking you’ve paid attention to aspects such as the correct spelling of names and theories and the required referencing format.”

What is the Difference Between Editing and Proofreading?

Editing means that you are focusing on the essence of your dissertation paper. In contrast, proofreading is the process of reviewing the final draft piece to ensure accuracy and consistency in formatting, spelling, facts, punctuation, and grammar.

Editing: Prepare your work for submission by condensing, correcting and modifying (where necessary). When reviewing the paper, make sure that there are coherence and consistency between the arguments you presented.

If an information gap has been identified, fill that with an appropriate piece of information gathered during the research process. It is easy to lose sight of the original purpose if you become over-involved when writing.

Cut out the unwanted text and refine it, so your paper’s content is to the point and concise.Proofreading: Start proofreading your paper to identify formatting, structural, grammar, punctuation and referencing flaws. Read every single sentence of the paper no matter how tired you are because a few puerile mistakes can compromise your months of hard work.

Many students struggle with the editing and proofreading stages due to their lack of attention to detail. Consult a skilled dissertation editor if you are unable to find your flaws. You may want to invest in a professional dissertation editing and proofreading service to improve the piece’s quality to First Class.

Tips for Writing a Dissertation

Communication with supervisor – get feedback.

Communicate regularly with your supervisor to produce a first-class dissertation paper. Request them to comprehensively review the contents of your dissertation paper before final submission.

Their constructive criticism and feedback concerning different study areas will help you improve your piece’s overall quality. Keep your supervisor updated about your research progress and discuss any problems that you come up against.

Organising your Time

A dissertation is a lengthy project spanning over a period of months to years, and therefore it is important to avoid procrastination. Stay focused, and manage your time efficiently. Here are some time management tips for writing your dissertation to help you make the most of your time as you research and write.

• Don’t be discouraged by the inherently slow nature of dissertation work, particularly in the initial stages.
• Set clear goals and work out your research and write up a plan accordingly.
• Allow sufficient time to incorporate feedback from your supervisor.
• Leave enough time for editing, improving, proofreading, and formatting the paper according to your school’s guidelines. This is where you break or make your grade.
• Work a certain number of hours on your paper daily.
• Create a worksheet for your week.
• Work on your dissertation for time periods as brief as 45 minutes or less.
• Stick to the strategic dissertation timeline, so you don’t have to do the catchup work.
• Meet your goals by prioritising your dissertation work.
• Strike a balance between being overly organised and needing to be more organised.
• Limit activities other than dissertation writing and your most necessary obligations.
• Keep ‘tangent’ and ‘for the book’ files.
• Create lists to help you manage your tasks.
• Have ‘filler’ tasks to do when you feel burned out or in need of intellectual rest.
• Keep a dissertation journal.
• Pretend that you are working in a more structured work world.
• Limit your usage of email and personal electronic devices.
• Utilise and build on your past work when you write your dissertation.
• Break large tasks into small manageable ones.
• Seek advice from others, and do not be afraid to ask for help.

Dissertation Examples

Here are some samples of a dissertation to inspire you to write mind-blowing dissertations and to help bring all the above-mentioned guidelines home.

DE MONTFORT University Leicester – Examples of recent dissertations

Dissertation Research in Education: Dissertations (Examples)

How Long is a Dissertation?

The entire dissertation writing process is complicated and spans over a period of months to years, depending on whether you are an undergraduate, master’s, or PhD candidate. Marcus Beck, a PhD candidate, conducted fundamental research a few years ago, research that didn’t have much to do with his research but returned answers to some niggling questions every student has about the average length of a dissertation.

A software program specifically designed for this purpose helped Beck to access the university’s electronic database to uncover facts on dissertation length.

The above illustration shows how the results of his small study were a little unsurprising. Social sciences and humanities disciplines such as anthropology, politics, and literature had the longest dissertations, with some PhD dissertations comprising 150,000 words or more.Engineering and scientific disciplines, on the other hand, were considerably shorter. PhD-level dissertations generally don’t have a predefined length as they will vary with your research topic. Ask your school about this requirement if you are unsure about it from the start.

Focus more on the quality of content rather than the number of pages.

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• Formally drafted in an academic style
• Free Amendments and 100% Plagiarism Free – or your money back!
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Phrases to Avoid

No matter the style or structure you follow, it is best to keep your language simple. Avoid the use of buzzwords and jargon.

A Word on Stealing Content (Plagiarism)

Very straightforward advice to all students, DO NOT PLAGIARISE. Plagiarism is a serious offence. You will be penalised heavily if you are caught plagiarising. Don’t risk years of hard work, as many students in the past have lost their degrees for plagiarising. Here are some tips to help you make sure you don’t get caught.

• Copying and pasting from an academic source is an unforgivable sin. Rephrasing text retrieved from another source also falls under plagiarism; it’s called paraphrasing. Summarising another’s idea(s) word-to-word, paraphrasing, and copy-pasting are the three primary forms plagiarism can take.
• If you must directly copy full sentences from another source because they fill the bill, always enclose them inside quotation marks and acknowledge the writer’s work with in-text citations.

Are you struggling to find inspiration to get going? Still, trying to figure out where to begin? Is the deadline getting closer? Don’t be overwhelmed! ResearchProspect dissertation writing services have helped thousands of students achieve desired outcomes. Click here to get help from writers holding either a master's or PhD degree from a reputed UK university.

Frequently Asked Questions

What does a dissertation include.

A dissertation has main chapters and parts that support them. The main parts are:

• Introduction
• Literature review
• Research Methodology
• Your conclusion

Other parts are the abstract, references, appendices etc. We can supply a full dissertation or specific parts of one.

What is the difference between research and a dissertation?

A research paper is a sort of academic writing that consists of the study, source assessment, critical thinking, organisation, and composition, as opposed to a thesis or dissertation, which is a lengthy academic document that often serves as the final project for a university degree.

Can I edit and proofread my dissertation myself?

Of course, you can do proofreading and editing of your dissertation. There are certain rules to follow that have been discussed above. However, finding mistakes in something that you have written yourself can be complicated for some people. It is advisable to take professional help in the matter.

What If I only have difficulty writing a specific chapter of the dissertation?

ResearchProspect ensures customer satisfaction by addressing all relevant issues. We provide dissertation chapter-writing services to students if they need help completing a specific chapter. It could be any chapter from the introduction, literature review, and methodology to the discussion and conclusion.

You May Also Like

Are you looking for intriguing and trending dissertation topics? Get inspired by our list of free dissertation topics on all subjects.

Looking for an easy guide to follow to write your essay? Here is our detailed essay guide explaining how to write an essay and examples and types of an essay.

Learn about the steps required to successfully complete their research project. Make sure to follow these steps in their respective order.

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Research Design | Step-by-Step Guide with Examples

Published on 5 May 2022 by Shona McCombes . Revised on 20 March 2023.

A research design is a strategy for answering your research question  using empirical data. Creating a research design means making decisions about:

• Your overall aims and approach
• The type of research design you’ll use
• Your sampling methods or criteria for selecting subjects
• Your data collection methods
• The procedures you’ll follow to collect data
• Your data analysis methods

A well-planned research design helps ensure that your methods match your research aims and that you use the right kind of analysis for your data.

Table of contents

Step 1: consider your aims and approach, step 2: choose a type of research design, step 3: identify your population and sampling method, step 4: choose your data collection methods, step 5: plan your data collection procedures, step 6: decide on your data analysis strategies, frequently asked questions.

• Introduction

Before you can start designing your research, you should already have a clear idea of the research question you want to investigate.

There are many different ways you could go about answering this question. Your research design choices should be driven by your aims and priorities – start by thinking carefully about what you want to achieve.

The first choice you need to make is whether you’ll take a qualitative or quantitative approach.

Qualitative research designs tend to be more flexible and inductive , allowing you to adjust your approach based on what you find throughout the research process.

Quantitative research designs tend to be more fixed and deductive , with variables and hypotheses clearly defined in advance of data collection.

It’s also possible to use a mixed methods design that integrates aspects of both approaches. By combining qualitative and quantitative insights, you can gain a more complete picture of the problem you’re studying and strengthen the credibility of your conclusions.

Practical and ethical considerations when designing research

As well as scientific considerations, you need to think practically when designing your research. If your research involves people or animals, you also need to consider research ethics .

• How much time do you have to collect data and write up the research?
• Will you be able to gain access to the data you need (e.g., by travelling to a specific location or contacting specific people)?
• Do you have the necessary research skills (e.g., statistical analysis or interview techniques)?
• Will you need ethical approval ?

At each stage of the research design process, make sure that your choices are practically feasible.

Prevent plagiarism, run a free check.

Within both qualitative and quantitative approaches, there are several types of research design to choose from. Each type provides a framework for the overall shape of your research.

Types of quantitative research designs

Quantitative designs can be split into four main types. Experimental and   quasi-experimental designs allow you to test cause-and-effect relationships, while descriptive and correlational designs allow you to measure variables and describe relationships between them.

With descriptive and correlational designs, you can get a clear picture of characteristics, trends, and relationships as they exist in the real world. However, you can’t draw conclusions about cause and effect (because correlation doesn’t imply causation ).

Experiments are the strongest way to test cause-and-effect relationships without the risk of other variables influencing the results. However, their controlled conditions may not always reflect how things work in the real world. They’re often also more difficult and expensive to implement.

Types of qualitative research designs

Qualitative designs are less strictly defined. This approach is about gaining a rich, detailed understanding of a specific context or phenomenon, and you can often be more creative and flexible in designing your research.

The table below shows some common types of qualitative design. They often have similar approaches in terms of data collection, but focus on different aspects when analysing the data.

Your research design should clearly define who or what your research will focus on, and how you’ll go about choosing your participants or subjects.

In research, a population is the entire group that you want to draw conclusions about, while a sample is the smaller group of individuals you’ll actually collect data from.

Defining the population

A population can be made up of anything you want to study – plants, animals, organisations, texts, countries, etc. In the social sciences, it most often refers to a group of people.

For example, will you focus on people from a specific demographic, region, or background? Are you interested in people with a certain job or medical condition, or users of a particular product?

The more precisely you define your population, the easier it will be to gather a representative sample.

Sampling methods

Even with a narrowly defined population, it’s rarely possible to collect data from every individual. Instead, you’ll collect data from a sample.

To select a sample, there are two main approaches: probability sampling and non-probability sampling . The sampling method you use affects how confidently you can generalise your results to the population as a whole.

Probability sampling is the most statistically valid option, but it’s often difficult to achieve unless you’re dealing with a very small and accessible population.

For practical reasons, many studies use non-probability sampling, but it’s important to be aware of the limitations and carefully consider potential biases. You should always make an effort to gather a sample that’s as representative as possible of the population.

Case selection in qualitative research

In some types of qualitative designs, sampling may not be relevant.

For example, in an ethnography or a case study, your aim is to deeply understand a specific context, not to generalise to a population. Instead of sampling, you may simply aim to collect as much data as possible about the context you are studying.

In these types of design, you still have to carefully consider your choice of case or community. You should have a clear rationale for why this particular case is suitable for answering your research question.

For example, you might choose a case study that reveals an unusual or neglected aspect of your research problem, or you might choose several very similar or very different cases in order to compare them.

Data collection methods are ways of directly measuring variables and gathering information. They allow you to gain first-hand knowledge and original insights into your research problem.

You can choose just one data collection method, or use several methods in the same study.

Survey methods

Surveys allow you to collect data about opinions, behaviours, experiences, and characteristics by asking people directly. There are two main survey methods to choose from: questionnaires and interviews.

Observation methods

Observations allow you to collect data unobtrusively, observing characteristics, behaviours, or social interactions without relying on self-reporting.

Observations may be conducted in real time, taking notes as you observe, or you might make audiovisual recordings for later analysis. They can be qualitative or quantitative.

Other methods of data collection

There are many other ways you might collect data depending on your field and topic.

If you’re not sure which methods will work best for your research design, try reading some papers in your field to see what data collection methods they used.

Secondary data

If you don’t have the time or resources to collect data from the population you’re interested in, you can also choose to use secondary data that other researchers already collected – for example, datasets from government surveys or previous studies on your topic.

With this raw data, you can do your own analysis to answer new research questions that weren’t addressed by the original study.

Using secondary data can expand the scope of your research, as you may be able to access much larger and more varied samples than you could collect yourself.

However, it also means you don’t have any control over which variables to measure or how to measure them, so the conclusions you can draw may be limited.

As well as deciding on your methods, you need to plan exactly how you’ll use these methods to collect data that’s consistent, accurate, and unbiased.

Planning systematic procedures is especially important in quantitative research, where you need to precisely define your variables and ensure your measurements are reliable and valid.

Operationalisation

Some variables, like height or age, are easily measured. But often you’ll be dealing with more abstract concepts, like satisfaction, anxiety, or competence. Operationalisation means turning these fuzzy ideas into measurable indicators.

If you’re using observations , which events or actions will you count?

If you’re using surveys , which questions will you ask and what range of responses will be offered?

You may also choose to use or adapt existing materials designed to measure the concept you’re interested in – for example, questionnaires or inventories whose reliability and validity has already been established.

Reliability and validity

Reliability means your results can be consistently reproduced , while validity means that you’re actually measuring the concept you’re interested in.

For valid and reliable results, your measurement materials should be thoroughly researched and carefully designed. Plan your procedures to make sure you carry out the same steps in the same way for each participant.

If you’re developing a new questionnaire or other instrument to measure a specific concept, running a pilot study allows you to check its validity and reliability in advance.

Sampling procedures

As well as choosing an appropriate sampling method, you need a concrete plan for how you’ll actually contact and recruit your selected sample.

That means making decisions about things like:

• How many participants do you need for an adequate sample size?
• What inclusion and exclusion criteria will you use to identify eligible participants?
• How will you contact your sample – by mail, online, by phone, or in person?

If you’re using a probability sampling method, it’s important that everyone who is randomly selected actually participates in the study. How will you ensure a high response rate?

If you’re using a non-probability method, how will you avoid bias and ensure a representative sample?

Data management

It’s also important to create a data management plan for organising and storing your data.

Will you need to transcribe interviews or perform data entry for observations? You should anonymise and safeguard any sensitive data, and make sure it’s backed up regularly.

Keeping your data well organised will save time when it comes to analysing them. It can also help other researchers validate and add to your findings.

On their own, raw data can’t answer your research question. The last step of designing your research is planning how you’ll analyse the data.

Quantitative data analysis

In quantitative research, you’ll most likely use some form of statistical analysis . With statistics, you can summarise your sample data, make estimates, and test hypotheses.

Using descriptive statistics , you can summarise your sample data in terms of:

• The distribution of the data (e.g., the frequency of each score on a test)
• The central tendency of the data (e.g., the mean to describe the average score)
• The variability of the data (e.g., the standard deviation to describe how spread out the scores are)

The specific calculations you can do depend on the level of measurement of your variables.

Using inferential statistics , you can:

• Make estimates about the population based on your sample data.
• Test hypotheses about a relationship between variables.

Regression and correlation tests look for associations between two or more variables, while comparison tests (such as t tests and ANOVAs ) look for differences in the outcomes of different groups.

Your choice of statistical test depends on various aspects of your research design, including the types of variables you’re dealing with and the distribution of your data.

Qualitative data analysis

In qualitative research, your data will usually be very dense with information and ideas. Instead of summing it up in numbers, you’ll need to comb through the data in detail, interpret its meanings, identify patterns, and extract the parts that are most relevant to your research question.

Two of the most common approaches to doing this are thematic analysis and discourse analysis .

There are many other ways of analysing qualitative data depending on the aims of your research. To get a sense of potential approaches, try reading some qualitative research papers in your field.

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.

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.

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.

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Shona McCombes

PhD Student Wins Research Award for Work on Aging in 3-Minute Thesis Competition

Can you explain your thesis in just three minutes, in a way that anyone can grasp?

Christi Lero, a doctoral student in social work at the Brown School, did just that, delivering the winning presentation at the  Three-Minute Thesis (3MT) Competition , earning the 2024 Mark S. Wrighton Award on Aging. 

Organized by the Harvey A. Friedman Center for Aging, the 3MT competition challenges PhD students to present their research in a concise and accessible way for a diverse audience. The Mark S. Wrighton Research Award recognizes doctoral students who show outstanding promise as researchers on topics relevant to older adults and aging society.

On March 6, in a captivating display of succinct scholarship, Lero presented her dissertation, titled “Using Self-Compassion to Enhance Wellbeing of Caregivers of People with Neurodegenerative Disease,” impressing a panel of judges from various fields.

“Winning this competition and award is an honor and certainly motivates me to continue doing research in a meaningful and accessible way,” Lero said. “Competitions like 3MT and awards like the Mark S. Wrighton Research Award on Aging are platforms for budding researchers to share their work but also practice talking about complicated things in an accessible way.”

Lero’s success was no happenstance; it was a product of thorough preparation. When asked about her approach, she attributed her triumph to rehearsing, refining, and even reaching out to a stranger.

“Practice, practice, practice!” she remarked of her readiness plan. “I am very fortunate to have the most supportive spouse, friends, and mentors who listened to my speech and helped me revise. There is even a kind student worker in the Brown School library that volunteered three minutes of their time and gave some feedback.” 

Lero’s dissertation research focuses on using self-compassion as a mechanism to help caregivers maintain well-being during and after caregiving.

She explained: “Caregivers of people with diseases like ALS, Huntington’s, and dementia dedicate years of their lives to making sure their loved ones receive care that is respectful and dignified, but that means sacrificing quite a lot of their time, energy, resources, and selves.”

Recognizing the collaborative nature of her scientific work, Lero expressed gratitude to the caregivers who shared their experiences with her.

“Science is a team sport and great work isn’t done alone,” she said. “I am so grateful for all the support I have received, and especially for all the caregivers who have let me walk beside them in their most difficult times. Any recognition I receive reflects the dedication and care I have witnessed from them.” 

Lero’s thesis advisor is Nancy Morrow-Howell, the Betty Bofinger Brown Distinguished Professor of Social Policy. Lero, an NIH T32 Predoctoral Fellow, will be honored at the  Annual Friedman Lecture and Awards  on April 5, where she will discuss her research in more detail.

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Thesis – Structure, Example and Writing Guide

Table of contents.

Definition:

Thesis is a scholarly document that presents a student’s original research and findings on a particular topic or question. It is usually written as a requirement for a graduate degree program and is intended to demonstrate the student’s mastery of the subject matter and their ability to conduct independent research.

History of Thesis

The concept of a thesis can be traced back to ancient Greece, where it was used as a way for students to demonstrate their knowledge of a particular subject. However, the modern form of the thesis as a scholarly document used to earn a degree is a relatively recent development.

The origin of the modern thesis can be traced back to medieval universities in Europe. During this time, students were required to present a “disputation” in which they would defend a particular thesis in front of their peers and faculty members. These disputations served as a way to demonstrate the student’s mastery of the subject matter and were often the final requirement for earning a degree.

In the 17th century, the concept of the thesis was formalized further with the creation of the modern research university. Students were now required to complete a research project and present their findings in a written document, which would serve as the basis for their degree.

The modern thesis as we know it today has evolved over time, with different disciplines and institutions adopting their own standards and formats. However, the basic elements of a thesis – original research, a clear research question, a thorough review of the literature, and a well-argued conclusion – remain the same.

Structure of Thesis

The structure of a thesis may vary slightly depending on the specific requirements of the institution, department, or field of study, but generally, it follows a specific format.

Here’s a breakdown of the structure of a thesis:

This is the first page of the thesis that includes the title of the thesis, the name of the author, the name of the institution, the department, the date, and any other relevant information required by the institution.

This is a brief summary of the thesis that provides an overview of the research question, methodology, findings, and conclusions.

This page provides a list of all the chapters and sections in the thesis and their page numbers.

Introduction

This chapter provides an overview of the research question, the context of the research, and the purpose of the study. The introduction should also outline the methodology and the scope of the research.

Literature Review

This chapter provides a critical analysis of the relevant literature on the research topic. It should demonstrate the gap in the existing knowledge and justify the need for the research.

Methodology

This chapter provides a detailed description of the research methods used to gather and analyze data. It should explain the research design, the sampling method, data collection techniques, and data analysis procedures.

This chapter presents the findings of the research. It should include tables, graphs, and charts to illustrate the results.

This chapter interprets the results and relates them to the research question. It should explain the significance of the findings and their implications for the research topic.

This chapter summarizes the key findings and the main conclusions of the research. It should also provide recommendations for future research.

This section provides a list of all the sources cited in the thesis. The citation style may vary depending on the requirements of the institution or the field of study.

This section includes any additional material that supports the research, such as raw data, survey questionnaires, or other relevant documents.

How to write Thesis

Here are some steps to help you write a thesis:

• Choose a Topic: The first step in writing a thesis is to choose a topic that interests you and is relevant to your field of study. You should also consider the scope of the topic and the availability of resources for research.
• Develop a Research Question: Once you have chosen a topic, you need to develop a research question that you will answer in your thesis. The research question should be specific, clear, and feasible.
• Conduct a Literature Review: Before you start your research, you need to conduct a literature review to identify the existing knowledge and gaps in the field. This will help you refine your research question and develop a research methodology.
• Develop a Research Methodology: Once you have refined your research question, you need to develop a research methodology that includes the research design, data collection methods, and data analysis procedures.
• Collect and Analyze Data: After developing your research methodology, you need to collect and analyze data. This may involve conducting surveys, interviews, experiments, or analyzing existing data.
• Write the Thesis: Once you have analyzed the data, you need to write the thesis. The thesis should follow a specific structure that includes an introduction, literature review, methodology, results, discussion, conclusion, and references.
• Edit and Proofread: After completing the thesis, you need to edit and proofread it carefully. You should also have someone else review it to ensure that it is clear, concise, and free of errors.
• Submit the Thesis: Finally, you need to submit the thesis to your academic advisor or committee for review and evaluation.

Example of Thesis

Example of Thesis template for Students:

Title of Thesis

Table of Contents:

Chapter 1: Introduction

Chapter 2: Literature Review

Chapter 3: Research Methodology

Chapter 4: Results

Chapter 5: Discussion

Chapter 6: Conclusion

References:

Appendices:

Note: That’s just a basic template, but it should give you an idea of the structure and content that a typical thesis might include. Be sure to consult with your department or supervisor for any specific formatting requirements they may have. Good luck with your thesis!

Application of Thesis

Thesis is an important academic document that serves several purposes. Here are some of the applications of thesis:

• Academic Requirement: A thesis is a requirement for many academic programs, especially at the graduate level. It is an essential component of the evaluation process and demonstrates the student’s ability to conduct original research and contribute to the knowledge in their field.
• Career Advancement: A thesis can also help in career advancement. Employers often value candidates who have completed a thesis as it demonstrates their research skills, critical thinking abilities, and their dedication to their field of study.
• Publication : A thesis can serve as a basis for future publications in academic journals, books, or conference proceedings. It provides the researcher with an opportunity to present their research to a wider audience and contribute to the body of knowledge in their field.
• Personal Development: Writing a thesis is a challenging task that requires time, dedication, and perseverance. It provides the student with an opportunity to develop critical thinking, research, and writing skills that are essential for their personal and professional development.
• Impact on Society: The findings of a thesis can have an impact on society by addressing important issues, providing insights into complex problems, and contributing to the development of policies and practices.

Purpose of Thesis

The purpose of a thesis is to present original research findings in a clear and organized manner. It is a formal document that demonstrates a student’s ability to conduct independent research and contribute to the knowledge in their field of study. The primary purposes of a thesis are:

• To Contribute to Knowledge: The main purpose of a thesis is to contribute to the knowledge in a particular field of study. By conducting original research and presenting their findings, the student adds new insights and perspectives to the existing body of knowledge.
• To Demonstrate Research Skills: A thesis is an opportunity for the student to demonstrate their research skills. This includes the ability to formulate a research question, design a research methodology, collect and analyze data, and draw conclusions based on their findings.
• To Develop Critical Thinking: Writing a thesis requires critical thinking and analysis. The student must evaluate existing literature and identify gaps in the field, as well as develop and defend their own ideas.
• To Provide Evidence of Competence : A thesis provides evidence of the student’s competence in their field of study. It demonstrates their ability to apply theoretical concepts to real-world problems, and their ability to communicate their ideas effectively.
• To Facilitate Career Advancement : Completing a thesis can help the student advance their career by demonstrating their research skills and dedication to their field of study. It can also provide a basis for future publications, presentations, or research projects.

When to Write Thesis

The timing for writing a thesis depends on the specific requirements of the academic program or institution. In most cases, the opportunity to write a thesis is typically offered at the graduate level, but there may be exceptions.

Generally, students should plan to write their thesis during the final year of their graduate program. This allows sufficient time for conducting research, analyzing data, and writing the thesis. It is important to start planning the thesis early and to identify a research topic and research advisor as soon as possible.

In some cases, students may be able to write a thesis as part of an undergraduate program or as an independent research project outside of an academic program. In such cases, it is important to consult with faculty advisors or mentors to ensure that the research is appropriately designed and executed.

It is important to note that the process of writing a thesis can be time-consuming and requires a significant amount of effort and dedication. It is important to plan accordingly and to allocate sufficient time for conducting research, analyzing data, and writing the thesis.

Characteristics of Thesis

The characteristics of a thesis vary depending on the specific academic program or institution. However, some general characteristics of a thesis include:

• Originality : A thesis should present original research findings or insights. It should demonstrate the student’s ability to conduct independent research and contribute to the knowledge in their field of study.
• Clarity : A thesis should be clear and concise. It should present the research question, methodology, findings, and conclusions in a logical and organized manner. It should also be well-written, with proper grammar, spelling, and punctuation.
• Research-Based: A thesis should be based on rigorous research, which involves collecting and analyzing data from various sources. The research should be well-designed, with appropriate research methods and techniques.
• Evidence-Based : A thesis should be based on evidence, which means that all claims made in the thesis should be supported by data or literature. The evidence should be properly cited using appropriate citation styles.
• Critical Thinking: A thesis should demonstrate the student’s ability to critically analyze and evaluate information. It should present the student’s own ideas and arguments, and engage with existing literature in the field.
• Academic Style : A thesis should adhere to the conventions of academic writing. It should be well-structured, with clear headings and subheadings, and should use appropriate academic language.

Advantages of Thesis

There are several advantages to writing a thesis, including:

• Development of Research Skills: Writing a thesis requires extensive research and analytical skills. It helps to develop the student’s research skills, including the ability to formulate research questions, design and execute research methodologies, collect and analyze data, and draw conclusions based on their findings.
• Contribution to Knowledge: Writing a thesis provides an opportunity for the student to contribute to the knowledge in their field of study. By conducting original research, they can add new insights and perspectives to the existing body of knowledge.
• Preparation for Future Research: Completing a thesis prepares the student for future research projects. It provides them with the necessary skills to design and execute research methodologies, analyze data, and draw conclusions based on their findings.
• Career Advancement: Writing a thesis can help to advance the student’s career. It demonstrates their research skills and dedication to their field of study, and provides a basis for future publications, presentations, or research projects.
• Personal Growth: Completing a thesis can be a challenging and rewarding experience. It requires dedication, hard work, and perseverance. It can help the student to develop self-confidence, independence, and a sense of accomplishment.

Limitations of Thesis

There are also some limitations to writing a thesis, including:

• Time and Resources: Writing a thesis requires a significant amount of time and resources. It can be a time-consuming and expensive process, as it may involve conducting original research, analyzing data, and producing a lengthy document.
• Narrow Focus: A thesis is typically focused on a specific research question or topic, which may limit the student’s exposure to other areas within their field of study.
• Limited Audience: A thesis is usually only read by a small number of people, such as the student’s thesis advisor and committee members. This limits the potential impact of the research findings.
• Lack of Real-World Application : Some thesis topics may be highly theoretical or academic in nature, which may limit their practical application in the real world.
• Pressure and Stress : Writing a thesis can be a stressful and pressure-filled experience, as it may involve meeting strict deadlines, conducting original research, and producing a high-quality document.
• Potential for Isolation: Writing a thesis can be a solitary experience, as the student may spend a significant amount of time working independently on their research and writing.

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• What Is a Research Design | Types, Guide & Examples

What Is a Research Design | Types, Guide & Examples

Published on June 7, 2021 by Shona McCombes . Revised on November 20, 2023 by Pritha Bhandari.

A research design is a strategy for answering your   research question  using empirical data. Creating a research design means making decisions about:

• Your overall research objectives and approach
• Whether you’ll rely on primary research or secondary research
• Your sampling methods or criteria for selecting subjects
• Your data collection methods
• The procedures you’ll follow to collect data
• Your data analysis methods

A well-planned research design helps ensure that your methods match your research objectives and that you use the right kind of analysis for your data.

Table of contents

Step 1: consider your aims and approach, step 2: choose a type of research design, step 3: identify your population and sampling method, step 4: choose your data collection methods, step 5: plan your data collection procedures, step 6: decide on your data analysis strategies, other interesting articles, frequently asked questions about research design.

• Introduction

Before you can start designing your research, you should already have a clear idea of the research question you want to investigate.

There are many different ways you could go about answering this question. Your research design choices should be driven by your aims and priorities—start by thinking carefully about what you want to achieve.

The first choice you need to make is whether you’ll take a qualitative or quantitative approach.

Qualitative research designs tend to be more flexible and inductive , allowing you to adjust your approach based on what you find throughout the research process.

Quantitative research designs tend to be more fixed and deductive , with variables and hypotheses clearly defined in advance of data collection.

It’s also possible to use a mixed-methods design that integrates aspects of both approaches. By combining qualitative and quantitative insights, you can gain a more complete picture of the problem you’re studying and strengthen the credibility of your conclusions.

Practical and ethical considerations when designing research

As well as scientific considerations, you need to think practically when designing your research. If your research involves people or animals, you also need to consider research ethics .

• How much time do you have to collect data and write up the research?
• Will you be able to gain access to the data you need (e.g., by travelling to a specific location or contacting specific people)?
• Do you have the necessary research skills (e.g., statistical analysis or interview techniques)?
• Will you need ethical approval ?

At each stage of the research design process, make sure that your choices are practically feasible.

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Within both qualitative and quantitative approaches, there are several types of research design to choose from. Each type provides a framework for the overall shape of your research.

Types of quantitative research designs

Quantitative designs can be split into four main types.

• Experimental and   quasi-experimental designs allow you to test cause-and-effect relationships
• Descriptive and correlational designs allow you to measure variables and describe relationships between them.

With descriptive and correlational designs, you can get a clear picture of characteristics, trends and relationships as they exist in the real world. However, you can’t draw conclusions about cause and effect (because correlation doesn’t imply causation ).

Experiments are the strongest way to test cause-and-effect relationships without the risk of other variables influencing the results. However, their controlled conditions may not always reflect how things work in the real world. They’re often also more difficult and expensive to implement.

Types of qualitative research designs

Qualitative designs are less strictly defined. This approach is about gaining a rich, detailed understanding of a specific context or phenomenon, and you can often be more creative and flexible in designing your research.

The table below shows some common types of qualitative design. They often have similar approaches in terms of data collection, but focus on different aspects when analyzing the data.

Your research design should clearly define who or what your research will focus on, and how you’ll go about choosing your participants or subjects.

In research, a population is the entire group that you want to draw conclusions about, while a sample is the smaller group of individuals you’ll actually collect data from.

Defining the population

A population can be made up of anything you want to study—plants, animals, organizations, texts, countries, etc. In the social sciences, it most often refers to a group of people.

For example, will you focus on people from a specific demographic, region or background? Are you interested in people with a certain job or medical condition, or users of a particular product?

The more precisely you define your population, the easier it will be to gather a representative sample.

• Sampling methods

Even with a narrowly defined population, it’s rarely possible to collect data from every individual. Instead, you’ll collect data from a sample.

To select a sample, there are two main approaches: probability sampling and non-probability sampling . The sampling method you use affects how confidently you can generalize your results to the population as a whole.

Probability sampling is the most statistically valid option, but it’s often difficult to achieve unless you’re dealing with a very small and accessible population.

For practical reasons, many studies use non-probability sampling, but it’s important to be aware of the limitations and carefully consider potential biases. You should always make an effort to gather a sample that’s as representative as possible of the population.

Case selection in qualitative research

In some types of qualitative designs, sampling may not be relevant.

For example, in an ethnography or a case study , your aim is to deeply understand a specific context, not to generalize to a population. Instead of sampling, you may simply aim to collect as much data as possible about the context you are studying.

In these types of design, you still have to carefully consider your choice of case or community. You should have a clear rationale for why this particular case is suitable for answering your research question .

For example, you might choose a case study that reveals an unusual or neglected aspect of your research problem, or you might choose several very similar or very different cases in order to compare them.

Data collection methods are ways of directly measuring variables and gathering information. They allow you to gain first-hand knowledge and original insights into your research problem.

You can choose just one data collection method, or use several methods in the same study.

Survey methods

Surveys allow you to collect data about opinions, behaviors, experiences, and characteristics by asking people directly. There are two main survey methods to choose from: questionnaires and interviews .

Observation methods

Observational studies allow you to collect data unobtrusively, observing characteristics, behaviors or social interactions without relying on self-reporting.

Observations may be conducted in real time, taking notes as you observe, or you might make audiovisual recordings for later analysis. They can be qualitative or quantitative.

Other methods of data collection

There are many other ways you might collect data depending on your field and topic.

If you’re not sure which methods will work best for your research design, try reading some papers in your field to see what kinds of data collection methods they used.

Secondary data

If you don’t have the time or resources to collect data from the population you’re interested in, you can also choose to use secondary data that other researchers already collected—for example, datasets from government surveys or previous studies on your topic.

With this raw data, you can do your own analysis to answer new research questions that weren’t addressed by the original study.

Using secondary data can expand the scope of your research, as you may be able to access much larger and more varied samples than you could collect yourself.

However, it also means you don’t have any control over which variables to measure or how to measure them, so the conclusions you can draw may be limited.

As well as deciding on your methods, you need to plan exactly how you’ll use these methods to collect data that’s consistent, accurate, and unbiased.

Planning systematic procedures is especially important in quantitative research, where you need to precisely define your variables and ensure your measurements are high in reliability and validity.

Operationalization

Some variables, like height or age, are easily measured. But often you’ll be dealing with more abstract concepts, like satisfaction, anxiety, or competence. Operationalization means turning these fuzzy ideas into measurable indicators.

If you’re using observations , which events or actions will you count?

If you’re using surveys , which questions will you ask and what range of responses will be offered?

You may also choose to use or adapt existing materials designed to measure the concept you’re interested in—for example, questionnaires or inventories whose reliability and validity has already been established.

Reliability and validity

Reliability means your results can be consistently reproduced, while validity means that you’re actually measuring the concept you’re interested in.

For valid and reliable results, your measurement materials should be thoroughly researched and carefully designed. Plan your procedures to make sure you carry out the same steps in the same way for each participant.

If you’re developing a new questionnaire or other instrument to measure a specific concept, running a pilot study allows you to check its validity and reliability in advance.

Sampling procedures

As well as choosing an appropriate sampling method , you need a concrete plan for how you’ll actually contact and recruit your selected sample.

That means making decisions about things like:

• How many participants do you need for an adequate sample size?
• What inclusion and exclusion criteria will you use to identify eligible participants?
• How will you contact your sample—by mail, online, by phone, or in person?

If you’re using a probability sampling method , it’s important that everyone who is randomly selected actually participates in the study. How will you ensure a high response rate?

If you’re using a non-probability method , how will you avoid research bias and ensure a representative sample?

Data management

It’s also important to create a data management plan for organizing and storing your data.

Will you need to transcribe interviews or perform data entry for observations? You should anonymize and safeguard any sensitive data, and make sure it’s backed up regularly.

Keeping your data well-organized will save time when it comes to analyzing it. It can also help other researchers validate and add to your findings (high replicability ).

On its own, raw data can’t answer your research question. The last step of designing your research is planning how you’ll analyze the data.

Quantitative data analysis

In quantitative research, you’ll most likely use some form of statistical analysis . With statistics, you can summarize your sample data, make estimates, and test hypotheses.

Using descriptive statistics , you can summarize your sample data in terms of:

• The distribution of the data (e.g., the frequency of each score on a test)
• The central tendency of the data (e.g., the mean to describe the average score)
• The variability of the data (e.g., the standard deviation to describe how spread out the scores are)

The specific calculations you can do depend on the level of measurement of your variables.

Using inferential statistics , you can:

• Make estimates about the population based on your sample data.
• Test hypotheses about a relationship between variables.

Regression and correlation tests look for associations between two or more variables, while comparison tests (such as t tests and ANOVAs ) look for differences in the outcomes of different groups.

Your choice of statistical test depends on various aspects of your research design, including the types of variables you’re dealing with and the distribution of your data.

Qualitative data analysis

In qualitative research, your data will usually be very dense with information and ideas. Instead of summing it up in numbers, you’ll need to comb through the data in detail, interpret its meanings, identify patterns, and extract the parts that are most relevant to your research question.

Two of the most common approaches to doing this are thematic analysis and discourse analysis .

There are many other ways of analyzing qualitative data depending on the aims of your research. To get a sense of potential approaches, try reading some qualitative research papers in your field.

If you want to know more about the research process , methodology , research bias , or statistics , make sure to check out some of our other articles with explanations and examples.

• Simple random sampling
• Stratified sampling
• Cluster sampling
• Likert scales
• Reproducibility

 Statistics

• Null hypothesis
• Statistical power
• Probability distribution
• Effect size
• Poisson distribution

Research bias

• Optimism bias
• Cognitive bias
• Implicit bias
• Hawthorne effect
• Anchoring bias
• Explicit bias

A research design is a strategy for answering your   research question . It defines your overall approach and determines how you will collect and analyze data.

A well-planned research design helps ensure that your methods match your research aims, that you collect high-quality data, and that you use the right kind of analysis to answer your questions, utilizing credible sources . This allows you to draw valid , trustworthy conclusions.

Quantitative research designs can be divided into two main categories:

• Correlational and descriptive designs are used to investigate characteristics, averages, trends, and associations between variables.
• Experimental and quasi-experimental designs are used to test causal relationships .

Qualitative research designs tend to be more flexible. Common types of qualitative design include case study , ethnography , and grounded theory designs.

The priorities of a research design can vary depending on the field, but you usually have to specify:

• Your research questions and/or hypotheses
• Your overall approach (e.g., qualitative or quantitative )
• The type of design you’re using (e.g., a survey , experiment , or case study )
• Your data collection methods (e.g., questionnaires , observations)
• Your data collection procedures (e.g., operationalization , timing and data management)
• Your data analysis methods (e.g., statistical tests  or thematic analysis )

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.

In statistics, sampling allows you to test a hypothesis about the characteristics of a population.

Operationalization 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, behavioral avoidance of crowded places, or physical anxiety symptoms in social situations.

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

A research project is an academic, scientific, or professional undertaking to answer a research question . Research projects can take many forms, such as qualitative or quantitative , descriptive , longitudinal , experimental , or correlational . What kind of research approach you choose will depend on your topic.

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