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How To Write A Research Paper

Step-By-Step Tutorial With Examples + FREE Template

By: Derek Jansen (MBA) | Expert Reviewer: Dr Eunice Rautenbach | March 2024

For many students, crafting a strong research paper from scratch can feel like a daunting task – and rightly so! In this post, we’ll unpack what a research paper is, what it needs to do , and how to write one – in three easy steps. 🙂 

Overview: Writing A Research Paper

What (exactly) is a research paper.

• How to write a research paper
• Stage 1 : Topic & literature search
• Stage 2 : Structure & outline
• Stage 3 : Iterative writing
• Key takeaways

Let’s start by asking the most important question, “ What is a research paper? ”.

Simply put, a research paper is a scholarly written work where the writer (that’s you!) answers a specific question (this is called a research question ) through evidence-based arguments . Evidence-based is the keyword here. In other words, a research paper is different from an essay or other writing assignments that draw from the writer’s personal opinions or experiences. With a research paper, it’s all about building your arguments based on evidence (we’ll talk more about that evidence a little later).

Now, it’s worth noting that there are many different types of research papers , including analytical papers (the type I just described), argumentative papers, and interpretative papers. Here, we’ll focus on analytical papers , as these are some of the most common – but if you’re keen to learn about other types of research papers, be sure to check out the rest of the blog .

With that basic foundation laid, let’s get down to business and look at how to write a research paper .

Overview: The 3-Stage Process

While there are, of course, many potential approaches you can take to write a research paper, there are typically three stages to the writing process. So, in this tutorial, we’ll present a straightforward three-step process that we use when working with students at Grad Coach.

These three steps are:

• Finding a research topic and reviewing the existing literature
• Developing a provisional structure and outline for your paper, and
• Writing up your initial draft and then refining it iteratively

Let’s dig into each of these.

Need a helping hand?

Step 1: Find a topic and review the literature

As we mentioned earlier, in a research paper, you, as the researcher, will try to answer a question . More specifically, that’s called a research question , and it sets the direction of your entire paper. What’s important to understand though is that you’ll need to answer that research question with the help of high-quality sources – for example, journal articles, government reports, case studies, and so on. We’ll circle back to this in a minute.

The first stage of the research process is deciding on what your research question will be and then reviewing the existing literature (in other words, past studies and papers) to see what they say about that specific research question. In some cases, your professor may provide you with a predetermined research question (or set of questions). However, in many cases, you’ll need to find your own research question within a certain topic area.

Finding a strong research question hinges on identifying a meaningful research gap – in other words, an area that’s lacking in existing research. There’s a lot to unpack here, so if you wanna learn more, check out the plain-language explainer video below.

Once you’ve figured out which question (or questions) you’ll attempt to answer in your research paper, you’ll need to do a deep dive into the existing literature – this is called a “ literature search ”. Again, there are many ways to go about this, but your most likely starting point will be Google Scholar .

If you’re new to Google Scholar, think of it as Google for the academic world. You can start by simply entering a few different keywords that are relevant to your research question and it will then present a host of articles for you to review. What you want to pay close attention to here is the number of citations for each paper – the more citations a paper has, the more credible it is (generally speaking – there are some exceptions, of course).

Ideally, what you’re looking for are well-cited papers that are highly relevant to your topic. That said, keep in mind that citations are a cumulative metric , so older papers will often have more citations than newer papers – just because they’ve been around for longer. So, don’t fixate on this metric in isolation – relevance and recency are also very important.

Beyond Google Scholar, you’ll also definitely want to check out academic databases and aggregators such as Science Direct, PubMed, JStor and so on. These will often overlap with the results that you find in Google Scholar, but they can also reveal some hidden gems – so, be sure to check them out.

Once you’ve worked your way through all the literature, you’ll want to catalogue all this information in some sort of spreadsheet so that you can easily recall who said what, when and within what context. If you’d like, we’ve got a free literature spreadsheet that helps you do exactly that.

Step 2: Develop a structure and outline

With your research question pinned down and your literature digested and catalogued, it’s time to move on to planning your actual research paper .

It might sound obvious, but it’s really important to have some sort of rough outline in place before you start writing your paper. So often, we see students eagerly rushing into the writing phase, only to land up with a disjointed research paper that rambles on in multiple

Now, the secret here is to not get caught up in the fine details . Realistically, all you need at this stage is a bullet-point list that describes (in broad strokes) what you’ll discuss and in what order. It’s also useful to remember that you’re not glued to this outline – in all likelihood, you’ll chop and change some sections once you start writing, and that’s perfectly okay. What’s important is that you have some sort of roadmap in place from the start.

At this stage you might be wondering, “ But how should I structure my research paper? ”. Well, there’s no one-size-fits-all solution here, but in general, a research paper will consist of a few relatively standardised components:

• Introduction
• Literature review
• Methodology

Let’s take a look at each of these.

First up is the introduction section . As the name suggests, the purpose of the introduction is to set the scene for your research paper. There are usually (at least) four ingredients that go into this section – these are the background to the topic, the research problem and resultant research question , and the justification or rationale. If you’re interested, the video below unpacks the introduction section in more detail. 

The next section of your research paper will typically be your literature review . Remember all that literature you worked through earlier? Well, this is where you’ll present your interpretation of all that content . You’ll do this by writing about recent trends, developments, and arguments within the literature – but more specifically, those that are relevant to your research question . The literature review can oftentimes seem a little daunting, even to seasoned researchers, so be sure to check out our extensive collection of literature review content here .

With the introduction and lit review out of the way, the next section of your paper is the research methodology . In a nutshell, the methodology section should describe to your reader what you did (beyond just reviewing the existing literature) to answer your research question. For example, what data did you collect, how did you collect that data, how did you analyse that data and so on? For each choice, you’ll also need to justify why you chose to do it that way, and what the strengths and weaknesses of your approach were.

Now, it’s worth mentioning that for some research papers, this aspect of the project may be a lot simpler . For example, you may only need to draw on secondary sources (in other words, existing data sets). In some cases, you may just be asked to draw your conclusions from the literature search itself (in other words, there may be no data analysis at all). But, if you are required to collect and analyse data, you’ll need to pay a lot of attention to the methodology section. The video below provides an example of what the methodology section might look like.

By this stage of your paper, you will have explained what your research question is, what the existing literature has to say about that question, and how you analysed additional data to try to answer your question. So, the natural next step is to present your analysis of that data . This section is usually called the “results” or “analysis” section and this is where you’ll showcase your findings.

Depending on your school’s requirements, you may need to present and interpret the data in one section – or you might split the presentation and the interpretation into two sections. In the latter case, your “results” section will just describe the data, and the “discussion” is where you’ll interpret that data and explicitly link your analysis back to your research question. If you’re not sure which approach to take, check in with your professor or take a look at past papers to see what the norms are for your programme.

Alright – once you’ve presented and discussed your results, it’s time to wrap it up . This usually takes the form of the “ conclusion ” section. In the conclusion, you’ll need to highlight the key takeaways from your study and close the loop by explicitly answering your research question. Again, the exact requirements here will vary depending on your programme (and you may not even need a conclusion section at all) – so be sure to check with your professor if you’re unsure.

Step 3: Write and refine

Finally, it’s time to get writing. All too often though, students hit a brick wall right about here… So, how do you avoid this happening to you?

Well, there’s a lot to be said when it comes to writing a research paper (or any sort of academic piece), but we’ll share three practical tips to help you get started.

First and foremost , it’s essential to approach your writing as an iterative process. In other words, you need to start with a really messy first draft and then polish it over multiple rounds of editing. Don’t waste your time trying to write a perfect research paper in one go. Instead, take the pressure off yourself by adopting an iterative approach.

Secondly , it’s important to always lean towards critical writing , rather than descriptive writing. What does this mean? Well, at the simplest level, descriptive writing focuses on the “ what ”, while critical writing digs into the “ so what ” – in other words, the implications. If you’re not familiar with these two types of writing, don’t worry! You can find a plain-language explanation here.

Last but not least, you’ll need to get your referencing right. Specifically, you’ll need to provide credible, correctly formatted citations for the statements you make. We see students making referencing mistakes all the time and it costs them dearly. The good news is that you can easily avoid this by using a simple reference manager . If you don’t have one, check out our video about Mendeley, an easy (and free) reference management tool that you can start using today.

Recap: Key Takeaways

We’ve covered a lot of ground here. To recap, the three steps to writing a high-quality research paper are:

• To choose a research question and review the literature
• To plan your paper structure and draft an outline
• To take an iterative approach to writing, focusing on critical writing and strong referencing

Remember, this is just a b ig-picture overview of the research paper development process and there’s a lot more nuance to unpack. So, be sure to grab a copy of our free research paper template to learn more about how to write a research paper.

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• How to write a research paper

Last updated

11 January 2024

Reviewed by

With proper planning, knowledge, and framework, completing a research paper can be a fulfilling and exciting experience. 

Though it might initially sound slightly intimidating, this guide will help you embrace the challenge. 

By documenting your findings, you can inspire others and make a difference in your field. Here's how you can make your research paper unique and comprehensive.

• What is a research paper?

Research papers allow you to demonstrate your knowledge and understanding of a particular topic. These papers are usually lengthier and more detailed than typical essays, requiring deeper insight into the chosen topic.

To write a research paper, you must first choose a topic that interests you and is relevant to the field of study. Once you’ve selected your topic, gathering as many relevant resources as possible, including books, scholarly articles, credible websites, and other academic materials, is essential. You must then read and analyze these sources, summarizing their key points and identifying gaps in the current research.

You can formulate your ideas and opinions once you thoroughly understand the existing research. To get there might involve conducting original research, gathering data, or analyzing existing data sets. It could also involve presenting an original argument or interpretation of the existing research.

Writing a successful research paper involves presenting your findings clearly and engagingly, which might involve using charts, graphs, or other visual aids to present your data and using concise language to explain your findings. You must also ensure your paper adheres to relevant academic formatting guidelines, including proper citations and references.

Overall, writing a research paper requires a significant amount of time, effort, and attention to detail. However, it is also an enriching experience that allows you to delve deeply into a subject that interests you and contribute to the existing body of knowledge in your chosen field.

• How long should a research paper be?

Research papers are deep dives into a topic. Therefore, they tend to be longer pieces of work than essays or opinion pieces. 

However, a suitable length depends on the complexity of the topic and your level of expertise. For instance, are you a first-year college student or an experienced professional? 

Also, remember that the best research papers provide valuable information for the benefit of others. Therefore, the quality of information matters most, not necessarily the length. Being concise is valuable.

Following these best practice steps will help keep your process simple and productive:

1. Gaining a deep understanding of any expectations

Before diving into your intended topic or beginning the research phase, take some time to orient yourself. Suppose there’s a specific topic assigned to you. In that case, it’s essential to deeply understand the question and organize your planning and approach in response. Pay attention to the key requirements and ensure you align your writing accordingly. 

This preparation step entails

Deeply understanding the task or assignment

Being clear about the expected format and length

Familiarizing yourself with the citation and referencing requirements 

Understanding any defined limits for your research contribution

Where applicable, speaking to your professor or research supervisor for further clarification

2. Choose your research topic

Select a research topic that aligns with both your interests and available resources. Ideally, focus on a field where you possess significant experience and analytical skills. In crafting your research paper, it's crucial to go beyond summarizing existing data and contribute fresh insights to the chosen area.

Consider narrowing your focus to a specific aspect of the topic. For example, if exploring the link between technology and mental health, delve into how social media use during the pandemic impacts the well-being of college students. Conducting interviews and surveys with students could provide firsthand data and unique perspectives, adding substantial value to the existing knowledge.

When finalizing your topic, adhere to legal and ethical norms in the relevant area (this ensures the integrity of your research, protects participants' rights, upholds intellectual property standards, and ensures transparency and accountability). Following these principles not only maintains the credibility of your work but also builds trust within your academic or professional community.

For instance, in writing about medical research, consider legal and ethical norms, including patient confidentiality laws and informed consent requirements. Similarly, if analyzing user data on social media platforms, be mindful of data privacy regulations, ensuring compliance with laws governing personal information collection and use. Aligning with legal and ethical standards not only avoids potential issues but also underscores the responsible conduct of your research.

3. Gather preliminary research

Once you’ve landed on your topic, it’s time to explore it further. You’ll want to discover more about available resources and existing research relevant to your assignment at this stage. 

This exploratory phase is vital as you may discover issues with your original idea or realize you have insufficient resources to explore the topic effectively. This key bit of groundwork allows you to redirect your research topic in a different, more feasible, or more relevant direction if necessary. 

Spending ample time at this stage ensures you gather everything you need, learn as much as you can about the topic, and discover gaps where the topic has yet to be sufficiently covered, offering an opportunity to research it further. 

4. Define your research question

To produce a well-structured and focused paper, it is imperative to formulate a clear and precise research question that will guide your work. Your research question must be informed by the existing literature and tailored to the scope and objectives of your project. By refining your focus, you can produce a thoughtful and engaging paper that effectively communicates your ideas to your readers.

5. Write a thesis statement

A thesis statement is a one-to-two-sentence summary of your research paper's main argument or direction. It serves as an overall guide to summarize the overall intent of the research paper for you and anyone wanting to know more about the research.

A strong thesis statement is:

Concise and clear: Explain your case in simple sentences (avoid covering multiple ideas). It might help to think of this section as an elevator pitch.

Specific: Ensure that there is no ambiguity in your statement and that your summary covers the points argued in the paper.

Debatable: A thesis statement puts forward a specific argument––it is not merely a statement but a debatable point that can be analyzed and discussed.

Here are three thesis statement examples from different disciplines:

Psychology thesis example: "We're studying adults aged 25-40 to see if taking short breaks for mindfulness can help with stress. Our goal is to find practical ways to manage anxiety better."

Environmental science thesis example: "This research paper looks into how having more city parks might make the air cleaner and keep people healthier. I want to find out if more green spaces means breathing fewer carcinogens in big cities."

UX research thesis example: "This study focuses on improving mobile banking for older adults using ethnographic research, eye-tracking analysis, and interactive prototyping. We investigate the usefulness of eye-tracking analysis with older individuals, aiming to spark debate and offer fresh perspectives on UX design and digital inclusivity for the aging population."

6. Conduct in-depth research

A research paper doesn’t just include research that you’ve uncovered from other papers and studies but your fresh insights, too. You will seek to become an expert on your topic––understanding the nuances in the current leading theories. You will analyze existing research and add your thinking and discoveries.  It's crucial to conduct well-designed research that is rigorous, robust, and based on reliable sources. Suppose a research paper lacks evidence or is biased. In that case, it won't benefit the academic community or the general public. Therefore, examining the topic thoroughly and furthering its understanding through high-quality research is essential. That usually means conducting new research. Depending on the area under investigation, you may conduct surveys, interviews, diary studies, or observational research to uncover new insights or bolster current claims.

7. Determine supporting evidence

Not every piece of research you’ve discovered will be relevant to your research paper. It’s important to categorize the most meaningful evidence to include alongside your discoveries. It's important to include evidence that doesn't support your claims to avoid exclusion bias and ensure a fair research paper.

8. Write a research paper outline

Before diving in and writing the whole paper, start with an outline. It will help you to see if more research is needed, and it will provide a framework by which to write a more compelling paper. Your supervisor may even request an outline to approve before beginning to write the first draft of the full paper. An outline will include your topic, thesis statement, key headings, short summaries of the research, and your arguments.

9. Write your first draft

Once you feel confident about your outline and sources, it’s time to write your first draft. While penning a long piece of content can be intimidating, if you’ve laid the groundwork, you will have a structure to help you move steadily through each section. To keep up motivation and inspiration, it’s often best to keep the pace quick. Stopping for long periods can interrupt your flow and make jumping back in harder than writing when things are fresh in your mind.

10. Cite your sources correctly

It's always a good practice to give credit where it's due, and the same goes for citing any works that have influenced your paper. Building your arguments on credible references adds value and authenticity to your research. In the formatting guidelines section, you’ll find an overview of different citation styles (MLA, CMOS, or APA), which will help you meet any publishing or academic requirements and strengthen your paper's credibility. It is essential to follow the guidelines provided by your school or the publication you are submitting to ensure the accuracy and relevance of your citations.

11. Ensure your work is original

It is crucial to ensure the originality of your paper, as plagiarism can lead to serious consequences. To avoid plagiarism, you should use proper paraphrasing and quoting techniques. Paraphrasing is rewriting a text in your own words while maintaining the original meaning. Quoting involves directly citing the source. Giving credit to the original author or source is essential whenever you borrow their ideas or words. You can also use plagiarism detection tools such as Scribbr or Grammarly to check the originality of your paper. These tools compare your draft writing to a vast database of online sources. If you find any accidental plagiarism, you should correct it immediately by rephrasing or citing the source.

12. Revise, edit, and proofread

One of the essential qualities of excellent writers is their ability to understand the importance of editing and proofreading. Even though it's tempting to call it a day once you've finished your writing, editing your work can significantly improve its quality. It's natural to overlook the weaker areas when you've just finished writing a paper. Therefore, it's best to take a break of a day or two, or even up to a week, to refresh your mind. This way, you can return to your work with a new perspective. After some breathing room, you can spot any inconsistencies, spelling and grammar errors, typos, or missing citations and correct them. 

• The best research paper format 

The format of your research paper should align with the requirements set forth by your college, school, or target publication. 

There is no one “best” format, per se. Depending on the stated requirements, you may need to include the following elements:

Title page: The title page of a research paper typically includes the title, author's name, and institutional affiliation and may include additional information such as a course name or instructor's name. 

Table of contents: Include a table of contents to make it easy for readers to find specific sections of your paper.

Abstract: The abstract is a summary of the purpose of the paper.

Methods : In this section, describe the research methods used. This may include collecting data, conducting interviews, or doing field research.

Results: Summarize the conclusions you drew from your research in this section.

Discussion: In this section, discuss the implications of your research. Be sure to mention any significant limitations to your approach and suggest areas for further research.

Tables, charts, and illustrations: Use tables, charts, and illustrations to help convey your research findings and make them easier to understand.

Works cited or reference page: Include a works cited or reference page to give credit to the sources that you used to conduct your research.

Bibliography: Provide a list of all the sources you consulted while conducting your research.

Dedication and acknowledgments : Optionally, you may include a dedication and acknowledgments section to thank individuals who helped you with your research.

• General style and formatting guidelines

Formatting your research paper means you can submit it to your college, journal, or other publications in compliance with their criteria.

Research papers tend to follow the American Psychological Association (APA), Modern Language Association (MLA), or Chicago Manual of Style (CMOS) guidelines.

Here’s how each style guide is typically used:

Chicago Manual of Style (CMOS):

CMOS is a versatile style guide used for various types of writing. It's known for its flexibility and use in the humanities. CMOS provides guidelines for citations, formatting, and overall writing style. It allows for both footnotes and in-text citations, giving writers options based on their preferences or publication requirements.

American Psychological Association (APA):

APA is common in the social sciences. It’s hailed for its clarity and emphasis on precision. It has specific rules for citing sources, creating references, and formatting papers. APA style uses in-text citations with an accompanying reference list. It's designed to convey information efficiently and is widely used in academic and scientific writing.

Modern Language Association (MLA):

MLA is widely used in the humanities, especially literature and language studies. It emphasizes the author-page format for in-text citations and provides guidelines for creating a "Works Cited" page. MLA is known for its focus on the author's name and the literary works cited. It’s frequently used in disciplines that prioritize literary analysis and critical thinking.

To confirm you're using the latest style guide, check the official website or publisher's site for updates, consult academic resources, and verify the guide's publication date. Online platforms and educational resources may also provide summaries and alerts about any revisions or additions to the style guide.

Citing sources

When working on your research paper, it's important to cite the sources you used properly. Your citation style will guide you through this process. Generally, there are three parts to citing sources in your research paper: 

First, provide a brief citation in the body of your essay. This is also known as a parenthetical or in-text citation. 

Second, include a full citation in the Reference list at the end of your paper. Different types of citations include in-text citations, footnotes, and reference lists. 

In-text citations include the author's surname and the date of the citation. 

Footnotes appear at the bottom of each page of your research paper. They may also be summarized within a reference list at the end of the paper. 

A reference list includes all of the research used within the paper at the end of the document. It should include the author, date, paper title, and publisher listed in the order that aligns with your citation style.

10 research paper writing tips:

Following some best practices is essential to writing a research paper that contributes to your field of study and creates a positive impact.

These tactics will help you structure your argument effectively and ensure your work benefits others:

Clear and precise language:  Ensure your language is unambiguous. Use academic language appropriately, but keep it simple. Also, provide clear takeaways for your audience.

Effective idea separation:  Organize the vast amount of information and sources in your paper with paragraphs and titles. Create easily digestible sections for your readers to navigate through.

Compelling intro:  Craft an engaging introduction that captures your reader's interest. Hook your audience and motivate them to continue reading.

Thorough revision and editing:  Take the time to review and edit your paper comprehensively. Use tools like Grammarly to detect and correct small, overlooked errors.

Thesis precision:  Develop a clear and concise thesis statement that guides your paper. Ensure that your thesis aligns with your research's overall purpose and contribution.

Logical flow of ideas:  Maintain a logical progression throughout the paper. Use transitions effectively to connect different sections and maintain coherence.

Critical evaluation of sources:  Evaluate and critically assess the relevance and reliability of your sources. Ensure that your research is based on credible and up-to-date information.

Thematic consistency:  Maintain a consistent theme throughout the paper. Ensure that all sections contribute cohesively to the overall argument.

Relevant supporting evidence:  Provide concise and relevant evidence to support your arguments. Avoid unnecessary details that may distract from the main points.

Embrace counterarguments:  Acknowledge and address opposing views to strengthen your position. Show that you have considered alternative arguments in your field.

7 research tips 

If you want your paper to not only be well-written but also contribute to the progress of human knowledge, consider these tips to take your paper to the next level:

Selecting the appropriate topic: The topic you select should align with your area of expertise, comply with the requirements of your project, and have sufficient resources for a comprehensive investigation.

Use academic databases: Academic databases such as PubMed, Google Scholar, and JSTOR offer a wealth of research papers that can help you discover everything you need to know about your chosen topic.

Critically evaluate sources: It is important not to accept research findings at face value. Instead, it is crucial to critically analyze the information to avoid jumping to conclusions or overlooking important details. A well-written research paper requires a critical analysis with thorough reasoning to support claims.

Diversify your sources: Expand your research horizons by exploring a variety of sources beyond the standard databases. Utilize books, conference proceedings, and interviews to gather diverse perspectives and enrich your understanding of the topic.

Take detailed notes: Detailed note-taking is crucial during research and can help you form the outline and body of your paper.

Stay up on trends: Keep abreast of the latest developments in your field by regularly checking for recent publications. Subscribe to newsletters, follow relevant journals, and attend conferences to stay informed about emerging trends and advancements. 

Engage in peer review: Seek feedback from peers or mentors to ensure the rigor and validity of your research. Peer review helps identify potential weaknesses in your methodology and strengthens the overall credibility of your findings.

• The real-world impact of research papers

Writing a research paper is more than an academic or business exercise. The experience provides an opportunity to explore a subject in-depth, broaden one's understanding, and arrive at meaningful conclusions. With careful planning, dedication, and hard work, writing a research paper can be a fulfilling and enriching experience contributing to advancing knowledge.

How do I publish my research paper? 

Many academics wish to publish their research papers. While challenging, your paper might get traction if it covers new and well-written information. To publish your research paper, find a target publication, thoroughly read their guidelines, format your paper accordingly, and send it to them per their instructions. You may need to include a cover letter, too. After submission, your paper may be peer-reviewed by experts to assess its legitimacy, quality, originality, and methodology. Following review, you will be informed by the publication whether they have accepted or rejected your paper. 

What is a good opening sentence for a research paper? 

Beginning your research paper with a compelling introduction can ensure readers are interested in going further. A relevant quote, a compelling statistic, or a bold argument can start the paper and hook your reader. Remember, though, that the most important aspect of a research paper is the quality of the information––not necessarily your ability to storytell, so ensure anything you write aligns with your goals.

Research paper vs. a research proposal—what’s the difference?

While some may confuse research papers and proposals, they are different documents. 

A research proposal comes before a research paper. It is a detailed document that outlines an intended area of exploration. It includes the research topic, methodology, timeline, sources, and potential conclusions. Research proposals are often required when seeking approval to conduct research. 

A research paper is a summary of research findings. A research paper follows a structured format to present those findings and construct an argument or conclusion.

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11.1 The Purpose of Research Writing

Learning objectives.

• Identify reasons to research writing projects.
• Outline the steps of the research writing process.

Why was the Great Wall of China built? What have scientists learned about the possibility of life on Mars? What roles did women play in the American Revolution? How does the human brain create, store, and retrieve memories? Who invented the game of football, and how has it changed over the years?

You may know the answers to these questions off the top of your head. If you are like most people, however, you find answers to tough questions like these by searching the Internet, visiting the library, or asking others for information. To put it simply, you perform research.

Whether you are a scientist, an artist, a paralegal, or a parent, you probably perform research in your everyday life. When your boss, your instructor, or a family member asks you a question that you do not know the answer to, you locate relevant information, analyze your findings, and share your results. Locating, analyzing, and sharing information are key steps in the research process, and in this chapter, you will learn more about each step. By developing your research writing skills, you will prepare yourself to answer any question no matter how challenging.

Reasons for Research

When you perform research, you are essentially trying to solve a mystery—you want to know how something works or why something happened. In other words, you want to answer a question that you (and other people) have about the world. This is one of the most basic reasons for performing research.

But the research process does not end when you have solved your mystery. Imagine what would happen if a detective collected enough evidence to solve a criminal case, but she never shared her solution with the authorities. Presenting what you have learned from research can be just as important as performing the research. Research results can be presented in a variety of ways, but one of the most popular—and effective—presentation forms is the research paper . A research paper presents an original thesis, or purpose statement, about a topic and develops that thesis with information gathered from a variety of sources.

If you are curious about the possibility of life on Mars, for example, you might choose to research the topic. What will you do, though, when your research is complete? You will need a way to put your thoughts together in a logical, coherent manner. You may want to use the facts you have learned to create a narrative or to support an argument. And you may want to show the results of your research to your friends, your teachers, or even the editors of magazines and journals. Writing a research paper is an ideal way to organize thoughts, craft narratives or make arguments based on research, and share your newfound knowledge with the world.

Write a paragraph about a time when you used research in your everyday life. Did you look for the cheapest way to travel from Houston to Denver? Did you search for a way to remove gum from the bottom of your shoe? In your paragraph, explain what you wanted to research, how you performed the research, and what you learned as a result.

Research Writing and the Academic Paper

No matter what field of study you are interested in, you will most likely be asked to write a research paper during your academic career. For example, a student in an art history course might write a research paper about an artist’s work. Similarly, a student in a psychology course might write a research paper about current findings in childhood development.

Having to write a research paper may feel intimidating at first. After all, researching and writing a long paper requires a lot of time, effort, and organization. However, writing a research paper can also be a great opportunity to explore a topic that is particularly interesting to you. The research process allows you to gain expertise on a topic of your choice, and the writing process helps you remember what you have learned and understand it on a deeper level.

Research Writing at Work

Knowing how to write a good research paper is a valuable skill that will serve you well throughout your career. Whether you are developing a new product, studying the best way to perform a procedure, or learning about challenges and opportunities in your field of employment, you will use research techniques to guide your exploration. You may even need to create a written report of your findings. And because effective communication is essential to any company, employers seek to hire people who can write clearly and professionally.

Writing at Work

Take a few minutes to think about each of the following careers. How might each of these professionals use researching and research writing skills on the job?

• Medical laboratory technician
• Small business owner
• Information technology professional
• Freelance magazine writer

A medical laboratory technician or information technology professional might do research to learn about the latest technological developments in either of these fields. A small business owner might conduct research to learn about the latest trends in his or her industry. A freelance magazine writer may need to research a given topic to write an informed, up-to-date article.

Think about the job of your dreams. How might you use research writing skills to perform that job? Create a list of ways in which strong researching, organizing, writing, and critical thinking skills could help you succeed at your dream job. How might these skills help you obtain that job?

Steps of the Research Writing Process

How does a research paper grow from a folder of brainstormed notes to a polished final draft? No two projects are identical, but most projects follow a series of six basic steps.

These are the steps in the research writing process:

• Choose a topic.
• Plan and schedule time to research and write.
• Conduct research.
• Organize research and ideas.
• Draft your paper.
• Revise and edit your paper.

Each of these steps will be discussed in more detail later in this chapter. For now, though, we will take a brief look at what each step involves.

Step 1: Choosing a Topic

As you may recall from Chapter 8 “The Writing Process: How Do I Begin?” , to narrow the focus of your topic, you may try freewriting exercises, such as brainstorming. You may also need to ask a specific research question —a broad, open-ended question that will guide your research—as well as propose a possible answer, or a working thesis . You may use your research question and your working thesis to create a research proposal . In a research proposal, you present your main research question, any related subquestions you plan to explore, and your working thesis.

Step 2: Planning and Scheduling

Before you start researching your topic, take time to plan your researching and writing schedule. Research projects can take days, weeks, or even months to complete. Creating a schedule is a good way to ensure that you do not end up being overwhelmed by all the work you have to do as the deadline approaches.

During this step of the process, it is also a good idea to plan the resources and organizational tools you will use to keep yourself on track throughout the project. Flowcharts, calendars, and checklists can all help you stick to your schedule. See Chapter 11 “Writing from Research: What Will I Learn?” , Section 11.2 “Steps in Developing a Research Proposal” for an example of a research schedule.

Step 3: Conducting Research

When going about your research, you will likely use a variety of sources—anything from books and periodicals to video presentations and in-person interviews.

Your sources will include both primary sources and secondary sources . Primary sources provide firsthand information or raw data. For example, surveys, in-person interviews, and historical documents are primary sources. Secondary sources, such as biographies, literary reviews, or magazine articles, include some analysis or interpretation of the information presented. As you conduct research, you will take detailed, careful notes about your discoveries. You will also evaluate the reliability of each source you find.

Step 4: Organizing Research and the Writer’s Ideas

When your research is complete, you will organize your findings and decide which sources to cite in your paper. You will also have an opportunity to evaluate the evidence you have collected and determine whether it supports your thesis, or the focus of your paper. You may decide to adjust your thesis or conduct additional research to ensure that your thesis is well supported.

Remember, your working thesis is not set in stone. You can and should change your working thesis throughout the research writing process if the evidence you find does not support your original thesis. Never try to force evidence to fit your argument. For example, your working thesis is “Mars cannot support life-forms.” Yet, a week into researching your topic, you find an article in the New York Times detailing new findings of bacteria under the Martian surface. Instead of trying to argue that bacteria are not life forms, you might instead alter your thesis to “Mars cannot support complex life-forms.”

Step 5: Drafting Your Paper

Now you are ready to combine your research findings with your critical analysis of the results in a rough draft. You will incorporate source materials into your paper and discuss each source thoughtfully in relation to your thesis or purpose statement.

When you cite your reference sources, it is important to pay close attention to standard conventions for citing sources in order to avoid plagiarism , or the practice of using someone else’s words without acknowledging the source. Later in this chapter, you will learn how to incorporate sources in your paper and avoid some of the most common pitfalls of attributing information.

Step 6: Revising and Editing Your Paper

In the final step of the research writing process, you will revise and polish your paper. You might reorganize your paper’s structure or revise for unity and cohesion, ensuring that each element in your paper flows into the next logically and naturally. You will also make sure that your paper uses an appropriate and consistent tone.

Once you feel confident in the strength of your writing, you will edit your paper for proper spelling, grammar, punctuation, mechanics, and formatting. When you complete this final step, you will have transformed a simple idea or question into a thoroughly researched and well-written paper you can be proud of!

Review the steps of the research writing process. Then answer the questions on your own sheet of paper.

• In which steps of the research writing process are you allowed to change your thesis?
• In step 2, which types of information should you include in your project schedule?
• What might happen if you eliminated step 4 from the research writing process?

Key Takeaways

• People undertake research projects throughout their academic and professional careers in order to answer specific questions, share their findings with others, increase their understanding of challenging topics, and strengthen their researching, writing, and analytical skills.
• The research writing process generally comprises six steps: choosing a topic, scheduling and planning time for research and writing, conducting research, organizing research and ideas, drafting a paper, and revising and editing the paper.

Writing for Success Copyright © 2015 by University of Minnesota is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

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A Practical Guide to Writing Quantitative and Qualitative Research Questions and Hypotheses in Scholarly Articles

Edward barroga.

1 Department of General Education, Graduate School of Nursing Science, St. Luke’s International University, Tokyo, Japan.

Glafera Janet Matanguihan

2 Department of Biological Sciences, Messiah University, Mechanicsburg, PA, USA.

The development of research questions and the subsequent hypotheses are prerequisites to defining the main research purpose and specific objectives of a study. Consequently, these objectives determine the study design and research outcome. The development of research questions is a process based on knowledge of current trends, cutting-edge studies, and technological advances in the research field. Excellent research questions are focused and require a comprehensive literature search and in-depth understanding of the problem being investigated. Initially, research questions may be written as descriptive questions which could be developed into inferential questions. These questions must be specific and concise to provide a clear foundation for developing hypotheses. Hypotheses are more formal predictions about the research outcomes. These specify the possible results that may or may not be expected regarding the relationship between groups. Thus, research questions and hypotheses clarify the main purpose and specific objectives of the study, which in turn dictate the design of the study, its direction, and outcome. Studies developed from good research questions and hypotheses will have trustworthy outcomes with wide-ranging social and health implications.

INTRODUCTION

Scientific research is usually initiated by posing evidenced-based research questions which are then explicitly restated as hypotheses. 1 , 2 The hypotheses provide directions to guide the study, solutions, explanations, and expected results. 3 , 4 Both research questions and hypotheses are essentially formulated based on conventional theories and real-world processes, which allow the inception of novel studies and the ethical testing of ideas. 5 , 6

It is crucial to have knowledge of both quantitative and qualitative research 2 as both types of research involve writing research questions and hypotheses. 7 However, these crucial elements of research are sometimes overlooked; if not overlooked, then framed without the forethought and meticulous attention it needs. Planning and careful consideration are needed when developing quantitative or qualitative research, particularly when conceptualizing research questions and hypotheses. 4

There is a continuing need to support researchers in the creation of innovative research questions and hypotheses, as well as for journal articles that carefully review these elements. 1 When research questions and hypotheses are not carefully thought of, unethical studies and poor outcomes usually ensue. Carefully formulated research questions and hypotheses define well-founded objectives, which in turn determine the appropriate design, course, and outcome of the study. This article then aims to discuss in detail the various aspects of crafting research questions and hypotheses, with the goal of guiding researchers as they develop their own. Examples from the authors and peer-reviewed scientific articles in the healthcare field are provided to illustrate key points.

DEFINITIONS AND RELATIONSHIP OF RESEARCH QUESTIONS AND HYPOTHESES

A research question is what a study aims to answer after data analysis and interpretation. The answer is written in length in the discussion section of the paper. Thus, the research question gives a preview of the different parts and variables of the study meant to address the problem posed in the research question. 1 An excellent research question clarifies the research writing while facilitating understanding of the research topic, objective, scope, and limitations of the study. 5

On the other hand, a research hypothesis is an educated statement of an expected outcome. This statement is based on background research and current knowledge. 8 , 9 The research hypothesis makes a specific prediction about a new phenomenon 10 or a formal statement on the expected relationship between an independent variable and a dependent variable. 3 , 11 It provides a tentative answer to the research question to be tested or explored. 4

Hypotheses employ reasoning to predict a theory-based outcome. 10 These can also be developed from theories by focusing on components of theories that have not yet been observed. 10 The validity of hypotheses is often based on the testability of the prediction made in a reproducible experiment. 8

Conversely, hypotheses can also be rephrased as research questions. Several hypotheses based on existing theories and knowledge may be needed to answer a research question. Developing ethical research questions and hypotheses creates a research design that has logical relationships among variables. These relationships serve as a solid foundation for the conduct of the study. 4 , 11 Haphazardly constructed research questions can result in poorly formulated hypotheses and improper study designs, leading to unreliable results. Thus, the formulations of relevant research questions and verifiable hypotheses are crucial when beginning research. 12

CHARACTERISTICS OF GOOD RESEARCH QUESTIONS AND HYPOTHESES

Excellent research questions are specific and focused. These integrate collective data and observations to confirm or refute the subsequent hypotheses. Well-constructed hypotheses are based on previous reports and verify the research context. These are realistic, in-depth, sufficiently complex, and reproducible. More importantly, these hypotheses can be addressed and tested. 13

There are several characteristics of well-developed hypotheses. Good hypotheses are 1) empirically testable 7 , 10 , 11 , 13 ; 2) backed by preliminary evidence 9 ; 3) testable by ethical research 7 , 9 ; 4) based on original ideas 9 ; 5) have evidenced-based logical reasoning 10 ; and 6) can be predicted. 11 Good hypotheses can infer ethical and positive implications, indicating the presence of a relationship or effect relevant to the research theme. 7 , 11 These are initially developed from a general theory and branch into specific hypotheses by deductive reasoning. In the absence of a theory to base the hypotheses, inductive reasoning based on specific observations or findings form more general hypotheses. 10

TYPES OF RESEARCH QUESTIONS AND HYPOTHESES

Research questions and hypotheses are developed according to the type of research, which can be broadly classified into quantitative and qualitative research. We provide a summary of the types of research questions and hypotheses under quantitative and qualitative research categories in Table 1 .

Research questions in quantitative research

In quantitative research, research questions inquire about the relationships among variables being investigated and are usually framed at the start of the study. These are precise and typically linked to the subject population, dependent and independent variables, and research design. 1 Research questions may also attempt to describe the behavior of a population in relation to one or more variables, or describe the characteristics of variables to be measured ( descriptive research questions ). 1 , 5 , 14 These questions may also aim to discover differences between groups within the context of an outcome variable ( comparative research questions ), 1 , 5 , 14 or elucidate trends and interactions among variables ( relationship research questions ). 1 , 5 We provide examples of descriptive, comparative, and relationship research questions in quantitative research in Table 2 .

Hypotheses in quantitative research

In quantitative research, hypotheses predict the expected relationships among variables. 15 Relationships among variables that can be predicted include 1) between a single dependent variable and a single independent variable ( simple hypothesis ) or 2) between two or more independent and dependent variables ( complex hypothesis ). 4 , 11 Hypotheses may also specify the expected direction to be followed and imply an intellectual commitment to a particular outcome ( directional hypothesis ) 4 . On the other hand, hypotheses may not predict the exact direction and are used in the absence of a theory, or when findings contradict previous studies ( non-directional hypothesis ). 4 In addition, hypotheses can 1) define interdependency between variables ( associative hypothesis ), 4 2) propose an effect on the dependent variable from manipulation of the independent variable ( causal hypothesis ), 4 3) state a negative relationship between two variables ( null hypothesis ), 4 , 11 , 15 4) replace the working hypothesis if rejected ( alternative hypothesis ), 15 explain the relationship of phenomena to possibly generate a theory ( working hypothesis ), 11 5) involve quantifiable variables that can be tested statistically ( statistical hypothesis ), 11 6) or express a relationship whose interlinks can be verified logically ( logical hypothesis ). 11 We provide examples of simple, complex, directional, non-directional, associative, causal, null, alternative, working, statistical, and logical hypotheses in quantitative research, as well as the definition of quantitative hypothesis-testing research in Table 3 .

Research questions in qualitative research

Unlike research questions in quantitative research, research questions in qualitative research are usually continuously reviewed and reformulated. The central question and associated subquestions are stated more than the hypotheses. 15 The central question broadly explores a complex set of factors surrounding the central phenomenon, aiming to present the varied perspectives of participants. 15

There are varied goals for which qualitative research questions are developed. These questions can function in several ways, such as to 1) identify and describe existing conditions ( contextual research question s); 2) describe a phenomenon ( descriptive research questions ); 3) assess the effectiveness of existing methods, protocols, theories, or procedures ( evaluation research questions ); 4) examine a phenomenon or analyze the reasons or relationships between subjects or phenomena ( explanatory research questions ); or 5) focus on unknown aspects of a particular topic ( exploratory research questions ). 5 In addition, some qualitative research questions provide new ideas for the development of theories and actions ( generative research questions ) or advance specific ideologies of a position ( ideological research questions ). 1 Other qualitative research questions may build on a body of existing literature and become working guidelines ( ethnographic research questions ). Research questions may also be broadly stated without specific reference to the existing literature or a typology of questions ( phenomenological research questions ), may be directed towards generating a theory of some process ( grounded theory questions ), or may address a description of the case and the emerging themes ( qualitative case study questions ). 15 We provide examples of contextual, descriptive, evaluation, explanatory, exploratory, generative, ideological, ethnographic, phenomenological, grounded theory, and qualitative case study research questions in qualitative research in Table 4 , and the definition of qualitative hypothesis-generating research in Table 5 .

Qualitative studies usually pose at least one central research question and several subquestions starting with How or What . These research questions use exploratory verbs such as explore or describe . These also focus on one central phenomenon of interest, and may mention the participants and research site. 15

Hypotheses in qualitative research

Hypotheses in qualitative research are stated in the form of a clear statement concerning the problem to be investigated. Unlike in quantitative research where hypotheses are usually developed to be tested, qualitative research can lead to both hypothesis-testing and hypothesis-generating outcomes. 2 When studies require both quantitative and qualitative research questions, this suggests an integrative process between both research methods wherein a single mixed-methods research question can be developed. 1

FRAMEWORKS FOR DEVELOPING RESEARCH QUESTIONS AND HYPOTHESES

Research questions followed by hypotheses should be developed before the start of the study. 1 , 12 , 14 It is crucial to develop feasible research questions on a topic that is interesting to both the researcher and the scientific community. This can be achieved by a meticulous review of previous and current studies to establish a novel topic. Specific areas are subsequently focused on to generate ethical research questions. The relevance of the research questions is evaluated in terms of clarity of the resulting data, specificity of the methodology, objectivity of the outcome, depth of the research, and impact of the study. 1 , 5 These aspects constitute the FINER criteria (i.e., Feasible, Interesting, Novel, Ethical, and Relevant). 1 Clarity and effectiveness are achieved if research questions meet the FINER criteria. In addition to the FINER criteria, Ratan et al. described focus, complexity, novelty, feasibility, and measurability for evaluating the effectiveness of research questions. 14

The PICOT and PEO frameworks are also used when developing research questions. 1 The following elements are addressed in these frameworks, PICOT: P-population/patients/problem, I-intervention or indicator being studied, C-comparison group, O-outcome of interest, and T-timeframe of the study; PEO: P-population being studied, E-exposure to preexisting conditions, and O-outcome of interest. 1 Research questions are also considered good if these meet the “FINERMAPS” framework: Feasible, Interesting, Novel, Ethical, Relevant, Manageable, Appropriate, Potential value/publishable, and Systematic. 14

As we indicated earlier, research questions and hypotheses that are not carefully formulated result in unethical studies or poor outcomes. To illustrate this, we provide some examples of ambiguous research question and hypotheses that result in unclear and weak research objectives in quantitative research ( Table 6 ) 16 and qualitative research ( Table 7 ) 17 , and how to transform these ambiguous research question(s) and hypothesis(es) into clear and good statements.

a These statements were composed for comparison and illustrative purposes only.

b These statements are direct quotes from Higashihara and Horiuchi. 16

a This statement is a direct quote from Shimoda et al. 17

The other statements were composed for comparison and illustrative purposes only.

CONSTRUCTING RESEARCH QUESTIONS AND HYPOTHESES

To construct effective research questions and hypotheses, it is very important to 1) clarify the background and 2) identify the research problem at the outset of the research, within a specific timeframe. 9 Then, 3) review or conduct preliminary research to collect all available knowledge about the possible research questions by studying theories and previous studies. 18 Afterwards, 4) construct research questions to investigate the research problem. Identify variables to be accessed from the research questions 4 and make operational definitions of constructs from the research problem and questions. Thereafter, 5) construct specific deductive or inductive predictions in the form of hypotheses. 4 Finally, 6) state the study aims . This general flow for constructing effective research questions and hypotheses prior to conducting research is shown in Fig. 1 .

Research questions are used more frequently in qualitative research than objectives or hypotheses. 3 These questions seek to discover, understand, explore or describe experiences by asking “What” or “How.” The questions are open-ended to elicit a description rather than to relate variables or compare groups. The questions are continually reviewed, reformulated, and changed during the qualitative study. 3 Research questions are also used more frequently in survey projects than hypotheses in experiments in quantitative research to compare variables and their relationships.

Hypotheses are constructed based on the variables identified and as an if-then statement, following the template, ‘If a specific action is taken, then a certain outcome is expected.’ At this stage, some ideas regarding expectations from the research to be conducted must be drawn. 18 Then, the variables to be manipulated (independent) and influenced (dependent) are defined. 4 Thereafter, the hypothesis is stated and refined, and reproducible data tailored to the hypothesis are identified, collected, and analyzed. 4 The hypotheses must be testable and specific, 18 and should describe the variables and their relationships, the specific group being studied, and the predicted research outcome. 18 Hypotheses construction involves a testable proposition to be deduced from theory, and independent and dependent variables to be separated and measured separately. 3 Therefore, good hypotheses must be based on good research questions constructed at the start of a study or trial. 12

In summary, research questions are constructed after establishing the background of the study. Hypotheses are then developed based on the research questions. Thus, it is crucial to have excellent research questions to generate superior hypotheses. In turn, these would determine the research objectives and the design of the study, and ultimately, the outcome of the research. 12 Algorithms for building research questions and hypotheses are shown in Fig. 2 for quantitative research and in Fig. 3 for qualitative research.

EXAMPLES OF RESEARCH QUESTIONS FROM PUBLISHED ARTICLES

• EXAMPLE 1. Descriptive research question (quantitative research)
• - Presents research variables to be assessed (distinct phenotypes and subphenotypes)
• “BACKGROUND: Since COVID-19 was identified, its clinical and biological heterogeneity has been recognized. Identifying COVID-19 phenotypes might help guide basic, clinical, and translational research efforts.
• RESEARCH QUESTION: Does the clinical spectrum of patients with COVID-19 contain distinct phenotypes and subphenotypes? ” 19
• EXAMPLE 2. Relationship research question (quantitative research)
• - Shows interactions between dependent variable (static postural control) and independent variable (peripheral visual field loss)
• “Background: Integration of visual, vestibular, and proprioceptive sensations contributes to postural control. People with peripheral visual field loss have serious postural instability. However, the directional specificity of postural stability and sensory reweighting caused by gradual peripheral visual field loss remain unclear.
• Research question: What are the effects of peripheral visual field loss on static postural control ?” 20
• EXAMPLE 3. Comparative research question (quantitative research)
• - Clarifies the difference among groups with an outcome variable (patients enrolled in COMPERA with moderate PH or severe PH in COPD) and another group without the outcome variable (patients with idiopathic pulmonary arterial hypertension (IPAH))
• “BACKGROUND: Pulmonary hypertension (PH) in COPD is a poorly investigated clinical condition.
• RESEARCH QUESTION: Which factors determine the outcome of PH in COPD?
• STUDY DESIGN AND METHODS: We analyzed the characteristics and outcome of patients enrolled in the Comparative, Prospective Registry of Newly Initiated Therapies for Pulmonary Hypertension (COMPERA) with moderate or severe PH in COPD as defined during the 6th PH World Symposium who received medical therapy for PH and compared them with patients with idiopathic pulmonary arterial hypertension (IPAH) .” 21
• EXAMPLE 4. Exploratory research question (qualitative research)
• - Explores areas that have not been fully investigated (perspectives of families and children who receive care in clinic-based child obesity treatment) to have a deeper understanding of the research problem
• “Problem: Interventions for children with obesity lead to only modest improvements in BMI and long-term outcomes, and data are limited on the perspectives of families of children with obesity in clinic-based treatment. This scoping review seeks to answer the question: What is known about the perspectives of families and children who receive care in clinic-based child obesity treatment? This review aims to explore the scope of perspectives reported by families of children with obesity who have received individualized outpatient clinic-based obesity treatment.” 22
• EXAMPLE 5. Relationship research question (quantitative research)
• - Defines interactions between dependent variable (use of ankle strategies) and independent variable (changes in muscle tone)
• “Background: To maintain an upright standing posture against external disturbances, the human body mainly employs two types of postural control strategies: “ankle strategy” and “hip strategy.” While it has been reported that the magnitude of the disturbance alters the use of postural control strategies, it has not been elucidated how the level of muscle tone, one of the crucial parameters of bodily function, determines the use of each strategy. We have previously confirmed using forward dynamics simulations of human musculoskeletal models that an increased muscle tone promotes the use of ankle strategies. The objective of the present study was to experimentally evaluate a hypothesis: an increased muscle tone promotes the use of ankle strategies. Research question: Do changes in the muscle tone affect the use of ankle strategies ?” 23

EXAMPLES OF HYPOTHESES IN PUBLISHED ARTICLES

• EXAMPLE 1. Working hypothesis (quantitative research)
• - A hypothesis that is initially accepted for further research to produce a feasible theory
• “As fever may have benefit in shortening the duration of viral illness, it is plausible to hypothesize that the antipyretic efficacy of ibuprofen may be hindering the benefits of a fever response when taken during the early stages of COVID-19 illness .” 24
• “In conclusion, it is plausible to hypothesize that the antipyretic efficacy of ibuprofen may be hindering the benefits of a fever response . The difference in perceived safety of these agents in COVID-19 illness could be related to the more potent efficacy to reduce fever with ibuprofen compared to acetaminophen. Compelling data on the benefit of fever warrant further research and review to determine when to treat or withhold ibuprofen for early stage fever for COVID-19 and other related viral illnesses .” 24
• EXAMPLE 2. Exploratory hypothesis (qualitative research)
• - Explores particular areas deeper to clarify subjective experience and develop a formal hypothesis potentially testable in a future quantitative approach
• “We hypothesized that when thinking about a past experience of help-seeking, a self distancing prompt would cause increased help-seeking intentions and more favorable help-seeking outcome expectations .” 25
• “Conclusion
• Although a priori hypotheses were not supported, further research is warranted as results indicate the potential for using self-distancing approaches to increasing help-seeking among some people with depressive symptomatology.” 25
• EXAMPLE 3. Hypothesis-generating research to establish a framework for hypothesis testing (qualitative research)
• “We hypothesize that compassionate care is beneficial for patients (better outcomes), healthcare systems and payers (lower costs), and healthcare providers (lower burnout). ” 26
• Compassionomics is the branch of knowledge and scientific study of the effects of compassionate healthcare. Our main hypotheses are that compassionate healthcare is beneficial for (1) patients, by improving clinical outcomes, (2) healthcare systems and payers, by supporting financial sustainability, and (3) HCPs, by lowering burnout and promoting resilience and well-being. The purpose of this paper is to establish a scientific framework for testing the hypotheses above . If these hypotheses are confirmed through rigorous research, compassionomics will belong in the science of evidence-based medicine, with major implications for all healthcare domains.” 26
• EXAMPLE 4. Statistical hypothesis (quantitative research)
• - An assumption is made about the relationship among several population characteristics ( gender differences in sociodemographic and clinical characteristics of adults with ADHD ). Validity is tested by statistical experiment or analysis ( chi-square test, Students t-test, and logistic regression analysis)
• “Our research investigated gender differences in sociodemographic and clinical characteristics of adults with ADHD in a Japanese clinical sample. Due to unique Japanese cultural ideals and expectations of women's behavior that are in opposition to ADHD symptoms, we hypothesized that women with ADHD experience more difficulties and present more dysfunctions than men . We tested the following hypotheses: first, women with ADHD have more comorbidities than men with ADHD; second, women with ADHD experience more social hardships than men, such as having less full-time employment and being more likely to be divorced.” 27
• “Statistical Analysis
• ( text omitted ) Between-gender comparisons were made using the chi-squared test for categorical variables and Students t-test for continuous variables…( text omitted ). A logistic regression analysis was performed for employment status, marital status, and comorbidity to evaluate the independent effects of gender on these dependent variables.” 27

EXAMPLES OF HYPOTHESIS AS WRITTEN IN PUBLISHED ARTICLES IN RELATION TO OTHER PARTS

• EXAMPLE 1. Background, hypotheses, and aims are provided
• “Pregnant women need skilled care during pregnancy and childbirth, but that skilled care is often delayed in some countries …( text omitted ). The focused antenatal care (FANC) model of WHO recommends that nurses provide information or counseling to all pregnant women …( text omitted ). Job aids are visual support materials that provide the right kind of information using graphics and words in a simple and yet effective manner. When nurses are not highly trained or have many work details to attend to, these job aids can serve as a content reminder for the nurses and can be used for educating their patients (Jennings, Yebadokpo, Affo, & Agbogbe, 2010) ( text omitted ). Importantly, additional evidence is needed to confirm how job aids can further improve the quality of ANC counseling by health workers in maternal care …( text omitted )” 28
• “ This has led us to hypothesize that the quality of ANC counseling would be better if supported by job aids. Consequently, a better quality of ANC counseling is expected to produce higher levels of awareness concerning the danger signs of pregnancy and a more favorable impression of the caring behavior of nurses .” 28
• “This study aimed to examine the differences in the responses of pregnant women to a job aid-supported intervention during ANC visit in terms of 1) their understanding of the danger signs of pregnancy and 2) their impression of the caring behaviors of nurses to pregnant women in rural Tanzania.” 28
• EXAMPLE 2. Background, hypotheses, and aims are provided
• “We conducted a two-arm randomized controlled trial (RCT) to evaluate and compare changes in salivary cortisol and oxytocin levels of first-time pregnant women between experimental and control groups. The women in the experimental group touched and held an infant for 30 min (experimental intervention protocol), whereas those in the control group watched a DVD movie of an infant (control intervention protocol). The primary outcome was salivary cortisol level and the secondary outcome was salivary oxytocin level.” 29
• “ We hypothesize that at 30 min after touching and holding an infant, the salivary cortisol level will significantly decrease and the salivary oxytocin level will increase in the experimental group compared with the control group .” 29
• EXAMPLE 3. Background, aim, and hypothesis are provided
• “In countries where the maternal mortality ratio remains high, antenatal education to increase Birth Preparedness and Complication Readiness (BPCR) is considered one of the top priorities [1]. BPCR includes birth plans during the antenatal period, such as the birthplace, birth attendant, transportation, health facility for complications, expenses, and birth materials, as well as family coordination to achieve such birth plans. In Tanzania, although increasing, only about half of all pregnant women attend an antenatal clinic more than four times [4]. Moreover, the information provided during antenatal care (ANC) is insufficient. In the resource-poor settings, antenatal group education is a potential approach because of the limited time for individual counseling at antenatal clinics.” 30
• “This study aimed to evaluate an antenatal group education program among pregnant women and their families with respect to birth-preparedness and maternal and infant outcomes in rural villages of Tanzania.” 30
• “ The study hypothesis was if Tanzanian pregnant women and their families received a family-oriented antenatal group education, they would (1) have a higher level of BPCR, (2) attend antenatal clinic four or more times, (3) give birth in a health facility, (4) have less complications of women at birth, and (5) have less complications and deaths of infants than those who did not receive the education .” 30

Research questions and hypotheses are crucial components to any type of research, whether quantitative or qualitative. These questions should be developed at the very beginning of the study. Excellent research questions lead to superior hypotheses, which, like a compass, set the direction of research, and can often determine the successful conduct of the study. Many research studies have floundered because the development of research questions and subsequent hypotheses was not given the thought and meticulous attention needed. The development of research questions and hypotheses is an iterative process based on extensive knowledge of the literature and insightful grasp of the knowledge gap. Focused, concise, and specific research questions provide a strong foundation for constructing hypotheses which serve as formal predictions about the research outcomes. Research questions and hypotheses are crucial elements of research that should not be overlooked. They should be carefully thought of and constructed when planning research. This avoids unethical studies and poor outcomes by defining well-founded objectives that determine the design, course, and outcome of the study.

Disclosure: The authors have no potential conflicts of interest to disclose.

Author Contributions:

• Conceptualization: Barroga E, Matanguihan GJ.
• Methodology: Barroga E, Matanguihan GJ.
• Writing - original draft: Barroga E, Matanguihan GJ.
• Writing - review & editing: Barroga E, Matanguihan GJ.

How to Write a Research Paper

If you already have a headache trying to understand what research paper is all about, we have created an ultimate guide for you on how to write a research paper. You will find all the answers to your questions regarding structure, planning, doing investigation, finding the topic that appeals to you. Plus, you will find out the secret to an excellent paper. Are you at the edge of your seat? Let us start with the basics then.

• What is a Research Paper
• Reasons for Writing a Research Paper
• Report Papers and Thesis Papers
• How to Start a Research Paper
• How to Choose a Topic for a Research Paper
• How to Write a Proposal for a Research Paper
• How to Write a Research Plan
• How to Do Research
• How to Write an Outline for a Research Paper
• How to Write a Thesis Statement for a Research Paper
• How to Write a Research Paper Rough Draft
• How to Write an Introduction for a Research Paper
• How to Write a Body of a Research Paper
• How to Write a Conclusion for a Research Paper
• How to Write an Abstract for a Research Paper
• How to Revise and Edit a Research Paper
• How to Write a Bibliography for a Research Paper
• What Makes a Good Research Paper

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What is a research paper.

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You probably know the saying ‘the devil is not as black as he is painted’. This particular saying is absolutely true when it comes to writing a research paper. Your feet are cold even with the thought of this assignment. You have heard terrifying stories from older students. You have never done this before, so certainly you are scared. What is a research paper? How should I start? What are all these requirements about?

Luckily, you have a friend in need. That is our writing service. First and foremost, let us clarify the definition. A research paper is a piece of academic writing that provides information about a particular topic that you’ve researched . In other words, you choose a topic: about historical events, the work of some artist, some social issues etc. Then you collect data on the given topic and analyze it. Finally, you put your analysis on paper. See, it is not as scary as it seems. If you are still having doubts, whether you can handle it yourself, we are here to help you. Our team of writers can help you choose the topic, or give you advice on how to plan your work, or how to start, or craft a paper for you. Just contact us 24/7 and see everything yourself.

5 Reasons for Writing a Research Paper

Why should I spend my time writing some academic paper? What is the use of it? Is not some practical knowledge more important? The list of questions is endless when it comes to a research paper. That is why we have outlined 5 main reasons why writing a research paper is a good thing.

• You will learn how to organize your time

If you want to write a research paper, you will have to learn how to manage your time. This type of assignment cannot be done overnight. It requires careful planning and you will need to learn how to do it. Later, you will be able to use these time-managing skills in your personal life, so why not developing them?

• You will discover your writing skills

You cannot know something before you try it. This rule relates to writing as well. You cannot claim that you cannot write until you try it yourself. It will be really difficult at the beginning, but then the words will come to your head themselves.

• You will improve your analytical skills

Writing a research paper is all about investigation and analysis. You will need to collect data, examine and classify it. These skills are needed in modern life more than anything else is.

• You will gain confidence

Once you do your own research, it gives you the feeling of confidence in yourself. The reason is simple human brain likes solving puzzles and your assignment is just another puzzle to be solved.

• You will learn how to persuade the reader

When you write your paper, you should always remember that you are writing it for someone to read. Moreover, you want this someone to believe in your ideas. For this reason, you will have to learn different convincing methods and techniques. You will learn how to make your writing persuasive. In turns, you will be able to use these methods in real life.

What is the Difference between Report and Thesis Papers?

A common question is ‘what is the difference between a report paper and a thesis paper?’ The difference lies in the aim of these two assignments. While the former aims at presenting the information, the latter aims at providing your opinion on the matter. In other words, in a report paper you have to summarize your findings. In a thesis paper, you choose some issue and defend your point of view by persuading the reader. It is that simple.

A thesis paper is a more common assignment than a report paper. This task will help a professor to evaluate your analytical skills and skills to present your ideas logically. These skills are more important than just the ability to collect and summarize data.

How to Write a Research Paper Step by Step

Research comes from the French word  rechercher , meaning “to seek out.” Writing a research paper requires you to seek out information about a subject, take a stand on it, and back it up with the opinions, ideas, and views of others. What results is a printed paper variously known as a term paper or library paper, usually between five and fifteen pages long—most instructors specify a minimum length—in which you present your views and findings on the chosen subject.

It is not a secret that the majority of students hate writing a research paper. The reason is simple it steals your time and energy. Not to mention, constant anxiety that you will not be able to meet the deadline or that you will forget about some academic requirement.

We will not lie to you; a research paper is a difficult assignment. You will have to spend a lot of time. You will need to read, to analyze, and to search for the material. You will probably be stuck sometimes. However, if you organize your work smart, you will gain something that is worth all the effort – knowledge, experience, and high grades.

The reason why many students fail writing a research paper is that nobody explained them how to start and how to plan their work. Luckily, you have found our writing service and we are ready to shed the light on this dark matter.

We have created a step by step guide for you on how to write a research paper. We will dwell upon the structure, the writing tips, the writing strategies as well as academic requirements. Read this whole article and you will see that you can handle writing this assignment and our team of writers is here to assist you.

How to Start a Research Paper?

It all starts with the assignment. Your professor gives you the task. It may be either some general issue or specific topic to write about. Your assignment is your first guide to success. If you understand what you need to do according to the assignment, you are on the road to high results. Do not be scared to clarify your task if you need to. There is nothing wrong in asking a question if you want to do something right. You can ask your professor or you can ask our writers who know a thing or two in academic writing.

It is essential to understand the assignment. A good beginning makes a good ending, so start smart.

Learn how to start a research paper .

Choosing a Topic for a Research Paper

We have already mentioned that it is not enough to do great research. You need to persuade the reader that you have made some great research. What convinces better that an eye-catching topic? That is why it is important to understand how to choose a topic for a research paper.

First, you need to delimit the general idea to a more specific one. Secondly, you need to find what makes this topic interesting for you and for the academia. Finally, you need to refine you topic. Remember, it is not something you will do in one day. You can be reshaping your topic throughout your whole writing process. Still, reshaping not changing it completely. That is why keep in your head one main idea: your topic should be precise and compelling .

Learn how to choose a topic for a research paper .

How to Write a Proposal for a Research Paper?

If you do not know what a proposal is, let us explain it to you. A proposal should answer three main questions:

• What is the main aim of your investigation?
• Why is your investigation important?
• How are you going to achieve the results?

In other words, proposal should show why your topic is interesting and how you are going to prove it. As to writing requirements, they may differ. That is why make sure you find out all the details at your department. You can ask your departmental administrator or find information online at department’s site. It is crucial to follow all the administrative requirements, as it will influence your grade.

Learn how to write a proposal for a research paper .

How to Write a Research Plan?

The next step is writing a plan. You have already decided on the main issues, you have chosen the bibliography, and you have clarified the methods. Here comes the planning. If you want to avoid writer’s block, you have to structure you work. Discuss your strategies and ideas with your instructor. Think thoroughly why you need to present some data and ideas first and others second. Remember that there are basic structure elements that your research paper should include:

• Thesis Statement
• Introduction
• Bibliography

You should keep in mind this skeleton when planning your work. This will keep your mind sharp and your ideas will flow logically.

Learn how to write a research plan .

How to Do Research?

Your research will include three stages: collecting data, reading and analyzing it, and writing itself.

First, you need to collect all the material that you will need for you investigation: films, documents, surveys, interviews, and others. Secondly, you will have to read and analyze. This step is tricky, as you need to do this part smart. It is not enough just to read, as you cannot keep in mind all the information. It is essential that you make notes and write down your ideas while analyzing some data. When you get down to the stage number three, writing itself, you will already have the main ideas written on your notes. Plus, remember to jot down the reference details. You will then appreciate this trick when you will have to write the bibliography.

If you do your research this way, it will be much easier for you to write the paper. You will already have blocks of your ideas written down and you will just need to add some material and refine your paper.

Learn how to do research .

How to Write an Outline for a Research Paper?

To make your paper well organized you need to write an outline. Your outline will serve as your guiding star through the writing process. With a great outline you will not get sidetracked, because you will have a structured plan to follow. Both you and the reader will benefit from your outline. You present your ideas logically and you make your writing coherent according to your plan. As a result, this outline guides the reader through your paper and the reader enjoys the way you demonstrate your ideas.

Learn how to write an outline for a research paper . See research paper outline examples .

How to Write a Thesis Statement for a Research Paper?

Briefly, the thesis is the main argument of your research paper. It should be precise, convincing and logical. Your thesis statement should include your point of view supported by evidence or logic. Still, remember it should be precise. You should not beat around the bush, or provide all the possible evidence you have found. It is usually a single sentence that shows your argument. In on sentence you should make a claim, explain why it significant and convince the reader that your point of view is important.

Learn how to write a thesis statement for a research paper . See research paper thesis statement examples .

Should I Write a Rough Draft for a Research Paper?

Do you know any writer who put their ideas on paper, then never edited them and just published? Probably, no writer did so. Writing a research paper is no exception. It is impossible to cope with this assignment without writing a rough draft.

Your draft will help you understand what you need to polish to make your paper perfect. All the requirements, academic standards make it difficult to do everything flawlessly at the first attempt. Make sure you know all the formatting requirements: margins, words quantity, reference requirements, formatting styles etc.

Learn how to write a rough draft for a research paper .

How to Write an Introduction for a Research Paper?

Let us make it more vivid for you. We have narrowed down the tips on writing an introduction to the three main ones:

• Include your thesis in your introduction

Remember to include the thesis statement in your introduction. Usually, it goes at the end of the first paragraph.

• Present the main ideas of the body

You should tell the main topics you are going to discuss in the main body. For this reason, before writing this part of introduction, make sure you know what is your main body is going to be about. It should include your main ideas.

• Polish your thesis and introduction

When you finish the main body of your paper, come back to the thesis statement and introduction. Restate something if needed. Just make it perfect; because introduction is like the trailer to your paper, it should make the reader want to read the whole piece.

Learn how to write an introduction for a research paper . See research paper introduction examples .

How to Write a Body of a Research Paper?

A body is the main part of your research paper. In this part, you will include all the needed evidence; you will provide the examples and support your argument.

It is important to structure your paragraphs thoroughly. That is to say, topic sentence and the evidence supporting the topic. Stay focused and do not be sidetracked. You have your outline, so follow it.

Here are the main tips to keep in head when writing a body of a research paper:

• Let the ideas flow logically
• Include only relevant information
• Provide the evidence
• Structure the paragraphs
• Make the coherent transition from one paragraph to another

See? When it is all structured, it is not as scary as it seemed at the beginning. Still, if you have doubts, you can always ask our writers for help.

Learn how to write a body of a research paper . See research paper transition examples .

How to Write a Conclusion for a Research Paper?

Writing a good conclusion is important as writing any other part of the paper. Remember that conclusion is not a summary of what you have mentioned before. A good conclusion should include your last strong statement.

If you have written everything according to the plan, the reader already knows why your investigation is important. The reader has already seen the evidence. The only thing left is a strong concluding thought that will organize all your findings.

Never include any new information in conclusion. You need to conclude, not to start a new discussion.

Learn how to write a conclusion for a research paper .

How to Write an Abstract for a Research Paper?

An abstract is a brief summary of your paper, usually 100-200 words. You should provide the main gist of your paper in this short summary. An abstract can be informative, descriptive or proposal. Depending on the type of abstract, you need to write, the requirements will differ.

To write an informative abstract you have to provide the summary of the whole paper. Informative summary. In other words, you need to tell about the main points of your work, the methods used, the results and the conclusion of your research.

To write a descriptive abstract you will not have to provide any summery. You should write a short teaser of your paper. That is to say, you need to write an overview of your paper. The aim of a descriptive abstract is to interest the reader.

Finally, to write a proposal abstract you will need to write the basic summary as for the informative abstract. However, the difference is the following: you aim at persuading someone to let you write on the topic. That is why, a proposal abstract should present your topic as the one worth investigating.

Learn how to write an abstract for a research paper .

Should I Revise and Edit a Research Paper?

Revising and editing your paper is essential if you want to get high grades. Let us help you revise your paper smart:

• Check your paper for spelling and grammar mistakes
• Sharpen the vocabulary
• Make sure there are no slang words in your paper
• Examine your paper in terms of structure
• Compare your topic, thesis statement to the whole piece
• Check your paper for plagiarism

If you need assistance with proofreading and editing your paper, you can turn to the professional editors at our service. They will help you polish your paper to perfection.

Learn how to revise and edit a research paper .

How to Write a Bibliography for a Research Paper?

First, let us make it clear that bibliography and works cited are two different things. Works cited are those that you cited in your paper. Bibliography should include all the materials you used to do your research. Still, remember that bibliography requirements differ depending on the formatting style of your paper. For this reason, make sure you ask you professor all the requirements you need to meet to avoid any misunderstanding.

Learn how to write a bibliography for a research paper .

The Key Secret to a Good Research Paper

Now when you know all the stages of writing a research paper, you are ready to find the key to a good research paper:

• Choose the topic that really interests you
• Make the topic interesting for you even if it is not at the beginning
• Follow the step by step guide and do not get sidetracked
• Be persistent and believe in yourself
• Really do research and write your paper from scratch
• Learn the convincing writing techniques and use them
• Follow the requirements of your assignment
• Ask for help if needed from real professionals

Feeling more confident about your paper now? We are sure you do. Still, if you need help, you can always rely on us 24/7.

We hope we have made writing a research paper much easier for you. We realize that it requires lots of time and energy. We believe when you say that you cannot handle it anymore. For this reason, we have been helping students like you for years. Our professional team of writers is ready to tackle any challenge.

All our authors are experienced writers crafting excellent academic papers. We help students meet the deadline and get the top grades they want. You can see everything yourself. All you need to do is to place your order online and we will contact you. Writing a research paper with us is truly easy, so why do not you check it yourself?

Additional Resources for Research Paper Writing:

• Anthropology Research
• Career Research
• Communication Research
• Criminal Justice Research
• Health Research
• Political Science Research
• Psychology Research
• Sociology Research

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Home Market Research

What is Research: Definition, Methods, Types & Examples

The search for knowledge is closely linked to the object of study; that is, to the reconstruction of the facts that will provide an explanation to an observed event and that at first sight can be considered as a problem. It is very human to seek answers and satisfy our curiosity. Let’s talk about research.

Content Index

What is Research?

What are the characteristics of research.

• Comparative analysis chart

Qualitative methods

Quantitative methods, 8 tips for conducting accurate research.

Research is the careful consideration of study regarding a particular concern or research problem using scientific methods. According to the American sociologist Earl Robert Babbie, “research is a systematic inquiry to describe, explain, predict, and control the observed phenomenon. It involves inductive and deductive methods.”

Inductive methods analyze an observed event, while deductive methods verify the observed event. Inductive approaches are associated with qualitative research , and deductive methods are more commonly associated with quantitative analysis .

Research is conducted with a purpose to:

• Identify potential and new customers
• Understand existing customers
• Set pragmatic goals
• Develop productive market strategies
• Address business challenges
• Put together a business expansion plan
• Identify new business opportunities
• Good research follows a systematic approach to capture accurate data. Researchers need to practice ethics and a code of conduct while making observations or drawing conclusions.
• The analysis is based on logical reasoning and involves both inductive and deductive methods.
• Real-time data and knowledge is derived from actual observations in natural settings.
• There is an in-depth analysis of all data collected so that there are no anomalies associated with it.
• It creates a path for generating new questions. Existing data helps create more research opportunities.
• It is analytical and uses all the available data so that there is no ambiguity in inference.
• Accuracy is one of the most critical aspects of research. The information must be accurate and correct. For example, laboratories provide a controlled environment to collect data. Accuracy is measured in the instruments used, the calibrations of instruments or tools, and the experiment’s final result.

What is the purpose of research?

There are three main purposes:

• Exploratory: As the name suggests, researchers conduct exploratory studies to explore a group of questions. The answers and analytics may not offer a conclusion to the perceived problem. It is undertaken to handle new problem areas that haven’t been explored before. This exploratory data analysis process lays the foundation for more conclusive data collection and analysis.

LEARN ABOUT: Descriptive Analysis

• Descriptive: It focuses on expanding knowledge on current issues through a process of data collection. Descriptive research describe the behavior of a sample population. Only one variable is required to conduct the study. The three primary purposes of descriptive studies are describing, explaining, and validating the findings. For example, a study conducted to know if top-level management leaders in the 21st century possess the moral right to receive a considerable sum of money from the company profit.

LEARN ABOUT: Best Data Collection Tools

• Explanatory: Causal research or explanatory research is conducted to understand the impact of specific changes in existing standard procedures. Running experiments is the most popular form. For example, a study that is conducted to understand the effect of rebranding on customer loyalty.

Here is a comparative analysis chart for a better understanding:

It begins by asking the right questions and choosing an appropriate method to investigate the problem. After collecting answers to your questions, you can analyze the findings or observations to draw reasonable conclusions.

When it comes to customers and market studies, the more thorough your questions, the better the analysis. You get essential insights into brand perception and product needs by thoroughly collecting customer data through surveys and questionnaires . You can use this data to make smart decisions about your marketing strategies to position your business effectively.

To make sense of your study and get insights faster, it helps to use a research repository as a single source of truth in your organization and manage your research data in one centralized data repository .

Types of research methods and Examples

Research methods are broadly classified as Qualitative and Quantitative .

Both methods have distinctive properties and data collection methods.

Qualitative research is a method that collects data using conversational methods, usually open-ended questions . The responses collected are essentially non-numerical. This method helps a researcher understand what participants think and why they think in a particular way.

Types of qualitative methods include:

• One-to-one Interview
• Focus Groups
• Ethnographic studies
• Text Analysis

Quantitative methods deal with numbers and measurable forms . It uses a systematic way of investigating events or data. It answers questions to justify relationships with measurable variables to either explain, predict, or control a phenomenon.

Types of quantitative methods include:

• Survey research
• Descriptive research
• Correlational research

LEARN MORE: Descriptive Research vs Correlational Research

Remember, it is only valuable and useful when it is valid, accurate, and reliable. Incorrect results can lead to customer churn and a decrease in sales.

It is essential to ensure that your data is:

• Valid – founded, logical, rigorous, and impartial.
• Accurate – free of errors and including required details.
• Reliable – other people who investigate in the same way can produce similar results.
• Timely – current and collected within an appropriate time frame.
• Complete – includes all the data you need to support your business decisions.

Gather insights

• Identify the main trends and issues, opportunities, and problems you observe. Write a sentence describing each one.
• Keep track of the frequency with which each of the main findings appears.
• Make a list of your findings from the most common to the least common.
• Evaluate a list of the strengths, weaknesses, opportunities, and threats identified in a SWOT analysis .
• Prepare conclusions and recommendations about your study.
• Act on your strategies
• Look for gaps in the information, and consider doing additional inquiry if necessary
• Plan to review the results and consider efficient methods to analyze and interpret results.

Review your goals before making any conclusions about your study. Remember how the process you have completed and the data you have gathered help answer your questions. Ask yourself if what your analysis revealed facilitates the identification of your conclusions and recommendations.

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Want to create or adapt books like this? Learn more about how Pressbooks supports open publishing practices.

Chapter 1: What is Research and Research Writing?

Write here, write now.

Developing your skills as a writer will make you more successful in ALL of your classes. Knowing how to think critically, organize your ideas, be concise, ask questions, perform research and back up your claims with evidence is key to almost everything you will do at university.

Writing is life

Solid writing skills will help you wow your family and friends with your well-articulated ideas, ace job interviews, build confidence in yourself, and feel part of a community of writers.

Beyond University

Whether you go on to graduate school, teach, work for the government or a non-profit, start your own business or your own heavy metal band, becoming a stronger writer will give you a solid foundation you can keep building on.

This chapter:

• Defines research and gives examples
• Describes the writing process
• Introduces writing using research
• Introduces simple research writing
• Prompts you to think about research and writing meaningful to you

 Kimmerer, Robin Wall. Braiding Sweetgrass : Indigenous Wisdom, Scientific Knowledge, and the Teachings of Plants . Milkweed Editions, 2013.

From “ Why Writing Matters “ .   Writing Place: A Scholarly Writing Textbook by Lindsay Cuff. CC BY-NC-SA 4.0. 2023.

Reading and Writing Research for Undergraduates Copyright © 2023 by Stephanie Ojeda Ponce is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License , except where otherwise noted.

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The Process of Research Writing

(19 reviews)

Steven D. Krause, Eastern Michigan University

Copyright Year: 2007

Publisher: Steven D. Krause

Language: English

Formats Available

Conditions of use.

Learn more about reviews.

Reviewed by Kevin Kennedy, Adjunct Professor, Bridgewater State University on 12/2/22

I think this book would make an excellent supplement to other class material in a class focused on writing and research. It helps a lot with the "why"s of research and gives a high-level overview. read more

Comprehensiveness rating: 3 see less

I think this book would make an excellent supplement to other class material in a class focused on writing and research. It helps a lot with the "why"s of research and gives a high-level overview.

Content Accuracy rating: 5

The book is accurate, and talks a lot about different ways to view academic writing

Relevance/Longevity rating: 5

This would be quite relevant for a student early on the college journey who is starting to complete research-based projects.

Clarity rating: 4

The text is clear and concise, though that conciseness sometimes leads to less content than I'd like

Consistency rating: 5

The book is consistent throughout

Modularity rating: 4

I could use the first chapters of this book very easily, but the later ones get into exercises that my classes wouldn't necessarily use

Organization/Structure/Flow rating: 4

The book is organized from the high level (what is academic writing with research) to the more specific (here are some specific exercises)

Interface rating: 3

I don't like the flow from contents to chapters, and they feel distinctly text-based. This is a no-frills text, but that's ok.

Grammatical Errors rating: 3

I didn't note anything glaringly obvious

Cultural Relevance rating: 5

I think that this text stays away from the cultural and focuses mostly on the cognitive. This prevents offensive material, though it may make it less appealing to students.

Reviewed by Julie Sorge Way, Instructional Faculty, James Madison University on 11/23/21

Overall, I think this book’s strongest suits are its organization, clarity, and modularity. It is useful and adaptable for a wide range of courses involving a research component, and as the book itself argues, research is a part of most learning... read more

Comprehensiveness rating: 4 see less

Overall, I think this book’s strongest suits are its organization, clarity, and modularity. It is useful and adaptable for a wide range of courses involving a research component, and as the book itself argues, research is a part of most learning at the university level, whether or not a single traditional “research paper” is the end goal of a course. This is a great book with adaptable and useful content across a range of disciplines, and while it is low on “bells and whistles,” the content it provides seems to be relevant, helpful, and also fill a gap among other OER texts that focus more on rhetoric and less on research.

Because this is a book on research writing rather than cutting edge science, etc. it is unlikely to be made inaccurate by the passing of time.

In a desire to move past the simple “Comp II” textbook, Krause’s work here is relevant to a variety of fields. In creating a course with a major-specific research component, many parts of this text are relevant to what I’m doing, and due to its modularity and organization (see below) I am able to make use of it easily and draw students’ attention to the parts that will help them most with our learning objectives.

Clarity rating: 5

Krause’s writing style is uncomplicated and direct. His examples are ones I think most students could relate to or at least connect with reasonably well.

While the book is internally consistent in its tone, level of detail, and relevance to Krause’s original writing goals, in the process of applying it to different courses (as almost inevitably happens with OER materials) it is inconsistently useful for the course I in particular am planning. This is certainly no fault of the book’s. One example would be that it presents MLA and APA format for citing sources, but not Chicago/Turabian.

Modularity rating: 5

Certainly, its modularity is a real strong suit for Krause’s book overall – individual instructors planning different types of coursework that involve writing and research can easily adapt parts that work, and its Creative Commons license makes this even better.

Organization/Structure/Flow rating: 5

Clear and direct organization is another strong suit in Krause’s text. The information is presented in an orderly and easy to navigate way that allows instructors and students alike to hone in on the most useful information for their writing and research task without spending undue amounts of time searching. This is much appreciated especially in an open access text where instructors are more likely to be “picking and choosing” relevant content from multiple texts and resources.

Interface rating: 4

Simple but clear – basic HTML and PDF navigation by chapter and section. Like many OER texts it is a bit short on visual engagement – the colorful infographics and illustrations many people are used to both in printed textbooks and interacting with internet content.

Grammatical Errors rating: 5

No errors noted.

Widely relevant (at least in the North American context I have most experience with) but as always, instructors should preview and adapt all material for the needs and context of their own classes and students.

Reviewed by Li-Anne Delavega, Undergraduate Research Experience Coordinator, Kapiolani Community College on 5/1/21

This textbook builds a good foundation for first-year students with topics such as developing a thesis, how to find sources and evaluate them, creating an annotated bibliography, audience, and avoiding plagiarism. While the content is explained... read more

This textbook builds a good foundation for first-year students with topics such as developing a thesis, how to find sources and evaluate them, creating an annotated bibliography, audience, and avoiding plagiarism. While the content is explained well and students are slowly walked through the research process, the textbook ends abruptly ends with a quick overview of the elements of a research essay after students organize their evidence and create an outline. A part two textbook that covers the rest of the writing process, such as structuring paragraphs, how to write an introduction and conclusion, and revising drafts, is needed to help students get to a finished product. As a composition-based textbook, I also felt it could have used a section on building arguments. The true gem of this textbook is its activities/exercises and comprehensive but accessible explanations.

Content Accuracy rating: 4

Aside from outdated citations and technology-related content, the process-based writing instruction is accurate and answers common questions from students about research and basic writing. I feel like the questions, checklists, and activities posed are helpful for students to really think through their writing process, and the author explains things without judgment. While students can benefit, I feel that faculty would also benefit from using this as a teaching manual to plan their classes.

Relevance/Longevity rating: 3

The writing instruction is solid and is still used in many textbooks today. Obviously, the sections on technology and citation are outdated, but some sections still have good reliable advice at their core. For example, search language, unreliable web sources, and collaborating online have evolved, but the concepts remain the same. I would cut those sections out and just take what I needed to give to students. The author has no plans to update this book, and someone would need to rewrite many sections of the book, which is not easy to implement.

The book is largely free of jargon and terms are clearly explained. The author's tone is casual and conversational when compared to other textbooks, which makes it more accessible to students and acts as a guide through the research process. However, it does lend itself to longer sections that could use heavy editing and it does sound like a mini-lecture, but I liked the way he thoroughly explains and sets up concepts. His tone and style are a bit inconsistent as others have noted.

The book is very consistent since research and writing terminology is the same across most disciplines. If you're a composition instructor, you'll find the framework is just common writing pedagogy for academic writing: focus on the writing process, freewriting, peer review, audience, revision, etc.

This book was intended to be modular and chapters are mostly self-contained, so it is easy to use individual chapters or change the sequence. There are unusable hyperlinks in each chapter that refer to other sections, but those are additional resources that could be replaced with a citation guide or other common resources. Sections, activities, examples, and key ideas are clearly labeled and can be used without the rest of the chapter. However, some writing concepts, such as a working thesis, are mentioned again in later chapters.

Organization/Structure/Flow rating: 3

Parts of the book are easily identifiable and the content within the chapter flows easily from one concept to the next. I felt that some of the chapters should have appeared earlier in the textbook. Students would have to wait until chapter 10 to learn about the research essay. Revising a working thesis comes before categorizing and reviewing your evidence. The peer-review chapter that advises students to read sections of their writing aloud to catch mistakes comes before brainstorming a topic. However, the sequence will depend on the instructor's preference. An index or a complete, searchable text would have helped so you don't need to guess which chapter has the content you need.

The PDF is the more polished and easier to read of the two versions. Overall, the PDF was well laid out, with clear headers and images. I found the colored boxes for the exercises helpful, though a lighter color would make the text easier to see for more students. The text uses different styles to create organization and emphasis, which made some pages (especially in the beginning) hard to read with the bolded and italicized clutter. I would have loved a complied version with all the chapters.

The HTML version is difficult to read as it is one long block of text and the callouts and images are not well spaced. There is, unfortunately, no benefit to reading the web version: no clickable links, dynamic text flow, or navigational links within each page so you will need to go back to the TOC to get the next section.

Grammatical Errors rating: 4

The book has grammatical and mechanical errors throughout but does not impact content comprehension. Other reviewers here identified more notable errors.

Cultural Relevance rating: 2

The language, examples, and references were generally ok, but the overall textbook felt acultural. Some consideration was taken with pronouns (relies on they/them/their) and gender roles. As others pointed out, there are many areas that could have used diversified sources, topics, references, examples, and students. Some of the textbook's activities assume able-bodied students and sections such as peer collaboration would benefit from a more nuanced discussion when he brought up resentment over non-contributing members, being silenced, and access to resources. There are a few red flags, but one glaring example is on page 5 of chapter 10. An excerpt from an article titled “Preparing to Be Colonized: Land Tenure and Legal Strategy in Nineteenth-Century Hawaii”(which includes the sentence, "Why did Hawaiians do this to themselves?") was used to show students when to use "I" in writing.

Overall, this is a good resource for writing instructors. As this book was written in 2007, faculty will need to cut or adapt a fair amount of the text to modernize it. It is not a textbook to assign to students for the semester, but the textbook's core content is solid writing pedagogy and the focus on using activities to reflect and revise is wonderful. Those outside of composition may find the basic exercises and explanations useful as long as students are primarily working out of a more discipline-specific (e.g., sciences) writing guide.

Reviewed by Milena Gueorguieva, Associate Teaching Professor, University of Massachusetts Lowell on 6/28/20

This is a process based research writing textbook, a rarity among composition textbooks. It is often the case that foundational writing courses are supposed to cover process and then, very often, instructors, students and textbook authors all... read more

Comprehensiveness rating: 5 see less

This is a process based research writing textbook, a rarity among composition textbooks. It is often the case that foundational writing courses are supposed to cover process and then, very often, instructors, students and textbook authors all forget that process is important when they have to dive into the technical aspects of conducting and writing about and from research, usually in a 'second course' in the first year writing sequence. This is not the case with this book: it is a thoughtful, comprehensive exploration of writing from research as a multi-step recursive process. This approach can help students solidify the knowledge and skills they have acquired in prior courses, especially the multi-step recursive nature of writing as a process while developing a set of strong writing from research skills.

The foundations of research writing are presented in an accessible yet rigorous way. The book does away with the myth of research writing as something you do after you think about and research a topic. The author articulated this idea very well, when he wrote, ”We think about what it is we want to research and write about, but at the same time, we learn what to think based on our research and our writing.”

Relevance/Longevity rating: 4

Overall, an excellent handbook (it can be used non-sequentially); however, some of the information on database searches and working with popular internet sources as well as collaborative writing (especially as it relates to the use of technology) needs updating.

The appropriately conversational tone translates complex academic concepts into easy to access ideas that students can relate to. The same is true for the many activities and exercises that demonstrate a variety of real life applications for the research skills presented in the book, which helps students see that research and research based writing happen everywhere, not just on campuses , where students seem to write for an audience of one: the professor who assigned the paper.

The material presented is rigorously and consistently presented in various modes: text, activities and exercises.

It can be used in a variety of ways; it has excellent modular stucture.

Excellently organized: reviews and expands on what students might already know about academic writing as a process; introduces the fundamentals of research and research writing and then uses both of these sets of skills in various research projects.

Although it has some very useful and appropriate visuals , the text could have been more user friendly; it is difficult to follow.

Excellently proof-read,

the book is culturally sensitive and contains appropriate examples and/or references.

An overall excellent composition text that provides useful exercises and assignments (such as the antithesis essay) that can help students build complex and nuanced arguments based on research. Highly recommend!

Reviewed by Valerie Young, Associate Professor, Hanover College on 3/29/20

This text is both general and specific. General enough for use in a variety of courses and disciplines, specific enough to garner interest for faculty who want to teach students the fundamentals and more nuanced aspects of research writing. The... read more

This text is both general and specific. General enough for use in a variety of courses and disciplines, specific enough to garner interest for faculty who want to teach students the fundamentals and more nuanced aspects of research writing. The basics are here. The text could be assigned in specific modules. The text will benefit from an update, especially in regards to references about collaborative writing tools and internet research. The text is missing a chapter on reading research and integrating research into the literature review process. This is a relevant skill for research writing, as student writers often struggle with reading the work of others to understand the body of literature as a foundation for their own assertions.

The content and information seems like it could be helpful for any undergraduate course that has a research writing project. The unique aspects of this book are its features of collaborative and peer review writing practices and all of the exercises embedded in the text. The author gives examples and writing exercises throughout the chapters. These examples could serve inexperienced students quite well. They could also annoy advanced students.

There are some references to the World Wide Web and the Internet, and library research that seem a bit outdated. There isn't much advanced referencing of commonly used internet research options, such as Google Scholar, citation apps, etc.

Clarity rating: 3

Some points are clear and concise. Other pieces go into too much detail for one chapter page. Because the pages are long, and not all content will be relevant to all readers, the author could consider using "collapsible" sections. This could be especially relevant in the APA & MLA sections, offering a side-by-side comparison of each or offering overviews of style basics with sections that open up into more details for some interested readers.

Consistency rating: 4

no issues here

Modularity rating: 3

The chapters are relatively concise and each starts with an overview of content. The web format does not allow for much navigational flow between chapters or sections. It would be great to hyperlink sections of content that are related so that readers can pass through parts of the text to other topics. It does look like the author intended to hyperlink between chapters, but those links (denoted "Hyperlink:" in the text) are not functional.

Overall flow is appropriate for an interdisciplinary lens. Readers can move through as many or as few sections as needed. The chapter topics and subtopics are organized fairly comprehensively, and often by questions that students might ask.

Interface rating: 2

The long blocks of text in each chapter aren't very reader friendly. Also, once the reader gets to the end of the long page / chapter, there is no navigation up to the top of the chapter or laterally to previous or next content. Text doesn't adjust to screen size, so larger screens might have lots of white space.

no issues noticed. Some examples could be updated to be more inclusive, culturally diverse, etc.

This book has some good lessons, questions, and suggestions for topics relevant to research writing. The text could benefit from a more modern take on research writing, as some of the topics and phrases are dated.

Reviewed by Jennifer Wilde, Adjunct instructor, Columbia Gorge Community College on 12/13/18

The text is a wonderful guidebook to the process of writing a research essay. It describes the steps a college writer should take when approaching a research assignment, and I have no doubt that if students followed the steps outlined by the... read more

The text is a wonderful guidebook to the process of writing a research essay. It describes the steps a college writer should take when approaching a research assignment, and I have no doubt that if students followed the steps outlined by the text, they would be sure to succeed in generating a quality thesis statement and locating appropriate sources. It is not comprehensive in that it has very little to say regarding composition, clarity and style. It does not contain an index or glossary.

Sections on MLA and APA format are inaccurate in that they are outdated. It would be preferable for the text to refer students to the online resources that provide up to date information on the latest conventions of APA and MLA.

The bulk of the chapters are timeless and filled with wisdom about using research to write a paper. However, the book should contain links or otherwise refer students to the web sources that would tell them how to use current MLA/APA format. There are some passages that feel anachronistic, as when the author recommends that students consider the advantages of using a computer rather than a word processor or typewriter. The sections on computer research and "netiquette" feel outdated. Finally, the author describes the differences between scholarly sources and periodicals but does not address the newer type of resources, the online journal that is peer-reviewed but open access and not associated with a university.

The writing is strong and clear. Dr. Krause does not indulge in the use of jargon.

The different sections open with an explanation of what will be covered. Then, the author explains the content. Some chapters are rather short while others are long, but generally each topic is addressed comprehensively. In the last several chapters, the author closes with a sample of student work that illustrates the principles the chapter addressed.

The text is divisible into sections. To some extent the content is sequential, but it is not necessary to read the early chapters (such as the section on using computers, which millenials do not need to read) in order to benefit from the wisdom in later chapters. I used this text in a writing 121 course, and I did not assign the entire text. I found some chapters helpful and others not so relevant to my particular needs. Students found the chapters useful and discrete, and they did not feel like they had to go back and read the whole thing. The section on writing an annotated bibliography, for instance, could be used in any writing class.

The topics are presented in the order in which a student approaches a writing assignment. First, the author asks, why write a research essay, and why do research? Next, the author addresses critical thinking and library/data use; quoting, summarizing and paraphrasing; collaboration and writing with others; writing a quality thesis statement; annotating a bibliography; categorizing sources; dealing with counterarguments, and actually writing the research essay. It's quite intuitive and logical. It seems clear that this author has had a lot of experience teaching students how to do these steps.

The interface is straightforward, but I could not locate any hyperlinks that worked. Navigation through the book was no problem.

The book is well written overall. The writer's style is straightforward and clear. There are occasional typos and words that feel misplaced, as in the following sentence: "The reality is though that the possibilities and process of research writing are more complicated and much richer than that." There should be commas around the word "though", and the tone is fairly conversational. These are extremely minor issues.

The examples feel inclusive and I was not aware of any cultural insensitivity in the book overall.

The book is really helpful! I particularly appreciate the sections on how to write an annotated bib and a good thesis statement, and I think the sections on writing a category/evaluation of sources, working thesis statement, and antithesis exercise are unique in the large field of writing textbooks. The book contains no instruction on grammatical conventions, style, clarity, rhetoric, how to emphasize or de-emphasize points, or other writing tips. In that sense, it is not a great text for a composition class. But I think it's extremely useful as a second resource for such a class, especially for classes that teach argumentation or those that require an analytic essay. I feel it is most appropriate for science students - nursing, psychology, medicine, biology, sociology. It is less likely to be useful for a general WR 121 class, or for a bunch of English majors who largely use primary sources.

Reviewed by Jess Magaña, Assistant Teaching Professor, University of Missouri-Kansas City on 6/19/18

This is a comprehensive introduction to planning and writing research papers. The suggested activities seem helpful, and the lack of an index or glossary does not interfere with understanding. read more

This is a comprehensive introduction to planning and writing research papers. The suggested activities seem helpful, and the lack of an index or glossary does not interfere with understanding.

The information is accurate and straightforward.

Some information is out of date, such as the section regarding email, but the main concepts are well explained and relevant. An instructor could easily substitute a lecture or activity with updated information.

The clarity is excellent.

There are no inconsistencies.

The text is organized in a way that lends itself to changing the order of chapters and adding and subtracting topics to suit the needs of each class.

The progression of chapters is logical.

Interface rating: 5

The "hyperlinks" helpfully direct readers to related topics (although these are not actual links in the online version), which contributes to the modularity of the text.

There are a few errors, but none that significantly obscure meaning.

Cultural Relevance rating: 4

This text could use updated examples showing greater diversity in authors and work. I recommend instructors find supplementary examples relevant to their classes.

I intend to use this text in my courses, supplemented with a few activities and more diverse examples to suit my students' needs.

Reviewed by Sheila Packa, Instructor, Lake Superior College on 2/1/18

The text is a comprehensive guide to research for students in College Composition courses. The text is concise and interesting. Critical thinking, research and writing argument are integrated into his suggested assignments. The author covers... read more

The text is a comprehensive guide to research for students in College Composition courses. The text is concise and interesting. Critical thinking, research and writing argument are integrated into his suggested assignments.

The author covers the research question, library resources, how to paraphrase and use quotes, and collaborative writing projects. There are suggested exercises in the process of research, such as a topic proposal, a guide to developing a strong thesis statement, a full exploration of refutation (called the antithesis), the critique or rhetorical analysis, the annotated bibliography, and a guide to help students to accumulate a good assortment of sources. MLA and APA documentation is covered. Note that this text is published in 2007. Therefore, I recommend the use of MLA 8 Handbook for up-to-date guidelines for correct documentation. The Research Paper is full explained. In the chapter, Alternate Ways to Present Research, the author focuses on a Portfolio. He discusses web publication of research and poster sessions.

I value the clarity of ideas. The text is error-free, and I like the example essays written by students that will serve to inspire students.

The content is relevant. The author guides students through the process in a way that is easy to understand and also academically rigorous. The MLA 8 Handbook is a needed supplement (and that is affordable).

The writing is clear and concise. The organization of the chapters is logical and leads the students through steps in the process of research, writing a reasoned argument, and professional presentation of the research.

Terminology is clear and the framework for research is clear and sensible.

The book's modularity is definitely a strength. It's possible to use chapters of the text without using the entire book and to omit chapters that are not a focus of the instructor.

This book has a logical arrangement of chapters and the assignments are valuable.

The interface is great. It's readable online or in pdf form.

No grammatical errors. There is one detail that reflects changing rules of documentation. In MLA, titles of books, magazines, and journals are now italicized instead of underlined. In this text, they are underlined.

The text is free of bias or stereotypes.

Reviewed by Jennie Englund, Instructor, Composition I & II, Rogue Community College, Oregon on 8/15/17

Twelve chapters are broken into multiple parts. On Page 3 of the Introduction, the text emphasizes its purpose as an "introduction to academic writing and research." The following chapters present more than substantial information to give... read more

Twelve chapters are broken into multiple parts.

On Page 3 of the Introduction, the text emphasizes its purpose as an "introduction to academic writing and research." The following chapters present more than substantial information to give introductory (even well into master) research writers a foundation of the basics, as well as some detail. It differentiates itself as "Academic" research writing through thesis, evidence, and citation. Two of these concepts are revisted in the conclusion. The third (thesis) has its own section, which this reviewer will use in class.

I'm grateful to have reviewed an earlier electronic text. This provided the ability to compare/contrast, and note that this particular text was more comprehensive and in-depth than the guide I had previously reviewed (which was more of a framework, good in its own right.)

Had the guide contained a thorough section on revision, I'd give it a perfect score! Thus, the book very very nearly does what it sets out to do; it provides most of The Process of Research Writing.

Retrieval dates are no longer used on the APA References page. This reviewer would have preferred titles italicized instead of underlined.

The text opens with an introduction of the project, by its author. The project began in 2000 as a text for a major publishing house, but eventually landed via author's rights as an electronic text. Therefore, essentially, the book has already been around quite a while. This reviewer concludes that time, thought, and execution went into publishing the material, and predicts its popularity and usability will grow.

Timeless, the guide could have been used with small updates twenty years ago, and could be used with updates twenty years from now.

The guide could be used as the sole text in a composition course, supplemented by more formal (as well as APA) examples.

The text is organized into 12 chapters; it logically begins with "Thinking Critically about Research," and concludes with "Citing Your Research Using MLA or APA Style." The text includes most of what this reviewer uses to teach academic research writing. However, the book omits the editing/revising process.

The guide poses purposeful questions.

On Page 7 of the Introduction, the text reports being "organized in a 'step-by-step' fashion," with an invitation to the reader to use the book in any order, and revisit passages. The reviewer found the organization to be consistent and as systematic as the actual composition of an academic research paper.

The meat of the text begins with the definition and purpose of "Research." Immediately, a nod to working thesis follows, which is revisited in Chapter 5. Sources are examined and classified into a chart of "Scholarly Versus Non-scholarly or Popular Sources." The segment on "Using the Library" would complement a course or class period on library usage.

The Table of Contents is fluid and logical. Within the text, concepts are revisited and built upon, which the reviewer appreciates. Examples and exercises are given.

Chapter 10 contains an outline of a student research paper (which follows). The paper examines the problems with and solutions for university athletics. The paper is in MLA format. Tone is less formal than this reviewer would use as an example of academic research writing. The reviewer would have welcomed an example of an APA paper, as well.

The last chapter fully realizes instruction introduced at the beginning: citation defines academic writing, and academic writers credit their sources, and present evidence to their readers. I wish this last part emphasized thesis again, too, but in all, it is a very structured, reader-friendly guide.

Charts are integrated and understandable, though the majority of the book is text.

This review found some grammatical errors including capitalization. Book/journal/magazine/newspaper titles are underlined in lieu of italicized.

Student examples include Daniel Marvins, Ashley Nelson, Jeremy Stephens, Kelly Ritter, Stuart Banner, and Casey Copeman. Most examples of citations are from male authors. Text would benefit from multi-cultural authors. Examples/topics include The Great Gatsby,African-American Physicians and Drug Advertising, Cyberculture, ADHD, Diabetes, Student-athletes, and Drunk Driving.Examples are culturally appropriate and multi-disciplinary. Consistent pronoun used: he/him/his

Third-person narration is used; the author addresses the reader directly (and informally). While this perhaps makes a connection between the author and the reader, and adds to understanding, it does not reflect academic research writing, and may confuse beginning writers?

Chapter 5, "Writing a Working Thesis," is among the most clear, comprehensive, and straightforward instruction on the topic this reviewer has seen. I will use this section in my Composition I and II courses, as well as Chapters 1, 3, and 12. I wish this form had a place to rate usability. In that case, this guide would score highly. I commend Dr. Krause's execution and composition, and applaud his sharing this at no cost with the academic community.

Reviewed by Marie Lechelt, ESL/English Instructor and Writing Center Co-director, Riverland Community College on 6/20/17

"The Process of Research Writing" is a textbook that includes all of the major topics covered in most college research writing courses. The style of writing makes it easily understood by students. Depending on your focus in your writing class,... read more

"The Process of Research Writing" is a textbook that includes all of the major topics covered in most college research writing courses. The style of writing makes it easily understood by students. Depending on your focus in your writing class, you may want to supplement this text with more about argumentative writing. Other writing models, homework exercises, and classroom activities found by the instructor would also compliment the use of this text. While I would not use this textbook in my course from start to finish, I would jump around and use a variety of sections from it to teach research writing. This text could be used for a beginning writing class or a second semester writing course. Based on my students writing experiences and abilities, I would eliminate or include certain sections. There is no index or glossary included. The hyperlinks to other sections also do not work.

The content is accurate and error-free. I didn't detect any biased information either. The MLA and APA information have changed since this book was published. The peer review work, plagiarism, critiquing sources, and many more of the topics are almost exactly what I teach to my students. This format will work well for them.

While most research writing content does not change over time, there are many parts of this book that could be updated. These include examples (The Great Gatsby), hyperlinks, and references to technology. The technology aspect is especially important. Since technology is constantly changing, most textbooks (print and online) are out of date as soon as they are printed. Because of this, teachers are constantly having to use supplemental material, which is fine. Just like our class websites, we have to update this information every semester or even more often. If you choose to use this textbook, keep in mind that this will be necessary. The MLA/APA information is also out of date, but this is also to be expected.

Clarity is one of the benefits of this textbook. Although the style is somewhat informal, it included appropriate topics and terminology for students learning to write research essays. Students can understand the topics with one or two readings and discuss the topics in class. There were a few places that seemed like common knowledge for students at this level, like the library or using computers. Unfortunately, we do still have students who do not come to us having already learned this information. So, I don't think these sections would have a negative impact on other students. Students can also be given optional sections to read, or as I plan to do, the teacher can skip around and only assign some sections.

The majority of the terminology is common knowledge in research writing teaching. The text is fairly informal in writing style, which I believe is an advantage for students. Many times, students will read a text and then I will need to explain the terminology or ideas in depth in my lectures. Since I prefer to complete activities and work on students' writing in class, instead of lecturing, this book will work well. The chapter on the "Antithesis" was new to me. While I have taught these ideas, I have not used this term before. This is a chapter I may not use and instead include supplemental material of my own.

The chapters are divided clearly and could be separated quite easily to use as individual units in a writing class. If the hyperlinks worked though, they would be helpful. Exercises build upon one another, so one could not assign a later exercise without students first understanding the other sections of the text. I plan to use this text in a research writing class, and I will be skipping around and only using some sections. I do not believe there will be any problem with this. While students may at first feel that starting on Chapter 4 might be strange, they are very adaptive and should have no difficulties with this format.

The Table of Contents is clear and easily understood. Each chapter follows a logical sequence, and students will be able to transition from one topic to another without difficulty. The use of charts, headings, bold, highlighting, and some other visual aids help the reader to understand what is most important to remember. Although, this could be improved upon with the use of color and graphics. While the content is valuable, I would most likely skip around when using this book in the classroom. While the author begin with an introduction and then jumps right into research, I focus on topic selection and thesis writing before research begins. Of course, as the author mentions, students will go back to their thesis and research many times before finishing the writing process.

The text is easily navigated, and students would be able to follow the topics throughout. The lack of graphics and color is noticeable and detracts from the content. In a world of advanced technology where students click on hundreds of websites with amazing content each week, online textbooks need to meet this standard. This textbook is similar to a traditional textbook. Some links are also inactive.

There were some typos and small grammatical errors but no glaring instances. They also did not impact understanding.

This book contained no offensive language or examples. However, we have a lot of diversity in our classrooms, and this is not reflected in the book. Expanding the examples or including links to diverse examples would be helpful.

I will be using this text in a second semester writing class. It has valuable information about research writing. I believe it could also be used for a first semester writing class. As mentioned above, I will use sections of the text and skip around to accommodate the needs of my students. Supplemental materials will also be needed to meet current technology needs.

Reviewed by Betsy Goetz, English Instructor, Riverland Community College on 6/20/17

The text covers all subject areas appropriately. read more

The text covers all subject areas appropriately.

Overall, the text is accurate.

Relevant and current.

I liked the clarity of the text, especially the specific exercises for students to apply the theory they have learned.

This text is consistent -- good terminology!

Clear sections to focus on key points of research writing.

Well organized.

Not confusing

Overall, lacking grammatical errors.

Relevant -- research writing and thesis building are timeless.

Reviewed by Karen Pleasant, Adjunct Instructor, Rogue Community College on 4/11/17

The textbook covered the basics of writing a research paper (the term "essay"is preferred by the author) and would be appropriate for an introductory college writing course, such as WR 121 or WR 122. A table of content is provided, but there is... read more

The textbook covered the basics of writing a research paper (the term "essay"is preferred by the author) and would be appropriate for an introductory college writing course, such as WR 121 or WR 122. A table of content is provided, but there is no glossary. The textbook guides a student from exploring the initial topic selection through the finished product, although I would have liked the use of citations to be covered in more depth. If I chose this as the textbook for my class I would also need to add supplemental materials about thoroughly developing an argument as well as revising a paper.

The author presented the material in an unbiased manner and does so in a way that provides high readability for students with little to no background in writing a research paper. Excellent examples are provided to reinforce concepts and thoughtful, creative collaborative exercises round out each chapter to give practice in skill mastery. Both MLA and APA formatting styles are included, but the APA section needs to be updated. The book was published in 2007 and many of the APA guidelines have changed., including the preference for using italics versus underlining for book and journal titles.

Each chapter is self-contained and stands alone and , therefore, could easily be updated. Most of the information is relevant and could be used indefinitely. I like that Chapter 11 recommended alternate ways to present the research and suggested more contemporary technology based methods. Chapter 12, about APA and MLA citations, is the chapter that currently needs to be updated and would need to be checked for accuracy annually against the latest APA & MLA guidelines. As it reads, I would handout current materials for APA citation sessions and not use this chapter in the book.

The book is well organized and is very user friendly. I think students would enjoy reading it and be able to relate readily to the content. Examples given and exercises provided help to clarify the content and reinforce the concepts for students. The textbook flows well from selection of initial topic ideas to finished product and will help students to work through the process of writing a research paper.

New terms are thoroughly explained and are used consistently throughout the textbook. The knowledge students gain as they progress through the book feels logical and organized in a usable fashion.

The text is organized so that each chapter stands alone and the order the information is presented can be easily modified to fit the needs of an instructor. The book is that rare combination of being equally functional for both student and instructor.

The topics are presented as needed to guide students through the process of writing a research paper, but could be done in another order if desired. Bold and boxed items are used to emphasize key concepts and chapter exercises.

The textbook is visually appealing and easy to read with adequate use of white space and varied font sizes. I explored the textbook via the PDF documents, which were easy to download, although the hyperlinks were not accessible.

There were noticeable grammatical errors.

The textbook is inclusive and accessible to all and didn't have any content that could be deemed offensive. The approachable layout and writing style make the textbook relevant to college students from a variety of backgrounds.

I would definitely adopt this open textbook for my writing classes. The author provided some wonderful ideas for teaching about research papers and I found many chapter exercises that I would be willing to incorporate into my class . I am especially intrigued by the use of writing an antithesis paper as a lead in to adding opposition to the research paper and look forward to getting student input and feedback about some of the alternative ways to present their research. Compared to textbooks I have used or perused in the past, this book seems more inviting and user friendly for students new to writing college level research papers.

Reviewed by VINCENT LASNIK, Adjunct Professor, Rogue Community College on 4/11/17

This comprehensiveness is one of the strengths of The Process of Research Writing. The Table of Contents (TOC) is fine—and each separate chapter also reproduces the contents listing from high-lever through low-level subsections at the beginning... read more

This comprehensiveness is one of the strengths of The Process of Research Writing. The Table of Contents (TOC) is fine—and each separate chapter also reproduces the contents listing from high-lever through low-level subsections at the beginning of each chapter. This duplicate listing feature helps orient students to what is covered (and what is not) for every chapter in-context. Yes—It is a fair evaluation that there can generally be easy-to-fix, quickly recognizable updates, enhancements, and notable improvements to virtually any textbook 10-15 years after its initial publication date (particularly related to changing terminology and nomenclature within the dynamic English lexicon, technology applications (databases, websites, ‘search engines,’ current good ‘help sites’ for students learning the latest iteration of APA style for manuscript formatting, in-text citations, and end references, etc.)—and the Krause text is a prime candidate for such a thorough revision. For example, digital object identifiers (the doi was first introduced circa 2000) did not become widely/pervasively established until well into the first decade of the 21st century; the ‘doi’ is an ubiquitous standard today in 2017. Nevertheless, many of the basic (boilerplate) concepts are clearly noted and credibly, coherently explained. The text could use some effective reorganization (as I note elsewhere in my review)—but that is arguably a subjective/personalized perspective more related to the way we approach writing instruction and student academic development at Rogue Community College—and perhaps less of a global/universal criticism.

See my comments in other sections that impact this issue. Overall, Krause’s text appears, “accurate, error-free and unbiased.” There are no obvious problems with this observation/contention. Some of the ‘out-of-date’ specifics in the text need updating as I note in detail in my other comments.

Most of the text describes research-writing strategies that are fairly well-established if not generic to the undergraduate English composition content area; thus, the overall longevity of the existing text is good. I have suggested, however, that any such ‘how-to’ guide should be updated (as this particular version) after its first decade of publication. The content for online research, for example, reflects an early 2000s perspective of emerging technology terms (e.g., defining blogs as “web-logs” is easily 12-15 years behind the use of the term in 2017), and some of the online websites mentioned are no longer relevant. These types of ‘out-of-date’ past-referents/links, however, can be easily updated to 2017+ accuracy. I have made a few suggestions about such an update—including my offer to assist Steve Krause (gratis and pro bono) in this update should my collaboration be desired. Otherwise, Krause might go the more open ‘peer review’ route and assemble a set of active teachers, instructors, and adjunct professors (such as me) who are on the ‘frontlines’ of current praxis for research-based, critical thinking, problem-oriented writing courses across the 11th-12th grade and through the undergraduate and workforce education community.

The text is written is a clear, credible, and cogent prose throughout. This is one of the particular strengths of Krause’s text—and recursively provides an exemplar for well-written composition. On occasion, the clarity for students might be improved by additional ‘real-world examples’ (i.e., more ‘showing rather than mere abstract telling) explicating some obtuse concepts and numerous rules (e.g., for research strategy, proofreading/editing, using search engines and conducting library research, etc.)—but a similar constructive criticism could easily be made of nearly all similar sources.

The text wording, terminology, framework and process emphasis are highly consistent. There are overlaps and dovetailing (i.e., redundancy) in any/every college textbook—but Krause keeps these to a minimum throughout. Some updating of terminology would be appropriate, useful, and needed as I note throughout my OER review.

The text is superb in this regard. The chapters and exercises are highly modular—which supports the customized reorganization I apply myself in my own courses as noted in my other comments. Numerous subheads and special highlighted ‘key points’ textboxes augment this modularity and improve the narrowing of assigned readings, examples, and exercises for most writing courses. The Process of Research Writing is clearly not, “overly self-referential,” and can easily be, “reorganized and realigned with various subunits of a course without presenting much disruption to the reader” by any instructor.

One of the principal weaknesses of the set of chapters is that the given ‘table of contents’ structure is conceptually disjointed—at least insofar as my research writing course is designed. Therefore, to provide a more coherent, logical sequence congruent to the course organization of my Writing 122 (this is an intermediate/advanced-level English Composition II)—it was necessary to assign a completely different order of The Process of Research Writing (Krause, 2007) high-level chapters/pages for weekly course reading assignments as follows:

Week One: Table of Contents; Introduction: Why Write Research Projects?; and Chapter 1: Thinking Critically About Research; Week Two: Chapter 2: Understanding and Using the Library and the Internet for Research. These three starting chapters were reasonable to introduce in Krause’s original sequence. Continuing into Week Two, I also added Chapter 4: How to Collaborate and Write with Others (but I highlighted limited/specific passages only since WR122 does not emphasize collaborative prose composition activities and extensive group-writing projects using such apps as Google Docs). Week Three: I then assigned Chapter 10: The Research Essay—since it was important to orient students to the intrinsic, namesake umbrella concept of researching and writing the research essay—the essential focus of the course I teach. IMPORTANT NEED TO RESTRUCTURE THE OER as it exists: Viewed from a course rationale and content/skill acquisition conceptual level—I have no idea why Krause did not place ‘Writing The Research Essay’ as high as Chapter 2. It comes far too late in the book as Chapter 10. This is actually where the chapter belongs (in my view); the other topics in the remaining Chapters’ (2—12) would more cogently and effectively proceed after first exploring the high-level nature of the research essay task in the first place. The subsequent skills for conducting Online Library Research; Quoting, Paraphrasing, Avoiding Plagiarism, creating a testable ‘Working Thesis,’ producing an Annotated Bibliography (some courses also use a précis assignment), Evaluating and Categorizing Sources, etc.—are realistically supporting, scaffolding, and corroborating functional/operational skills designed to design, research, and produce the research-based essay project. Therefore—from a project-based and problem-oriented pedagogical strategy/approach—a sound argument could be proffered that putting Chapter 10 second in a reordered book would help students on many levels (not the least being engaging interest and promoting contextual understanding for why learning the content of the remaining chapters makes sense and can be critical/applicable to the research-writing process.

Continuing on my own WR122 course text-sequence customization—in Week Four—we move into the attribution phase of the writing process in Chapter 3: Quoting, Paraphrasing, and Avoiding Plagiarism. Logically, we then move (in Week Five) to Chapter 5: The Working Thesis so students can ask significant/original questions and determine a point of departure into their research essay. This seemed like a good time to add the concept of ‘opposition views’ (i.e., counter-claims, rejoinder and rebuttal) discussed in Chapter 8: The Antithesis. In Week Six—we moved into essay formatting, in-text citation and end references, so Chapter 12: Citing Your Research Using MLA or APA Style {(focusing on reading pp. 1-2 (brief overview), and pp. 18-33 about APA style)} was assigned. In addition, students also perused Chapter 7: The Critique preceding a related argumentative assignment (i.e., a movie review project). For Week Seven (concurrent with an annotated bibliography project for the main term paper—students read Chapter 6: The Annotated Bibliography, and Chapter 9: The Categorization and Evaluation (of sources) that was ostensibly/logically relevant to the annotated bibliography project. Concluding the course for Weeks Eight-Eleven—there were new required readings. Students were instructed to review previous readings in The Process of Research Writing (Krause, 2007)—time permitting. Also Note: Chapter 11: Alternative Ways to Present Your Research is completely optional reading. It is not particularly applicable to this course; there is a student’s self-reflection about the research process on pp. 3-11 that may have some nominal merit, but it notes MLA style (versus my course’s use of APA 6th edition style only) and is in any case not required.

The text is not fancy; standard black and white (high-contrast) font used throughout. For emphasis of key points, Krause does use special ‘highlight boxes’ with gray background, a thick black stroke on the outside of the rectangular textbox. While the gray level might be lowered (in the update) for improved contrast—the true-black, bulleted, bolded key-terms are easy to perceive/read. The only criticism I have is the distracting overuse of quotation mark punctuation for emphasis; this should be corrected in any updated version. Otherwise, most of the book’s interface presentation supports a good user (student) experience, good printability, and good accessibility per ADA and general disability (e.g., visually impaired learners) protocols.

There are no significant/glaring occurrences of grammatical errors in the text. I am not a ‘grammar snob’ in any case. The prose seems clear, cogent, thoughtful, well-written; it generally uses solid grammar, mechanics, and punctuation. The exception is the overuse of a somewhat casual/conversational tone combined with (what is more of a recognizable issue) a distracting overuse of quotation marks—many of which are simply neither needed nor helpful; most could be quickly removed with an immediate improvement to readability.

I do not see significant, relevant, or glaring faux pas pertaining to any biased disrespect for multiculturalism. All persons (e.g., races, ethnicities, genders, sexual orientations, and cultural backgrounds) are equally respected and appreciated. The content area (English composition) is very amenable to a relatively generic, culture-free perspective—and Krause’s examples and prose is well-within any applicable standards of post-modern, scholarly, formal non-fiction in written Standard English.

[1] The Process of Research Writing was ostensibly presented/published to Creative Commons in 2007. No identifiable part/portion of the original edition text appears to have been updated (changed, modified, or improved) since then (i.e., at least 10 years); This is perhaps the single, most apparent flaw/weakness for this textbook. An in-depth revision to 2017 post-rhetorical model essay-writing standards and APA conventions would be invaluable—and quite bluntly—is sorely required. A newly updated Version 2.0 for 2017-18 should be critically planned (and scheduled or already ‘in progress’ if it is not already).

[2] There are many insightful, practical, and high-value approaches to the research writing process; in this regard—the nominal OER title is superbly appropriate for late high-school and beginning college (undergraduate) research essay projects. Even though some of the technical components (e.g., APA style) require updating/revision (which makes basic, reasonable sense after a ‘decade on the shelf’ for any academic research writing source)—Krause’s chapters can effectively replace many expensive, glossy college entry-level textbooks! After presenting the core concepts in a coherent and self-evident manner, Krause supplies a plethora of examples to illustrate those concepts. Then (and this is one of the true strengths of this OER)—each chapter (particularly Chapters 5-10) highlights student-oriented exercises to practice those same core concepts). Because of this latter emphasis—the Krause OER is ‘learner-centered’ (as opposed to ‘content centered’), problem-oriented and performance-oriented as well—providing opportunities for creative, resourceful teachers to adapt/adopt the OER to course assignments.

[3] There does not appear to be a single (standalone) PDF for this OER. This is a notable flaw/weakness for this textbook. Conversely, however, although a single PDF would have some convenient ‘easier downloading’ advantages for students—having separate chapters affords every teacher to create a customized chapter-order (as I have efficiently done to correspond to my course design). The chapters support excellent modularity and the accompanying exercises/examples demonstrate the concepts Krause explicates with a fine degree of granularity for any teacher. Thus—integrating any textbooks or teaching/learning resources (like OERs) always has tradeoffs—plusses and minuses, positives and negatives. The obvious key, therefore, is taking the liberty of using the OER as a supporting scaffold or buttress to an instructor’s original design concept—rather than the foundation around which a course can be designed.

[4] Some minor weaknesses for prose instruction are (a) Krause’s acceptance of passive, sophomoric signal phrasing (i.e., According to X…)—as opposed to strong, active voice such as ‘’X found…’; and (b) a general overuse of quotation marks throughout the book. This is not meant as a harsh criticism—merely an observation that readability could be improved with a newer version that eliminates most quotation marks (Note: In APA style—these punctuation symbols are only used for verbatim quotes. This makes for a cleaner, clearer manuscript).

[5] One of the solid/helpful strengths of the book is a relatively accurate presentation of APA style for in-text citation and end references (Chapter 12). It appears that like many academics—Krause is more familiar and comfortable with the Modern Language Association’s MLA style/formatting. No problem there—I was simply trained on APA beginning in 1984 so it is native to me; I also use the latest version of APA style in all of my writing (college composition) courses. Thus—it should come as no surprise there are a number of obvious APA-associated inaccuracies including (but limited to): (a) meekly accepting ‘n.d.’ (no date) and ‘n.a.’ (no author) sources when a little investigative research by the student (and adherence to the APA rule hierarchy for dates and authors) would easily come up with a sound date and author. Another error (b) seems to be more typographic (formatting) and/or refers to an earlier edition of APA style: the end references in the PDF (and html versions?) use underline in place of italics. The 2011 APA 6th edition style does not use underline in the end references. There are other small (faux pas) errors such as (c) noting generally inaccessible proprietary online databases and servers (again—no longer done in APA). A thorough, meticulous updating of this OER source would probably take care of many of these APA-error issues. I’d be happy to work with Steve on this update at any time.

[6] I use Amy Guptill’s Writing in College: From Competence to Excellence by Amy Guptill of State University of New York (2016) for my English Composition I course that emphasizes general essay writing and a simple research-supported argumentative essay. I teach that course using the following assigned readings: Week One: Chapter 1 (Really? Writing? Again?), pp. 1-7, and Chapter 2 (What Does the Professor Want? Understanding the Assignment), pp. 9-18; Week Two: Chapter 6 (Back to Basics: The Perfect Paragraph), pp. 48-56; Chapter 7 (Intros and Outros), pp. 57-64; Week Four: Chapter 9 (Getting the Mechanics Right), pp. 75-85; Week Five: Chapter 8 (Clarity and Concision), pp. 65-73; Week Six: Chapter 3 (Constructing the Thesis and Argument—From the Ground Up), pp. 19-27; Week Seven: Chapter 4 (Secondary Sources in Their Natural Habitats), pp. 28-37; Week Eight: Chapter 5 (Listening to Sources, Talking to Sources), pp. 38-47. I then switch over to Krause’s OER for my English Composition II course. At Rogue Community College, Writing 122 emphasizes intermediate essay writing and analytical, more rigorous and original research-based essays involving critical thinking. I completely reordered the chapters as described above to fit into my course design. I like Krause’s individual ‘modular’ chapters—but the particular ‘scope and sequence’ he uses are debatable. Overall, however, The Process of Research Writing easily and effectively substitutes/replaces other costly tomes from for-profit academic publishers—even those that offer bundled DVDs and online-access to proprietary tutorial sources. Used in conjunction with other freely available PDF OERs, websites, YouTube videos, tutorial/practice sites from innumerable libraries, blogs (e.g., the APA Blog is particularly helpful)—as well as original/customized sources created by individual instructors for their own courses—the Krause book offers a good, solid baseline for developing research-based writing competencies particularly appropriate for the first two years of college.

Reviewed by Amy Jo Swing, English Instructor, Lake Superior College on 4/11/17

This book covers most of the main concepts of research writing: thesis, research, documenting, and process. It's weak on argument though, which is standard in most research composition texts. The book provides a clear index so finding information... read more

This book covers most of the main concepts of research writing: thesis, research, documenting, and process. It's weak on argument though, which is standard in most research composition texts. The book provides a clear index so finding information is relatively easy. The other weak spot is on evaluation evidence: there is a section on it but not comprehensive examples. Students in general needs lots of practice on how to evaluate and use information.

The information is accurate mostly except for the APA and MLA section. Writing and research writing haven't changed that much in a long time. It's more the technology and tools that change.

Relevance/Longevity rating: 2

The ideas about research and writing in general are fine, However, the references to technology and documentation are very out of date, over 10 years so. Students use technology very differently than described in this text, and the technologies themselves have changed. For example, the author talks about floppy disks and AOL messenger but not about Google Drive, Wikipedia, Prezi, or how to use phones and tablets while researching. Our students are digital natives and need to understand how to use their devices to write and research.

The book is quite readable in general. Concepts are easy to understand. Sometimes, they are almost too simple like the section explaining what a library is. Students might not be sophisticated library users, but they understand in general how they work. The chapters are concise, which is nice for student use too.

Except for pronoun use, the book is consistent in tone and terms. Not all the terms are ones I use in my own teaching, and it would be nice to see explanation of more argument/research frameworks like the Toulmin Model of argument.

The chapters are pretty self-contained and clear as individual units. I can see including certain chapters and leaving out others that aren't as relevant to my teaching style or assignments. One could easily assign the chapters in a different order, but students ask lots of questions when you assign chapter 6 first and then weeks later, assign chapter 2 or 3.

The basic chapters make sense in terms of how they are created and categorized but the order is problematic if an instructor were to assign them in the order presented. For example, the chapter on creating an annotated bibliography comes before the one on documenting (APA/MLA). Students can't complete an annotated bibliography without knowing how to cite sources. Same with evaluating sources. There is so much information on locating sources before any clear mention is made of how to evaluate them. I find that is the weak spot with students. If they learn how to evaluate sources, it's easier to find and locate and research effectively.

Not many images. Students really like info-graphics, pictures, and multi-media. The hyperlinks to other sections of the book do not work in either the PDF or HTML versions. I do like some of the illustrations like mapping and how research is more a web than a linear process. For an online textbook, there aren't a lot of hyperlinks to outside resources (of which there are so many like Purdue's OWL and the Guide to Grammar and Writing).

There were quite a few errors : comma errors, spelling (affect/effect), some pronoun agreement errors, capitalization errors with the title in Chapter Four. The author also uses passive voice quite a bit, which is inconsistent with the general familiar tone. In some chapters, there is constant switching between first, second, and third person. I focus much on point of view consistency in my students' writing, and this would not be a great model for that.

Cultural Relevance rating: 3

There is no cultural offensiveness but not much diversity in examples and students names either. Marginalized students (of color, with disabilities, of different sexuality or gender) would not see themselves reflected much.

This is a good basic reference on the process of writing and research. However, it would not be too useful without updated information on technology and documentation. As a web-based text, it reads more like a traditional physical textbook.

Reviewed by Jocelyn Pihlaja, Instructor, Lake Superior College on 2/8/17

The length and scope of this book are appropriate for a semester-long research writing course, with twelve chapters that move from foundational concepts into more specific skills that are needed for the crafting of a paper incorporating MLA or APA... read more

The length and scope of this book are appropriate for a semester-long research writing course, with twelve chapters that move from foundational concepts into more specific skills that are needed for the crafting of a paper incorporating MLA or APA citation. In particular, I like that the early chapters cover the questions of "Why Write Research Papers?" and how to think critically, the middle chapters provide specific activities in the skills of quoting and paraphrasing, and the later chapters bring in assignments (such as writing an annotated bibliography) that help students practice and build content for their ultimate paper.There is no index or glossary to this book; however, the table of contents provides an overview of the chapters that guides navigation well.

Content Accuracy rating: 3

In terms of the thinking, this book's information is logical and sound. The explanations of concepts and activities read easily and do a fine job of explicating the why and how of research writing. In a few places, however, the word "effected" is used when it should be "affected." Editing also is needed when the author uses phrases such as "in the nutshell" instead of "in a nutshell." As well, in Chapter 4, there is pronoun/antecedent disagreement when the author uses "their" to refer to "each member." Also, each chapter contains at least one "Hyperlink" to supplemental information, yet the hyperlinks are dead. For the most part, the text is clean and well edited, but we English teachers are line-editing sticklers, so even small, occasional errors stand out. Overall: the ideas presented are accurate and free of bias, yet there are a few, niggling errors.

When it comes to relevance and longevity, this book is problematic. In fact, it is so outdated as to be unusable, at least for this instructor. Certainly, the concepts presented are solid; they don't change with passing years. However, typographically, the book is passe, as it uses two spaces after periods. Even more troubling is that it refers to the Internet as "new" and comes from a point of view that sees this thing called "the World Wide Web" as novel while also noting students might want to rely on microfilm and microfiche during their research. In another example, the author suggests to students that a benefit of writing on computers is that they can share their work with each other on disc or through email. Truly, such references make the book unusable for a class in 2017. Another issue is that the Modern Language Association has updated its guidelines several times since this book's publication; ideally, a text used in a research writing class would cover, if not the latest guidelines, at least the previous version of the guidelines. A full rewrite of the book is necessary before it could be adopted. As the book currently stands, students would roll their eyes at the antiquated technological language, and the teacher would need to apologize for asking students to read a text that is so out-of-date.

The writing in this book is both accessible and intelligent. It's eminently readable. Specifically, the inclusion of things like an "Evidence Quality and Credibility Checklist" at the end of Chapter 1 and the continual use of grey boxes that highlight major concepts is very good. Also extremely helpful are the examples of student writing that end nearly every chapter; these models demonstrate to readers what is expected from each assignment. Finally, the explanations of quoting and paraphrasing are superior -- so clear, so easy for students to digest. Were it not outdated in terms of technological references, I would definitely consider using this book in my classes due to the clarity of the prose.

Consistency rating: 3

For the most part, the book is well structured and consistent in its design and layout. Each chapter provides general explanation of a concept, moves into a specific assignment, and ends with an example or two of student responses to that assignment. Very quickly, readers know what to expect from each chapter, and there's something comforting about the predictability of the layout, especially in a book that is being read on a screen, using scrolling. When it comes to the terminology, my only note would be that the book starts out using a relaxed second-person point of view, addressing students as "you," but then, at the end of Chapter 2, the author suddenly begins also using the first-person "I." This first-person point of view continues throughout the book, so it becomes consistent from that point on, but for me as a reader, I never quite adjusted to that level of informality, particularly when all the sentences using "I" could easily be re-written in the third person. Before reading this text, I hadn't really considered what I like in a book, but now I know: because I want the text to model the ideal, I would prefer a more formal (and consistent) point of view. Today's students struggle to create essays that don't include "you" or "I" -- even when they very consciously are trying to avoid those words. Learning to write from the third person POV is surprisingly challenging. Therefore, my personal preference would be a textbook that consistently models this approach.

The chapters in this book are of a perfect length -- long enough to develop the ideas and present comprehensive explanations yet short enough to be ingested and excised. Put another way, I could see grabbing bits and pieces of this text and using them in my classes. For instance, without adopting the entire text, I still could pull the instructions for the Anti-Thesis essay or the Annotated Bibliography, or I could use the explanation of the purpose of collaboration. Indeed, the chapters and exercises in this book are tight "modules" that allow an instructor to pick and choose or to reorganize the chapters to better fit with an individual course structure. For me, although I won't use this entire text, I can envision incorporating pieces of it into my teaching.

The organization of this book is one of its greatest strengths. It starts with a broad overview of research into an exploration of the process behind seeking out reputable sources, weaves in a few shorter essay assignments that serve as building blocks for a longer paper, and culminates with the ideas for a final, capstone research project -- something that naturally grows out of all the previous chapters. Each chapter in the text flows easily out of the chapter before it. One of this text's greatest strengths is how each successive chapter builds on the concepts presented in the previous chapters.

As noted earlier, the hyperlinks in the book don't work. As well, the screenshots included in the book are blurry and add little, except frustration, to the content. Outside of those issues, though, the book is physically easy to read and navigate, largely thanks to the easy clicking between the table of contents and individual chapters.

As suggested earlier, the book, as a whole, reads easily, yet there are some errors with the homonyms "effected" and "affected," along with pronoun/antecedent disagreement. I also noticed a handful of places where there are extra spaces around commas (in addition to the use of two spaces after periods).

This text is definitely not insensitive or offensive; its tone is fair and balanced, free of bias. On the other hand, this book does not really bring in examples that address diversity. Students reading this book will not see acknowledgment of different races, ethnicities, sexual preferences, or personal histories. Thus, in addition to updating the references to technology, if this book were rewritten, it also could more deliberately address this lack. As it is, the content of this book does feel whitewashed and free of cultural relevance.

There is a lot of promise in this text because the explanations and assignments are so good. But unless it is updated, I don’t see it as usable in a current classroom.

Reviewed by Leana Dickerson, Instructor , Linn Benton Community College on 2/8/17

The author certainly outlines and examines elements of research writing, and does so in a very clear, organized, and thoughtful way. There is no glossary or index included in the text, but the chapters and headings in the table of contents and at... read more

The author certainly outlines and examines elements of research writing, and does so in a very clear, organized, and thoughtful way. There is no glossary or index included in the text, but the chapters and headings in the table of contents and at the beginning of each section very clearly outline what is to be expected from the text. Most all of the concepts are very thoroughly explained and examined including topics that typically are glossed over in research writing texts, including the opposition to argument, close reading, and the importance of research writing to a variety of career pathways. Although thorough in what is present, there are some issues that I would want to touch on with my research students including developing effective argument, logical organization, and examples of the revision process.

The information in this text is accurate and adequately explained. It seems readily accessible for any college age student, but doesn’t expect students to come with a background in research or writing. MLA formatting for works cited pages is up to date, and even addresses the fact that the format for citation changes regularly and points to appropriate resources outside of the text. The only formatting issue that I noticed were some in-text citations (examples throughout early chapters) that included a comma which is no longer expected by the MLA. In the works cited section (and throughout, in examples) when referring to book titles, the author does use the underline function instead of an italicized book title; the author also refers to the use of either italic or underlined differentiation, yet MLA suggests italics in text form.

The content of this text is very straight forward and although essentially up to date, may need updates as relevant technology develops. Updates should be simple and clear to implement as needed because of the strict organization of each chapter.

I found the content clarity in this text to be refreshing for college age students. Often, as an instructor, I ask my students to read a text and then I must re-visit the content in lecture format to ensure that my students are not lost on terminology or foundational knowledge. This text does not assume any prior knowledge from the reader, but also does not feel rudimentary. The formatting and highlighted importance of some information also provided clarity and consistency throughout. The author paced information well, building on major concepts from the beginning and returning to them throughout. The final stages of the text bring students to a major essay that easily shows how each concept included throughout the text can weave into a larger project.

This text is consistent, and feels organized with format, terminology, and the building of content from beginning to end.

The sections in this text are easily broken into segments that can be taught or read at any point throughout the writing process. The text does build on exercises from the beginning to the end, but each of these can be taken out of a linear timeline and used for multiple kinds of projects. The author actually refers to this organization in text, making it clear how each element can work alone or for a streamlined project.

Concepts build upon one another, and yet can be returned to (or jumped to) out of order and still be easy to access and utilize. The text is broken up nicely with bolded, bulleted, or boxed items which designate a stopping point, a discussion to consider, or important details or concepts to focus on.

The layout and navigation of this text online is very accessible, organized, and easy to read. The text PDFs often open in a full browser window, other times they open as PDF documents, but either way include a clean, streamlined format. The text does not seem to be able to be downloaded, making it potentially difficult for students to access without internet access. One issue that I did encounter was that in PDF format, or in html, hyperlinks do not function.

The text is clear, free of grammatical errors, and flows well.

This text is relevant to all audiences and very approachable for college age students.

I found this text to be a refreshing change from what is typically find in research textbooks; it’s relevance to more than just the assignment will help students connect research to the broader concept of academia and other facets of their lives. The antithesis section is a useful way for students to really engage with an opposing opinion and how they can then incorporate that into a successful research project. Also, the differing ways of presenting research I found to be useful for students to think about their project beyond a stapled stack of pages, and to expand that to differing modes of communication and presentation. I look forward to being able to use this text with students.

Reviewed by Samuel Kessler, Postdoctoral Fellow, Virginia Polytechnic Institute and State University on 2/8/17

"The Process of Research Writing" covers most of the areas students need to understand as they begin research writing at a college level. It has explanations of theses, bibliographies, citations, outlines, first paragraphs, etc. There is no index... read more

"The Process of Research Writing" covers most of the areas students need to understand as they begin research writing at a college level. It has explanations of theses, bibliographies, citations, outlines, first paragraphs, etc. There is no index or glossary, the latter especially being something that would have been very helpful and easy to put together. Krause has many useful definitions and quick-help guides throughout the text, but they are so scattered and ineffectively labeled that it can be very difficult to find them without reading through whole chapters in one's search. On the whole, buried inside these pages, is a very effective guides to *teaching* about research writing. In truth, this book is a teacher's introduction to a class (or, more realistically, three or four class sessions) devoted to college-level academic writing. Unfortunately, there are a lot of words that one has to get through to find all these subject, which can make for tough going.

Based on the questions and errors I see my students making, Krause has done a strong job of highlighting the basics of proper academic research. He spends much time on sources, especially on learning to differentiate between scholarly, trade, and journalistic sources, as well as how to steer clear and note the signs of online schlock (i.e. much of the internet). His tips for peer-to-peer editing and self-reflexive assignments are just the sort of things our students needs help working on.

This is a strange book. The portions that are about implementing class assignments or explaining terms like thesis and antithesis, as well as the examples of an outline or a good first paragraph, are all excellent tools for a classroom.

But there are so many instances of irrelevant or outdates explanations. No college student today needs to read about why writing on a computer is a useful thing to do. No student needs to read about how email can be a tool for academic exchange. A section on using computers for research? On how to copy and paste within a word document? (And no-one calls it the "World Wide Web".) These are issues for the late 90s, not for students in the second decade of the twenty-first century.

There is also a fair amount that is personal and peculiar to the author: a discussion of why he uses the term "research essay" instead of "research paper"? That is just wasted space, and actually without the argumentative merits of a research thesis that he had been teaching up to that point.

For students at research universities, or even at second-tier state and private colleges, the information about libraries and library catalogues changes so quickly that I could never assign those passages. Instead, we'll spend class time looking at our specific library interface. And often, so much material is being sent off-site these days that in many humanities fields its not even possible to scan the shelves any longer. And in science, books are almost irrelevant: online access journals are where the latest research is stored. A bound edition of *Science* from the 1970s contains very little that's important for a scientific research paper written in 2016--unless that paper is about the history of some form of experiment.

Krause writes in a folksy, breezy second-person. Now, so does Tom Friedman of the Times, though that is one of the main criticisms of his otherwise insights books. Krause has a tendency to be overly wordy. This book should more closely resemble Hemingway than Knausgaard in order to be practical. For students who have Facebook etc. open while they're reading this book, every sentence that's not directly relevant will make their minds wander. There are so many sentences that simply need to be cut. To use this book, I'd need to cut and paste just the relevant passages. And without an index or glossary, assigning sections to students is very hard.

"The Process of Research Writing" is internally consistent. Krause maintains the same tone throughout, and defines terms as he goes along. The chapters vary considerably in length, with the short chapters always being more useful and focused, with less superfluous verbiage and fewer authorial quirks.

Modularity rating: 2

"The Process of Research Writing" is a very difficult text to use. The HTML and PDF versions are identical, which defeats the unique way the internet functions. I read this book on both Safari and Chrome, and in neither browser do the hyperlinks work. The tables of content at the heads of each chapter do not link to their respective sections. The projects, assignments, and definitions do not appear in different windows, which would make them possible to keep open while continuing on in the book. There are many instances in which moving back and forth between sections would be very helpful, and that is simply not possible without having multiple windows of the same book open and going between them that way--something that is very clumsy. And again, there are so many superfluous words that even assigning specific chapters means getting through a lot of talk before actually encountering the various hints, tricks, and explanations that are important for learning how to do college-level research.

"The Process of Research Writing" reads like a series of lectures that are meant to be give in a large lecture class, with assignments appended throughout and at the ends. The order of the books is, overall, what one would expect and need for teaching the basics. However, there is a good deal in Chapter 10 that should have appeared earlier (outlines, for instance), and that becomes part of one long chapter that is difficult to use and should have been divided into smaller sections.

As mentioned, in neither Safari nor Chrome do the hyperlinks work. And there appears to have been no planning for links from the chapter tables-of-content to their various associated sections. This makes it very difficult to get between sections or to return to where one was after going somewhere else in the book. Further, there are many links on the internet that remain stable over long periods of time. The Library of Congress, for instance, about which there is a section concerning its cataloguing system, should have a link. As should WorldCat, which for many people who do not have access to a major research library is the best place for learning about texts. Many services like LexusNexus, ABC Clio, and the NY Times archive all also maintain stable websites that should be externally linked.

Except for a smattering of typos, the book has fine (though informal) grammar. This is not a text that could also be used to demonstrate high-level academic writing.

There is nothing culturally offensive here in any way.

In many ways, this is a much better book for teachers of first-year students than for the students themselves. There are many sections of this book to pull out and assign, or to read together in class, to help students gain an understanding of college-level research. But this is not a book I'd ever assign to my students in total. The suggestions for in-class and homework assignments are all high quality pedagogy. But students shouldn't read about their own assignments--they should just do them. Departments can give this book to first-year professors to help them create class periods where they teach their students how to write papers. That would be an excellent use for this text. But as a book for students themselves, I cannot recommend it.

Reviewed by Margaret Wood, Instructor, Klamath Community College on 8/21/16

The book thoroughly covers the material that first-year college research writers need to know including an introduction to basic academic research concepts, searches and source evaluation from library and web resources, a thorough discussion of... read more

The book thoroughly covers the material that first-year college research writers need to know including an introduction to basic academic research concepts, searches and source evaluation from library and web resources, a thorough discussion of summary, paraphrase and direct quotation, collaboration and peer review, topic selection, hypothesis and thesis development, annotated bibliography, text analysis and evaluation, engaging seriously with opposing viewpoints, working with evidence and attributes of evidence, the components of a traditional research essay, alternative forms of presentation (web-based project), and finally MLA and APA documentation. There are also hyperlinks to help readers move to relevant information in other chapters.

While concepts like ethos, logos, and pathos are mentioned in passing, they are not deeply developed. Other topics I generally teach alongside research which are not covered include strategies for defining terms, inductive and deductive logic, and logical fallacies.

I did not identify any inaccuracies or biases. There are areas where focus may be a bit different. For example, the model my institution uses for annotated bibliographies uses the rhetorical precis as a summary model, and also encourages a brief evaluative analysis. On the other hand, the emphasis given to the antithesis is new to me, and looks like a very good idea. I did identify a couple of grammatical issues -- two cases of "effect" instead of "affect", and one pronoun agreement problem.

Good writing principles don't tend to change that much. The discussion of the Web-based research project is very timely.

The book is written in a conversational style which should be easy for students to understand. All technical terms are clearly explained. There are also aids for comprehension and review including: a useful bulleted list at the beginning of each chapter outlines material covered in that chapter; highlighted boxes which provide guidance for class discussion on the topic; sample assignments; easy-to-read checklists of key points.

The text is entirely consistent. Hyperlinks help to connect key points to other chapters.

The material is subdivided into clear and appropriate chapters; moreover, the chapters provide clear subheadings. However, I did identify one instance where subheadings indicated material that is not present in chapter four: Three Ideas for Collaborative Projects * Research Idea Groups * Research Writing Partners * Collaborative Research Writing Projects.

Also, as previously mentioned, some material that I would like to include is not covered in this text.

I feel that chapter 3 should be placed later, at a point in the term where students have actually begun the writing process.

Images, though used infrequently, are blurry, and hyperlinks, at least as I was able to access them, did not appear to be active.

Mentioned above -- two "effect"/"affect" issues and one issue of pronoun agreement

I did not identify any culturally insensitive issues. The one essay topic used throughout, a thesis involving The Great Gatsby, I did not find particularly relevant, since my institution excludes literature from its research projects.

Solid and thorough advice on research writing. Quite heavy on text, but advice is useful and frequently innovative.

Reviewed by Laura Sanders, Instructor, Portland Community College on 8/21/16

The text offers a comprehensive discussion of all the elements of writing a research project. The author covers evaluating sources, using library research, incorporating research into essays, collaborative work, creating a thesis, as well as... read more

The text offers a comprehensive discussion of all the elements of writing a research project.

The author covers evaluating sources, using library research, incorporating research into essays, collaborative work, creating a thesis, as well as writing annotated bibliographies, close reading, opposition, alternative project formats, and citing sources.

Although there is no index or glossary, the text is organized in discrete chapters available on the site as HTML or PDF for easy navigation.

Although I found no inaccuracies, both the APA and MLA handbooks have been updated since the versions used in this text.

Most of the content will not be obsolete any time soon, but the citation chapter is not based on recent APA and MLA handbooks.

The section on alternative ways to present research (Chapter 11) could be updated to include YouTube, Prezi, and more recent technology.

The modular format would make it very easy to update.

The text is written at a level that is appropriate for the target audience, college students who need to build research and writing skills.

This text is internally consistent.

I consider the modules to be one of the main strengths of the text. The sections have useful subheadings.

It would be easy to select specific chapters as course readings.

The chapters follow an intuitive sequence of developing a paper from topic to research to draft.

This text is easy to navigate.

I found no grammar errors.

There are ample opportunities here to add cultural diversity to the sample topics and writing tasks.

I am thrilled to offer this text to my students instead of the incredibly expensive alternatives currently available.

I am particularly interested in using this book for online writing courses, so students who desire more thorough discussion of particular stages of writing a research project could build or refresh foundational skills in these areas.

Table of Contents

• Introduction
• Chapter One: Thinking Critically About Research
• Chapter Two: Understanding and Using the Library and the Internet for Research
• Chapter Three: Quoting, Paraphrasing, and Avoiding Plagiarism
• Chapter Four: How to Collaborate and Write With Others
• Chapter Five: The Working Thesis Exercise
• Chapter Six: The Annotated Bibliography Exercise
• Chapter Seven: The Critique Exercise
• Chapter Eight: The Antithesis Exercise
• Chapter Nine: The Categorization and Evaluation Exercise
• Chapter Ten: The Research Essay
• Chapter Eleven: Alternative Ways to Present Your Research
• Chapter Twelve: Citing Your Research Using MLA or APA Style

Ancillary Material

About the book.

The title of this book is The Process of Research Writing , and in the nutshell, that is what the book is about. A lot of times, instructors and students tend to separate “thinking,” “researching,” and “writing” into different categories that aren't necessarily very well connected. First you think, then you research, and then you write. The reality is though that the possibilities and process of research writing are more complicated and much richer than that. We think about what it is we want to research and write about, but at the same time, we learn what to think based on our research and our writing. The goal of this book is to guide you through this process of research writing by emphasizing a series of exercises that touch on different and related parts of the research process.

About the Contributors

Steven D. Krause  grew up in eastern Iowa, earned a BA in English at the University of Iowa, an MFA in Fiction Writing at Virginia Commonwealth University, and a PhD in Rhetoric and Writing at Bowling Green State University. He joined the faculty at Eastern Michigan University in 1998.

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Sat / act prep online guides and tips, 113 great research paper topics.

General Education

One of the hardest parts of writing a research paper can be just finding a good topic to write about. Fortunately we've done the hard work for you and have compiled a list of 113 interesting research paper topics. They've been organized into ten categories and cover a wide range of subjects so you can easily find the best topic for you.

In addition to the list of good research topics, we've included advice on what makes a good research paper topic and how you can use your topic to start writing a great paper.

What Makes a Good Research Paper Topic?

Not all research paper topics are created equal, and you want to make sure you choose a great topic before you start writing. Below are the three most important factors to consider to make sure you choose the best research paper topics.

#1: It's Something You're Interested In

A paper is always easier to write if you're interested in the topic, and you'll be more motivated to do in-depth research and write a paper that really covers the entire subject. Even if a certain research paper topic is getting a lot of buzz right now or other people seem interested in writing about it, don't feel tempted to make it your topic unless you genuinely have some sort of interest in it as well.

#2: There's Enough Information to Write a Paper

Even if you come up with the absolute best research paper topic and you're so excited to write about it, you won't be able to produce a good paper if there isn't enough research about the topic. This can happen for very specific or specialized topics, as well as topics that are too new to have enough research done on them at the moment. Easy research paper topics will always be topics with enough information to write a full-length paper.

Trying to write a research paper on a topic that doesn't have much research on it is incredibly hard, so before you decide on a topic, do a bit of preliminary searching and make sure you'll have all the information you need to write your paper.

#3: It Fits Your Teacher's Guidelines

Don't get so carried away looking at lists of research paper topics that you forget any requirements or restrictions your teacher may have put on research topic ideas. If you're writing a research paper on a health-related topic, deciding to write about the impact of rap on the music scene probably won't be allowed, but there may be some sort of leeway. For example, if you're really interested in current events but your teacher wants you to write a research paper on a history topic, you may be able to choose a topic that fits both categories, like exploring the relationship between the US and North Korea. No matter what, always get your research paper topic approved by your teacher first before you begin writing.

113 Good Research Paper Topics

Below are 113 good research topics to help you get you started on your paper. We've organized them into ten categories to make it easier to find the type of research paper topics you're looking for.

Arts/Culture

• Discuss the main differences in art from the Italian Renaissance and the Northern Renaissance .
• Analyze the impact a famous artist had on the world.
• How is sexism portrayed in different types of media (music, film, video games, etc.)? Has the amount/type of sexism changed over the years?
• How has the music of slaves brought over from Africa shaped modern American music?
• How has rap music evolved in the past decade?
• How has the portrayal of minorities in the media changed?

Current Events

• What have been the impacts of China's one child policy?
• How have the goals of feminists changed over the decades?
• How has the Trump presidency changed international relations?
• Analyze the history of the relationship between the United States and North Korea.
• What factors contributed to the current decline in the rate of unemployment?
• What have been the impacts of states which have increased their minimum wage?
• How do US immigration laws compare to immigration laws of other countries?
• How have the US's immigration laws changed in the past few years/decades?
• How has the Black Lives Matter movement affected discussions and view about racism in the US?
• What impact has the Affordable Care Act had on healthcare in the US?
• What factors contributed to the UK deciding to leave the EU (Brexit)?
• What factors contributed to China becoming an economic power?
• Discuss the history of Bitcoin or other cryptocurrencies  (some of which tokenize the S&P 500 Index on the blockchain) .
• Do students in schools that eliminate grades do better in college and their careers?
• Do students from wealthier backgrounds score higher on standardized tests?
• Do students who receive free meals at school get higher grades compared to when they weren't receiving a free meal?
• Do students who attend charter schools score higher on standardized tests than students in public schools?
• Do students learn better in same-sex classrooms?
• How does giving each student access to an iPad or laptop affect their studies?
• What are the benefits and drawbacks of the Montessori Method ?
• Do children who attend preschool do better in school later on?
• What was the impact of the No Child Left Behind act?
• How does the US education system compare to education systems in other countries?
• What impact does mandatory physical education classes have on students' health?
• Which methods are most effective at reducing bullying in schools?
• Do homeschoolers who attend college do as well as students who attended traditional schools?
• Does offering tenure increase or decrease quality of teaching?
• How does college debt affect future life choices of students?
• Should graduate students be able to form unions?

• What are different ways to lower gun-related deaths in the US?
• How and why have divorce rates changed over time?
• Is affirmative action still necessary in education and/or the workplace?
• Should physician-assisted suicide be legal?
• How has stem cell research impacted the medical field?
• How can human trafficking be reduced in the United States/world?
• Should people be able to donate organs in exchange for money?
• Which types of juvenile punishment have proven most effective at preventing future crimes?
• Has the increase in US airport security made passengers safer?
• Analyze the immigration policies of certain countries and how they are similar and different from one another.
• Several states have legalized recreational marijuana. What positive and negative impacts have they experienced as a result?
• Do tariffs increase the number of domestic jobs?
• Which prison reforms have proven most effective?
• Should governments be able to censor certain information on the internet?
• Which methods/programs have been most effective at reducing teen pregnancy?
• What are the benefits and drawbacks of the Keto diet?
• How effective are different exercise regimes for losing weight and maintaining weight loss?
• How do the healthcare plans of various countries differ from each other?
• What are the most effective ways to treat depression ?
• What are the pros and cons of genetically modified foods?
• Which methods are most effective for improving memory?
• What can be done to lower healthcare costs in the US?
• What factors contributed to the current opioid crisis?
• Analyze the history and impact of the HIV/AIDS epidemic .
• Are low-carbohydrate or low-fat diets more effective for weight loss?
• How much exercise should the average adult be getting each week?
• Which methods are most effective to get parents to vaccinate their children?
• What are the pros and cons of clean needle programs?
• How does stress affect the body?
• Discuss the history of the conflict between Israel and the Palestinians.
• What were the causes and effects of the Salem Witch Trials?
• Who was responsible for the Iran-Contra situation?
• How has New Orleans and the government's response to natural disasters changed since Hurricane Katrina?
• What events led to the fall of the Roman Empire?
• What were the impacts of British rule in India ?
• Was the atomic bombing of Hiroshima and Nagasaki necessary?
• What were the successes and failures of the women's suffrage movement in the United States?
• What were the causes of the Civil War?
• How did Abraham Lincoln's assassination impact the country and reconstruction after the Civil War?
• Which factors contributed to the colonies winning the American Revolution?
• What caused Hitler's rise to power?
• Discuss how a specific invention impacted history.
• What led to Cleopatra's fall as ruler of Egypt?
• How has Japan changed and evolved over the centuries?
• What were the causes of the Rwandan genocide ?

• Why did Martin Luther decide to split with the Catholic Church?
• Analyze the history and impact of a well-known cult (Jonestown, Manson family, etc.)
• How did the sexual abuse scandal impact how people view the Catholic Church?
• How has the Catholic church's power changed over the past decades/centuries?
• What are the causes behind the rise in atheism/ agnosticism in the United States?
• What were the influences in Siddhartha's life resulted in him becoming the Buddha?
• How has media portrayal of Islam/Muslims changed since September 11th?

Science/Environment

• How has the earth's climate changed in the past few decades?
• How has the use and elimination of DDT affected bird populations in the US?
• Analyze how the number and severity of natural disasters have increased in the past few decades.
• Analyze deforestation rates in a certain area or globally over a period of time.
• How have past oil spills changed regulations and cleanup methods?
• How has the Flint water crisis changed water regulation safety?
• What are the pros and cons of fracking?
• What impact has the Paris Climate Agreement had so far?
• What have NASA's biggest successes and failures been?
• How can we improve access to clean water around the world?
• Does ecotourism actually have a positive impact on the environment?
• Should the US rely on nuclear energy more?
• What can be done to save amphibian species currently at risk of extinction?
• What impact has climate change had on coral reefs?
• How are black holes created?
• Are teens who spend more time on social media more likely to suffer anxiety and/or depression?
• How will the loss of net neutrality affect internet users?
• Analyze the history and progress of self-driving vehicles.
• How has the use of drones changed surveillance and warfare methods?
• Has social media made people more or less connected?
• What progress has currently been made with artificial intelligence ?
• Do smartphones increase or decrease workplace productivity?
• What are the most effective ways to use technology in the classroom?
• How is Google search affecting our intelligence?
• When is the best age for a child to begin owning a smartphone?
• Has frequent texting reduced teen literacy rates?

How to Write a Great Research Paper

Even great research paper topics won't give you a great research paper if you don't hone your topic before and during the writing process. Follow these three tips to turn good research paper topics into great papers.

#1: Figure Out Your Thesis Early

Before you start writing a single word of your paper, you first need to know what your thesis will be. Your thesis is a statement that explains what you intend to prove/show in your paper. Every sentence in your research paper will relate back to your thesis, so you don't want to start writing without it!

As some examples, if you're writing a research paper on if students learn better in same-sex classrooms, your thesis might be "Research has shown that elementary-age students in same-sex classrooms score higher on standardized tests and report feeling more comfortable in the classroom."

If you're writing a paper on the causes of the Civil War, your thesis might be "While the dispute between the North and South over slavery is the most well-known cause of the Civil War, other key causes include differences in the economies of the North and South, states' rights, and territorial expansion."

#2: Back Every Statement Up With Research

Remember, this is a research paper you're writing, so you'll need to use lots of research to make your points. Every statement you give must be backed up with research, properly cited the way your teacher requested. You're allowed to include opinions of your own, but they must also be supported by the research you give.

#3: Do Your Research Before You Begin Writing

You don't want to start writing your research paper and then learn that there isn't enough research to back up the points you're making, or, even worse, that the research contradicts the points you're trying to make!

Get most of your research on your good research topics done before you begin writing. Then use the research you've collected to create a rough outline of what your paper will cover and the key points you're going to make. This will help keep your paper clear and organized, and it'll ensure you have enough research to produce a strong paper.

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Christine graduated from Michigan State University with degrees in Environmental Biology and Geography and received her Master's from Duke University. In high school she scored in the 99th percentile on the SAT and was named a National Merit Finalist. She has taught English and biology in several countries.

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What is Research Methodology? Definition, Types, and Examples

Research methodology 1,2 is a structured and scientific approach used to collect, analyze, and interpret quantitative or qualitative data to answer research questions or test hypotheses. A research methodology is like a plan for carrying out research and helps keep researchers on track by limiting the scope of the research. Several aspects must be considered before selecting an appropriate research methodology, such as research limitations and ethical concerns that may affect your research.

The research methodology section in a scientific paper describes the different methodological choices made, such as the data collection and analysis methods, and why these choices were selected. The reasons should explain why the methods chosen are the most appropriate to answer the research question. A good research methodology also helps ensure the reliability and validity of the research findings. There are three types of research methodology—quantitative, qualitative, and mixed-method, which can be chosen based on the research objectives.

What is research methodology ?

A research methodology describes the techniques and procedures used to identify and analyze information regarding a specific research topic. It is a process by which researchers design their study so that they can achieve their objectives using the selected research instruments. It includes all the important aspects of research, including research design, data collection methods, data analysis methods, and the overall framework within which the research is conducted. While these points can help you understand what is research methodology, you also need to know why it is important to pick the right methodology.

Why is research methodology important?

Having a good research methodology in place has the following advantages: 3

• Helps other researchers who may want to replicate your research; the explanations will be of benefit to them.
• You can easily answer any questions about your research if they arise at a later stage.
• A research methodology provides a framework and guidelines for researchers to clearly define research questions, hypotheses, and objectives.
• It helps researchers identify the most appropriate research design, sampling technique, and data collection and analysis methods.
• A sound research methodology helps researchers ensure that their findings are valid and reliable and free from biases and errors.
• It also helps ensure that ethical guidelines are followed while conducting research.
• A good research methodology helps researchers in planning their research efficiently, by ensuring optimum usage of their time and resources.

Writing the methods section of a research paper? Let Paperpal help you achieve perfection

Types of research methodology.

There are three types of research methodology based on the type of research and the data required. 1

• Quantitative research methodology focuses on measuring and testing numerical data. This approach is good for reaching a large number of people in a short amount of time. This type of research helps in testing the causal relationships between variables, making predictions, and generalizing results to wider populations.
• Qualitative research methodology examines the opinions, behaviors, and experiences of people. It collects and analyzes words and textual data. This research methodology requires fewer participants but is still more time consuming because the time spent per participant is quite large. This method is used in exploratory research where the research problem being investigated is not clearly defined.
• Mixed-method research methodology uses the characteristics of both quantitative and qualitative research methodologies in the same study. This method allows researchers to validate their findings, verify if the results observed using both methods are complementary, and explain any unexpected results obtained from one method by using the other method.

What are the types of sampling designs in research methodology?

Sampling 4 is an important part of a research methodology and involves selecting a representative sample of the population to conduct the study, making statistical inferences about them, and estimating the characteristics of the whole population based on these inferences. There are two types of sampling designs in research methodology—probability and nonprobability.

• Probability sampling

In this type of sampling design, a sample is chosen from a larger population using some form of random selection, that is, every member of the population has an equal chance of being selected. The different types of probability sampling are:

• Systematic —sample members are chosen at regular intervals. It requires selecting a starting point for the sample and sample size determination that can be repeated at regular intervals. This type of sampling method has a predefined range; hence, it is the least time consuming.
• Stratified —researchers divide the population into smaller groups that don’t overlap but represent the entire population. While sampling, these groups can be organized, and then a sample can be drawn from each group separately.
• Cluster —the population is divided into clusters based on demographic parameters like age, sex, location, etc.
• Convenience —selects participants who are most easily accessible to researchers due to geographical proximity, availability at a particular time, etc.
• Purposive —participants are selected at the researcher’s discretion. Researchers consider the purpose of the study and the understanding of the target audience.
• Snowball —already selected participants use their social networks to refer the researcher to other potential participants.
• Quota —while designing the study, the researchers decide how many people with which characteristics to include as participants. The characteristics help in choosing people most likely to provide insights into the subject.

What are data collection methods?

During research, data are collected using various methods depending on the research methodology being followed and the research methods being undertaken. Both qualitative and quantitative research have different data collection methods, as listed below.

Qualitative research 5

• One-on-one interviews: Helps the interviewers understand a respondent’s subjective opinion and experience pertaining to a specific topic or event
• Document study/literature review/record keeping: Researchers’ review of already existing written materials such as archives, annual reports, research articles, guidelines, policy documents, etc.
• Focus groups: Constructive discussions that usually include a small sample of about 6-10 people and a moderator, to understand the participants’ opinion on a given topic.
• Qualitative observation : Researchers collect data using their five senses (sight, smell, touch, taste, and hearing).

Quantitative research 6

• Sampling: The most common type is probability sampling.
• Interviews: Commonly telephonic or done in-person.
• Observations: Structured observations are most commonly used in quantitative research. In this method, researchers make observations about specific behaviors of individuals in a structured setting.
• Document review: Reviewing existing research or documents to collect evidence for supporting the research.
• Surveys and questionnaires. Surveys can be administered both online and offline depending on the requirement and sample size.

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What are data analysis methods.

The data collected using the various methods for qualitative and quantitative research need to be analyzed to generate meaningful conclusions. These data analysis methods 7 also differ between quantitative and qualitative research.

Quantitative research involves a deductive method for data analysis where hypotheses are developed at the beginning of the research and precise measurement is required. The methods include statistical analysis applications to analyze numerical data and are grouped into two categories—descriptive and inferential.

Descriptive analysis is used to describe the basic features of different types of data to present it in a way that ensures the patterns become meaningful. The different types of descriptive analysis methods are:

• Measures of frequency (count, percent, frequency)
• Measures of central tendency (mean, median, mode)
• Measures of dispersion or variation (range, variance, standard deviation)
• Measure of position (percentile ranks, quartile ranks)

Inferential analysis is used to make predictions about a larger population based on the analysis of the data collected from a smaller population. This analysis is used to study the relationships between different variables. Some commonly used inferential data analysis methods are:

• Correlation: To understand the relationship between two or more variables.
• Cross-tabulation: Analyze the relationship between multiple variables.
• Regression analysis: Study the impact of independent variables on the dependent variable.
• Frequency tables: To understand the frequency of data.
• Analysis of variance: To test the degree to which two or more variables differ in an experiment.

Qualitative research involves an inductive method for data analysis where hypotheses are developed after data collection. The methods include:

• Content analysis: For analyzing documented information from text and images by determining the presence of certain words or concepts in texts.
• Narrative analysis: For analyzing content obtained from sources such as interviews, field observations, and surveys. The stories and opinions shared by people are used to answer research questions.
• Discourse analysis: For analyzing interactions with people considering the social context, that is, the lifestyle and environment, under which the interaction occurs.
• Grounded theory: Involves hypothesis creation by data collection and analysis to explain why a phenomenon occurred.
• Thematic analysis: To identify important themes or patterns in data and use these to address an issue.

How to choose a research methodology?

Here are some important factors to consider when choosing a research methodology: 8

• Research objectives, aims, and questions —these would help structure the research design.
• Review existing literature to identify any gaps in knowledge.
• Check the statistical requirements —if data-driven or statistical results are needed then quantitative research is the best. If the research questions can be answered based on people’s opinions and perceptions, then qualitative research is most suitable.
• Sample size —sample size can often determine the feasibility of a research methodology. For a large sample, less effort- and time-intensive methods are appropriate.
• Constraints —constraints of time, geography, and resources can help define the appropriate methodology.

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How to write a research methodology .

A research methodology should include the following components: 3,9

• Research design —should be selected based on the research question and the data required. Common research designs include experimental, quasi-experimental, correlational, descriptive, and exploratory.
• Research method —this can be quantitative, qualitative, or mixed-method.
• Reason for selecting a specific methodology —explain why this methodology is the most suitable to answer your research problem.
• Research instruments —explain the research instruments you plan to use, mainly referring to the data collection methods such as interviews, surveys, etc. Here as well, a reason should be mentioned for selecting the particular instrument.
• Sampling —this involves selecting a representative subset of the population being studied.
• Data collection —involves gathering data using several data collection methods, such as surveys, interviews, etc.
• Data analysis —describe the data analysis methods you will use once you’ve collected the data.
• Research limitations —mention any limitations you foresee while conducting your research.
• Validity and reliability —validity helps identify the accuracy and truthfulness of the findings; reliability refers to the consistency and stability of the results over time and across different conditions.
• Ethical considerations —research should be conducted ethically. The considerations include obtaining consent from participants, maintaining confidentiality, and addressing conflicts of interest.

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Frequently Asked Questions

Q1. What are the key components of research methodology?

A1. A good research methodology has the following key components:

• Research design
• Data collection procedures
• Data analysis methods
• Ethical considerations

Q2. Why is ethical consideration important in research methodology?

A2. Ethical consideration is important in research methodology to ensure the readers of the reliability and validity of the study. Researchers must clearly mention the ethical norms and standards followed during the conduct of the research and also mention if the research has been cleared by any institutional board. The following 10 points are the important principles related to ethical considerations: 10

• Participants should not be subjected to harm.
• Respect for the dignity of participants should be prioritized.
• Full consent should be obtained from participants before the study.
• Participants’ privacy should be ensured.
• Confidentiality of the research data should be ensured.
• Anonymity of individuals and organizations participating in the research should be maintained.
• The aims and objectives of the research should not be exaggerated.
• Affiliations, sources of funding, and any possible conflicts of interest should be declared.
• Communication in relation to the research should be honest and transparent.
• Misleading information and biased representation of primary data findings should be avoided.

Q3. What is the difference between methodology and method?

A3. Research methodology is different from a research method, although both terms are often confused. Research methods are the tools used to gather data, while the research methodology provides a framework for how research is planned, conducted, and analyzed. The latter guides researchers in making decisions about the most appropriate methods for their research. Research methods refer to the specific techniques, procedures, and tools used by researchers to collect, analyze, and interpret data, for instance surveys, questionnaires, interviews, etc.

Research methodology is, thus, an integral part of a research study. It helps ensure that you stay on track to meet your research objectives and answer your research questions using the most appropriate data collection and analysis tools based on your research design.

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• Research methodologies. Pfeiffer Library website. Accessed August 15, 2023. https://library.tiffin.edu/researchmethodologies/whatareresearchmethodologies
• Types of research methodology. Eduvoice website. Accessed August 16, 2023. https://eduvoice.in/types-research-methodology/
• The basics of research methodology: A key to quality research. Voxco. Accessed August 16, 2023. https://www.voxco.com/blog/what-is-research-methodology/
• Sampling methods: Types with examples. QuestionPro website. Accessed August 16, 2023. https://www.questionpro.com/blog/types-of-sampling-for-social-research/
• What is qualitative research? Methods, types, approaches, examples. Researcher.Life blog. Accessed August 15, 2023. https://researcher.life/blog/article/what-is-qualitative-research-methods-types-examples/
• What is quantitative research? Definition, methods, types, and examples. Researcher.Life blog. Accessed August 15, 2023. https://researcher.life/blog/article/what-is-quantitative-research-types-and-examples/
• Data analysis in research: Types & methods. QuestionPro website. Accessed August 16, 2023. https://www.questionpro.com/blog/data-analysis-in-research/#Data_analysis_in_qualitative_research
• Factors to consider while choosing the right research methodology. PhD Monster website. Accessed August 17, 2023. https://www.phdmonster.com/factors-to-consider-while-choosing-the-right-research-methodology/
• What is research methodology? Research and writing guides. Accessed August 14, 2023. https://paperpile.com/g/what-is-research-methodology/
• Ethical considerations. Business research methodology website. Accessed August 17, 2023. https://research-methodology.net/research-methodology/ethical-considerations/

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Engaging With Research

Writing about Research

Determining a topic and finding relevant resources are only the beginning steps in the research process. Once you locate sources, you actually have to read them and determine how useful and relevant they are for your particular research context.

Understanding and Documenting the Information

Remember, our own ethos relies, in part, on the quality of the secondary research sources we use. That is, the sources we use can either add or detract from our overall credibility.  Therefore, reviewing, processing, and documenting information is an integral part of the research process.  Below, we discuss a variety of strategies for effectively understanding and documenting sources.

Skimming is the process of reading key parts of a text in order to get an overview of an author’s argument and main ideas. There are many different methods for skimming, so you will have to determine which works best for you and your particular source.

Well-written texts such as essays, articles, and book chapters are generally formatted in similar ways:

Introduction: provides the main idea/thesis as well as overview of the text’s structure Body: provides claims, arguments, evidence, support and so on to support thesis Conclusion: provides connections to larger contexts, suggests implications, ask questions, and revisit the main ideas

Ideally, the main ideas will be presented in the introduction, elaborated on in detail in the body, and reviewed in the conclusion.  Further, many sources will contain headings or subheadings to organize points and examples, and well-written paragraphs generally have clear topic sentences, or sentences that provide the main idea(s) discussed in the paragraph. All of these aspects will help you skim while developing a sense of the argument and main ideas.

When you skim a source, consider the following process:

• Read the introduction (this could be a few paragraphs long).
• Scan the document for headings. In a shorter article, there may not be any headings or there may be only a couple.
• Whenever you see a new heading, be sure to read at least the first few sentences under the heading and the final few sentences of the section.
• Read the conclusion.

Example:  Skimming a Book

When we encounter a text for a first time, it’s a good idea to skim through to see if we need to take a further look at it in our research.  One method for doing this is referred to as the First Sentence Technique, which entails reading the introduction, the first sentence of each paragraph, and the conclusion. This approach can be useful for taking notes and creating summaries of sources.  

A slightly more in-depth approach can deepen your understanding of the text and help you identify particular sections or even other resources that might be helpful:

• Scan the preface, acknowledgements, and table of contents. (This identifies the methods and framework for the book.)
• Scan the notes at the end of chapters to better understand the author’s research.
• Scan the index to see if the book covers the information you need.
• Read the introductory paragraphs for each chapter. (This can help you better understand the structure and arguments of the book.)

Taking Notes

Taking notes is a central component of the research process. While you skim the articles, record important information, beginning with publication information. Publication information provides a sense of the rhetorical situation for the source, such as intended audience and context. As you encounter texts in your research, consider its role in your project and take note of the publication information as noted.  Recording the publication information as you go will help avoid problems or mistakes when citing and building the reference list.

You may think: what should I record from the sources other than the publication information? The goal of research notes is to help you remember information and quickly access important details. You should write down the following details:

• Thesis statement
• Major points or claims
• Evidence, support and/or examples
• Headings (depending on the source)

You may want to write down the thesis, points, and claims exactly as they appear in the source. However, whenever you copy the language exactly, be sure to use quotation marks to indicate that the information is coming directly from a source/author. 

Restating the Information in Your Own Words

After taking the time to skim and take notes, you should also put the author’s thesis and ideas into your own words. This ensures that you truly understand the source and the author’s points. There are two major ways to approach this process: summary and paraphrase.

Summaries are condensed versions of the original source, in your own words. Summaries focus on the main ideas, but do not copy any of the original language. A 500 page book or a 2 hour movie could be summarized in a sentence. Summaries do not contain the same level of detail as the original source.

Example:  Summary

The following text demonstrates a summary of an original passage:

Original Text

“Lead can enter drinking water when service pipes that contain lead corrode, especially where the water has high acidity or low mineral content that corrodes pipes and fixtures. The most common problem is with brass or chrome-plated brass faucets and fixtures with lead solder, from which significant amounts of lead can enter into the water, especially hot water.”

Water becomes contaminated by lead when lead pipes, solder, or certain types of fixtures degrade, and hot water can increase the amount lead released.

Environmental Protection Agency. (2016). Basic information about lead in drinking water. Retrieved from https://www.epa.gov/ground-water-and-drinking-water/basic-information-about-lead-drinking-water

Similarly, paraphrases are restatements of source material, in your own words, but the difference is that paraphrases tend to be closer in length to the original source. Paraphrases have the same level of detail as the original. Remember, though, if you copy from the original even two or three words in a row you must provide quotation marks around those words.

Example: Paraphrase

Water becomes contaminated by lead when lead pipes or lead solder degrades. Certain types of fixtures, such as those plated with chrome and brass, as well as hot water, acidic water, and water with lower amounts of minerals can make lead contamination significantly worse.

Regardless of whether you choose to directly quote, summarize, or paraphrase a source, you  must document the source material.   Failure to do so is plagiarism and can lead to allegations of academic or workplace dishonesty.

Annotated Bibliographies*

Annotated bibliographies are a common step in the research process. Annotated bibliographies are exploratory in nature—they help writers organize their thoughts and sources about a topic and help writers determine a direction for their research. Depending on the academic discipline, purpose, and instructor preference, the style, content, and even the name of annotations can vary. This document is a basic overview, so please confirm details of your annotated bibliography with your instructor.

Purposes of an annotated bibliography

For you: During the research and writing process, the annotated bibliography helps you, the researcher, keep track of the changing relevance of sources as you develop your ideas. It also helps you save time by focusing on each author’s essential ideas (which helps you make connections between sources), and it can help you begin the process of composing your project.

For others: During the research process, annotated bibliographies also help show your instructor that you are consulting idea-generating and relevant sources and, more importantly, that you understand the significance of and relationship between your sources. When you seek assistance from your librarian, annotated bibliographies also help the librarian guide you toward the best available sources. Finally, annotated bibliographies help your writing consultant/tutor work with you more efficiently on integrating an author’s ideas into your writing.

What is an annotation?

Generally, an annotation provides a summary of the major ideas in a source, such as the source’s thesis (argument) and major supporting details; an evaluation of the ideas and points in the source; and a sense of how the source connects with your project and other sources in the annotated bibliography.

Questions to consider as you compose your annotation:

• What is the thesis (main argument of the source), and what is the general purpose of the source?
• Who is the author and what are his/her credentials? Who is the intended audience?\
• What theoretical or ideological assumptions does the author advocate, and where or how does that appear in the source?
• What topics does the source cover? What types of evidence does it use?
• What parts of the argument or analysis are particularly persuasive, what parts are not, and why?
• What types of rhetorical appeals (ethos, pathos, logos)  does the author use in the development, deployment, and support of their ideas?
• How is this source useful, or not useful, to your project? How does it help you advance the argument for your project?
• How well does the source relate to or not relate to the other sources in your annotated bibliography?

What are the parts of an annotated bibliography?

• The first part of every entry in an annotated bibliography is a citation of the source. Follow the citation style preferred by your instructor.
• The second part of every entry is an annotation or description of the source. Annotations can vary in length, depending on the purposes of the annotated bibliography. Generally, the annotation will contain some information about the author’s credentials/authority, followed by a brief summary of the source, taking into consideration the audience, author’s viewpoint, and the thesis statement. Assessments of the source can appear anywhere, but it is commonly featured at the end of the annotation. Consider whether you found the argument or analysis persuasive, whether this source is useful to you, and why. You may also include any relevant links to other sources.

Sample, APA style:

Tien, F. and Fu, T. (2008). The correlates of the digital divide and their impact on college

student learning. Computers and Education 50(1): 421-436. doi:10.1016/j.compedu.2006.07.005

Although Taiwanese scholars 1 Tien and Fu focus on Taiwanese college students, a significant portion of the article is pertinent to a U.S. context. First, the authors acknowledge that most discussion of the “digital divide” incorrectly simplifies the issue of technological access. 2a  As a result, they discuss what they call the three dimensions of the digital divide: access; use and knowledge; and skills (422). 2b This recognizes what several other sources in my bibliography have touched upon: access does not mean use nor does it mean knowledge or skills to effectively use digital technologies. 3a Second, they explain that many countries, the US and Taiwan included, depend upon education at all levels to combat the digital divide(s). The issue is that there are deficiencies within educational systems which sometimes work to reinforce the divides already in place. 3b Tien and Fu claim, however, that educational contexts hold the most possibility for combating the digital divide(s). 3c Tien and Fu claim that demographic and socio-economic background had no significant influence on accurately predicting computer use, 3d which contrasts with claims of other sources such as Kirtley. 4 However, gender and major did appear to have an influence on computer use; Tien and Fu note, for example, that female students tended to devote more focused computer time on academic-related work. 3e Overall, the first half of the article that breaks down the different dimensions of the digital divide is the most useful for my project. 5

1. This establishes the authority of the authors and evaluates the source’s usefulness in an American context.

2a/2b. Establishes the argument of the article.

3a. Specific supporting details; establishes connection with other sources in bibliography.

3b/3c/3d/3e. Specific supporting details.

4. Establishes connection to other sources in bibliography.

5. Establishes usefulness for specific project.

*This content adapted from a handout created by the Center for the Study and Teaching of Writing at OSU. Emphasis (color) added and sample modified to APA format.

Research Conversations

Research is about understanding the prevailing opinions, arguments, facts, and details about a given topic. This requires reading what others have already said and published about a topic. We can understand this as the conversation about the topic. For most topics and issues, there can be multiple conversations, each grounded in a specific context, culture, and field of study. Rhetorician Kenneth Burke (1941) calls this the “parlor conversation.”

You come late.  When you arrive, others have long preceded you, and they are engaged in a heated discussion, a discussion too heated for them to pause and tell you exactly what it is about. … You listen for a while, until you decide that you have caught the tenor of the argument; then you put in your oar.  Someone answers, you answer him; another comes to your defense; another aligns himself against you. … The hour grows late, you must depart.  And you do depart, with the discussion still vigorously in progress. (Burke, 1941, p. 110)

In other words, before you can effectively and persuasively enter into any conversation, you must understand and consider what others have already said. Otherwise you may simply replicate others’ ideas, ask questions or raise issues that have already been resolved, or otherwise lack the knowledge and information needed to make productive and persuasive contributions to the topic.

Academic writing requires presenting your sources and your ideas effectively to readers. According to Graff and Birkenstein (2006), authors of the book They Say, I Say , the first element in the process involves “entering a conversation about ideas” between you—the writer—and your sources to reflect your critical thinking (p. ix). Graff and Birkenstein provide templates (a quick Google search for “They Say I Say templates” brings up many examples) for organizing your ideas in relation to other research, your thesis, supporting evidence, opposing evidence, and the conclusion of your and others’ arguments.

You are likely already aware of the ‘“they say/I say” format. A common version of this is:

“On the one hand, ______________. On the other hand, ______________.”

When talking about research, you might begin with “on the one hand, Researcher X (2015) claims…..” and then insert, “on the other hand, I argue…..” Or, you may use this construction to put two sources in conversation before inserting your ideas. For example:

On the one hand, Researcher X (2015) claims…..On the other hand, Researcher Y (2016) argues…Building on Researcher X and Researcher Y, I contend…

What is most important to remember about integrating research and your own ideas is that you must provide clear attribution of ideas in the text. Attribution is not only about citations, but also about providing textual clues about source material and its origins. Sometimes this is described as introducing and explaining and sometimes it is described as sandwiching a quotation or idea. For example:

According to Researcher X (2015), “information directly quoted from source” (p. 20). That is, [explanation, justification, or other explication on the quoted material].

A Guide to Technical Communications: Strategies & Applications Copyright © 2016 by Lynn Hall & Leah Wahlin is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License , except where otherwise noted.

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Planning research with generative ai.

April 5, 2024 2024-04-05

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AI chatbots (like ChatGPT, Google’s Gemini, and Microsoft Copilot) can support UX researchers of all experience levels in planning their research.

In This Article:

What is a research plan, using ai chatbots to write a research plan.

Good research always starts with a plan.

A research plan is a document that outlines the research objectives and how the research will be executed.

Research plans should include:

• The research goals or questions that the research is hoping to achieve or answer
• The method to be used and a description of how it will be carried out
• The tasks or questions that will be given to study participants
• The profile of the target participants
• The screener questionnaire used to recruit participants

Creating a research plan can be time-consuming. Even with a good template, a researcher must generate research questions, select the appropriate method(s), decide how to run sessions, and often create study collateral (like screeners and tasks) from scratch. The good news is that AI can help with many, if not all, of these tasks!

It can be tempting to just ask an AI tool to give you a research plan for a project. Don’t do that.

❌ Bad Prompt : Generate a research plan for a usability test of a food-delivery app.

This kind of request results in a generic, template-like response, partly because AI lacks the context to propose a complete research plan and partly because of how the model has been trained.

To construct a useful research plan, deconstruct the plan into parts and have the AI chatbot tackle each part individually. You can assemble responses in a final research plan.

Don’t expect the AI to ask you the right questions in order to get a comprehensive outcome. View the AI tool as a UX assistant , not as a UX mentor. You need to feed into the AI all the steps and details you want it to consider.

Follow the steps below for the best results.

Step 1: Provide Context

Imagine asking an experienced colleague for recommendations on what research study to run without giving them any context on what project you’re working on and what you’re trying to achieve. They would probably say, "It depends on what you’re trying to learn.” Conversing with AI presents no exception.

Start your conversation with enough context , especially if the AI tool does not already have this information stored about you or your current project. ( ChatGPT 4 allows users to store context for each new conversation.)

The contextual information you share should include who you work for, the scope of your project, and what you’re looking to achieve. Remember that some AI tools may use your conversations to train their models, so share only information you would be comfortable with being in the open domain.

 Prompt Template: I work for [type or organization] . My company provides [what kind of product, service, or experience] . I need to run a user-research study to learn [something about users or a problem] .

Step 2: Generate Research Questions

After providing the AI tool with context, ask it to suggest specific research questions for the study. Here’s an example from a recent study on research repositories that I conducted for NN/g.

Prompt Example: I will run a research study and report on how UX practitioners across different organizations set up and use research repositories. Please generate 10 research questions that would be suitable for this sort of study.

It’s a good idea to ask generative AI tools for more options or ideas than you think you’ll need, because some will not be a good fit.

Microsoft Copilot responded to the prompt above with the 10 research questions below.

10 Research questions generated by Microsoft Copilot

Who are the primary users of the research repository within different organizations? What motivates users to engage with the research repository? How do different teams (design, product, sales, marketing) access and benefit from the research repository? What challenges do practitioners face when contributing to or retrieving information from the repository? What types of research artifacts (reports, raw data, templates) are most commonly stored in the repository? How do organizations structure their research repositories? What tools and templates are commonly used to facilitate research repository management? How do practitioners ensure the quality and accuracy of information in the repository? What impact does the research repository have on decision-making and project outcomes? What strategies can organizations implement to encourage widespread adoption and active participation in the research repository?

To broaden your pool of research questions, ask for further research questions or provide the same prompt in a new session. Repeat this process as many times as you need to generate a list that feels exhaustive of what you’d like to learn.

Some of the research questions Copilot generated for me were appropriate, and others were not. As a result, I had AI generate more research questions to choose from.

Unfortunately, most AI chatbots don’t offer an easy way to dismiss suggestions or combine specific responses and work from only these (a behavior called apple-picking ).

Pulling in generated research questions into an offline document (like a FigJam or Google Doc) allows you to easily group items, remove duplicates, or reword suggested research questions.

Begin a new chat session with your selected and refined set of research questions, so that the unwanted research questions are removed from the chat history.

Step 3: Request Methods

After sharing the context and your chosen research questions, ask the AI tool to identify suitable research methods.

Example Prompt : What study would you suggest to answer these research questions? Please be specific; cite which research questions would be answered by which research method if you suggest multiple methods.

Generative-AI advice is not always good advice. Often, these tools will suggest various methods and suggest you triangulate data from multiple sources. This approach is not always needed. Also, not all methods will be practical or the best fit for your study. Additionally, AI may suggest interviews and focus groups even for research questions better suited to a behavioral research method .

Ask AI chatbots to tell you which research methods would be suited to which research question and why. We also recommend doing some further reading on your own about any methods that are unfamiliar to you.

In response to the prompt above (and given my chosen research questions), ChatGPT recommended a survey, interviews with select UX practitioners, and case studies. These were all my chosen methods, so AI had done well here!

Step 4: Request Inclusion Criteria

AI can create inclusion criteria — a necessary component of your research plan. Do this step only after generating research questions and methods since these will inform who should participate in the research study.

Inclusion criteria (or recruitment criteria) are specific characteristics of the target population that need to be represented in your sample.

Start with inclusion criteria before asking the AI to help you write a screening questionnaire ; AI can only craft an appropriate screener after it “knows” who you’re looking to recruit.

Example Prompt: So that I recruit the right people for my interviews, help me create some inclusion criteria. What characteristics or behaviors should I recruit for?

Step 5: Request Help with Screeners, Interview Questions, and Tasks

Finally, ask the AI to put together:

• Interview questions or an interview guide (if conducting interviews)
• Tasks for a usability test
• Diary-study prompts (if relevant)
• Recruitment confirmation emails or other communication messages.

Unfortunately, there are a lot of bad examples of the above on the web. Conversational AI has been trained on all this data. Therefore, don’t be surprised if it produces poor study collateral on its first attempt! This is a major risk area for new researchers.

One way to mitigate this danger is to give the AI tool advice when crafting any of these outputs . Think of AI as a new research assistant who can learn extremely quickly.

Common mistakes that AI tools make include:

• Using words that appear in the interface in task instructions (priming)
• Creating task instructions that ask users to imagine they are someone that they are not
• Not including a goal or a call to action in the task instruction
• Not including distractor options in screening questionnaires
• Using overenthusiastic marketing language in recruitment materials

It’s not surprising that AI makes these mistakes since UX practitioners also make them!

To improve outputs, feed the AI essential tips, such as:

• When crafting tasks: Do not use the name of words or link labels in the task instruction. Find a natural-language equivalent to explain what the participant should do . (You can ask AI to “read” a website or an image.)
• When crafting recruitment materials: Use neutral and concise language in the recruitment email. Avoid using overly enthusiastic marketing language.
• When crafting a screener: Include multiple-choice questions and answer options that might disguise what the study is about and who I am looking to recruit.

Additionally, when possible, feed the AI with good examples of screener questionnaires, tasks, or interview questions, so it can follow their format or style.

Even with this advice, AI can still make mistakes. If you’re doubting its answers, check primary sources or speak with an experienced researcher for old-fashioned human guidance.

If you have ChatGPT’s Plus Plan, you can use our GPT for planning your research.

With the proper context, examples, and advice, AI tools, like ChatGPT and Microsoft Copilot, can craft helpful research questions, tasks, interview questions, and other study collateral far more quickly than you could if you started from scratch.

Research leads and ResearchOps personnel can support junior researchers and PWDRs (People Who Do Research) by providing examples and advice that can be fed to AI agents. Experienced researchers can benefit from using AI to speed up their research-planning process and obtain further inspiration.

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• Supinya Piampongsant 1 , 2 , 3   na1 ,
• Miguel Roncoroni   ORCID: orcid.org/0000-0001-7461-1427 1 , 2 , 3   na1 ,
• Lloyd Cool   ORCID: orcid.org/0000-0001-9936-3124 1 , 2 , 3 , 4 ,
• Beatriz Herrera-Malaver   ORCID: orcid.org/0000-0002-5096-9974 1 , 2 , 3 ,
• Christophe Vanderaa   ORCID: orcid.org/0000-0001-7443-5427 4 ,
• Florian A. Theßeling 1 , 2 , 3 ,
• Łukasz Kreft   ORCID: orcid.org/0000-0001-7620-4657 5 ,
• Alexander Botzki   ORCID: orcid.org/0000-0001-6691-4233 5 ,
• Philippe Malcorps 6 ,
• Luk Daenen 6 ,
• Tom Wenseleers   ORCID: orcid.org/0000-0002-1434-861X 4 &
• Kevin J. Verstrepen   ORCID: orcid.org/0000-0002-3077-6219 1 , 2 , 3  

Nature Communications volume  15 , Article number:  2368 ( 2024 ) Cite this article

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• Chemical engineering
• Gas chromatography
• Machine learning
• Metabolomics
• Taste receptors

The perception and appreciation of food flavor depends on many interacting chemical compounds and external factors, and therefore proves challenging to understand and predict. Here, we combine extensive chemical and sensory analyses of 250 different beers to train machine learning models that allow predicting flavor and consumer appreciation. For each beer, we measure over 200 chemical properties, perform quantitative descriptive sensory analysis with a trained tasting panel and map data from over 180,000 consumer reviews to train 10 different machine learning models. The best-performing algorithm, Gradient Boosting, yields models that significantly outperform predictions based on conventional statistics and accurately predict complex food features and consumer appreciation from chemical profiles. Model dissection allows identifying specific and unexpected compounds as drivers of beer flavor and appreciation. Adding these compounds results in variants of commercial alcoholic and non-alcoholic beers with improved consumer appreciation. Together, our study reveals how big data and machine learning uncover complex links between food chemistry, flavor and consumer perception, and lays the foundation to develop novel, tailored foods with superior flavors.

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Introduction

Predicting and understanding food perception and appreciation is one of the major challenges in food science. Accurate modeling of food flavor and appreciation could yield important opportunities for both producers and consumers, including quality control, product fingerprinting, counterfeit detection, spoilage detection, and the development of new products and product combinations (food pairing) 1 , 2 , 3 , 4 , 5 , 6 . Accurate models for flavor and consumer appreciation would contribute greatly to our scientific understanding of how humans perceive and appreciate flavor. Moreover, accurate predictive models would also facilitate and standardize existing food assessment methods and could supplement or replace assessments by trained and consumer tasting panels, which are variable, expensive and time-consuming 7 , 8 , 9 . Lastly, apart from providing objective, quantitative, accurate and contextual information that can help producers, models can also guide consumers in understanding their personal preferences 10 .

Despite the myriad of applications, predicting food flavor and appreciation from its chemical properties remains a largely elusive goal in sensory science, especially for complex food and beverages 11 , 12 . A key obstacle is the immense number of flavor-active chemicals underlying food flavor. Flavor compounds can vary widely in chemical structure and concentration, making them technically challenging and labor-intensive to quantify, even in the face of innovations in metabolomics, such as non-targeted metabolic fingerprinting 13 , 14 . Moreover, sensory analysis is perhaps even more complicated. Flavor perception is highly complex, resulting from hundreds of different molecules interacting at the physiochemical and sensorial level. Sensory perception is often non-linear, characterized by complex and concentration-dependent synergistic and antagonistic effects 15 , 16 , 17 , 18 , 19 , 20 , 21 that are further convoluted by the genetics, environment, culture and psychology of consumers 22 , 23 , 24 . Perceived flavor is therefore difficult to measure, with problems of sensitivity, accuracy, and reproducibility that can only be resolved by gathering sufficiently large datasets 25 . Trained tasting panels are considered the prime source of quality sensory data, but require meticulous training, are low throughput and high cost. Public databases containing consumer reviews of food products could provide a valuable alternative, especially for studying appreciation scores, which do not require formal training 25 . Public databases offer the advantage of amassing large amounts of data, increasing the statistical power to identify potential drivers of appreciation. However, public datasets suffer from biases, including a bias in the volunteers that contribute to the database, as well as confounding factors such as price, cult status and psychological conformity towards previous ratings of the product.

Classical multivariate statistics and machine learning methods have been used to predict flavor of specific compounds by, for example, linking structural properties of a compound to its potential biological activities or linking concentrations of specific compounds to sensory profiles 1 , 26 . Importantly, most previous studies focused on predicting organoleptic properties of single compounds (often based on their chemical structure) 27 , 28 , 29 , 30 , 31 , 32 , 33 , thus ignoring the fact that these compounds are present in a complex matrix in food or beverages and excluding complex interactions between compounds. Moreover, the classical statistics commonly used in sensory science 34 , 35 , 36 , 37 , 38 , 39 require a large sample size and sufficient variance amongst predictors to create accurate models. They are not fit for studying an extensive set of hundreds of interacting flavor compounds, since they are sensitive to outliers, have a high tendency to overfit and are less suited for non-linear and discontinuous relationships 40 .

In this study, we combine extensive chemical analyses and sensory data of a set of different commercial beers with machine learning approaches to develop models that predict taste, smell, mouthfeel and appreciation from compound concentrations. Beer is particularly suited to model the relationship between chemistry, flavor and appreciation. First, beer is a complex product, consisting of thousands of flavor compounds that partake in complex sensory interactions 41 , 42 , 43 . This chemical diversity arises from the raw materials (malt, yeast, hops, water and spices) and biochemical conversions during the brewing process (kilning, mashing, boiling, fermentation, maturation and aging) 44 , 45 . Second, the advent of the internet saw beer consumers embrace online review platforms, such as RateBeer (ZX Ventures, Anheuser-Busch InBev SA/NV) and BeerAdvocate (Next Glass, inc.). In this way, the beer community provides massive data sets of beer flavor and appreciation scores, creating extraordinarily large sensory databases to complement the analyses of our professional sensory panel. Specifically, we characterize over 200 chemical properties of 250 commercial beers, spread across 22 beer styles, and link these to the descriptive sensory profiling data of a 16-person in-house trained tasting panel and data acquired from over 180,000 public consumer reviews. These unique and extensive datasets enable us to train a suite of machine learning models to predict flavor and appreciation from a beer’s chemical profile. Dissection of the best-performing models allows us to pinpoint specific compounds as potential drivers of beer flavor and appreciation. Follow-up experiments confirm the importance of these compounds and ultimately allow us to significantly improve the flavor and appreciation of selected commercial beers. Together, our study represents a significant step towards understanding complex flavors and reinforces the value of machine learning to develop and refine complex foods. In this way, it represents a stepping stone for further computer-aided food engineering applications 46 .

To generate a comprehensive dataset on beer flavor, we selected 250 commercial Belgian beers across 22 different beer styles (Supplementary Fig.  S1 ). Beers with ≤ 4.2% alcohol by volume (ABV) were classified as non-alcoholic and low-alcoholic. Blonds and Tripels constitute a significant portion of the dataset (12.4% and 11.2%, respectively) reflecting their presence on the Belgian beer market and the heterogeneity of beers within these styles. By contrast, lager beers are less diverse and dominated by a handful of brands. Rare styles such as Brut or Faro make up only a small fraction of the dataset (2% and 1%, respectively) because fewer of these beers are produced and because they are dominated by distinct characteristics in terms of flavor and chemical composition.

Extensive analysis identifies relationships between chemical compounds in beer

For each beer, we measured 226 different chemical properties, including common brewing parameters such as alcohol content, iso-alpha acids, pH, sugar concentration 47 , and over 200 flavor compounds (Methods, Supplementary Table  S1 ). A large portion (37.2%) are terpenoids arising from hopping, responsible for herbal and fruity flavors 16 , 48 . A second major category are yeast metabolites, such as esters and alcohols, that result in fruity and solvent notes 48 , 49 , 50 . Other measured compounds are primarily derived from malt, or other microbes such as non- Saccharomyces yeasts and bacteria (‘wild flora’). Compounds that arise from spices or staling are labeled under ‘Others’. Five attributes (caloric value, total acids and total ester, hop aroma and sulfur compounds) are calculated from multiple individually measured compounds.

As a first step in identifying relationships between chemical properties, we determined correlations between the concentrations of the compounds (Fig.  1 , upper panel, Supplementary Data  1 and 2 , and Supplementary Fig.  S2 . For the sake of clarity, only a subset of the measured compounds is shown in Fig.  1 ). Compounds of the same origin typically show a positive correlation, while absence of correlation hints at parameters varying independently. For example, the hop aroma compounds citronellol, and alpha-terpineol show moderate correlations with each other (Spearman’s rho=0.39 and 0.57), but not with the bittering hop component iso-alpha acids (Spearman’s rho=0.16 and −0.07). This illustrates how brewers can independently modify hop aroma and bitterness by selecting hop varieties and dosage time. If hops are added early in the boiling phase, chemical conversions increase bitterness while aromas evaporate, conversely, late addition of hops preserves aroma but limits bitterness 51 . Similarly, hop-derived iso-alpha acids show a strong anti-correlation with lactic acid and acetic acid, likely reflecting growth inhibition of lactic acid and acetic acid bacteria, or the consequent use of fewer hops in sour beer styles, such as West Flanders ales and Fruit beers, that rely on these bacteria for their distinct flavors 52 . Finally, yeast-derived esters (ethyl acetate, ethyl decanoate, ethyl hexanoate, ethyl octanoate) and alcohols (ethanol, isoamyl alcohol, isobutanol, and glycerol), correlate with Spearman coefficients above 0.5, suggesting that these secondary metabolites are correlated with the yeast genetic background and/or fermentation parameters and may be difficult to influence individually, although the choice of yeast strain may offer some control 53 .

Spearman rank correlations are shown. Descriptors are grouped according to their origin (malt (blue), hops (green), yeast (red), wild flora (yellow), Others (black)), and sensory aspect (aroma, taste, palate, and overall appreciation). Please note that for the chemical compounds, for the sake of clarity, only a subset of the total number of measured compounds is shown, with an emphasis on the key compounds for each source. For more details, see the main text and Methods section. Chemical data can be found in Supplementary Data  1 , correlations between all chemical compounds are depicted in Supplementary Fig.  S2 and correlation values can be found in Supplementary Data  2 . See Supplementary Data  4 for sensory panel assessments and Supplementary Data  5 for correlation values between all sensory descriptors.

Interestingly, different beer styles show distinct patterns for some flavor compounds (Supplementary Fig.  S3 ). These observations agree with expectations for key beer styles, and serve as a control for our measurements. For instance, Stouts generally show high values for color (darker), while hoppy beers contain elevated levels of iso-alpha acids, compounds associated with bitter hop taste. Acetic and lactic acid are not prevalent in most beers, with notable exceptions such as Kriek, Lambic, Faro, West Flanders ales and Flanders Old Brown, which use acid-producing bacteria ( Lactobacillus and Pediococcus ) or unconventional yeast ( Brettanomyces ) 54 , 55 . Glycerol, ethanol and esters show similar distributions across all beer styles, reflecting their common origin as products of yeast metabolism during fermentation 45 , 53 . Finally, low/no-alcohol beers contain low concentrations of glycerol and esters. This is in line with the production process for most of the low/no-alcohol beers in our dataset, which are produced through limiting fermentation or by stripping away alcohol via evaporation or dialysis, with both methods having the unintended side-effect of reducing the amount of flavor compounds in the final beer 56 , 57 .

Besides expected associations, our data also reveals less trivial associations between beer styles and specific parameters. For example, geraniol and citronellol, two monoterpenoids responsible for citrus, floral and rose flavors and characteristic of Citra hops, are found in relatively high amounts in Christmas, Saison, and Brett/co-fermented beers, where they may originate from terpenoid-rich spices such as coriander seeds instead of hops 58 .

Tasting panel assessments reveal sensorial relationships in beer

To assess the sensory profile of each beer, a trained tasting panel evaluated each of the 250 beers for 50 sensory attributes, including different hop, malt and yeast flavors, off-flavors and spices. Panelists used a tasting sheet (Supplementary Data  3 ) to score the different attributes. Panel consistency was evaluated by repeating 12 samples across different sessions and performing ANOVA. In 95% of cases no significant difference was found across sessions ( p  > 0.05), indicating good panel consistency (Supplementary Table  S2 ).

Aroma and taste perception reported by the trained panel are often linked (Fig.  1 , bottom left panel and Supplementary Data  4 and 5 ), with high correlations between hops aroma and taste (Spearman’s rho=0.83). Bitter taste was found to correlate with hop aroma and taste in general (Spearman’s rho=0.80 and 0.69), and particularly with “grassy” noble hops (Spearman’s rho=0.75). Barnyard flavor, most often associated with sour beers, is identified together with stale hops (Spearman’s rho=0.97) that are used in these beers. Lactic and acetic acid, which often co-occur, are correlated (Spearman’s rho=0.66). Interestingly, sweetness and bitterness are anti-correlated (Spearman’s rho = −0.48), confirming the hypothesis that they mask each other 59 , 60 . Beer body is highly correlated with alcohol (Spearman’s rho = 0.79), and overall appreciation is found to correlate with multiple aspects that describe beer mouthfeel (alcohol, carbonation; Spearman’s rho= 0.32, 0.39), as well as with hop and ester aroma intensity (Spearman’s rho=0.39 and 0.35).

Similar to the chemical analyses, sensorial analyses confirmed typical features of specific beer styles (Supplementary Fig.  S4 ). For example, sour beers (Faro, Flanders Old Brown, Fruit beer, Kriek, Lambic, West Flanders ale) were rated acidic, with flavors of both acetic and lactic acid. Hoppy beers were found to be bitter and showed hop-associated aromas like citrus and tropical fruit. Malt taste is most detected among scotch, stout/porters, and strong ales, while low/no-alcohol beers, which often have a reputation for being ‘worty’ (reminiscent of unfermented, sweet malt extract) appear in the middle. Unsurprisingly, hop aromas are most strongly detected among hoppy beers. Like its chemical counterpart (Supplementary Fig.  S3 ), acidity shows a right-skewed distribution, with the most acidic beers being Krieks, Lambics, and West Flanders ales.

Tasting panel assessments of specific flavors correlate with chemical composition

We find that the concentrations of several chemical compounds strongly correlate with specific aroma or taste, as evaluated by the tasting panel (Fig.  2 , Supplementary Fig.  S5 , Supplementary Data  6 ). In some cases, these correlations confirm expectations and serve as a useful control for data quality. For example, iso-alpha acids, the bittering compounds in hops, strongly correlate with bitterness (Spearman’s rho=0.68), while ethanol and glycerol correlate with tasters’ perceptions of alcohol and body, the mouthfeel sensation of fullness (Spearman’s rho=0.82/0.62 and 0.72/0.57 respectively) and darker color from roasted malts is a good indication of malt perception (Spearman’s rho=0.54).

Heatmap colors indicate Spearman’s Rho. Axes are organized according to sensory categories (aroma, taste, mouthfeel, overall), chemical categories and chemical sources in beer (malt (blue), hops (green), yeast (red), wild flora (yellow), Others (black)). See Supplementary Data  6 for all correlation values.

Interestingly, for some relationships between chemical compounds and perceived flavor, correlations are weaker than expected. For example, the rose-smelling phenethyl acetate only weakly correlates with floral aroma. This hints at more complex relationships and interactions between compounds and suggests a need for a more complex model than simple correlations. Lastly, we uncovered unexpected correlations. For instance, the esters ethyl decanoate and ethyl octanoate appear to correlate slightly with hop perception and bitterness, possibly due to their fruity flavor. Iron is anti-correlated with hop aromas and bitterness, most likely because it is also anti-correlated with iso-alpha acids. This could be a sign of metal chelation of hop acids 61 , given that our analyses measure unbound hop acids and total iron content, or could result from the higher iron content in dark and Fruit beers, which typically have less hoppy and bitter flavors 62 .

Public consumer reviews complement expert panel data

To complement and expand the sensory data of our trained tasting panel, we collected 180,000 reviews of our 250 beers from the online consumer review platform RateBeer. This provided numerical scores for beer appearance, aroma, taste, palate, overall quality as well as the average overall score.

Public datasets are known to suffer from biases, such as price, cult status and psychological conformity towards previous ratings of a product. For example, prices correlate with appreciation scores for these online consumer reviews (rho=0.49, Supplementary Fig.  S6 ), but not for our trained tasting panel (rho=0.19). This suggests that prices affect consumer appreciation, which has been reported in wine 63 , while blind tastings are unaffected. Moreover, we observe that some beer styles, like lagers and non-alcoholic beers, generally receive lower scores, reflecting that online reviewers are mostly beer aficionados with a preference for specialty beers over lager beers. In general, we find a modest correlation between our trained panel’s overall appreciation score and the online consumer appreciation scores (Fig.  3 , rho=0.29). Apart from the aforementioned biases in the online datasets, serving temperature, sample freshness and surroundings, which are all tightly controlled during the tasting panel sessions, can vary tremendously across online consumers and can further contribute to (among others, appreciation) differences between the two categories of tasters. Importantly, in contrast to the overall appreciation scores, for many sensory aspects the results from the professional panel correlated well with results obtained from RateBeer reviews. Correlations were highest for features that are relatively easy to recognize even for untrained tasters, like bitterness, sweetness, alcohol and malt aroma (Fig.  3 and below).

RateBeer text mining results can be found in Supplementary Data  7 . Rho values shown are Spearman correlation values, with asterisks indicating significant correlations ( p  < 0.05, two-sided). All p values were smaller than 0.001, except for Esters aroma (0.0553), Esters taste (0.3275), Esters aroma—banana (0.0019), Coriander (0.0508) and Diacetyl (0.0134).

Besides collecting consumer appreciation from these online reviews, we developed automated text analysis tools to gather additional data from review texts (Supplementary Data  7 ). Processing review texts on the RateBeer database yielded comparable results to the scores given by the trained panel for many common sensory aspects, including acidity, bitterness, sweetness, alcohol, malt, and hop tastes (Fig.  3 ). This is in line with what would be expected, since these attributes require less training for accurate assessment and are less influenced by environmental factors such as temperature, serving glass and odors in the environment. Consumer reviews also correlate well with our trained panel for 4-vinyl guaiacol, a compound associated with a very characteristic aroma. By contrast, correlations for more specific aromas like ester, coriander or diacetyl are underrepresented in the online reviews, underscoring the importance of using a trained tasting panel and standardized tasting sheets with explicit factors to be scored for evaluating specific aspects of a beer. Taken together, our results suggest that public reviews are trustworthy for some, but not all, flavor features and can complement or substitute taste panel data for these sensory aspects.

Models can predict beer sensory profiles from chemical data

The rich datasets of chemical analyses, tasting panel assessments and public reviews gathered in the first part of this study provided us with a unique opportunity to develop predictive models that link chemical data to sensorial features. Given the complexity of beer flavor, basic statistical tools such as correlations or linear regression may not always be the most suitable for making accurate predictions. Instead, we applied different machine learning models that can model both simple linear and complex interactive relationships. Specifically, we constructed a set of regression models to predict (a) trained panel scores for beer flavor and quality and (b) public reviews’ appreciation scores from beer chemical profiles. We trained and tested 10 different models (Methods), 3 linear regression-based models (simple linear regression with first-order interactions (LR), lasso regression with first-order interactions (Lasso), partial least squares regressor (PLSR)), 5 decision tree models (AdaBoost regressor (ABR), extra trees (ET), gradient boosting regressor (GBR), random forest (RF) and XGBoost regressor (XGBR)), 1 support vector regression (SVR), and 1 artificial neural network (ANN) model.

To compare the performance of our machine learning models, the dataset was randomly split into a training and test set, stratified by beer style. After a model was trained on data in the training set, its performance was evaluated on its ability to predict the test dataset obtained from multi-output models (based on the coefficient of determination, see Methods). Additionally, individual-attribute models were ranked per descriptor and the average rank was calculated, as proposed by Korneva et al. 64 . Importantly, both ways of evaluating the models’ performance agreed in general. Performance of the different models varied (Table  1 ). It should be noted that all models perform better at predicting RateBeer results than results from our trained tasting panel. One reason could be that sensory data is inherently variable, and this variability is averaged out with the large number of public reviews from RateBeer. Additionally, all tree-based models perform better at predicting taste than aroma. Linear models (LR) performed particularly poorly, with negative R 2 values, due to severe overfitting (training set R 2  = 1). Overfitting is a common issue in linear models with many parameters and limited samples, especially with interaction terms further amplifying the number of parameters. L1 regularization (Lasso) successfully overcomes this overfitting, out-competing multiple tree-based models on the RateBeer dataset. Similarly, the dimensionality reduction of PLSR avoids overfitting and improves performance, to some extent. Still, tree-based models (ABR, ET, GBR, RF and XGBR) show the best performance, out-competing the linear models (LR, Lasso, PLSR) commonly used in sensory science 65 .

GBR models showed the best overall performance in predicting sensory responses from chemical information, with R 2 values up to 0.75 depending on the predicted sensory feature (Supplementary Table  S4 ). The GBR models predict consumer appreciation (RateBeer) better than our trained panel’s appreciation (R 2 value of 0.67 compared to R 2 value of 0.09) (Supplementary Table  S3 and Supplementary Table  S4 ). ANN models showed intermediate performance, likely because neural networks typically perform best with larger datasets 66 . The SVR shows intermediate performance, mostly due to the weak predictions of specific attributes that lower the overall performance (Supplementary Table  S4 ).

Model dissection identifies specific, unexpected compounds as drivers of consumer appreciation

Next, we leveraged our models to infer important contributors to sensory perception and consumer appreciation. Consumer preference is a crucial sensory aspects, because a product that shows low consumer appreciation scores often does not succeed commercially 25 . Additionally, the requirement for a large number of representative evaluators makes consumer trials one of the more costly and time-consuming aspects of product development. Hence, a model for predicting chemical drivers of overall appreciation would be a welcome addition to the available toolbox for food development and optimization.

Since GBR models on our RateBeer dataset showed the best overall performance, we focused on these models. Specifically, we used two approaches to identify important contributors. First, rankings of the most important predictors for each sensorial trait in the GBR models were obtained based on impurity-based feature importance (mean decrease in impurity). High-ranked parameters were hypothesized to be either the true causal chemical properties underlying the trait, to correlate with the actual causal properties, or to take part in sensory interactions affecting the trait 67 (Fig.  4A ). In a second approach, we used SHAP 68 to determine which parameters contributed most to the model for making predictions of consumer appreciation (Fig.  4B ). SHAP calculates parameter contributions to model predictions on a per-sample basis, which can be aggregated into an importance score.

A The impurity-based feature importance (mean deviance in impurity, MDI) calculated from the Gradient Boosting Regression (GBR) model predicting RateBeer appreciation scores. The top 15 highest ranked chemical properties are shown. B SHAP summary plot for the top 15 parameters contributing to our GBR model. Each point on the graph represents a sample from our dataset. The color represents the concentration of that parameter, with bluer colors representing low values and redder colors representing higher values. Greater absolute values on the horizontal axis indicate a higher impact of the parameter on the prediction of the model. C Spearman correlations between the 15 most important chemical properties and consumer overall appreciation. Numbers indicate the Spearman Rho correlation coefficient, and the rank of this correlation compared to all other correlations. The top 15 important compounds were determined using SHAP (panel B).

Both approaches identified ethyl acetate as the most predictive parameter for beer appreciation (Fig.  4 ). Ethyl acetate is the most abundant ester in beer with a typical ‘fruity’, ‘solvent’ and ‘alcoholic’ flavor, but is often considered less important than other esters like isoamyl acetate. The second most important parameter identified by SHAP is ethanol, the most abundant beer compound after water. Apart from directly contributing to beer flavor and mouthfeel, ethanol drastically influences the physical properties of beer, dictating how easily volatile compounds escape the beer matrix to contribute to beer aroma 69 . Importantly, it should also be noted that the importance of ethanol for appreciation is likely inflated by the very low appreciation scores of non-alcoholic beers (Supplementary Fig.  S4 ). Despite not often being considered a driver of beer appreciation, protein level also ranks highly in both approaches, possibly due to its effect on mouthfeel and body 70 . Lactic acid, which contributes to the tart taste of sour beers, is the fourth most important parameter identified by SHAP, possibly due to the generally high appreciation of sour beers in our dataset.

Interestingly, some of the most important predictive parameters for our model are not well-established as beer flavors or are even commonly regarded as being negative for beer quality. For example, our models identify methanethiol and ethyl phenyl acetate, an ester commonly linked to beer staling 71 , as a key factor contributing to beer appreciation. Although there is no doubt that high concentrations of these compounds are considered unpleasant, the positive effects of modest concentrations are not yet known 72 , 73 .

To compare our approach to conventional statistics, we evaluated how well the 15 most important SHAP-derived parameters correlate with consumer appreciation (Fig.  4C ). Interestingly, only 6 of the properties derived by SHAP rank amongst the top 15 most correlated parameters. For some chemical compounds, the correlations are so low that they would have likely been considered unimportant. For example, lactic acid, the fourth most important parameter, shows a bimodal distribution for appreciation, with sour beers forming a separate cluster, that is missed entirely by the Spearman correlation. Additionally, the correlation plots reveal outliers, emphasizing the need for robust analysis tools. Together, this highlights the need for alternative models, like the Gradient Boosting model, that better grasp the complexity of (beer) flavor.

Finally, to observe the relationships between these chemical properties and their predicted targets, partial dependence plots were constructed for the six most important predictors of consumer appreciation 74 , 75 , 76 (Supplementary Fig.  S7 ). One-way partial dependence plots show how a change in concentration affects the predicted appreciation. These plots reveal an important limitation of our models: appreciation predictions remain constant at ever-increasing concentrations. This implies that once a threshold concentration is reached, further increasing the concentration does not affect appreciation. This is false, as it is well-documented that certain compounds become unpleasant at high concentrations, including ethyl acetate (‘nail polish’) 77 and methanethiol (‘sulfury’ and ‘rotten cabbage’) 78 . The inability of our models to grasp that flavor compounds have optimal levels, above which they become negative, is a consequence of working with commercial beer brands where (off-)flavors are rarely too high to negatively impact the product. The two-way partial dependence plots show how changing the concentration of two compounds influences predicted appreciation, visualizing their interactions (Supplementary Fig.  S7 ). In our case, the top 5 parameters are dominated by additive or synergistic interactions, with high concentrations for both compounds resulting in the highest predicted appreciation.

To assess the robustness of our best-performing models and model predictions, we performed 100 iterations of the GBR, RF and ET models. In general, all iterations of the models yielded similar performance (Supplementary Fig.  S8 ). Moreover, the main predictors (including the top predictors ethanol and ethyl acetate) remained virtually the same, especially for GBR and RF. For the iterations of the ET model, we did observe more variation in the top predictors, which is likely a consequence of the model’s inherent random architecture in combination with co-correlations between certain predictors. However, even in this case, several of the top predictors (ethanol and ethyl acetate) remain unchanged, although their rank in importance changes (Supplementary Fig.  S8 ).

Next, we investigated if a combination of RateBeer and trained panel data into one consolidated dataset would lead to stronger models, under the hypothesis that such a model would suffer less from bias in the datasets. A GBR model was trained to predict appreciation on the combined dataset. This model underperformed compared to the RateBeer model, both in the native case and when including a dataset identifier (R 2  = 0.67, 0.26 and 0.42 respectively). For the latter, the dataset identifier is the most important feature (Supplementary Fig.  S9 ), while most of the feature importance remains unchanged, with ethyl acetate and ethanol ranking highest, like in the original model trained only on RateBeer data. It seems that the large variation in the panel dataset introduces noise, weakening the models’ performances and reliability. In addition, it seems reasonable to assume that both datasets are fundamentally different, with the panel dataset obtained by blind tastings by a trained professional panel.

Lastly, we evaluated whether beer style identifiers would further enhance the model’s performance. A GBR model was trained with parameters that explicitly encoded the styles of the samples. This did not improve model performance (R2 = 0.66 with style information vs R2 = 0.67). The most important chemical features are consistent with the model trained without style information (eg. ethanol and ethyl acetate), and with the exception of the most preferred (strong ale) and least preferred (low/no-alcohol) styles, none of the styles were among the most important features (Supplementary Fig.  S9 , Supplementary Table  S5 and S6 ). This is likely due to a combination of style-specific chemical signatures, such as iso-alpha acids and lactic acid, that implicitly convey style information to the original models, as well as the low number of samples belonging to some styles, making it difficult for the model to learn style-specific patterns. Moreover, beer styles are not rigorously defined, with some styles overlapping in features and some beers being misattributed to a specific style, all of which leads to more noise in models that use style parameters.

Model validation

To test if our predictive models give insight into beer appreciation, we set up experiments aimed at improving existing commercial beers. We specifically selected overall appreciation as the trait to be examined because of its complexity and commercial relevance. Beer flavor comprises a complex bouquet rather than single aromas and tastes 53 . Hence, adding a single compound to the extent that a difference is noticeable may lead to an unbalanced, artificial flavor. Therefore, we evaluated the effect of combinations of compounds. Because Blond beers represent the most extensive style in our dataset, we selected a beer from this style as the starting material for these experiments (Beer 64 in Supplementary Data  1 ).

In the first set of experiments, we adjusted the concentrations of compounds that made up the most important predictors of overall appreciation (ethyl acetate, ethanol, lactic acid, ethyl phenyl acetate) together with correlated compounds (ethyl hexanoate, isoamyl acetate, glycerol), bringing them up to 95 th percentile ethanol-normalized concentrations (Methods) within the Blond group (‘Spiked’ concentration in Fig.  5A ). Compared to controls, the spiked beers were found to have significantly improved overall appreciation among trained panelists, with panelist noting increased intensity of ester flavors, sweetness, alcohol, and body fullness (Fig.  5B ). To disentangle the contribution of ethanol to these results, a second experiment was performed without the addition of ethanol. This resulted in a similar outcome, including increased perception of alcohol and overall appreciation.

Adding the top chemical compounds, identified as best predictors of appreciation by our model, into poorly appreciated beers results in increased appreciation from our trained panel. Results of sensory tests between base beers and those spiked with compounds identified as the best predictors by the model. A Blond and Non/Low-alcohol (0.0% ABV) base beers were brought up to 95th-percentile ethanol-normalized concentrations within each style. B For each sensory attribute, tasters indicated the more intense sample and selected the sample they preferred. The numbers above the bars correspond to the p values that indicate significant changes in perceived flavor (two-sided binomial test: alpha 0.05, n  = 20 or 13).

In a last experiment, we tested whether using the model’s predictions can boost the appreciation of a non-alcoholic beer (beer 223 in Supplementary Data  1 ). Again, the addition of a mixture of predicted compounds (omitting ethanol, in this case) resulted in a significant increase in appreciation, body, ester flavor and sweetness.

Predicting flavor and consumer appreciation from chemical composition is one of the ultimate goals of sensory science. A reliable, systematic and unbiased way to link chemical profiles to flavor and food appreciation would be a significant asset to the food and beverage industry. Such tools would substantially aid in quality control and recipe development, offer an efficient and cost-effective alternative to pilot studies and consumer trials and would ultimately allow food manufacturers to produce superior, tailor-made products that better meet the demands of specific consumer groups more efficiently.

A limited set of studies have previously tried, to varying degrees of success, to predict beer flavor and beer popularity based on (a limited set of) chemical compounds and flavors 79 , 80 . Current sensitive, high-throughput technologies allow measuring an unprecedented number of chemical compounds and properties in a large set of samples, yielding a dataset that can train models that help close the gaps between chemistry and flavor, even for a complex natural product like beer. To our knowledge, no previous research gathered data at this scale (250 samples, 226 chemical parameters, 50 sensory attributes and 5 consumer scores) to disentangle and validate the chemical aspects driving beer preference using various machine-learning techniques. We find that modern machine learning models outperform conventional statistical tools, such as correlations and linear models, and can successfully predict flavor appreciation from chemical composition. This could be attributed to the natural incorporation of interactions and non-linear or discontinuous effects in machine learning models, which are not easily grasped by the linear model architecture. While linear models and partial least squares regression represent the most widespread statistical approaches in sensory science, in part because they allow interpretation 65 , 81 , 82 , modern machine learning methods allow for building better predictive models while preserving the possibility to dissect and exploit the underlying patterns. Of the 10 different models we trained, tree-based models, such as our best performing GBR, showed the best overall performance in predicting sensory responses from chemical information, outcompeting artificial neural networks. This agrees with previous reports for models trained on tabular data 83 . Our results are in line with the findings of Colantonio et al. who also identified the gradient boosting architecture as performing best at predicting appreciation and flavor (of tomatoes and blueberries, in their specific study) 26 . Importantly, besides our larger experimental scale, we were able to directly confirm our models’ predictions in vivo.

Our study confirms that flavor compound concentration does not always correlate with perception, suggesting complex interactions that are often missed by more conventional statistics and simple models. Specifically, we find that tree-based algorithms may perform best in developing models that link complex food chemistry with aroma. Furthermore, we show that massive datasets of untrained consumer reviews provide a valuable source of data, that can complement or even replace trained tasting panels, especially for appreciation and basic flavors, such as sweetness and bitterness. This holds despite biases that are known to occur in such datasets, such as price or conformity bias. Moreover, GBR models predict taste better than aroma. This is likely because taste (e.g. bitterness) often directly relates to the corresponding chemical measurements (e.g., iso-alpha acids), whereas such a link is less clear for aromas, which often result from the interplay between multiple volatile compounds. We also find that our models are best at predicting acidity and alcohol, likely because there is a direct relation between the measured chemical compounds (acids and ethanol) and the corresponding perceived sensorial attribute (acidity and alcohol), and because even untrained consumers are generally able to recognize these flavors and aromas.

The predictions of our final models, trained on review data, hold even for blind tastings with small groups of trained tasters, as demonstrated by our ability to validate specific compounds as drivers of beer flavor and appreciation. Since adding a single compound to the extent of a noticeable difference may result in an unbalanced flavor profile, we specifically tested our identified key drivers as a combination of compounds. While this approach does not allow us to validate if a particular single compound would affect flavor and/or appreciation, our experiments do show that this combination of compounds increases consumer appreciation.

It is important to stress that, while it represents an important step forward, our approach still has several major limitations. A key weakness of the GBR model architecture is that amongst co-correlating variables, the largest main effect is consistently preferred for model building. As a result, co-correlating variables often have artificially low importance scores, both for impurity and SHAP-based methods, like we observed in the comparison to the more randomized Extra Trees models. This implies that chemicals identified as key drivers of a specific sensory feature by GBR might not be the true causative compounds, but rather co-correlate with the actual causative chemical. For example, the high importance of ethyl acetate could be (partially) attributed to the total ester content, ethanol or ethyl hexanoate (rho=0.77, rho=0.72 and rho=0.68), while ethyl phenylacetate could hide the importance of prenyl isobutyrate and ethyl benzoate (rho=0.77 and rho=0.76). Expanding our GBR model to include beer style as a parameter did not yield additional power or insight. This is likely due to style-specific chemical signatures, such as iso-alpha acids and lactic acid, that implicitly convey style information to the original model, as well as the smaller sample size per style, limiting the power to uncover style-specific patterns. This can be partly attributed to the curse of dimensionality, where the high number of parameters results in the models mainly incorporating single parameter effects, rather than complex interactions such as style-dependent effects 67 . A larger number of samples may overcome some of these limitations and offer more insight into style-specific effects. On the other hand, beer style is not a rigid scientific classification, and beers within one style often differ a lot, which further complicates the analysis of style as a model factor.

Our study is limited to beers from Belgian breweries. Although these beers cover a large portion of the beer styles available globally, some beer styles and consumer patterns may be missing, while other features might be overrepresented. For example, many Belgian ales exhibit yeast-driven flavor profiles, which is reflected in the chemical drivers of appreciation discovered by this study. In future work, expanding the scope to include diverse markets and beer styles could lead to the identification of even more drivers of appreciation and better models for special niche products that were not present in our beer set.

In addition to inherent limitations of GBR models, there are also some limitations associated with studying food aroma. Even if our chemical analyses measured most of the known aroma compounds, the total number of flavor compounds in complex foods like beer is still larger than the subset we were able to measure in this study. For example, hop-derived thiols, that influence flavor at very low concentrations, are notoriously difficult to measure in a high-throughput experiment. Moreover, consumer perception remains subjective and prone to biases that are difficult to avoid. It is also important to stress that the models are still immature and that more extensive datasets will be crucial for developing more complete models in the future. Besides more samples and parameters, our dataset does not include any demographic information about the tasters. Including such data could lead to better models that grasp external factors like age and culture. Another limitation is that our set of beers consists of high-quality end-products and lacks beers that are unfit for sale, which limits the current model in accurately predicting products that are appreciated very badly. Finally, while models could be readily applied in quality control, their use in sensory science and product development is restrained by their inability to discern causal relationships. Given that the models cannot distinguish compounds that genuinely drive consumer perception from those that merely correlate, validation experiments are essential to identify true causative compounds.

Despite the inherent limitations, dissection of our models enabled us to pinpoint specific molecules as potential drivers of beer aroma and consumer appreciation, including compounds that were unexpected and would not have been identified using standard approaches. Important drivers of beer appreciation uncovered by our models include protein levels, ethyl acetate, ethyl phenyl acetate and lactic acid. Currently, many brewers already use lactic acid to acidify their brewing water and ensure optimal pH for enzymatic activity during the mashing process. Our results suggest that adding lactic acid can also improve beer appreciation, although its individual effect remains to be tested. Interestingly, ethanol appears to be unnecessary to improve beer appreciation, both for blond beer and alcohol-free beer. Given the growing consumer interest in alcohol-free beer, with a predicted annual market growth of >7% 84 , it is relevant for brewers to know what compounds can further increase consumer appreciation of these beers. Hence, our model may readily provide avenues to further improve the flavor and consumer appreciation of both alcoholic and non-alcoholic beers, which is generally considered one of the key challenges for future beer production.

Whereas we see a direct implementation of our results for the development of superior alcohol-free beverages and other food products, our study can also serve as a stepping stone for the development of novel alcohol-containing beverages. We want to echo the growing body of scientific evidence for the negative effects of alcohol consumption, both on the individual level by the mutagenic, teratogenic and carcinogenic effects of ethanol 85 , 86 , as well as the burden on society caused by alcohol abuse and addiction. We encourage the use of our results for the production of healthier, tastier products, including novel and improved beverages with lower alcohol contents. Furthermore, we strongly discourage the use of these technologies to improve the appreciation or addictive properties of harmful substances.

The present work demonstrates that despite some important remaining hurdles, combining the latest developments in chemical analyses, sensory analysis and modern machine learning methods offers exciting avenues for food chemistry and engineering. Soon, these tools may provide solutions in quality control and recipe development, as well as new approaches to sensory science and flavor research.

Beer selection

250 commercial Belgian beers were selected to cover the broad diversity of beer styles and corresponding diversity in chemical composition and aroma. See Supplementary Fig.  S1 .

Chemical dataset

Sample preparation.

Beers within their expiration date were purchased from commercial retailers. Samples were prepared in biological duplicates at room temperature, unless explicitly stated otherwise. Bottle pressure was measured with a manual pressure device (Steinfurth Mess-Systeme GmbH) and used to calculate CO 2 concentration. The beer was poured through two filter papers (Macherey-Nagel, 500713032 MN 713 ¼) to remove carbon dioxide and prevent spontaneous foaming. Samples were then prepared for measurements by targeted Headspace-Gas Chromatography-Flame Ionization Detector/Flame Photometric Detector (HS-GC-FID/FPD), Headspace-Solid Phase Microextraction-Gas Chromatography-Mass Spectrometry (HS-SPME-GC-MS), colorimetric analysis, enzymatic analysis, Near-Infrared (NIR) analysis, as described in the sections below. The mean values of biological duplicates are reported for each compound.

HS-GC-FID/FPD

HS-GC-FID/FPD (Shimadzu GC 2010 Plus) was used to measure higher alcohols, acetaldehyde, esters, 4-vinyl guaicol, and sulfur compounds. Each measurement comprised 5 ml of sample pipetted into a 20 ml glass vial containing 1.75 g NaCl (VWR, 27810.295). 100 µl of 2-heptanol (Sigma-Aldrich, H3003) (internal standard) solution in ethanol (Fisher Chemical, E/0650DF/C17) was added for a final concentration of 2.44 mg/L. Samples were flushed with nitrogen for 10 s, sealed with a silicone septum, stored at −80 °C and analyzed in batches of 20.

The GC was equipped with a DB-WAXetr column (length, 30 m; internal diameter, 0.32 mm; layer thickness, 0.50 µm; Agilent Technologies, Santa Clara, CA, USA) to the FID and an HP-5 column (length, 30 m; internal diameter, 0.25 mm; layer thickness, 0.25 µm; Agilent Technologies, Santa Clara, CA, USA) to the FPD. N 2 was used as the carrier gas. Samples were incubated for 20 min at 70 °C in the headspace autosampler (Flow rate, 35 cm/s; Injection volume, 1000 µL; Injection mode, split; Combi PAL autosampler, CTC analytics, Switzerland). The injector, FID and FPD temperatures were kept at 250 °C. The GC oven temperature was first held at 50 °C for 5 min and then allowed to rise to 80 °C at a rate of 5 °C/min, followed by a second ramp of 4 °C/min until 200 °C kept for 3 min and a final ramp of (4 °C/min) until 230 °C for 1 min. Results were analyzed with the GCSolution software version 2.4 (Shimadzu, Kyoto, Japan). The GC was calibrated with a 5% EtOH solution (VWR International) containing the volatiles under study (Supplementary Table  S7 ).

HS-SPME-GC-MS

HS-SPME-GC-MS (Shimadzu GCMS-QP-2010 Ultra) was used to measure additional volatile compounds, mainly comprising terpenoids and esters. Samples were analyzed by HS-SPME using a triphase DVB/Carboxen/PDMS 50/30 μm SPME fiber (Supelco Co., Bellefonte, PA, USA) followed by gas chromatography (Thermo Fisher Scientific Trace 1300 series, USA) coupled to a mass spectrometer (Thermo Fisher Scientific ISQ series MS) equipped with a TriPlus RSH autosampler. 5 ml of degassed beer sample was placed in 20 ml vials containing 1.75 g NaCl (VWR, 27810.295). 5 µl internal standard mix was added, containing 2-heptanol (1 g/L) (Sigma-Aldrich, H3003), 4-fluorobenzaldehyde (1 g/L) (Sigma-Aldrich, 128376), 2,3-hexanedione (1 g/L) (Sigma-Aldrich, 144169) and guaiacol (1 g/L) (Sigma-Aldrich, W253200) in ethanol (Fisher Chemical, E/0650DF/C17). Each sample was incubated at 60 °C in the autosampler oven with constant agitation. After 5 min equilibration, the SPME fiber was exposed to the sample headspace for 30 min. The compounds trapped on the fiber were thermally desorbed in the injection port of the chromatograph by heating the fiber for 15 min at 270 °C.

The GC-MS was equipped with a low polarity RXi-5Sil MS column (length, 20 m; internal diameter, 0.18 mm; layer thickness, 0.18 µm; Restek, Bellefonte, PA, USA). Injection was performed in splitless mode at 320 °C, a split flow of 9 ml/min, a purge flow of 5 ml/min and an open valve time of 3 min. To obtain a pulsed injection, a programmed gas flow was used whereby the helium gas flow was set at 2.7 mL/min for 0.1 min, followed by a decrease in flow of 20 ml/min to the normal 0.9 mL/min. The temperature was first held at 30 °C for 3 min and then allowed to rise to 80 °C at a rate of 7 °C/min, followed by a second ramp of 2 °C/min till 125 °C and a final ramp of 8 °C/min with a final temperature of 270 °C.

Mass acquisition range was 33 to 550 amu at a scan rate of 5 scans/s. Electron impact ionization energy was 70 eV. The interface and ion source were kept at 275 °C and 250 °C, respectively. A mix of linear n-alkanes (from C7 to C40, Supelco Co.) was injected into the GC-MS under identical conditions to serve as external retention index markers. Identification and quantification of the compounds were performed using an in-house developed R script as described in Goelen et al. and Reher et al. 87 , 88 (for package information, see Supplementary Table  S8 ). Briefly, chromatograms were analyzed using AMDIS (v2.71) 89 to separate overlapping peaks and obtain pure compound spectra. The NIST MS Search software (v2.0 g) in combination with the NIST2017, FFNSC3 and Adams4 libraries were used to manually identify the empirical spectra, taking into account the expected retention time. After background subtraction and correcting for retention time shifts between samples run on different days based on alkane ladders, compound elution profiles were extracted and integrated using a file with 284 target compounds of interest, which were either recovered in our identified AMDIS list of spectra or were known to occur in beer. Compound elution profiles were estimated for every peak in every chromatogram over a time-restricted window using weighted non-negative least square analysis after which peak areas were integrated 87 , 88 . Batch effect correction was performed by normalizing against the most stable internal standard compound, 4-fluorobenzaldehyde. Out of all 284 target compounds that were analyzed, 167 were visually judged to have reliable elution profiles and were used for final analysis.

Discrete photometric and enzymatic analysis

Discrete photometric and enzymatic analysis (Thermo Scientific TM Gallery TM Plus Beermaster Discrete Analyzer) was used to measure acetic acid, ammonia, beta-glucan, iso-alpha acids, color, sugars, glycerol, iron, pH, protein, and sulfite. 2 ml of sample volume was used for the analyses. Information regarding the reagents and standard solutions used for analyses and calibrations is included in Supplementary Table  S7 and Supplementary Table  S9 .

NIR analyses

NIR analysis (Anton Paar Alcolyzer Beer ME System) was used to measure ethanol. Measurements comprised 50 ml of sample, and a 10% EtOH solution was used for calibration.

Correlation calculations

Pairwise Spearman Rank correlations were calculated between all chemical properties.

Sensory dataset

Trained panel.

Our trained tasting panel consisted of volunteers who gave prior verbal informed consent. All compounds used for the validation experiment were of food-grade quality. The tasting sessions were approved by the Social and Societal Ethics Committee of the KU Leuven (G-2022-5677-R2(MAR)). All online reviewers agreed to the Terms and Conditions of the RateBeer website.

Sensory analysis was performed according to the American Society of Brewing Chemists (ASBC) Sensory Analysis Methods 90 . 30 volunteers were screened through a series of triangle tests. The sixteen most sensitive and consistent tasters were retained as taste panel members. The resulting panel was diverse in age [22–42, mean: 29], sex [56% male] and nationality [7 different countries]. The panel developed a consensus vocabulary to describe beer aroma, taste and mouthfeel. Panelists were trained to identify and score 50 different attributes, using a 7-point scale to rate attributes’ intensity. The scoring sheet is included as Supplementary Data  3 . Sensory assessments took place between 10–12 a.m. The beers were served in black-colored glasses. Per session, between 5 and 12 beers of the same style were tasted at 12 °C to 16 °C. Two reference beers were added to each set and indicated as ‘Reference 1 & 2’, allowing panel members to calibrate their ratings. Not all panelists were present at every tasting. Scores were scaled by standard deviation and mean-centered per taster. Values are represented as z-scores and clustered by Euclidean distance. Pairwise Spearman correlations were calculated between taste and aroma sensory attributes. Panel consistency was evaluated by repeating samples on different sessions and performing ANOVA to identify differences, using the ‘stats’ package (v4.2.2) in R (for package information, see Supplementary Table  S8 ).

Online reviews from a public database

The ‘scrapy’ package in Python (v3.6) (for package information, see Supplementary Table  S8 ). was used to collect 232,288 online reviews (mean=922, min=6, max=5343) from RateBeer, an online beer review database. Each review entry comprised 5 numerical scores (appearance, aroma, taste, palate and overall quality) and an optional review text. The total number of reviews per reviewer was collected separately. Numerical scores were scaled and centered per rater, and mean scores were calculated per beer.

For the review texts, the language was estimated using the packages ‘langdetect’ and ‘langid’ in Python. Reviews that were classified as English by both packages were kept. Reviewers with fewer than 100 entries overall were discarded. 181,025 reviews from >6000 reviewers from >40 countries remained. Text processing was done using the ‘nltk’ package in Python. Texts were corrected for slang and misspellings; proper nouns and rare words that are relevant to the beer context were specified and kept as-is (‘Chimay’,’Lambic’, etc.). A dictionary of semantically similar sensorial terms, for example ‘floral’ and ‘flower’, was created and collapsed together into one term. Words were stemmed and lemmatized to avoid identifying words such as ‘acid’ and ‘acidity’ as separate terms. Numbers and punctuation were removed.

Sentences from up to 50 randomly chosen reviews per beer were manually categorized according to the aspect of beer they describe (appearance, aroma, taste, palate, overall quality—not to be confused with the 5 numerical scores described above) or flagged as irrelevant if they contained no useful information. If a beer contained fewer than 50 reviews, all reviews were manually classified. This labeled data set was used to train a model that classified the rest of the sentences for all beers 91 . Sentences describing taste and aroma were extracted, and term frequency–inverse document frequency (TFIDF) was implemented to calculate enrichment scores for sensorial words per beer.

The sex of the tasting subject was not considered when building our sensory database. Instead, results from different panelists were averaged, both for our trained panel (56% male, 44% female) and the RateBeer reviews (70% male, 30% female for RateBeer as a whole).

Beer price collection and processing

Beer prices were collected from the following stores: Colruyt, Delhaize, Total Wine, BeerHawk, The Belgian Beer Shop, The Belgian Shop, and Beer of Belgium. Where applicable, prices were converted to Euros and normalized per liter. Spearman correlations were calculated between these prices and mean overall appreciation scores from RateBeer and the taste panel, respectively.

Pairwise Spearman Rank correlations were calculated between all sensory properties.

Machine learning models

Predictive modeling of sensory profiles from chemical data.

Regression models were constructed to predict (a) trained panel scores for beer flavors and quality from beer chemical profiles and (b) public reviews’ appreciation scores from beer chemical profiles. Z-scores were used to represent sensory attributes in both data sets. Chemical properties with log-normal distributions (Shapiro-Wilk test, p  <  0.05 ) were log-transformed. Missing chemical measurements (0.1% of all data) were replaced with mean values per attribute. Observations from 250 beers were randomly separated into a training set (70%, 175 beers) and a test set (30%, 75 beers), stratified per beer style. Chemical measurements (p = 231) were normalized based on the training set average and standard deviation. In total, three linear regression-based models: linear regression with first-order interaction terms (LR), lasso regression with first-order interaction terms (Lasso) and partial least squares regression (PLSR); five decision tree models, Adaboost regressor (ABR), Extra Trees (ET), Gradient Boosting regressor (GBR), Random Forest (RF) and XGBoost regressor (XGBR); one support vector machine model (SVR) and one artificial neural network model (ANN) were trained. The models were implemented using the ‘scikit-learn’ package (v1.2.2) and ‘xgboost’ package (v1.7.3) in Python (v3.9.16). Models were trained, and hyperparameters optimized, using five-fold cross-validated grid search with the coefficient of determination (R 2 ) as the evaluation metric. The ANN (scikit-learn’s MLPRegressor) was optimized using Bayesian Tree-Structured Parzen Estimator optimization with the ‘Optuna’ Python package (v3.2.0). Individual models were trained per attribute, and a multi-output model was trained on all attributes simultaneously.

Model dissection

GBR was found to outperform other methods, resulting in models with the highest average R 2 values in both trained panel and public review data sets. Impurity-based rankings of the most important predictors for each predicted sensorial trait were obtained using the ‘scikit-learn’ package. To observe the relationships between these chemical properties and their predicted targets, partial dependence plots (PDP) were constructed for the six most important predictors of consumer appreciation 74 , 75 .

The ‘SHAP’ package in Python (v0.41.0) was implemented to provide an alternative ranking of predictor importance and to visualize the predictors’ effects as a function of their concentration 68 .

Validation of causal chemical properties

To validate the effects of the most important model features on predicted sensory attributes, beers were spiked with the chemical compounds identified by the models and descriptive sensory analyses were carried out according to the American Society of Brewing Chemists (ASBC) protocol 90 .

Compound spiking was done 30 min before tasting. Compounds were spiked into fresh beer bottles, that were immediately resealed and inverted three times. Fresh bottles of beer were opened for the same duration, resealed, and inverted thrice, to serve as controls. Pairs of spiked samples and controls were served simultaneously, chilled and in dark glasses as outlined in the Trained panel section above. Tasters were instructed to select the glass with the higher flavor intensity for each attribute (directional difference test 92 ) and to select the glass they prefer.

The final concentration after spiking was equal to the within-style average, after normalizing by ethanol concentration. This was done to ensure balanced flavor profiles in the final spiked beer. The same methods were applied to improve a non-alcoholic beer. Compounds were the following: ethyl acetate (Merck KGaA, W241415), ethyl hexanoate (Merck KGaA, W243906), isoamyl acetate (Merck KGaA, W205508), phenethyl acetate (Merck KGaA, W285706), ethanol (96%, Colruyt), glycerol (Merck KGaA, W252506), lactic acid (Merck KGaA, 261106).

Significant differences in preference or perceived intensity were determined by performing the two-sided binomial test on each attribute.

Reporting summary

Further information on research design is available in the  Nature Portfolio Reporting Summary linked to this article.

Data availability

The data that support the findings of this work are available in the Supplementary Data files and have been deposited to Zenodo under accession code 10653704 93 . The RateBeer scores data are under restricted access, they are not publicly available as they are property of RateBeer (ZX Ventures, USA). Access can be obtained from the authors upon reasonable request and with permission of RateBeer (ZX Ventures, USA).  Source data are provided with this paper.

Code availability

The code for training the machine learning models, analyzing the models, and generating the figures has been deposited to Zenodo under accession code 10653704 93 .

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Acknowledgements

We thank all lab members for their discussions and thank all tasting panel members for their contributions. Special thanks go out to Dr. Karin Voordeckers for her tremendous help in proofreading and improving the manuscript. M.S. was supported by a Baillet-Latour fellowship, L.C. acknowledges financial support from KU Leuven (C16/17/006), F.A.T. was supported by a PhD fellowship from FWO (1S08821N). Research in the lab of K.J.V. is supported by KU Leuven, FWO, VIB, VLAIO and the Brewing Science Serves Health Fund. Research in the lab of T.W. is supported by FWO (G.0A51.15) and KU Leuven (C16/17/006).

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These authors contributed equally: Michiel Schreurs, Supinya Piampongsant, Miguel Roncoroni.

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VIB—KU Leuven Center for Microbiology, Gaston Geenslaan 1, B-3001, Leuven, Belgium

Michiel Schreurs, Supinya Piampongsant, Miguel Roncoroni, Lloyd Cool, Beatriz Herrera-Malaver, Florian A. Theßeling & Kevin J. Verstrepen

CMPG Laboratory of Genetics and Genomics, KU Leuven, Gaston Geenslaan 1, B-3001, Leuven, Belgium

Leuven Institute for Beer Research (LIBR), Gaston Geenslaan 1, B-3001, Leuven, Belgium

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S.P., M.S. and K.J.V. conceived the experiments. S.P., M.S. and K.J.V. designed the experiments. S.P., M.S., M.R., B.H. and F.A.T. performed the experiments. S.P., M.S., L.C., C.V., L.K., A.B., P.M., L.D., T.W. and K.J.V. contributed analysis ideas. S.P., M.S., L.C., C.V., T.W. and K.J.V. analyzed the data. All authors contributed to writing the manuscript.

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Correspondence to Kevin J. Verstrepen .

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Schreurs, M., Piampongsant, S., Roncoroni, M. et al. Predicting and improving complex beer flavor through machine learning. Nat Commun 15 , 2368 (2024). https://doi.org/10.1038/s41467-024-46346-0

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President Barack Obama presents the Presidential Medal of Freedom to psychologist Daniel Kahneman. ... [+] (MANDEL NGAN/AFP via Getty Images)

It’s rare that I get to write a tribute to a semi-famous person I actually met. Dr. Daniel Kahneman , who revolutionized the way we think about decisions, passed away last week at the age of 90. His research is still enriching us in countless ways.

I interviewed Dr. Kahneman three times as a reporter. He was always generous with his time and insights, which humbled me considering that he was a psychologist who won the Nobel Prize in economics. His classic “ Thinking Fast and Slow ” is one of the must-reads of the 21st Century. Not only was he the godfather of an entirely new branch of research — behavioral economics — he helped millions get past their own ego to become better investors.

Forget Freud. Kahneman was the real deal when it came to applied psychology we can use every day. He torched the conventional wisdom that we always act in our best interest when it comes to money and other important decisions. Along with his late research partner Amos Tversky, he found that most people rely on flawed — and usually wrong — emotional conclusions when making important decisions.

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By giving the rational parts of our mind more time to think, we’ll be better off — and richer in so many ways.

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Perinatal depression linked with premenstrual mood disorders – new research

Associate Professor of Epidemiology, Karolinska Institutet

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Changes in mood are a common experience for many women throughout their reproductive years. Menstruation, pregnancy and menopause are all punctuated by hormonal fluctuations – and these fluctuations can affect a person’s mood.

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Premenstrual disorders affect millions of women of reproductive age around the world. It’s estimated that anywhere from 1-6% of women have PMDD, and between 20% and 30% of women experience moderate-to-severe PMS. Mild PMS is a common experience and would not necessarily be considered a disease.

Despite their prevalence, there’s a dire lack of awareness and understanding, both among the public and healthcare providers, about premenstrual disorders and the affect they can have on quality of life and health.

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Historically, the threads connecting premenstrual disorders and perinatal depression have been recognised anecdotally. However, there has been a lack of good evidence proving this link.

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We revealed that women with a history of premenstrual disorders are five times more susceptible to developing perinatal depression if they become pregnant. This connection persists even after adjusting for various factors – including history of previous psychiatric disorders. This indicates that the two conditions may share an underlying cause – possibly rooted in an abnormal response to hormonal changes.

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Researchers envision sci-fi worlds involving changes to atmospheric water cycle

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Land use change is altering where clouds form and how precipitation is distributed. Meanwhile, weather modification activities like cloud seeding are shifting how nations plan for water use in the face of climate change. These and other changes to the planet's atmospheric water cycle were once hard to imagine but are increasingly part of modern water management on the planet.

Colorado State University Assistant Professor Patrick Keys is an expert in climate and societal change. He has been studying these types of issues for years and realized there was a potential gap when it came to understanding -- not only in the public but among the water research community -- the lasting implications of these changes.

To better grasp how those kinds of activities could shape the world, he enlisted water scientists from around the globe to write story-based scenarios about the possible futures humanity is facing but perhaps can't quite comprehend yet. The results were recently published in Global Sustainability as part of a creative pathway to understand atmospheric water research with an eye towards the potential economic and policy issues that may be just beyond the horizon.

The work features striking artist-made images that pair with traditional science fiction narratives as well as alternative story forms like first-person journal entries. Keys said the package offers a wide path -- grounded in science -- to build a shared understanding of future water management activities and problems.

"Stories are everywhere and are an integral part of human life," he said. "They tell you something different from a graph in a research paper. They allow you to explore how people may feel or react to these kinds of changes. This kind of work provides agency for people and an opportunity to consider these changes no matter their background or level of understanding."

Research for this work came in three distinct phases, according to Keys. First, he used computational text analysis to find recurring themes in journal abstracts about the current state of atmospheric water cycle research. He then sorted the data -- identifying clusters of recurring terms against a grid of common economic goods principles for discussion. The goal, he said, was to better describe the ways humans and institutions may interact with the atmospheric water cycle in the future. Specifically: how entities in the future, such as countries or private actors, could eventually act to protect their own resources or how they may leverage advantages to gain access to water as a crucial natural resource in the future.

It's those relationships and interactions, Keys wanted to explore in the third part of this research and where science fiction comes into play.

Science fiction and reality of atmospheric water resources beyond 2050 With a better grip on the potential future relationships of water management in this space, Keys next asked experts to imagine a world that is decades in the future where activities like cloud seeding were common and the long-term results are more apparent.

The result was an exercise in science fiction storytelling with the specific goal of probing reality and envisioning even the weirdest possible outcomes.

"I think we have a sense that some futures are more likely than others, but we need to realize that to adequately cover the possible trajectories our world could head toward, models alone may not cut it," he said. "Especially when we are talking about things that are hard to quantify, like culture or perception, that may wind up playing a large part in the actual outcomes."

To create the narratives Keys hosted a series of workshops with interdisciplinary water experts from all fields and backgrounds and walked them through a 'futures thinking' approach. The experts were not siloed by discipline and topic during the exercise, with the hope of sparking even more creativity. In the end, 10 story-based scenarios were developed and are included in the paper. Keys also worked with the artist Fabio Comin over the course of a year to create the accompanying imagery.

Keys is based in the Department of Atmospheric Science in the Walter Scott, Jr. College of Engineering. He had several partners in the paper including postdoctoral fellow Rekha Warrier from the Human Dimensions of Natural Resources Department at CSU. Other researchers came from the University of California, Davis, the University of California, Los Angeles, the Stockholm Resilience Centre, and the Potsdam Institute for Climate Impact Research.

Keys said he is now using similar approaches for another project with the Colorado Water Center. He added that one of his goals with both projects was to ignite conversations around the water cycle at what is becoming a key moment for action globally.

"These scenarios have an ability to raise interesting questions about policy, regulation and enforcement -- what those all may look like," he said. "This approach can also help us recognize some of the aspects we may not be paying attention to and make better sense of it all."

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Materials provided by Colorado State University . Original written by Josh Rhoten. Note: Content may be edited for style and length.

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Yes, we’re divided. But new AP-NORC poll shows Americans still agree on most core American values

Most U.S. adults share many core values on what it means to be an American despite the country’s deep political polarization according to a new poll from The Associated Press-NORC Center for Public Affairs Research.

FILE - The Capitol is seen as water sprinklers soak the National Mall on a hot summer morning in Washington, July 15, 2022. A new poll finds that most Americans share many core values on what it means to be an American despite the country’s deep political polarization. The poll from The Associated Press-NORC Center for Public Affairs Research found that about 9 in 10 U.S. adults say the right to vote, the right to equal protection under the law and the right to privacy are important or very important to the U.S.’s identity as a nation.(AP Photo/J. Scott Applewhite)

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WASHINGTON (AP) — Despite the country’s deep political polarization, most Americans share many core beliefs about what it means to be an American, according to a new poll.

The poll from The Associated Press-NORC Center for Public Affairs Research found that about 9 in 10 U.S. adults say the right to vote, the right to equal protection under the law and the right to privacy are extremely important or very important to the United States’ identity as a nation. The survey also found that 84% feel the same way about the freedom of religion.

The results, which included perspectives on a number of different freedoms and rights, have only small variances between Republicans and Democrats except on the right to bear arms, which Republicans are more likely to see as core to the nation’s identity. The overall findings are striking because they come at a time of extreme partisanship when political agreements seem rare and concerns are heightened over the potential for violence during a volatile presidential election year.

“If you get a bunch of normal people at random and put them in a room together and chat about issues, there’s a lot more convergence than you might imagine,” said Michael Albertus, a political science professor at the University of Chicago.

A more pessimistic assessment of the country was reflected in another finding — that only about 3 in 10 Americans believe the nation’s democracy is functioning well. About half say the U.S. is a poorly functioning democracy, while 14% say the U.S. is not a democracy.

The tension between the broad consensus on the country’s fundamental values and discontent with how well its form of government is working is not a surprise, experts say.

“Part of it is really our leaders are not reflecting the electorate, and they behave in a way that’s much more polarized than what the electorate is,” said Lilliana Mason, a political scientist at Johns Hopkins University.

Most Americans, she said, “are pretty moderate, but they’ve been riled up to hate people of the other party for being different from them culturally, racially and religiously.”

The AP-NORC poll also found broad agreement on the importance of some key values for the U.S.’s identity as a country. About three-quarters of U.S. adults agree that a democratically elected government is extremely or very important, and about 8 in 10 think the same about the ability of people living in the U.S. to get good jobs and achieve the American dream.

But what achieving that dream means — and which values are most fundamental to American culture — isn’t something all Americans agree on.

Democrats are more likely than Republicans — 71% to 38% — to believe that the ability to come to the U.S. from elsewhere in the world to escape violence or find economic opportunities is core to the country’s identity. A majority of Republicans, 58%, think a culture grounded in Christian values and beliefs is an essential characteristic, compared to only 18% of Democrats.

Juan Sierra, 51, a naturalized citizen whose family immigrated from the Dominican Republic after a hurricane destroyed his father’s cement business, said it is very important to him that the U.S. be seen as a place of opportunity.

The Capitol is seen as water sprinklers soak the National Mall on a hot summer morning in Washington, July 15, 2022. (AP Photo/J. Scott Applewhite)

The industrial technician in Port St. Lucie, Florida, said he believes democracy is working and will continue to do so “as long as there are good people in government.”

Sierra also said it was extremely important that people have freedom of religion, although he had concerns over the nation’s identity being tied to Christianity.

“We’re seeing what happens right now when laws are passed and decisions are made based on someone’s religion,” he said, citing the Alabama Supreme Court ruling in February that frozen embryos can be considered children and be afforded legal protections, a decision that temporarily halted IVF procedures in the state.

Susan Johnson, a 76-year-old Republican living in the Dallas suburbs, said the nation’s standing as a beacon to others who need refuge is very important, but said that could not override concerns about border security.

“We need people working,” she said. “We just need them to come the right way.”

Johnson also said she believes it’s extremely important that the nation’s identity be grounded in spirituality.

“Whether or not you’re Mormon or a Muslim or a Christian, they just have to have some higher power to reach up to,” she said. “The country is going to fall apart if we don’t believe in God.”

The poll found few divisions on democracy as a system in theory, but it identified one notable gap: younger Americans between the ages of 18 to 29 were less likely than those 60 and older to say the U.S. is a well-functioning democracy. They’re also less likely than older Americans to believe that some characteristics are essential to the U.S.’s character as a nation, including having a democratically elected government. About 6 in 10 younger adults see this as important, compared to about 9 in 10 older adults.

Palakjot Singh, a 21-year-old college student in Fresno, California, identified himself as a Republican and said he had a better quality of life when Donald Trump was president. He said the U.S. is not a well-functioning democracy in part because people are not open to debating different points of view compared to previous generations.

“There is not good communication,” he said. “Nobody is sitting together trying to get to one point.”

Howard Lavine, a political science professor at the University of Minnesota, said the generational split is understandable. Many younger people don’t remember a time when those with opposing views and from different political backgrounds could get together and “come over to your house.” Their frame of reference is the hyper partisanship of the Trump years, he said.

Joe Lagle, 55, a retired Air Force veteran in Colorado Springs who said he has not voted for either President Joe Biden or Trump, said the nation’s various rights are “all important” but believes they are being eroded by intolerance and well-meaning but shortsighted people.

Mike Maloy, 41, an engineer in Greensboro, North Carolina, said having those rights and freedoms “doesn’t necessarily mean the U.S. is a functioning democracy.”

“Everything is run by a handful of people and their corporations,” he said. “That’s not a democracy.”

A Democrat, Maloy cited as an example this year’s presidential primary in North Carolina, when Biden was the lone candidate on the ballot. He called that “frustrating” and said the result was that voters “had no choice.”

The poll of 1,282 adults was conducted March 21-25, 2024, using a sample drawn from NORC’s probability-based AmeriSpeak Panel, which is designed to be representative of the U.S. population. The margin of sampling error for all respondents is plus or minus 3.8 percentage points.

Associated Press polling writer Linley Sanders contributed to this report.

The Associated Press receives support from several private foundations to enhance its explanatory coverage of elections and democracy. See more about AP’s democracy initiative here . The AP is solely responsible for all content.

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Methodology

Research Methods | Definitions, Types, Examples

Research methods are specific procedures for collecting and analyzing data. Developing your research methods is an integral part of your research design . When planning your methods, there are two key decisions you will make.

First, decide how you will collect data . Your methods depend on what type of data you need to answer your research question :

• Qualitative vs. quantitative : Will your data take the form of words or numbers?
• Primary vs. secondary : Will you collect original data yourself, or will you use data that has already been collected by someone else?
• Descriptive vs. experimental : Will you take measurements of something as it is, or will you perform an experiment?

Second, decide how you will analyze the data .

• For quantitative data, you can use statistical analysis methods to test relationships between variables.
• For qualitative data, you can use methods such as thematic analysis to interpret patterns and meanings in the data.

Table of contents

Methods for collecting data, examples of data collection methods, methods for analyzing data, examples of data analysis methods, other interesting articles, frequently asked questions about research methods.

Data is the information that you collect for the purposes of answering your research question . The type of data you need depends on the aims of your research.

Qualitative vs. quantitative data

Your choice of qualitative or quantitative data collection depends on the type of knowledge you want to develop.

For questions about ideas, experiences and meanings, or to study something that can’t be described numerically, collect qualitative data .

If you want to develop a more mechanistic understanding of a topic, or your research involves hypothesis testing , collect quantitative data .

You can also take a mixed methods approach , where you use both qualitative and quantitative research methods.

Primary vs. secondary research

Primary research is any original data that you collect yourself for the purposes of answering your research question (e.g. through surveys , observations and experiments ). Secondary research is data that has already been collected by other researchers (e.g. in a government census or previous scientific studies).

If you are exploring a novel research question, you’ll probably need to collect primary data . But if you want to synthesize existing knowledge, analyze historical trends, or identify patterns on a large scale, secondary data might be a better choice.

Descriptive vs. experimental data

In descriptive research , you collect data about your study subject without intervening. The validity of your research will depend on your sampling method .

In experimental research , you systematically intervene in a process and measure the outcome. The validity of your research will depend on your experimental design .

To conduct an experiment, you need to be able to vary your independent variable , precisely measure your dependent variable, and control for confounding variables . If it’s practically and ethically possible, this method is the best choice for answering questions about cause and effect.

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Your data analysis methods will depend on the type of data you collect and how you prepare it for analysis.

Data can often be analyzed both quantitatively and qualitatively. For example, survey responses could be analyzed qualitatively by studying the meanings of responses or quantitatively by studying the frequencies of responses.

Qualitative analysis methods

Qualitative analysis is used to understand words, ideas, and experiences. You can use it to interpret data that was collected:

• From open-ended surveys and interviews , literature reviews , case studies , ethnographies , and other sources that use text rather than numbers.
• Using non-probability sampling methods .

Qualitative analysis tends to be quite flexible and relies on the researcher’s judgement, so you have to reflect carefully on your choices and assumptions and be careful to avoid research bias .

Quantitative analysis methods

Quantitative analysis uses numbers and statistics to understand frequencies, averages and correlations (in descriptive studies) or cause-and-effect relationships (in experiments).

You can use quantitative analysis to interpret data that was collected either:

• During an experiment .
• Using probability sampling methods .

Because the data is collected and analyzed in a statistically valid way, the results of quantitative analysis can be easily standardized and shared among researchers.

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

• Chi square test of independence
• Statistical power
• Descriptive statistics
• Degrees of freedom
• Pearson correlation
• Null hypothesis
• Double-blind study
• Case-control study
• Research ethics
• Data collection
• Hypothesis testing
• Structured interviews

Research bias

• Hawthorne effect
• Unconscious bias
• Recall bias
• Halo effect
• Self-serving bias
• Information bias

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

Quantitative methods allow you to systematically measure variables and test hypotheses . Qualitative methods allow you to explore concepts and experiences in more detail.

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

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.

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 analyze a large amount of readily-available data, use secondary data. If you want data specific to your purposes with control over how it is generated, collect primary data.
• If you want to establish cause-and-effect relationships between variables , use experimental methods. If you want to understand the characteristics of a research subject, use descriptive methods.

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

Methods are the specific tools and procedures you use to collect and analyze data (for example, experiments, surveys , and statistical tests ).

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

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

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Faculty, staff, graduate students and faculty emeriti who require extensive use of library resources may be eligible to lease private research and writing rooms for a semester or an academic year (up to two years for graduate students). See the full policies at https://udayton.edu/libraries/services/research-writing-rooms.php Questions may be directed to the University Libraries Office of the Dean, 937-229-4094.

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