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How to Write a Research Question: Types and Examples 

The first step in any research project is framing the research question. It can be considered the core of any systematic investigation as the research outcomes are tied to asking the right questions. Thus, this primary interrogation point sets the pace for your research as it helps collect relevant and insightful information that ultimately influences your work.   

Typically, the research question guides the stages of inquiry, analysis, and reporting. Depending on the use of quantifiable or quantitative data, research questions are broadly categorized into quantitative or qualitative research questions. Both types of research questions can be used independently or together, considering the overall focus and objectives of your research.  

What is a research question?

A research question is a clear, focused, concise, and arguable question on which your research and writing are centered. 1 It states various aspects of the study, including the population and variables to be studied and the problem the study addresses. These questions also set the boundaries of the study, ensuring cohesion. 

Designing the research question is a dynamic process where the researcher can change or refine the research question as they review related literature and develop a framework for the study. Depending on the scale of your research, the study can include single or multiple research questions. 

A good research question has the following features: 

• It is relevant to the chosen field of study. 
• The question posed is arguable and open for debate, requiring synthesizing and analysis of ideas. 
• It is focused and concisely framed. 
• A feasible solution is possible within the given practical constraint and timeframe. 

A poorly formulated research question poses several risks. 1   

• Researchers can adopt an erroneous design. 
• It can create confusion and hinder the thought process, including developing a clear protocol.  
• It can jeopardize publication efforts.  
• It causes difficulty in determining the relevance of the study findings.  
• It causes difficulty in whether the study fulfils the inclusion criteria for systematic review and meta-analysis. This creates challenges in determining whether additional studies or data collection is needed to answer the question.  
• Readers may fail to understand the objective of the study. This reduces the likelihood of the study being cited by others. 

Now that you know “What is a research question?”, let’s look at the different types of research questions. 

Types of research questions

Depending on the type of research to be done, research questions can be classified broadly into quantitative, qualitative, or mixed-methods studies. Knowing the type of research helps determine the best type of research question that reflects the direction and epistemological underpinnings of your research. 

The structure and wording of quantitative 2 and qualitative research 3 questions differ significantly. The quantitative study looks at causal relationships, whereas the qualitative study aims at exploring a phenomenon. 

• Quantitative research questions:  
• Seeks to investigate social, familial, or educational experiences or processes in a particular context and/or location.  
• Answers ‘how,’ ‘what,’ or ‘why’ questions. 
• Investigates connections, relations, or comparisons between independent and dependent variables. 

Quantitative research questions can be further categorized into descriptive, comparative, and relationship, as explained in the Table below. 

• Qualitative research questions  

Qualitative research questions are adaptable, non-directional, and more flexible. It concerns broad areas of research or more specific areas of study to discover, explain, or explore a phenomenon. These are further classified as follows: 

• Mixed-methods studies  

Mixed-methods studies use both quantitative and qualitative research questions to answer your research question. Mixed methods provide a complete picture than standalone quantitative or qualitative research, as it integrates the benefits of both methods. Mixed methods research is often used in multidisciplinary settings and complex situational or societal research, especially in the behavioral, health, and social science fields. 

What makes a good research question

A good research question should be clear and focused to guide your research. It should synthesize multiple sources to present your unique argument, and should ideally be something that you are interested in. But avoid questions that can be answered in a few factual statements. The following are the main attributes of a good research question. 

• Specific: The research question should not be a fishing expedition performed in the hopes that some new information will be found that will benefit the researcher. The central research question should work with your research problem to keep your work focused. If using multiple questions, they should all tie back to the central aim. 
• Measurable: The research question must be answerable using quantitative and/or qualitative data or from scholarly sources to develop your research question. If such data is impossible to access, it is better to rethink your question. 
• Attainable: Ensure you have enough time and resources to do all research required to answer your question. If it seems you will not be able to gain access to the data you need, consider narrowing down your question to be more specific. 
• You have the expertise 
• You have the equipment and resources 
• Realistic: Developing your research question should be based on initial reading about your topic. It should focus on addressing a problem or gap in the existing knowledge in your field or discipline. 
• Based on some sort of rational physics 
• Can be done in a reasonable time frame 
• Timely: The research question should contribute to an existing and current debate in your field or in society at large. It should produce knowledge that future researchers or practitioners can later build on. 
• Novel 
• Based on current technologies. 
• Important to answer current problems or concerns. 
• Lead to new directions. 
• Important: Your question should have some aspect of originality. Incremental research is as important as exploring disruptive technologies. For example, you can focus on a specific location or explore a new angle. 
• Meaningful whether the answer is “Yes” or “No.” Closed-ended, yes/no questions are too simple to work as good research questions. Such questions do not provide enough scope for robust investigation and discussion. A good research question requires original data, synthesis of multiple sources, and original interpretation and argumentation before providing an answer. 

Steps for developing a good research question

The importance of research questions cannot be understated. When drafting a research question, use the following frameworks to guide the components of your question to ease the process. 4  

• Determine the requirements: Before constructing a good research question, set your research requirements. What is the purpose? Is it descriptive, comparative, or explorative research? Determining the research aim will help you choose the most appropriate topic and word your question appropriately. 
• Select a broad research topic: Identify a broader subject area of interest that requires investigation. Techniques such as brainstorming or concept mapping can help identify relevant connections and themes within a broad research topic. For example, how to learn and help students learn. 
• Perform preliminary investigation: Preliminary research is needed to obtain up-to-date and relevant knowledge on your topic. It also helps identify issues currently being discussed from which information gaps can be identified. 
• Narrow your focus: Narrow the scope and focus of your research to a specific niche. This involves focusing on gaps in existing knowledge or recent literature or extending or complementing the findings of existing literature. Another approach involves constructing strong research questions that challenge your views or knowledge of the area of study (Example: Is learning consistent with the existing learning theory and research). 
• Identify the research problem: Once the research question has been framed, one should evaluate it. This is to realize the importance of the research questions and if there is a need for more revising (Example: How do your beliefs on learning theory and research impact your instructional practices). 

How to write a research question

Those struggling to understand how to write a research question, these simple steps can help you simplify the process of writing a research question. 

Sample Research Questions

The following are some bad and good research question examples 

• Example 1 
• Example 2 

References:  

• Thabane, L., Thomas, T., Ye, C., & Paul, J. (2009). Posing the research question: not so simple.  Canadian Journal of Anesthesia/Journal canadien d’anesthésie ,  56 (1), 71-79. 
• Rutberg, S., & Bouikidis, C. D. (2018). Focusing on the fundamentals: A simplistic differentiation between qualitative and quantitative research.  Nephrology Nursing Journal ,  45 (2), 209-213. 
• Kyngäs, H. (2020). Qualitative research and content analysis.  The application of content analysis in nursing science research , 3-11. 
• Mattick, K., Johnston, J., & de la Croix, A. (2018). How to… write a good research question.  The clinical teacher ,  15 (2), 104-108. 
• Fandino, W. (2019). Formulating a good research question: Pearls and pitfalls.  Indian Journal of Anaesthesia ,  63 (8), 611. 
• Richardson, W. S., Wilson, M. C., Nishikawa, J., & Hayward, R. S. (1995). The well-built clinical question: a key to evidence-based decisions.  ACP journal club ,  123 (3), A12-A13 

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How To Write a Research Question

Academic writing and research require a distinct focus and direction. A well-designed research question gives purpose and clarity to your research. In addition, it helps your readers understand the issue you are trying to address and explore.

Every time you want to know more about a subject, you will pose a question. The same idea is used in research as well. You must pose a question in order to effectively address a research problem. That's why the research question is an integral part of the research process. Additionally, it offers the author writing and reading guidelines, be it qualitative research or quantitative research.

In your research paper , you must single out just one issue or problem. The specific issue or claim you wish to address should be included in your thesis statement in order to clarify your main argument.

A good research question must have the following characteristics.

• Should include only one problem in the research question
• Should be able to find the answer using primary data and secondary data sources
• Should be possible to resolve within the given time and other constraints
• Detailed and in-depth results should be achievable
• Should be relevant and realistic.
• It should relate to your chosen area of research

While a larger project, like a thesis, might have several research questions to address, each one should be directed at your main area of study. Of course, you can use different research designs and research methods (qualitative research or quantitative research) to address various research questions. However, they must all be pertinent to the study's objectives.

What is a Research Question?

A research question is an inquiry that the research attempts to answer. It is the heart of the systematic investigation. Research questions are the most important step in any research project. In essence, it initiates the research project and establishes the pace for the specific research A research question is:

• Clear : It provides enough detail that the audience understands its purpose without any additional explanation.
• Focused : It is so specific that it can be addressed within the time constraints of the writing task.
• Succinct: It is written in the shortest possible words.
• Complex : It is not possible to answer it with a "yes" or "no", but requires analysis and synthesis of ideas before somebody can create a solution.
• Argumental : Its potential answers are open for debate rather than accepted facts.

A good research question usually focuses on the research and determines the research design, methodology, and hypothesis. It guides all phases of inquiry, data collection, analysis, and reporting. You should gather valuable information by asking the right questions.

Why are Research Questions so important?

Regardless of whether it is a qualitative research or quantitative research project, research questions provide writers and their audience with a way to navigate the writing and research process. Writers can avoid "all-about" papers by asking straightforward and specific research questions that help them focus on their research and support a specific thesis.

Types of Research Questions

There are two types of research: Qualitative research and Quantitative research . There must be research questions for every type of research. Your research question will be based on the type of research you want to conduct and the type of data collection.

The first step in designing research involves identifying a gap and creating a focused research question.

Below is a list of common research questions that can be used in a dissertation. Keep in mind that these are merely illustrations of typical research questions used in dissertation projects. The real research questions themselves might be more difficult.

Example Research Questions

The following are a few examples of research questions and research problems to help you understand how research questions can be created for a particular research problem.

Steps to Write Research Questions

You can focus on the issue or research gaps you're attempting to solve by using the research questions as a direction.

If you're unsure how to go about writing a good research question, these are the steps to follow in the process:

• Select an interesting topic Always choose a topic that interests you. Because if your curiosity isn’t aroused by a subject, you’ll have a hard time conducting research around it. Alos, it’s better that you pick something that’s neither too narrow or too broad.
• Do preliminary research on the topic Search for relevant literature to gauge what problems have already been tackled by scholars. You can do that conveniently through repositories like Scispace , where you’ll find millions of papers in one place. Once you do find the papers you’re looking for, try our reading assistant, SciSpace Copilot to get simple explanations for the paper . You’ll be able to quickly understand the abstract, find the key takeaways, and the main arguments presented in the paper. This will give you a more contextual understanding of your subject and you’ll have an easier time identifying knowledge gaps in your discipline.

     Also: ChatPDF vs. SciSpace Copilot: Unveiling the best tool for your research

• Consider your audience It is essential to understand your audience to develop focused research questions for essays or dissertations. When narrowing down your topic, you can identify aspects that might interest your audience.
• Ask questions Asking questions will give you a deeper understanding of the topic. Evaluate your question through the What, Why, When, How, and other open-ended questions assessment.
• Assess your question Once you have created a research question, assess its effectiveness to determine if it is useful for the purpose. Refine and revise the dissertation research question multiple times.

Additionally, use this list of questions as a guide when formulating your research question.

Are you able to answer a specific research question? After identifying a gap in research, it would be helpful to formulate the research question. And this will allow the research to solve a part of the problem. Is your research question clear and centered on the main topic? It is important that your research question should be specific and related to your central goal. Are you tackling a difficult research question? It is not possible to answer the research question with a simple yes or no. The problem requires in-depth analysis. It is often started with "How" and "Why."

Start your research Once you have completed your dissertation research questions, it is time to review the literature on similar topics to discover different perspectives.

Strong  Research Question Samples

Uncertain: How should social networking sites work on the hatred that flows through their platform?

Certain: What should social media sites like Twitter or Facebook do to address the harm they are causing?

This unclear question does not specify the social networking sites that are being used or what harm they might be causing. In addition, this question assumes that the "harm" has been proven and/or accepted. This version is more specific and identifies the sites (Twitter, Facebook), the type and extent of harm (privacy concerns), and who might be suffering from that harm (users). Effective research questions should not be ambiguous or interpreted.

Unfocused: What are the effects of global warming on the environment?

Focused: What are the most important effects of glacial melting in Antarctica on penguins' lives?

This broad research question cannot be addressed in a book, let alone a college-level paper. Focused research targets a specific effect of global heating (glacial  melting), an area (Antarctica), or a specific animal (penguins). The writer must also decide which effect will have the greatest impact on the animals affected. If in doubt, narrow down your research question to the most specific possible.

Too Simple: What are the U.S. doctors doing to treat diabetes?

Appropriately complex: Which factors, if any, are most likely to predict a person's risk of developing diabetes?

This simple version can be found online. It is easy to answer with a few facts. The second, more complicated version of this question is divided into two parts. It is thought-provoking and requires extensive investigation as well as evaluation by the author. So, ensure that a quick Google search should not answer your research question.

How to write a strong Research Question?

The foundation of all research is the research question. You should therefore spend as much time as necessary to refine your research question based on various data.

You can conduct your research more efficiently and analyze your results better if you have great research questions for your dissertation, research paper , or essay .

The following criteria can help you evaluate the strength and importance of your research question and can be used to determine the strength of your research question:

• Researchable
• It should only cover one issue.
• A subjective judgment should not be included in the question.
• It can be answered with data analysis and research.
• Specific and Practical
• It should not contain a plan of action, policy, or solution.
• It should be clearly defined
• Within research limits
• Complex and Arguable
• It shouldn't be difficult to answer.
• To find the truth, you need in-depth knowledge
• Allows for discussion and deliberation
• Original and Relevant
• It should be in your area of study
• Its results should be measurable
• It should be original

Conclusion - How to write Research Questions?

Research questions provide a clear guideline for research. One research question may be part of a larger project, such as a dissertation. However, each question should only focus on one topic.

Research questions must be answerable, practical, specific, and applicable to your field. The research type that you use to base your research questions on will determine the research topic. You can start by selecting an interesting topic and doing preliminary research. Then, you can begin asking questions, evaluating your questions, and start your research.

Now it's easier than ever to streamline your research workflow with SciSpace ResearchGPT . Its integrated, comprehensive end-to-end platform for research allows scholars to easily discover, read, write and publish their research and fosters collaboration.

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How to write a research question

Last updated

7 February 2023

Reviewed by

Miroslav Damyanov

In this article, we take an in-depth look at what a research question is, the different types of research questions, and how to write one (with examples). Read on to get started with your thesis, dissertation, or research paper .

Make research less tedious

Dovetail streamlines research to help you uncover and share actionable insights

• What is a research question?

A research question articulates exactly what you want to learn from your research. It stems directly from your research objectives, and you will arrive at an answer through data analysis and interpretation.

However, it is not that simple to write a research question—even when you know the question you intend to answer with your study. The main characteristics of a good research question are:

Feasible. You need to have the resources and abilities to examine the question, collect the data, and give answers.

Interesting. Create research questions that offer fascinating insights into your industry.

Novel. Research questions have to offer something new within your field of study.

Ethical. The research question topic should be approved by the relevant authorities and review boards.

Relevant. Your research question should lead to visible changes in society or your industry.

Usually, you write one single research question to guide your entire research paper. The answer becomes the thesis statement—the central position of your argument. A dissertation or thesis, on the other hand, may require multiple problem statements and research questions. However, they should be connected and focused on a specific problem.

• Importance of the research question

A research question acts as a guide for your entire study. It serves two vital purposes:

to determine the specific issue your research paper addresses

to identify clear objectives

Therefore, it helps split your research into small steps that you need to complete to provide answers.

Your research question will also provide boundaries for your study, which help set limits and ensure cohesion.

Finally, it acts as a frame of reference for assessing your work. Bear in mind that research questions can evolve, shift, and change during the early stages of your study or project.

• Types of research questions

The type of research you are conducting will dictate the type of research question to use. Primarily, research questions are grouped into three distinct categories of study:

qualitative

quantitative

mixed-method

Let’s look at each of these in turn:

Quantitative research questions

The number-one rule of quantitative research questions is that they are precise. They mainly include:

independent and dependent variables

the exact population being studied

the research design to be used

Therefore, you must frame and finalize quantitative research questions before starting the study.

Equally, a quantitative research question creates a link between itself and the research design. These questions cannot be answered with simple 'yes' or' no' responses, so they begin with words like 'does', 'do', 'are', and 'is'.

Quantitative research questions can be divided into three categories:

Relationship research questions usually leverage words such as 'trends' and 'association' because they include independent and dependent variables. They seek to define or explore trends and interactions between multiple variables.

Comparative research questions tend to analyze the differences between different groups to find an outcome variable. For instance, you may decide to compare two distinct groups where a specific variable is present in one and absent in the other.

Descriptive research questions usually start with the word 'what' and aim to measure how a population will respond to one or more variables.

Qualitative research questions

Like quantitative research questions, these questions are linked to the research design. However, qualitative research questions may deal with a specific or broad study area. This makes them more flexible, very adaptable, and usually non-directional.

Use qualitative research questions when your primary aim is to explain, discover, or explore.

There are seven types of qualitative research questions:

Explanatory research questions investigate particular topic areas that aren't well known.

Contextual research questions describe the workings of what is already in existence.

Evaluative research questions examine the effectiveness of specific paradigms or methods.

Ideological research questions aim to advance existing ideologies.

Descriptive research questions describe an event.

Generative research questions help develop actions and theories by providing new ideas.

Emancipatory research questions increase social action engagement, usually to benefit disadvantaged people.

Mixed-methods studies

With mixed-methods studies, you combine qualitative and quantitative research elements to get answers to your research question. This approach is ideal when you need a more complete picture. through a blend of the two approaches.

Mixed-methods research is excellent in multidisciplinary settings, societal analysis, and complex situations. Consider the following research question examples, which would be ideal candidates for a mixed-methods approach

How can non-voter and voter beliefs about democracy (qualitative) help explain Town X election turnout patterns (quantitative)?

How does students’ perception of their study environment (quantitative) relate to their test score differences (qualitative)?

• Developing a strong research question—a step-by-step guide

Research questions help break up your study into simple steps so you can quickly achieve your objectives and find answers. However, how do you develop a good research question? Here is our step-by-step guide:

1. Choose a topic

The first step is to select a broad research topic for your study. Pick something within your expertise and field that interests you. After all, the research itself will stem from the initial research question.

2. Conduct preliminary research

Once you have a broad topic, dig deeper into the problem by researching past studies in the field and gathering requirements from stakeholders if you work in a business setting.

Through this process, you will discover articles that mention areas not explored in that field or products that didn’t resonate with people’s expectations in a particular industry. For instance, you could explore specific topics that earlier research failed to study or products that failed to meet user needs.

3. Keep your audience in mind

Is your audience interested in the particular field you want to study? Are the research questions in your mind appealing and interesting to the audience? Defining your audience will help you refine your research question and ensure you pick a question that is relatable to your audience.

4. Generate a list of potential questions

Ask yourself numerous open-ended questions on the topic to create a potential list of research questions. You could start with broader questions and narrow them down to more specific ones. Don’t forget that you can challenge existing assumptions or use personal experiences to redefine research issues.

5. Review the questions

Evaluate your list of potential questions to determine which seems most effective. Ensure you consider the finer details of every question and possible outcomes. Doing this helps you determine if the questions meet the requirements of a research question.

6. Construct and evaluate your research question

Consider these two frameworks when constructing a good research question: PICOT and PEO. 

PICOT stands for:

P: Problem or population

I: Indicator or intervention to be studied

C: Comparison groups

O: Outcome of interest

T: Time frame

PEO stands for:

P: Population being studied

E: Exposure to any preexisting conditions

To evaluate your research question once you’ve constructed it, ask yourself the following questions:

Is it clear?

Your study should produce precise data and observations. For qualitative studies, the observations need to be delineable across categories. Quantitative studies must have measurable and empirical data.

Is it specific and focused?

An excellent research question must be specific enough to ensure your testing yields objective results. General or open-ended research questions are often ambiguous and subject to different kinds of interpretation.

Is it sufficiently complex?

Your research needs to yield substantial and consequential results to warrant the study. Merely supporting or reinforcing an existing paper is not good enough.

• Examples of good research questions

A robust research question actively contributes to a specific body of knowledge; it is a question that hasn’t been answered before within your research field.

Here are some examples of good and bad research questions :

Good: How effective are A and B policies at reducing the rates of Z?

Bad: Is A or B a better policy?

The first is more focused and researchable because it isn't based on value judgment. The second fails to give clear criteria for answering the question.

Good: What is the effect of daily Twitter use on the attention span of college students?

Bad: What is the effect of social media use on people's minds?

The first includes specific and well-defined concepts, which the second lacks.

Ensure all terms within your research question have precise meanings. Avoid vague or general language that makes the topic too broad.

• The bottom line

The success of any research starts with formulating the right questions that ensure you collect the most insightful data. A good research question will showcase the objectives of your systematic investigation and emphasize specific contexts.

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Creating a Good Research Question

• Advice & Growth
• Process in Practice

Successful translation of research begins with a strong question. How do you get started? How do good research questions evolve? And where do you find inspiration to generate good questions in the first place?  It’s helpful to understand existing frameworks, guidelines, and standards, as well as hear from researchers who utilize these strategies in their own work.

In the fall and winter of 2020, Naomi Fisher, MD, conducted 10 interviews with clinical and translational researchers at Harvard University and affiliated academic healthcare centers, with the purpose of capturing their experiences developing good research questions. The researchers featured in this project represent various specialties, drawn from every stage of their careers. Below you will find clips from their interviews and additional resources that highlight how to get started, as well as helpful frameworks and factors to consider. Additionally, visit the Advice & Growth section to hear candid advice and explore the Process in Practice section to hear how researchers have applied these recommendations to their published research.

• Naomi Fisher, MD , is associate professor of medicine at Harvard Medical School (HMS), and clinical staff at Brigham and Women’s Hospital (BWH). Fisher is founder and director of Hypertension Services and the Hypertension Specialty Clinic at the BWH, where she is a renowned endocrinologist. She serves as a faculty director for communication-related Boundary-Crossing Skills for Research Careers webinar sessions and the Writing and Communication Center .
• Christopher Gibbons, MD , is associate professor of neurology at HMS, and clinical staff at Beth Israel Deaconess Medical Center (BIDMC) and Joslin Diabetes Center. Gibbons’ research focus is on peripheral and autonomic neuropathies.
• Clare Tempany-Afdhal, MD , is professor of radiology at HMS and the Ferenc Jolesz Chair of Research, Radiology at BWH. Her major areas of research are MR imaging of the pelvis and image- guided therapy.
• David Sykes, MD, PhD , is assistant professor of medicine at Massachusetts General Hospital (MGH), he is also principal investigator at the Sykes Lab at MGH. His special interest area is rare hematologic conditions.
• Elliot Israel, MD , is professor of medicine at HMS, director of the Respiratory Therapy Department, the director of clinical research in the Pulmonary and Critical Care Medical Division and associate physician at BWH. Israel’s research interests include therapeutic interventions to alter asthmatic airway hyperactivity and the role of arachidonic acid metabolites in airway narrowing.
• Jonathan Williams, MD, MMSc , is assistant professor of medicine at HMS, and associate physician at BWH. He focuses on endocrinology, specifically unravelling the intricate relationship between genetics and environment with respect to susceptibility to cardiometabolic disease.
• Junichi Tokuda, PhD , is associate professor of radiology at HMS, and is a research scientist at the Department of Radiology, BWH. Tokuda is particularly interested in technologies to support image-guided “closed-loop” interventions. He also serves as a principal investigator leading several projects funded by the National Institutes of Health and industry.
• Osama Rahma, MD , is assistant professor of medicine at HMS and clinical staff member in medical oncology at Dana-Farber Cancer Institute (DFCI). Rhama is currently a principal investigator at the Center for Immuno-Oncology and Gastroenterology Cancer Center at DFCI. His research focus is on drug development of combinational immune therapeutics.
• Sharmila Dorbala, MD, MPH , is professor of radiology at HMS and clinical staff at BWH in cardiovascular medicine and radiology. She is also the president of the American Society of Nuclear Medicine. Dorbala’s specialty is using nuclear medicine for cardiovascular discoveries.
• Subha Ramani, PhD, MBBS, MMed , is associate professor of medicine at HMS, as well as associate physician in the Division of General Internal Medicine and Primary Care at BWH. Ramani’s scholarly interests focus on innovative approaches to teaching, learning and assessment of clinical trainees, faculty development in teaching, and qualitative research methods in medical education.
• Ursula Kaiser, MD , is professor at HMS and chief of the Division of Endocrinology, Diabetes and Hypertension, and senior physician at BWH. Kaiser’s research focuses on understanding the molecular mechanisms by which pulsatile gonadotropin-releasing hormone regulates the expression of luteinizing hormone and follicle-stimulating hormone genes.

Insights on Creating a Good Research Question

Play Junichi Tokuda video

Play Ursula Kaiser video

Start Successfully: Build the Foundation of a Good Research Question

Start Successfully Resources

Ideation in Device Development: Finding Clinical Need Josh Tolkoff, MS A lecture explaining the critical importance of identifying a compelling clinical need before embarking on a research project. Play Ideation in Device Development video .

Radical Innovation Jeff Karp, PhD This ThinkResearch podcast episode focuses on one researcher’s approach using radical simplicity to break down big problems and questions. Play Radical Innovation .

Using Healthcare Data: How can Researchers Come up with Interesting Questions? Anupam Jena, MD, PhD Another ThinkResearch podcast episode addresses how to discover good research questions by using a backward design approach which involves analyzing big data and allowing the research question to unfold from findings. Play Using Healthcare Data .

Important Factors: Consider Feasibility and Novelty

Refining Your Research Question 

Play video of Clare Tempany-Afdhal

Play Elliott Israel video

Frameworks and Structure: Evaluate Research Questions Using Tools and Techniques

Frameworks and Structure Resources

Designing Clinical Research Hulley et al. A comprehensive and practical guide to clinical research, including the FINER framework for evaluating research questions. Learn more about the book .

Translational Medicine Library Guide Queens University Library An introduction to popular frameworks for research questions, including FINER and PICO. Review translational medicine guide .

Asking a Good T3/T4 Question  Niteesh K. Choudhry, MD, PhD This video explains the PICO framework in practice as participants in a workshop propose research questions that compare interventions. Play Asking a Good T3/T4 Question video

Introduction to Designing & Conducting Mixed Methods Research An online course that provides a deeper dive into mixed methods’ research questions and methodologies. Learn more about the course

Network and Support: Find the Collaborators and Stakeholders to Help Evaluate Research Questions

Network & Support Resource

Bench-to-bedside, Bedside-to-bench Christopher Gibbons, MD In this lecture, Gibbons shares his experience of bringing research from bench to bedside, and from bedside to bench. His talk highlights the formation and evolution of research questions based on clinical need. Play Bench-to-bedside. 

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• Research Basics

Developing a Research Question

• Introduction
• The Research Process
• Scholarly & Peer-Reviewed
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• Quantitative vs. Qualitative
• Evaluating Sources

What is a research question?

A research question is an essential tool to help guide your research paper, project, or thesis. It poses a specific question that you are seeking to answer in your paper. Research questions can be broad or narrow, and can change throughout the research process.

A good research question should be:

• Focused on a single issue
• Specific enough to answer thoroughly in your paper
• Feasible to answer within the length of your paper
• Researchable using the resources available to you
• Relevant to your field of study and/or to society at large

The length of your paper and the research you're able to locate will help to shape your research question. A longer paper, like a thesis or dissertation, may require multiple research questions.

The answer to your research question develops into your thesis statement .

Writing Your Research Question

Chose a Topic

You should choose a research topic that is interesting to you. This will make the research and writing process much more bearable.

A good way to begin brainstorming research questions is to list all the questions you would like to see answered, or topics you would like to learn more about. You may have been provided a list of potential topics by your professor, if none are interesting to you ask if you can develop your own.

It is better to start broad and narrow down your focus as you go.

Do Preliminary Research

Reference materials like encyclopedias can also be good for this purpose.

Narrow Your Topic

Now that you have a basic idea of what research exists on your topic, you can begin to narrow your focus.

Make sure that your question is specific enough that it can be answered thoroughly in the length of your paper.

Developing a Research Question Video Tutorial

Using Keywords Video Tutorial

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How to Develop a Good Research Question? — Types & Examples

Cecilia is living through a tough situation in her research life. Figuring out where to begin, how to start her research study, and how to pose the right question for her research quest, is driving her insane. Well, questions, if not asked correctly, have a tendency to spiral us!

Image Source: https://phdcomics.com/

Questions lead everyone to answers. Research is a quest to find answers. Not the vague questions that Cecilia means to answer, but definitely more focused questions that define your research. Therefore, asking appropriate question becomes an important matter of discussion.

A well begun research process requires a strong research question. It directs the research investigation and provides a clear goal to focus on. Understanding the characteristics of comprising a good research question will generate new ideas and help you discover new methods in research.

In this article, we are aiming to help researchers understand what is a research question and how to write one with examples.

Table of Contents

What Is a Research Question?

A good research question defines your study and helps you seek an answer to your research. Moreover, a clear research question guides the research paper or thesis to define exactly what you want to find out, giving your work its objective. Learning to write a research question is the beginning to any thesis, dissertation , or research paper. Furthermore, the question addresses issues or problems which is answered through analysis and interpretation of data.

Why Is a Research Question Important?

A strong research question guides the design of a study. Moreover, it helps determine the type of research and identify specific objectives. Research questions state the specific issue you are addressing and focus on outcomes of the research for individuals to learn. Therefore, it helps break up the study into easy steps to complete the objectives and answer the initial question.

Types of Research Questions

Research questions can be categorized into different types, depending on the type of research you want to undergo. Furthermore, knowing the type of research will help a researcher determine the best type of research question to use.

1. Qualitative Research Question

Qualitative questions concern broad areas or more specific areas of research. However, unlike quantitative questions, qualitative research questions are adaptable, non-directional and more flexible. Qualitative research question focus on discovering, explaining, elucidating, and exploring.

i. Exploratory Questions

This form of question looks to understand something without influencing the results. The objective of exploratory questions is to learn more about a topic without attributing bias or preconceived notions to it.

Research Question Example: Asking how a chemical is used or perceptions around a certain topic.

ii. Predictive Questions

Predictive research questions are defined as survey questions that automatically predict the best possible response options based on text of the question. Moreover, these questions seek to understand the intent or future outcome surrounding a topic.

Research Question Example: Asking why a consumer behaves in a certain way or chooses a certain option over other.

iii. Interpretive Questions

This type of research question allows the study of people in the natural setting. The questions help understand how a group makes sense of shared experiences with regards to various phenomena. These studies gather feedback on a group’s behavior without affecting the outcome.

Research Question Example: How do you feel about AI assisting publishing process in your research?

2. Quantitative Research Question

Quantitative questions prove or disprove a researcher’s hypothesis through descriptions, comparisons, and relationships. These questions are beneficial when choosing a research topic or when posing follow-up questions that garner more information.

i. Descriptive Questions

It is the most basic type of quantitative research question and it seeks to explain when, where, why, or how something occurred. Moreover, they use data and statistics to describe an event or phenomenon.

Research Question Example: How many generations of genes influence a future generation?

ii. Comparative Questions

Sometimes it’s beneficial to compare one occurrence with another. Therefore, comparative questions are helpful when studying groups with dependent variables.

Example: Do men and women have comparable metabolisms?

iii. Relationship-Based Questions

This type of research question answers influence of one variable on another. Therefore, experimental studies use this type of research questions are majorly.

Example: How is drought condition affect a region’s probability for wildfires.  

How to Write a Good Research Question?

1. Select a Topic

The first step towards writing a good research question is to choose a broad topic of research. You could choose a research topic that interests you, because the complete research will progress further from the research question. Therefore, make sure to choose a topic that you are passionate about, to make your research study more enjoyable.

2. Conduct Preliminary Research

After finalizing the topic, read and know about what research studies are conducted in the field so far. Furthermore, this will help you find articles that talk about the topics that are yet to be explored. You could explore the topics that the earlier research has not studied.

3. Consider Your Audience

The most important aspect of writing a good research question is to find out if there is audience interested to know the answer to the question you are proposing. Moreover, determining your audience will assist you in refining your research question, and focus on aspects that relate to defined groups.

4. Generate Potential Questions

The best way to generate potential questions is to ask open ended questions. Questioning broader topics will allow you to narrow down to specific questions. Identifying the gaps in literature could also give you topics to write the research question. Moreover, you could also challenge the existing assumptions or use personal experiences to redefine issues in research.

5. Review Your Questions

Once you have listed few of your questions, evaluate them to find out if they are effective research questions. Moreover while reviewing, go through the finer details of the question and its probable outcome, and find out if the question meets the research question criteria.

6. Construct Your Research Question

There are two frameworks to construct your research question. The first one being PICOT framework , which stands for:

• Population or problem
• Intervention or indicator being studied
• Comparison group
• Outcome of interest
• Time frame of the study.

The second framework is PEO , which stands for:

• Population being studied
• Exposure to preexisting conditions
• Outcome of interest.

Research Question Examples

• How might the discovery of a genetic basis for alcoholism impact triage processes in medical facilities?
• How do ecological systems respond to chronic anthropological disturbance?
• What are demographic consequences of ecological interactions?
• What roles do fungi play in wildfire recovery?
• How do feedbacks reinforce patterns of genetic divergence on the landscape?
• What educational strategies help encourage safe driving in young adults?
• What makes a grocery store easy for shoppers to navigate?
• What genetic factors predict if someone will develop hypothyroidism?
• Does contemporary evolution along the gradients of global change alter ecosystems function?

How did you write your first research question ? What were the steps you followed to create a strong research question? Do write to us or comment below.

Frequently Asked Questions

Research questions guide the focus and direction of a research study. Here are common types of research questions: 1. Qualitative research question: Qualitative questions concern broad areas or more specific areas of research. However, unlike quantitative questions, qualitative research questions are adaptable, non-directional and more flexible. Different types of qualitative research questions are: i. Exploratory questions ii. Predictive questions iii. Interpretive questions 2. Quantitative Research Question: Quantitative questions prove or disprove a researcher’s hypothesis through descriptions, comparisons, and relationships. These questions are beneficial when choosing a research topic or when posing follow-up questions that garner more information. Different types of quantitative research questions are: i. Descriptive questions ii. Comparative questions iii. Relationship-based questions

Qualitative research questions aim to explore the richness and depth of participants' experiences and perspectives. They should guide your research and allow for in-depth exploration of the phenomenon under investigation. After identifying the research topic and the purpose of your research: • Begin with Broad Inquiry: Start with a general research question that captures the main focus of your study. This question should be open-ended and allow for exploration. • Break Down the Main Question: Identify specific aspects or dimensions related to the main research question that you want to investigate. • Formulate Sub-questions: Create sub-questions that delve deeper into each specific aspect or dimension identified in the previous step. • Ensure Open-endedness: Make sure your research questions are open-ended and allow for varied responses and perspectives. Avoid questions that can be answered with a simple "yes" or "no." Encourage participants to share their experiences, opinions, and perceptions in their own words. • Refine and Review: Review your research questions to ensure they align with your research purpose, topic, and objectives. Seek feedback from your research advisor or peers to refine and improve your research questions.

Developing research questions requires careful consideration of the research topic, objectives, and the type of study you intend to conduct. Here are the steps to help you develop effective research questions: 1. Select a Topic 2. Conduct Preliminary Research 3. Consider Your Audience 4. Generate Potential Questions 5. Review Your Questions 6. Construct Your Research Question Based on PICOT or PEO Framework

There are two frameworks to construct your research question. The first one being PICOT framework, which stands for: • Population or problem • Intervention or indicator being studied • Comparison group • Outcome of interest • Time frame of the study The second framework is PEO, which stands for: • Population being studied • Exposure to preexisting conditions • Outcome of interest

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How to Write a Good Research Question (w/ Examples)

What is a Research Question?

A research question is the main question that your study sought or is seeking to answer. A clear research question guides your research paper or thesis and states exactly what you want to find out, giving your work a focus and objective. Learning  how to write a hypothesis or research question is the start to composing any thesis, dissertation, or research paper. It is also one of the most important sections of a research proposal . 

A good research question not only clarifies the writing in your study; it provides your readers with a clear focus and facilitates their understanding of your research topic, as well as outlining your study’s objectives. Before drafting the paper and receiving research paper editing (and usually before performing your study), you should write a concise statement of what this study intends to accomplish or reveal.

Research Question Writing Tips

Listed below are the important characteristics of a good research question:

A good research question should:

• Be clear and provide specific information so readers can easily understand the purpose.
• Be focused in its scope and narrow enough to be addressed in the space allowed by your paper
• Be relevant and concise and express your main ideas in as few words as possible, like a hypothesis.
• Be precise and complex enough that it does not simply answer a closed “yes or no” question, but requires an analysis of arguments and literature prior to its being considered acceptable. 
• Be arguable or testable so that answers to the research question are open to scrutiny and specific questions and counterarguments.

Some of these characteristics might be difficult to understand in the form of a list. Let’s go into more detail about what a research question must do and look at some examples of research questions.

The research question should be specific and focused 

Research questions that are too broad are not suitable to be addressed in a single study. One reason for this can be if there are many factors or variables to consider. In addition, a sample data set that is too large or an experimental timeline that is too long may suggest that the research question is not focused enough.

A specific research question means that the collective data and observations come together to either confirm or deny the chosen hypothesis in a clear manner. If a research question is too vague, then the data might end up creating an alternate research problem or hypothesis that you haven’t addressed in your Introduction section .

The research question should be based on the literature 

An effective research question should be answerable and verifiable based on prior research because an effective scientific study must be placed in the context of a wider academic consensus. This means that conspiracy or fringe theories are not good research paper topics.

Instead, a good research question must extend, examine, and verify the context of your research field. It should fit naturally within the literature and be searchable by other research authors.

References to the literature can be in different citation styles and must be properly formatted according to the guidelines set forth by the publishing journal, university, or academic institution. This includes in-text citations as well as the Reference section . 

The research question should be realistic in time, scope, and budget

There are two main constraints to the research process: timeframe and budget.

A proper research question will include study or experimental procedures that can be executed within a feasible time frame, typically by a graduate doctoral or master’s student or lab technician. Research that requires future technology, expensive resources, or follow-up procedures is problematic.

A researcher’s budget is also a major constraint to performing timely research. Research at many large universities or institutions is publicly funded and is thus accountable to funding restrictions. 

The research question should be in-depth

Research papers, dissertations and theses , and academic journal articles are usually dozens if not hundreds of pages in length.

A good research question or thesis statement must be sufficiently complex to warrant such a length, as it must stand up to the scrutiny of peer review and be reproducible by other scientists and researchers.

Research Question Types

Qualitative and quantitative research are the two major types of research, and it is essential to develop research questions for each type of study. 

Quantitative Research Questions

Quantitative research questions are specific. A typical research question involves the population to be studied, dependent and independent variables, and the research design.

In addition, quantitative research questions connect the research question and the research design. In addition, it is not possible to answer these questions definitively with a “yes” or “no” response. For example, scientific fields such as biology, physics, and chemistry often deal with “states,” in which different quantities, amounts, or velocities drastically alter the relevance of the research.

As a consequence, quantitative research questions do not contain qualitative, categorical, or ordinal qualifiers such as “is,” “are,” “does,” or “does not.”

Categories of quantitative research questions

Qualitative research questions.

In quantitative research, research questions have the potential to relate to broad research areas as well as more specific areas of study. Qualitative research questions are less directional, more flexible, and adaptable compared with their quantitative counterparts. Thus, studies based on these questions tend to focus on “discovering,” “explaining,” “elucidating,” and “exploring.”

Categories of qualitative research questions

Quantitative and qualitative research question examples.

Good and Bad Research Question Examples

Below are some good (and not-so-good) examples of research questions that researchers can use to guide them in crafting their own research questions.

Research Question Example 1

The first research question is too vague in both its independent and dependent variables. There is no specific information on what “exposure” means. Does this refer to comments, likes, engagement, or just how much time is spent on the social media platform?

Second, there is no useful information on what exactly “affected” means. Does the subject’s behavior change in some measurable way? Or does this term refer to another factor such as the user’s emotions?

Research Question Example 2

In this research question, the first example is too simple and not sufficiently complex, making it difficult to assess whether the study answered the question. The author could really only answer this question with a simple “yes” or “no.” Further, the presence of data would not help answer this question more deeply, which is a sure sign of a poorly constructed research topic.

The second research question is specific, complex, and empirically verifiable. One can measure program effectiveness based on metrics such as attendance or grades. Further, “bullying” is made into an empirical, quantitative measurement in the form of recorded disciplinary actions.

Steps for Writing a Research Question

Good research questions are relevant, focused, and meaningful. It can be difficult to come up with a good research question, but there are a few steps you can follow to make it a bit easier.

1. Start with an interesting and relevant topic

Choose a research topic that is interesting but also relevant and aligned with your own country’s culture or your university’s capabilities. Popular academic topics include healthcare and medical-related research. However, if you are attending an engineering school or humanities program, you should obviously choose a research question that pertains to your specific study and major.

Below is an embedded graph of the most popular research fields of study based on publication output according to region. As you can see, healthcare and the basic sciences receive the most funding and earn the highest number of publications. 

2. Do preliminary research  

You can begin doing preliminary research once you have chosen a research topic. Two objectives should be accomplished during this first phase of research. First, you should undertake a preliminary review of related literature to discover issues that scholars and peers are currently discussing. With this method, you show that you are informed about the latest developments in the field.

Secondly, identify knowledge gaps or limitations in your topic by conducting a preliminary literature review . It is possible to later use these gaps to focus your research question after a certain amount of fine-tuning.

3. Narrow your research to determine specific research questions

You can focus on a more specific area of study once you have a good handle on the topic you want to explore. Focusing on recent literature or knowledge gaps is one good option. 

By identifying study limitations in the literature and overlooked areas of study, an author can carve out a good research question. The same is true for choosing research questions that extend or complement existing literature.

4. Evaluate your research question

Make sure you evaluate the research question by asking the following questions:

Is my research question clear?

The resulting data and observations that your study produces should be clear. For quantitative studies, data must be empirical and measurable. For qualitative, the observations should be clearly delineable across categories.

Is my research question focused and specific?

A strong research question should be specific enough that your methodology or testing procedure produces an objective result, not one left to subjective interpretation. Open-ended research questions or those relating to general topics can create ambiguous connections between the results and the aims of the study. 

Is my research question sufficiently complex?

The result of your research should be consequential and substantial (and fall sufficiently within the context of your field) to warrant an academic study. Simply reinforcing or supporting a scientific consensus is superfluous and will likely not be well received by most journal editors.  

Editing Your Research Question

Your research question should be fully formulated well before you begin drafting your research paper. However, you can receive English paper editing and proofreading services at any point in the drafting process. Language editors with expertise in your academic field can assist you with the content and language in your Introduction section or other manuscript sections. And if you need further assistance or information regarding paper compositions, in the meantime, check out our academic resources , which provide dozens of articles and videos on a variety of academic writing and publication topics.

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How To Write a Good Research Question: Guide with Definition, Tips & Examples

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Research questions form the backbone of any study, guiding researchers in their search for knowledge and understanding. Framing relevant research questions is the first essential step for ensuring the research is effective and produces valuable insights.

In this blog, we’ll explore what research questions are, tips for crafting them, and a variety of research question examples across different fields to help you formulate a well-balanced research questionnaire.

Let’s begin.

What Is a Research Question?

A research question is a specific inquiry or problem statement guiding a research study, outlining the researcher’s intention to investigate. Think of it as a roadmap for your paper or thesis – it tells you exactly what you want to explore, giving your work a clear purpose.

A good research question not only helps you focus your writing but also guides your readers. It gives them a clear idea of what your research is about and what you aim to achieve. Before you start drafting your paper and even before you conduct your study, it’s important to write a concise statement of what you want to accomplish or discover.

This sets the stage for your research and ensures your work is focused and purposeful.

Why Are Research Questions Important?

Research questions are the cornerstone of any academic or scientific inquiry. They serve as a guide for the research process, helping to focus the study, define its goals, and structure its methodology. 

Below are some of its most significant impacts, along with hypothetical examples to help you understand them better:

1. Guidance and Focus

Research questions provide a clear direction for the study, enabling researchers to narrow down the scope of their investigation to a manageable size. Research efforts can become scattered and unfocused without a well-defined question without a well-defined question, leading to wasted time and resources.

For example, consider a researcher interested in studying the effects of technology on education. A broad interest in technology and education could lead to an overwhelming range of topics to cover. However, by formulating a specific research question such as, “ How does the use of interactive digital textbooks in high school science classes affect students’ learning outcomes?” the researcher can focus their study on a specific aspect of technology in education, making the research more manageable and directed.

2. Defining the Research Objectives

A well-crafted research question helps to clearly define what the researcher aims to discover, examine, or analyze. This clarity is crucial for determining the study’s objectives and ensures that every step of the research process contributes toward achieving these goals.

For example, in a study aimed at understanding the impact of remote work on employee productivity, a research question such as “ Does remote work increase productivity among information technology professionals? ” directly sets the objective of the study to measure productivity levels among a specific group when working remotely.

3. Determining the Research Methodology

The research question influences the choice of methodology, including the design, data collection methods, and analysis techniques. It dictates whether the study should be qualitative, quantitative, or mixed methods and guides the selection of tools and procedures for conducting the research.

For example, in a research question like “ What are the lived experiences of first-generation college students? ” a qualitative approach using interviews or focus groups might be chosen to gather deep, nuanced insights into students’ experiences. In contrast, a question such as “ What percentage of first-generation college students graduate within four years?” would require a quantitative approach, possibly utilizing existing educational data sets for analysis.

4. Enhancing Relevance and Contribution

A well-thought-out research question ensures that the study addresses a gap in the existing literature or solves a real-world problem. This relevance is crucial for the contribution of the research to the field, as it helps to advance knowledge, inform policy, or offer practical solutions.

For example, in a scenario where existing research has largely overlooked the environmental impacts of single-use plastics in urban waterways, a question like “ What are the effects of single-use plastic pollution on the biodiversity of urban waterways?” can fill this gap, contributing valuable new insights to environmental science and potentially influencing urban environmental policies.

5. Facilitating Data Interpretation and Analysis

Clear research questions help in structuring the analysis, guiding the interpretation of data, and framing the discussion of results. They ensure that the data collected is directly relevant to the questions posed, making it easier to draw meaningful conclusions.

For example, in a study asking, “ How do social media algorithms influence political polarization among users? ” the data analysis would specifically focus on the mechanisms of algorithmic content delivery and its effects on user behavior and political views. This focus makes it straightforward to interpret how algorithm-induced echo chambers might contribute to polarization.

Types of Research Questions

Understanding the different types of research questions is essential for researchers to effectively design and conduct studies that align with their research objectives and methodologies

These questions can be broadly categorized into three main types: quantitative, qualitative, and mixed-method research questions.

Let’s explore each type in-depth, along with some examples.

Type A: Quantitative Research Questions

Quantitative research involves the collection and analysis of numerical data to answer specific research questions or hypotheses. It focuses on quantifying relationships, patterns, and phenomena, often using statistical methods for analysis. Quantitative research questions are typically structured and aim to explore relationships between variables or assess the impact of interventions.

Quantitative research questions can again be subcategorized into three distinct types:

1. Descriptive Questions :

Descriptive questions aim to describe characteristics, behaviors, or phenomena within a population. These questions often start with words like “ how much ,” “ how many ,” or “ what is the frequency of .” They provide a snapshot of a particular situation or phenomenon.

Example: “ What is the average age of first-time homebuyers in the United States?”

2. Comparative Questions :

Comparative questions seek to compare two or more groups, conditions, or variables to identify differences or similarities. They often involve the use of statistical tests to determine the significance of observed differences or associations.

Example: “Is there a significant difference in academic performance between students who receive tutoring and those who do not?”

3. Relationship Questions:

Relationship questions explore the associations or correlations between variables. They aim to determine the strength and direction of relationships, allowing researchers to assess the predictive power of one variable on another.

Example: “What is the relationship between exercise frequency and levels of anxiety among adults?”

Type B: Qualitative Research Questions

Qualitative research involves the exploring and understanding of complex phenomena through an in-depth examination of individuals’ experiences, behaviors, and perspectives. It aims to uncover meaning, patterns, and underlying processes within a specific context, often through techniques such as interviews, observations, and content analysis.

Types of qualitative research questions:

1. Exploratory Questions:

Exploratory questions seek to understand a particular phenomenon or issue in depth. They aim to uncover new insights, perspectives, or dimensions that may not have been previously considered.

Example: “What are the experiences of LGBTQ+ individuals in accessing healthcare services in rural communities?”

2. Descriptive Questions:

Descriptive questions aim to provide a detailed description or portrayal of a phenomenon or social context. They focus on capturing the intricacies and nuances of a particular situation or setting.

Example: “What are the communication patterns within multicultural teams in a corporate setting?”

3. Explanatory Questions:

Explanatory questions delve into the underlying reasons, mechanisms, or processes that influence a phenomenon or behavior. They aim to uncover the ‘why’ behind observed patterns or relationships.

Example: “What factors contribute to employee turnover in the hospitality industry?”

Type C: Mixed-Methods Research Questions

Mixed-methods research integrates both quantitative and qualitative approaches within a single study, allowing researchers to gain a comprehensive understanding of a research problem. Mixed-method research questions are designed to address complex phenomena from multiple perspectives, combining the strengths of both quantitative and qualitative methodologies.

Types of Mixed-Methods Research Questions:

1. Sequential Questions:

Sequential questions involve the collection and analysis of quantitative and qualitative data in separate phases or stages. The findings from one phase inform the design and implementation of the subsequent phase.

Example: “Quantitatively, what are the prevalence rates of mental health disorders among adolescents? Qualitatively, what are the factors influencing help-seeking behaviors among adolescents with mental health concerns?”

2. Concurrent Questions:

Concurrent questions involve the simultaneous collection and analysis of quantitative and qualitative data. Researchers triangulate findings from both methods to provide a more comprehensive understanding of the research problem.

Example: “How do students’ academic performance (quantitative) correlate with their perceptions of school climate (qualitative)?”

3. Transformative Questions:

Transformative questions aim to use mixed-methods research to bring about social change or inform policy decisions. They seek to address complex societal issues by combining quantitative data on prevalence rates or trends with qualitative insights into lived experiences and perspectives.

Example: “What are the barriers to accessing healthcare services for underserved communities, and how can healthcare policies be redesigned to address these barriers effectively?”

Steps to Developing a Good Research Question

Developing a good research question is a crucial first step in any research endeavor. A well-crafted research question serves as the foundation for the entire study, guiding the researcher in formulating hypotheses, selecting appropriate methodologies, and conducting meaningful analyses.

Here are the steps to developing a good research question:

Identify a Broad Topic

Begin by identifying a broad area of interest or a topic that you would like to explore. This could stem from your academic discipline, professional interests, or personal curiosity. However, make sure to choose a topic that is both relevant and feasible for research within the constraints of your resources and expertise.

Conduct Preliminary Research

Before refining your research question, conduct preliminary research to familiarize yourself with existing literature and identify gaps, controversies, or unanswered questions within your chosen topic. This step will help you narrow down your focus and ensure that your research question contributes to the existing body of knowledge.

Narrow Down Your Focus

Based on your preliminary research, narrow down your focus to a specific aspect, problem, or issue within your chosen topic. Consider the scope of your study, the availability of resources, and the feasibility of addressing your research question within a reasonable timeframe. Narrowing down your focus will help you formulate a more precise and manageable research question.

Define Key Concepts and Variables

Clearly define the key concepts, variables, or constructs that are central to your research question. This includes identifying the main variables you will be investigating, as well as any relevant theoretical or conceptual frameworks that will guide your study. Clarifying these aspects will ensure that your research question is clear, specific, and focused.

Formulate Your Research Question

Based on your narrowed focus and defined key concepts, formulate your research question. A good research question is concise, specific, and clearly articulated. It should be phrased in a way that is open-ended and leads to further inquiry. Avoid vague or overly broad questions that are difficult to answer or lack clarity.

Consider the Type of Research

Consider whether your research question is best suited for quantitative, qualitative, or mixed-methods research. The type of research question will influence your choice of methodologies, data collection techniques, and analytical approaches. Tailor your research question to align with the goals and requirements of your chosen research paradigm.

Evaluate the Significance and Relevance

Evaluate the significance and relevance of your research question within the context of your academic discipline, field of study, or practical implications. Consider how your research question fills gaps in knowledge, addresses practical problems, or advances theoretical understanding. A good research question should be meaningful and contribute to the broader scholarly conversation.

Refine and Revise

Finally, refine and revise your research question based on feedback from colleagues, advisors, or peers. Consider whether the question is clear, feasible, and likely to yield meaningful results. Be open to making revisions as needed to ensure that your research question is well-constructed and aligned with the goals of your study.

Examples of Research Questions

Below are some example research questions from various fields to provide a glimpse into the diverse array of inquiries within each field.

1. Psychology Research Questions:

• How does childhood trauma influence the development of personality disorders in adulthood?
• What are the effects of mindfulness meditation on reducing symptoms of anxiety and depression?
• How does social media usage impact self-esteem among adolescents?
• What factors contribute to the formation and maintenance of romantic relationships in young adults?
• What are the cognitive mechanisms underlying decision-making processes in individuals with addiction?
• How does parenting style affect the development of resilience in children?
• What are the long-term effects of early childhood attachment patterns on adult romantic relationships?
• What role does genetics play in the predisposition to mental health disorders such as schizophrenia?
• How does exposure to violent media influence aggressive behavior in children?
• What are the psychological effects of social isolation on mental health during the COVID-19 pandemic?

2. Business Research Questions:

• What are the key factors influencing consumer purchasing behavior in the e-commerce industry?
• How does organizational culture impact employee job satisfaction and retention?
• What are the strategies for successful international market entry for small businesses?
• What are the effects of corporate social responsibility initiatives on brand reputation and consumer loyalty?
• How do leadership styles influence organizational innovation and performance?
• What are the challenges and opportunities for implementing sustainable business practices in emerging markets?
• What factors contribute to the success of startups in the technology sector?
• How do economic fluctuations affect consumer confidence and spending behavior?
• What are the impacts of globalization on supply chain management practices?
• What are the determinants of successful mergers and acquisitions in the corporate sector?

3. Education Research Questions:

• What teaching strategies are most effective for promoting student engagement in online learning environments?
• How does socioeconomic status impact academic achievement and educational attainment?
• What are the barriers to inclusive education for students with disabilities?
• What factors influence teacher job satisfaction and retention in urban schools?
• How does parental involvement affect student academic performance and school outcomes?
• What are the effects of early childhood education programs on later academic success?
• How do culturally responsive teaching practices impact student learning outcomes in diverse classrooms?
• What are the best practices for implementing technology integration in K-12 education?
• How do school leadership practices influence school climate and student outcomes?
• What interventions are most effective for addressing the achievement gap in STEM education?

4. Healthcare Research Questions:

• What are the factors influencing healthcare-seeking behavior among underserved populations?
• How does patient-provider communication affect patient satisfaction and treatment adherence?
• What are the barriers to implementing telemedicine services in rural communities?
• What interventions are effective for reducing hospital readmissions among elderly patients?
• How does access to healthcare services impact health disparities among marginalized communities?
• What are the effects of nurse staffing levels on patient outcomes in acute care settings?
• How do socioeconomic factors influence access to mental healthcare services?
• What are the best practices for managing chronic disease patients in primary care settings?
• What are the impacts of healthcare reform policies on healthcare delivery and patient outcomes?
• How does cultural competence training for healthcare providers affect patient trust and satisfaction?

5. Computer Science Research Questions:

• What are the security vulnerabilities of blockchain technology, and how can they be mitigated?
• How can machine learning algorithms be used to detect and prevent cyber-attacks?
• What are the privacy implications of data mining techniques in social media platforms?
• How can artificial intelligence be used to improve medical diagnosis and treatment?
• What are the challenges and opportunities for implementing edge computing in IoT systems?
• How can natural language processing techniques be applied to improve human-computer interaction?
• What are the impacts of algorithmic bias on fairness and equity in decision-making systems?
• How can quantum computing algorithms be optimized for solving complex computational problems?
• What are the ethical considerations surrounding the use of autonomous vehicles in transportation systems?
• How does the design of user interfaces influence user experience and usability in mobile applications?

Create a Compelling Research Question With the Given Examples

Understanding research questions is essential for any successful research endeavor. We’ve explored the various research questions – quantitative, qualitative, and mixed-methods – each with unique characteristics and purposes.

Through various examples, tips, and strategies, we’ve seen how research questions can be tailored to specific fields of study.

By following these guidelines, we are confident that your research questions will be well-designed, focused, and capable of yielding valuable insights.

Frequently Asked Questions

What are some good research question examples.

Good research questions are clear, specific, relevant, and feasible. For example, “How does childhood trauma influence the development of personality disorders in adulthood?”

What are some examples of good and bad research questions?

Good research questions are focused and relevant, such as “What factors influence employee job satisfaction in the hospitality industry?” Bad research questions are vague or trivial, like “What is the favorite color of employees in the hospitality industry?”

Watch: How to Create a Survey Using ProProfs Survey Maker

About the author

Emma David is a seasoned market research professional with 8+ years of experience. Having kick-started her journey in research, she has developed rich expertise in employee engagement, survey creation and administration, and data management. Emma believes in the power of data to shape business performance positively. She continues to help brands and businesses make strategic decisions and improve their market standing through her understanding of research methodologies.

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Designing a Research Question

• First Online: 29 November 2023

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• Ahmed Ibrahim 3 &
• Camille L. Bryant 3  

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This chapter discusses (1) the important role of research questions for descriptive, predictive, and causal studies across the three research paradigms (i.e., quantitative, qualitative, and mixed methods); (2) characteristics of quality research questions, and (3) three frameworks to support the development of research questions and their dissemination within scholarly work. For the latter, a description of the P opulation/ P articipants, I ntervention/ I ndependent variable, C omparison, and O utcomes (PICO) framework for quantitative research as well as variations depending on the type of research is provided. Second, we discuss the P articipants, central Ph enomenon, T ime, and S pace (PPhTS) framework for qualitative research. The combination of these frameworks is discussed for mixed-methods research. Further, templates and examples are provided to support the novice health scholar in developing research questions for applied and theoretical studies. Finally, we discuss the Create a Research Space (CARS) model for introducing research questions as part of a research study, to demonstrate how scholars can apply their knowledge when disseminating research.

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Ibrahim, A., Bryant, C.L. (2023). Designing a Research Question. In: Fitzgerald, A.S., Bosch, G. (eds) Education Scholarship in Healthcare. Springer, Cham. https://doi.org/10.1007/978-3-031-38534-6_4

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Formulation of Research Question – Stepwise Approach

Simmi k. ratan.

Department of Pediatric Surgery, Maulana Azad Medical College, New Delhi, India

1 Department of Community Medicine, North Delhi Municipal Corporation Medical College, New Delhi, India

2 Department of Pediatric Surgery, Batra Hospital and Research Centre, New Delhi, India

Formulation of research question (RQ) is an essentiality before starting any research. It aims to explore an existing uncertainty in an area of concern and points to a need for deliberate investigation. It is, therefore, pertinent to formulate a good RQ. The present paper aims to discuss the process of formulation of RQ with stepwise approach. The characteristics of good RQ are expressed by acronym “FINERMAPS” expanded as feasible, interesting, novel, ethical, relevant, manageable, appropriate, potential value, publishability, and systematic. A RQ can address different formats depending on the aspect to be evaluated. Based on this, there can be different types of RQ such as based on the existence of the phenomenon, description and classification, composition, relationship, comparative, and causality. To develop a RQ, one needs to begin by identifying the subject of interest and then do preliminary research on that subject. The researcher then defines what still needs to be known in that particular subject and assesses the implied questions. After narrowing the focus and scope of the research subject, researcher frames a RQ and then evaluates it. Thus, conception to formulation of RQ is very systematic process and has to be performed meticulously as research guided by such question can have wider impact in the field of social and health research by leading to formulation of policies for the benefit of larger population.

I NTRODUCTION

A good research question (RQ) forms backbone of a good research, which in turn is vital in unraveling mysteries of nature and giving insight into a problem.[ 1 , 2 , 3 , 4 ] RQ identifies the problem to be studied and guides to the methodology. It leads to building up of an appropriate hypothesis (Hs). Hence, RQ aims to explore an existing uncertainty in an area of concern and points to a need for deliberate investigation. A good RQ helps support a focused arguable thesis and construction of a logical argument. Hence, formulation of a good RQ is undoubtedly one of the first critical steps in the research process, especially in the field of social and health research, where the systematic generation of knowledge that can be used to promote, restore, maintain, and/or protect health of individuals and populations.[ 1 , 3 , 4 ] Basically, the research can be classified as action, applied, basic, clinical, empirical, administrative, theoretical, or qualitative or quantitative research, depending on its purpose.[ 2 ]

Research plays an important role in developing clinical practices and instituting new health policies. Hence, there is a need for a logical scientific approach as research has an important goal of generating new claims.[ 1 ]

C HARACTERISTICS OF G OOD R ESEARCH Q UESTION

“The most successful research topics are narrowly focused and carefully defined but are important parts of a broad-ranging, complex problem.”

A good RQ is an asset as it:

• Details the problem statement
• Further describes and refines the issue under study
• Adds focus to the problem statement
• Guides data collection and analysis
• Sets context of research.

Hence, while writing RQ, it is important to see if it is relevant to the existing time frame and conditions. For example, the impact of “odd-even” vehicle formula in decreasing the level of air particulate pollution in various districts of Delhi.

A good research is represented by acronym FINERMAPS[ 5 ]

Interesting.

• Appropriate
• Potential value and publishability
• Systematic.

Feasibility means that it is within the ability of the investigator to carry out. It should be backed by an appropriate number of subjects and methodology as well as time and funds to reach the conclusions. One needs to be realistic about the scope and scale of the project. One has to have access to the people, gadgets, documents, statistics, etc. One should be able to relate the concepts of the RQ to the observations, phenomena, indicators, or variables that one can access. One should be clear that the collection of data and the proceedings of project can be completed within the limited time and resources available to the investigator. Sometimes, a RQ appears feasible, but when fieldwork or study gets started, it proves otherwise. In this situation, it is important to write up the problems honestly and to reflect on what has been learned. One should try to discuss with more experienced colleagues or the supervisor so as to develop a contingency plan to anticipate possible problems while working on a RQ and find possible solutions in such situations.

This is essential that one has a real grounded interest in one's RQ and one can explore this and back it up with academic and intellectual debate. This interest will motivate one to keep going with RQ.

The question should not simply copy questions investigated by other workers but should have scope to be investigated. It may aim at confirming or refuting the already established findings, establish new facts, or find new aspects of the established facts. It should show imagination of the researcher. Above all, the question has to be simple and clear. The complexity of a question can frequently hide unclear thoughts and lead to a confused research process. A very elaborate RQ, or a question which is not differentiated into different parts, may hide concepts that are contradictory or not relevant. This needs to be clear and thought-through. Having one key question with several subcomponents will guide your research.

This is the foremost requirement of any RQ and is mandatory to get clearance from appropriate authorities before stating research on the question. Further, the RQ should be such that it minimizes the risk of harm to the participants in the research, protect the privacy and maintain their confidentiality, and provide the participants right to withdraw from research. It should also guide in avoiding deceptive practices in research.

The question should of academic and intellectual interest to people in the field you have chosen to study. The question preferably should arise from issues raised in the current situation, literature, or in practice. It should establish a clear purpose for the research in relation to the chosen field. For example, filling a gap in knowledge, analyzing academic assumptions or professional practice, monitoring a development in practice, comparing different approaches, or testing theories within a specific population are some of the relevant RQs.

Manageable (M): It has the similar essence as of feasibility but mainly means that the following research can be managed by the researcher.

Appropriate (A): RQ should be appropriate logically and scientifically for the community and institution.

Potential value and publishability (P): The study can make significant health impact in clinical and community practices. Therefore, research should aim for significant economic impact to reduce unnecessary or excessive costs. Furthermore, the proposed study should exist within a clinical, consumer, or policy-making context that is amenable to evidence-based change. Above all, a good RQ must address a topic that has clear implications for resolving important dilemmas in health and health-care decisions made by one or more stakeholder groups.

Systematic (S): Research is structured with specified steps to be taken in a specified sequence in accordance with the well-defined set of rules though it does not rule out creative thinking.

Example of RQ: Would the topical skin application of oil as a skin barrier reduces hypothermia in preterm infants? This question fulfills the criteria of a good RQ, that is, feasible, interesting, novel, ethical, and relevant.

Types of research question

A RQ can address different formats depending on the aspect to be evaluated.[ 6 ] For example:

• Existence: This is designed to uphold the existence of a particular phenomenon or to rule out rival explanation, for example, can neonates perceive pain?
• Description and classification: This type of question encompasses statement of uniqueness, for example, what are characteristics and types of neuropathic bladders?
• Composition: It calls for breakdown of whole into components, for example, what are stages of reflux nephropathy?
• Relationship: Evaluate relation between variables, for example, association between tumor rupture and recurrence rates in Wilm's tumor
• Descriptive—comparative: Expected that researcher will ensure that all is same between groups except issue in question, for example, Are germ cell tumors occurring in gonads more aggressive than those occurring in extragonadal sites?
• Causality: Does deletion of p53 leads to worse outcome in patients with neuroblastoma?
• Causality—comparative: Such questions frequently aim to see effect of two rival treatments, for example, does adding surgical resection improves survival rate outcome in children with neuroblastoma than with chemotherapy alone?
• Causality–Comparative interactions: Does immunotherapy leads to better survival outcome in neuroblastoma Stage IV S than with chemotherapy in the setting of adverse genetic profile than without it? (Does X cause more changes in Y than those caused by Z under certain condition and not under other conditions).

How to develop a research question

• Begin by identifying a broader subject of interest that lends itself to investigate, for example, hormone levels among hypospadias
• Do preliminary research on the general topic to find out what research has already been done and what literature already exists.[ 7 ] Therefore, one should begin with “information gaps” (What do you already know about the problem? For example, studies with results on testosterone levels among hypospadias
• What do you still need to know? (e.g., levels of other reproductive hormones among hypospadias)
• What are the implied questions: The need to know about a problem will lead to few implied questions. Each general question should lead to more specific questions (e.g., how hormone levels differ among isolated hypospadias with respect to that in normal population)
• Narrow the scope and focus of research (e.g., assessment of reproductive hormone levels among isolated hypospadias and hypospadias those with associated anomalies)
• Is RQ clear? With so much research available on any given topic, RQs must be as clear as possible in order to be effective in helping the writer direct his or her research
• Is the RQ focused? RQs must be specific enough to be well covered in the space available
• Is the RQ complex? RQs should not be answerable with a simple “yes” or “no” or by easily found facts. They should, instead, require both research and analysis on the part of the writer
• Is the RQ one that is of interest to the researcher and potentially useful to others? Is it a new issue or problem that needs to be solved or is it attempting to shed light on previously researched topic
• Is the RQ researchable? Consider the available time frame and the required resources. Is the methodology to conduct the research feasible?
• Is the RQ measurable and will the process produce data that can be supported or contradicted?
• Is the RQ too broad or too narrow?
• Create Hs: After formulating RQ, think where research is likely to be progressing? What kind of argument is likely to be made/supported? What would it mean if the research disputed the planned argument? At this step, one can well be on the way to have a focus for the research and construction of a thesis. Hs consists of more specific predictions about the nature and direction of the relationship between two variables. It is a predictive statement about the outcome of the research, dictate the method, and design of the research[ 1 ]
• Understand implications of your research: This is important for application: whether one achieves to fill gap in knowledge and how the results of the research have practical implications, for example, to develop health policies or improve educational policies.[ 1 , 8 ]

Brainstorm/Concept map for formulating research question

• First, identify what types of studies have been done in the past?
• Is there a unique area that is yet to be investigated or is there a particular question that may be worth replicating?
• Begin to narrow the topic by asking open-ended “how” and “why” questions
• Evaluate the question
• Develop a Hypothesis (Hs)
• Write down the RQ.

Writing down the research question

• State the question in your own words
• Write down the RQ as completely as possible.

For example, Evaluation of reproductive hormonal profile in children presenting with isolated hypospadias)

• Divide your question into concepts. Narrow to two or three concepts (reproductive hormonal profile, isolated hypospadias, compare with normal/not isolated hypospadias–implied)
• Specify the population to be studied (children with isolated hypospadias)
• Refer to the exposure or intervention to be investigated, if any
• Reflect the outcome of interest (hormonal profile).

Another example of a research question

Would the topical skin application of oil as a skin barrier reduces hypothermia in preterm infants? Apart from fulfilling the criteria of a good RQ, that is, feasible, interesting, novel, ethical, and relevant, it also details about the intervention done (topical skin application of oil), rationale of intervention (as a skin barrier), population to be studied (preterm infants), and outcome (reduces hypothermia).

Other important points to be heeded to while framing research question

• Make reference to a population when a relationship is expected among a certain type of subjects
• RQs and Hs should be made as specific as possible
• Avoid words or terms that do not add to the meaning of RQs and Hs
• Stick to what will be studied, not implications
• Name the variables in the order in which they occur/will be measured
• Avoid the words significant/”prove”
• Avoid using two different terms to refer to the same variable.

Some of the other problems and their possible solutions have been discussed in Table 1 .

Potential problems and solutions while making research question

G OING B EYOND F ORMULATION OF R ESEARCH Q UESTION–THE P ATH A HEAD

Once RQ is formulated, a Hs can be developed. Hs means transformation of a RQ into an operational analog.[ 1 ] It means a statement as to what prediction one makes about the phenomenon to be examined.[ 4 ] More often, for case–control trial, null Hs is generated which is later accepted or refuted.

A strong Hs should have following characteristics:

• Give insight into a RQ
• Are testable and measurable by the proposed experiments
• Have logical basis
• Follows the most likely outcome, not the exceptional outcome.

E XAMPLES OF R ESEARCH Q UESTION AND H YPOTHESIS

Research question-1.

• Does reduced gap between the two segments of the esophagus in patients of esophageal atresia reduces the mortality and morbidity of such patients?

Hypothesis-1

• Reduced gap between the two segments of the esophagus in patients of esophageal atresia reduces the mortality and morbidity of such patients
• In pediatric patients with esophageal atresia, gap of <2 cm between two segments of the esophagus and proper mobilization of proximal pouch reduces the morbidity and mortality among such patients.

Research question-2

• Does application of mitomycin C improves the outcome in patient of corrosive esophageal strictures?

Hypothesis-2

In patients aged 2–9 years with corrosive esophageal strictures, 34 applications of mitomycin C in dosage of 0.4 mg/ml for 5 min over a period of 6 months improve the outcome in terms of symptomatic and radiological relief. Some other examples of good and bad RQs have been shown in Table 2 .

Examples of few bad (left-hand side column) and few good (right-hand side) research questions

R ESEARCH Q UESTION AND S TUDY D ESIGN

RQ determines study design, for example, the question aimed to find the incidence of a disease in population will lead to conducting a survey; to find risk factors for a disease will need case–control study or a cohort study. RQ may also culminate into clinical trial.[ 9 , 10 ] For example, effect of administration of folic acid tablet in the perinatal period in decreasing incidence of neural tube defect. Accordingly, Hs is framed.

Appropriate statistical calculations are instituted to generate sample size. The subject inclusion, exclusion criteria and time frame of research are carefully defined. The detailed subject information sheet and pro forma are carefully defined. Moreover, research is set off few examples of research methodology guided by RQ:

• Incidence of anorectal malformations among adolescent females (hospital-based survey)
• Risk factors for the development of spontaneous pneumoperitoneum in pediatric patients (case–control design and cohort study)
• Effect of technique of extramucosal ureteric reimplantation without the creation of submucosal tunnel for the preservation of upper tract in bladder exstrophy (clinical trial).

The results of the research are then be available for wider applications for health and social life

C ONCLUSION

A good RQ needs thorough literature search and deep insight into the specific area/problem to be investigated. A RQ has to be focused yet simple. Research guided by such question can have wider impact in the field of social and health research by leading to formulation of policies for the benefit of larger population.

Financial support and sponsorship

Conflicts of interest.

There are no conflicts of interest.

R EFERENCES

• How it works

How to Write the Research Questions – Tips & Examples

Published by Owen Ingram at August 13th, 2021 , Revised On October 3, 2023

Conducting research and writing an academic paper requires a clear direction and focus.

A good research question provides purpose to your research and clarifies the direction. It further helps your readers to understand what issue your research aims to explore and address.

If you are unsure about how to write research questions, here is a list of the attributes of a good research question;

• The research question should contain only a single problem
• You should be able to find the answer to it using  primary and secondary data sources
• You should be able to address it within the time limit and other constraints
• Can attain in-depth and detailed results
• Relevant and applicable
• Should relate to your chosen field of research

Whenever you want to discover something new about a  topic , you will ask a question about it. Therefore, the research question is important in the overall research process  and provides the author with the reading and writing guidelines.

In a research paper or an essay, you will need to create a single research question that highlights just one problem or issue. The thesis statement should include the specific problem you aim to investigate to establish your argument’s central position or claim.

A larger project such as a  dissertation or thesis , on the other hand, can have multiple research questions, but every question should focus on your main  research problem .  Different types of research will help you answer different research questions, but they should all be relevant to the research scope.

How to Write a Research Question

Steps to develop your research question.

• Choose a topic  with a wide range of published literature
• Read and skim relevant articles to find out different problems and issues
• Specify a theoretical or practical  research problem  that your research question will address
• Narrow down the focus of your selected core niche

Example Research Question (s)

Here are examples of research problems and research questions to help you understand how to create a research question for a given research problem.

Types of Research Questions

There are two main types of research;  quantitative and qualitative research . Both types of research require research questions. What research question you will answer is dependent on the type of research you wish to employ.

The first part of  designing research  is to find a gap and create a fully focused research question.

The following table shows common research questions for a dissertation project. However, it is important to note that these examples of dissertation research questions are straightforward, and the actual research questions may be more complicated than these examples.

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Steps to Write Research Questions

The research question provides you with a path and focuses on the real problem and the research gap you aim to fill. These are steps you need to take if you are unsure about how to write a research question:

Choose an Interesting Topic

Choose a topic  of research according to your interest. The selected topic should be neither too broad nor too narrow.

Do Preliminary Research on the Topic

Find articles, books, journals, and theses relevant to your chosen topic. Understand what research problem each scholar addressed as part of their research project.

Consider your Audience

It is necessary to know your audience to develop focused research questions for your essay or dissertation. You can find aspects of your topic that could be interesting to your audience when narrowing your topic.

Start Asking Questions

What, why, when, how, and other open-ended questions will provide in-depth knowledge about the topic.

Evaluate your Question

After formulating a research question, evaluate to check its effectiveness and how it can serve the purpose. Revise and refine the dissertation research question.

• Do you have a clear research question? 

It would help if you formed the research question after finding a research gap. This approach will enable the research to solve part of the problem.

• Do you have a focused research question?

It is necessary that the research question is specific and relating to the central aim of your research.

• Do you have a complex research question? 

The research question cannot be answered by yes or no but requires in-depth analysis. It often begins with “How” or “Why.”

Begin your Research

After you have prepared dissertation research questions, you should research the existing literature on similar topics to find various perspectives.

Also See: Formulation of Research Question

If you have been struggling to devise research questions for your dissertation or are unsure about which topic would be suitable for your needs, then you might be interested in taking advantage of our dissertation topic and outline service, which includes several topic ideas in your preferred area of study and a 500/1000 words plan on your chosen topic. Our topic and outline service will help you jump-start your dissertation project.

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Tips on How to Write a Strong Research Question

A research question is the foundation of the entire research. Therefore, you should spend as much time as required to refine the research question.

If you have good research questions for the dissertation, research paper , or essay, you can perform the research and analyse your results more effectively. You can evaluate the strength of the research question with the help of the following criteria. Your research question should be;

Intensive and Researchable

• It should cover a single issue
• The question shouldn’t include a subjective judgment
• It can be answerable with the data analysis or research=

Practical and Specific

• It should not include a course of action, policy, or solution
• It should be well-defined
• Answerable within research limits

Complicated and Arguable

• It should not be simple to answer
• Need in-depth knowledge to find facts
• Provides scope for debate and deliberation

Unique and Relevant

• It should lie in your field of study
• Its results should be contributable
• It should be unique

Conclusion – How to Write Research Questions

A research question provides a clear direction for research work. A bigger project, such as a dissertation, may have more than one research question, but every question should focus on one issue only.

Your research questions should be researchable, feasible to answer, specific to find results, complex (for Masters and PhD projects), and relevant to your field of study. Dissertation research questions depend upon the research type you are basing your paper on.

Start creating a research question by choosing an interesting topic, do some preliminary research, consider your audience, start asking questions, evaluating your question, and begin your research.

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Frequently Asked Questions

How are research questions written.

Research questions are written by:

• Identifying your topic.
• Considering what you want to explore.
• Making questions clear and concise.
• Ensuring they’re researchable.
• Avoiding bias or leading language.
• Focusing on one main idea per question.

What are examples of research questions?

• Does regular exercise improve mental well-being in adults over 50?
• How do online courses impact student engagement compared to traditional classes?
• What are the economic effects of prolonged pandemic lockdowns?
• How does early childhood nutrition influence academic performance in later life?
• Does urban green space reduce stress levels?

How to write a research question?

• Identify a specific topic or issue of interest.
• Conduct preliminary research to understand existing knowledge.
• Narrow the focus to address gaps or unresolved issues.
• Phrase the question to be clear, concise, and researchable.
• Ensure it is specific enough for systematic investigation.

How to formulate my research questions for my geography dissertation?

• Identify a geographical topic or phenomenon of interest.
• Review existing literature to find gaps.
• Consider spatial, temporal, environmental, or societal aspects.
• Ensure questions are specific, feasible, and significant.
• Frame questions to guide methodology: quantitative, qualitative, or mixed.
• Seek feedback from peers/advisors.

You May Also Like

This article is a step-by-step guide to how to write statement of a problem in research. The research problem will be half-solved by defining it correctly.

Make sure that your selected topic is intriguing, manageable, and relevant. Here are some guidelines to help understand how to find a good dissertation topic.

Not sure how to approach a company for your primary research study? Don’t worry. Here we have some tips for you to successfully gather primary study.

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Writing Survey Questions

Perhaps the most important part of the survey process is the creation of questions that accurately measure the opinions, experiences and behaviors of the public. Accurate random sampling will be wasted if the information gathered is built on a shaky foundation of ambiguous or biased questions. Creating good measures involves both writing good questions and organizing them to form the questionnaire.

Questionnaire design is a multistage process that requires attention to many details at once. Designing the questionnaire is complicated because surveys can ask about topics in varying degrees of detail, questions can be asked in different ways, and questions asked earlier in a survey may influence how people respond to later questions. Researchers are also often interested in measuring change over time and therefore must be attentive to how opinions or behaviors have been measured in prior surveys.

Surveyors may conduct pilot tests or focus groups in the early stages of questionnaire development in order to better understand how people think about an issue or comprehend a question. Pretesting a survey is an essential step in the questionnaire design process to evaluate how people respond to the overall questionnaire and specific questions, especially when questions are being introduced for the first time.

For many years, surveyors approached questionnaire design as an art, but substantial research over the past forty years has demonstrated that there is a lot of science involved in crafting a good survey questionnaire. Here, we discuss the pitfalls and best practices of designing questionnaires.

Question development

There are several steps involved in developing a survey questionnaire. The first is identifying what topics will be covered in the survey. For Pew Research Center surveys, this involves thinking about what is happening in our nation and the world and what will be relevant to the public, policymakers and the media. We also track opinion on a variety of issues over time so we often ensure that we update these trends on a regular basis to better understand whether people’s opinions are changing.

At Pew Research Center, questionnaire development is a collaborative and iterative process where staff meet to discuss drafts of the questionnaire several times over the course of its development. We frequently test new survey questions ahead of time through qualitative research methods such as  focus groups , cognitive interviews, pretesting (often using an  online, opt-in sample ), or a combination of these approaches. Researchers use insights from this testing to refine questions before they are asked in a production survey, such as on the ATP.

Measuring change over time

Many surveyors want to track changes over time in people’s attitudes, opinions and behaviors. To measure change, questions are asked at two or more points in time. A cross-sectional design surveys different people in the same population at multiple points in time. A panel, such as the ATP, surveys the same people over time. However, it is common for the set of people in survey panels to change over time as new panelists are added and some prior panelists drop out. Many of the questions in Pew Research Center surveys have been asked in prior polls. Asking the same questions at different points in time allows us to report on changes in the overall views of the general public (or a subset of the public, such as registered voters, men or Black Americans), or what we call “trending the data”.

When measuring change over time, it is important to use the same question wording and to be sensitive to where the question is asked in the questionnaire to maintain a similar context as when the question was asked previously (see  question wording  and  question order  for further information). All of our survey reports include a topline questionnaire that provides the exact question wording and sequencing, along with results from the current survey and previous surveys in which we asked the question.

The Center’s transition from conducting U.S. surveys by live telephone interviewing to an online panel (around 2014 to 2020) complicated some opinion trends, but not others. Opinion trends that ask about sensitive topics (e.g., personal finances or attending religious services ) or that elicited volunteered answers (e.g., “neither” or “don’t know”) over the phone tended to show larger differences than other trends when shifting from phone polls to the online ATP. The Center adopted several strategies for coping with changes to data trends that may be related to this change in methodology. If there is evidence suggesting that a change in a trend stems from switching from phone to online measurement, Center reports flag that possibility for readers to try to head off confusion or erroneous conclusions.

Open- and closed-ended questions

One of the most significant decisions that can affect how people answer questions is whether the question is posed as an open-ended question, where respondents provide a response in their own words, or a closed-ended question, where they are asked to choose from a list of answer choices.

For example, in a poll conducted after the 2008 presidential election, people responded very differently to two versions of the question: “What one issue mattered most to you in deciding how you voted for president?” One was closed-ended and the other open-ended. In the closed-ended version, respondents were provided five options and could volunteer an option not on the list.

When explicitly offered the economy as a response, more than half of respondents (58%) chose this answer; only 35% of those who responded to the open-ended version volunteered the economy. Moreover, among those asked the closed-ended version, fewer than one-in-ten (8%) provided a response other than the five they were read. By contrast, fully 43% of those asked the open-ended version provided a response not listed in the closed-ended version of the question. All of the other issues were chosen at least slightly more often when explicitly offered in the closed-ended version than in the open-ended version. (Also see  “High Marks for the Campaign, a High Bar for Obama”  for more information.)

Researchers will sometimes conduct a pilot study using open-ended questions to discover which answers are most common. They will then develop closed-ended questions based off that pilot study that include the most common responses as answer choices. In this way, the questions may better reflect what the public is thinking, how they view a particular issue, or bring certain issues to light that the researchers may not have been aware of.

When asking closed-ended questions, the choice of options provided, how each option is described, the number of response options offered, and the order in which options are read can all influence how people respond. One example of the impact of how categories are defined can be found in a Pew Research Center poll conducted in January 2002. When half of the sample was asked whether it was “more important for President Bush to focus on domestic policy or foreign policy,” 52% chose domestic policy while only 34% said foreign policy. When the category “foreign policy” was narrowed to a specific aspect – “the war on terrorism” – far more people chose it; only 33% chose domestic policy while 52% chose the war on terrorism.

In most circumstances, the number of answer choices should be kept to a relatively small number – just four or perhaps five at most – especially in telephone surveys. Psychological research indicates that people have a hard time keeping more than this number of choices in mind at one time. When the question is asking about an objective fact and/or demographics, such as the religious affiliation of the respondent, more categories can be used. In fact, they are encouraged to ensure inclusivity. For example, Pew Research Center’s standard religion questions include more than 12 different categories, beginning with the most common affiliations (Protestant and Catholic). Most respondents have no trouble with this question because they can expect to see their religious group within that list in a self-administered survey.

In addition to the number and choice of response options offered, the order of answer categories can influence how people respond to closed-ended questions. Research suggests that in telephone surveys respondents more frequently choose items heard later in a list (a “recency effect”), and in self-administered surveys, they tend to choose items at the top of the list (a “primacy” effect).

Because of concerns about the effects of category order on responses to closed-ended questions, many sets of response options in Pew Research Center’s surveys are programmed to be randomized to ensure that the options are not asked in the same order for each respondent. Rotating or randomizing means that questions or items in a list are not asked in the same order to each respondent. Answers to questions are sometimes affected by questions that precede them. By presenting questions in a different order to each respondent, we ensure that each question gets asked in the same context as every other question the same number of times (e.g., first, last or any position in between). This does not eliminate the potential impact of previous questions on the current question, but it does ensure that this bias is spread randomly across all of the questions or items in the list. For instance, in the example discussed above about what issue mattered most in people’s vote, the order of the five issues in the closed-ended version of the question was randomized so that no one issue appeared early or late in the list for all respondents. Randomization of response items does not eliminate order effects, but it does ensure that this type of bias is spread randomly.

Questions with ordinal response categories – those with an underlying order (e.g., excellent, good, only fair, poor OR very favorable, mostly favorable, mostly unfavorable, very unfavorable) – are generally not randomized because the order of the categories conveys important information to help respondents answer the question. Generally, these types of scales should be presented in order so respondents can easily place their responses along the continuum, but the order can be reversed for some respondents. For example, in one of Pew Research Center’s questions about abortion, half of the sample is asked whether abortion should be “legal in all cases, legal in most cases, illegal in most cases, illegal in all cases,” while the other half of the sample is asked the same question with the response categories read in reverse order, starting with “illegal in all cases.” Again, reversing the order does not eliminate the recency effect but distributes it randomly across the population.

Question wording

The choice of words and phrases in a question is critical in expressing the meaning and intent of the question to the respondent and ensuring that all respondents interpret the question the same way. Even small wording differences can substantially affect the answers people provide.

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An example of a wording difference that had a significant impact on responses comes from a January 2003 Pew Research Center survey. When people were asked whether they would “favor or oppose taking military action in Iraq to end Saddam Hussein’s rule,” 68% said they favored military action while 25% said they opposed military action. However, when asked whether they would “favor or oppose taking military action in Iraq to end Saddam Hussein’s rule  even if it meant that U.S. forces might suffer thousands of casualties, ” responses were dramatically different; only 43% said they favored military action, while 48% said they opposed it. The introduction of U.S. casualties altered the context of the question and influenced whether people favored or opposed military action in Iraq.

There has been a substantial amount of research to gauge the impact of different ways of asking questions and how to minimize differences in the way respondents interpret what is being asked. The issues related to question wording are more numerous than can be treated adequately in this short space, but below are a few of the important things to consider:

First, it is important to ask questions that are clear and specific and that each respondent will be able to answer. If a question is open-ended, it should be evident to respondents that they can answer in their own words and what type of response they should provide (an issue or problem, a month, number of days, etc.). Closed-ended questions should include all reasonable responses (i.e., the list of options is exhaustive) and the response categories should not overlap (i.e., response options should be mutually exclusive). Further, it is important to discern when it is best to use forced-choice close-ended questions (often denoted with a radio button in online surveys) versus “select-all-that-apply” lists (or check-all boxes). A 2019 Center study found that forced-choice questions tend to yield more accurate responses, especially for sensitive questions.  Based on that research, the Center generally avoids using select-all-that-apply questions.

It is also important to ask only one question at a time. Questions that ask respondents to evaluate more than one concept (known as double-barreled questions) – such as “How much confidence do you have in President Obama to handle domestic and foreign policy?” – are difficult for respondents to answer and often lead to responses that are difficult to interpret. In this example, it would be more effective to ask two separate questions, one about domestic policy and another about foreign policy.

In general, questions that use simple and concrete language are more easily understood by respondents. It is especially important to consider the education level of the survey population when thinking about how easy it will be for respondents to interpret and answer a question. Double negatives (e.g., do you favor or oppose  not  allowing gays and lesbians to legally marry) or unfamiliar abbreviations or jargon (e.g., ANWR instead of Arctic National Wildlife Refuge) can result in respondent confusion and should be avoided.

Similarly, it is important to consider whether certain words may be viewed as biased or potentially offensive to some respondents, as well as the emotional reaction that some words may provoke. For example, in a 2005 Pew Research Center survey, 51% of respondents said they favored “making it legal for doctors to give terminally ill patients the means to end their lives,” but only 44% said they favored “making it legal for doctors to assist terminally ill patients in committing suicide.” Although both versions of the question are asking about the same thing, the reaction of respondents was different. In another example, respondents have reacted differently to questions using the word “welfare” as opposed to the more generic “assistance to the poor.” Several experiments have shown that there is much greater public support for expanding “assistance to the poor” than for expanding “welfare.”

We often write two versions of a question and ask half of the survey sample one version of the question and the other half the second version. Thus, we say we have two  forms  of the questionnaire. Respondents are assigned randomly to receive either form, so we can assume that the two groups of respondents are essentially identical. On questions where two versions are used, significant differences in the answers between the two forms tell us that the difference is a result of the way we worded the two versions.

One of the most common formats used in survey questions is the “agree-disagree” format. In this type of question, respondents are asked whether they agree or disagree with a particular statement. Research has shown that, compared with the better educated and better informed, less educated and less informed respondents have a greater tendency to agree with such statements. This is sometimes called an “acquiescence bias” (since some kinds of respondents are more likely to acquiesce to the assertion than are others). This behavior is even more pronounced when there’s an interviewer present, rather than when the survey is self-administered. A better practice is to offer respondents a choice between alternative statements. A Pew Research Center experiment with one of its routinely asked values questions illustrates the difference that question format can make. Not only does the forced choice format yield a very different result overall from the agree-disagree format, but the pattern of answers between respondents with more or less formal education also tends to be very different.

One other challenge in developing questionnaires is what is called “social desirability bias.” People have a natural tendency to want to be accepted and liked, and this may lead people to provide inaccurate answers to questions that deal with sensitive subjects. Research has shown that respondents understate alcohol and drug use, tax evasion and racial bias. They also may overstate church attendance, charitable contributions and the likelihood that they will vote in an election. Researchers attempt to account for this potential bias in crafting questions about these topics. For instance, when Pew Research Center surveys ask about past voting behavior, it is important to note that circumstances may have prevented the respondent from voting: “In the 2012 presidential election between Barack Obama and Mitt Romney, did things come up that kept you from voting, or did you happen to vote?” The choice of response options can also make it easier for people to be honest. For example, a question about church attendance might include three of six response options that indicate infrequent attendance. Research has also shown that social desirability bias can be greater when an interviewer is present (e.g., telephone and face-to-face surveys) than when respondents complete the survey themselves (e.g., paper and web surveys).

Lastly, because slight modifications in question wording can affect responses, identical question wording should be used when the intention is to compare results to those from earlier surveys. Similarly, because question wording and responses can vary based on the mode used to survey respondents, researchers should carefully evaluate the likely effects on trend measurements if a different survey mode will be used to assess change in opinion over time.

Question order

Once the survey questions are developed, particular attention should be paid to how they are ordered in the questionnaire. Surveyors must be attentive to how questions early in a questionnaire may have unintended effects on how respondents answer subsequent questions. Researchers have demonstrated that the order in which questions are asked can influence how people respond; earlier questions can unintentionally provide context for the questions that follow (these effects are called “order effects”).

One kind of order effect can be seen in responses to open-ended questions. Pew Research Center surveys generally ask open-ended questions about national problems, opinions about leaders and similar topics near the beginning of the questionnaire. If closed-ended questions that relate to the topic are placed before the open-ended question, respondents are much more likely to mention concepts or considerations raised in those earlier questions when responding to the open-ended question.

For closed-ended opinion questions, there are two main types of order effects: contrast effects ( where the order results in greater differences in responses), and assimilation effects (where responses are more similar as a result of their order).

An example of a contrast effect can be seen in a Pew Research Center poll conducted in October 2003, a dozen years before same-sex marriage was legalized in the U.S. That poll found that people were more likely to favor allowing gays and lesbians to enter into legal agreements that give them the same rights as married couples when this question was asked after one about whether they favored or opposed allowing gays and lesbians to marry (45% favored legal agreements when asked after the marriage question, but 37% favored legal agreements without the immediate preceding context of a question about same-sex marriage). Responses to the question about same-sex marriage, meanwhile, were not significantly affected by its placement before or after the legal agreements question.

Another experiment embedded in a December 2008 Pew Research Center poll also resulted in a contrast effect. When people were asked “All in all, are you satisfied or dissatisfied with the way things are going in this country today?” immediately after having been asked “Do you approve or disapprove of the way George W. Bush is handling his job as president?”; 88% said they were dissatisfied, compared with only 78% without the context of the prior question.

Responses to presidential approval remained relatively unchanged whether national satisfaction was asked before or after it. A similar finding occurred in December 2004 when both satisfaction and presidential approval were much higher (57% were dissatisfied when Bush approval was asked first vs. 51% when general satisfaction was asked first).

Several studies also have shown that asking a more specific question before a more general question (e.g., asking about happiness with one’s marriage before asking about one’s overall happiness) can result in a contrast effect. Although some exceptions have been found, people tend to avoid redundancy by excluding the more specific question from the general rating.

Assimilation effects occur when responses to two questions are more consistent or closer together because of their placement in the questionnaire. We found an example of an assimilation effect in a Pew Research Center poll conducted in November 2008 when we asked whether Republican leaders should work with Obama or stand up to him on important issues and whether Democratic leaders should work with Republican leaders or stand up to them on important issues. People were more likely to say that Republican leaders should work with Obama when the question was preceded by the one asking what Democratic leaders should do in working with Republican leaders (81% vs. 66%). However, when people were first asked about Republican leaders working with Obama, fewer said that Democratic leaders should work with Republican leaders (71% vs. 82%).

The order questions are asked is of particular importance when tracking trends over time. As a result, care should be taken to ensure that the context is similar each time a question is asked. Modifying the context of the question could call into question any observed changes over time (see  measuring change over time  for more information).

A questionnaire, like a conversation, should be grouped by topic and unfold in a logical order. It is often helpful to begin the survey with simple questions that respondents will find interesting and engaging. Throughout the survey, an effort should be made to keep the survey interesting and not overburden respondents with several difficult questions right after one another. Demographic questions such as income, education or age should not be asked near the beginning of a survey unless they are needed to determine eligibility for the survey or for routing respondents through particular sections of the questionnaire. Even then, it is best to precede such items with more interesting and engaging questions. One virtue of survey panels like the ATP is that demographic questions usually only need to be asked once a year, not in each survey.

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Biology Research Guide

• Source Selection & Evaluation

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Topic selection, topic verification.

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Research questions have a few characteristics.

• They're open-ended . (They can't be answered with a simple yes or no response.)
• They're often measurable through quantitative data or qualitative measures.
• They summarize the issue/topic being researched.
• They may take a fresh look at an issue or try to solve a problem.

In addition, research questions may . . .

• answer how or why questions.
• fit within a cause/effect structure.
• have a pro/con format.
• introduce an argument that is then supported with evidence .

Topic selection is the process you use to choose your topic. This is the more creative side of topic development. There are several steps to this process.

• Brainstorming. Start a list of topics that interest you and are within the guidelines of the assignment. They could be personal, professional, or academic interests. Researching something that interests you is much more enjoyable and will keep you interested in the research process. Write down related words or phrases. These will be useful at the research stage.
• Reshaping the topic. Sometimes you'll choose a topic that's either too narrow or too broad. Find out ways to broaden or narrow the topic so that it's a better size to fit your research assignment. This is where Wikipedia and generic Google searches are okay. You can use those sites to get other ideas of how your topic idea may work. Perform some simple searches to see what information is out there. (Just be sure not to cite Wikipedia or Google.)
• Looking at the body of research. Once you have a topic that you think is a good size, take a look at the body of research that's available for the topic. Check in catalogs and databases. Look at reputable websites. You want to be sure that your topic has an adequate amount of research before you invest too much time into the idea.
• Revising. Throughout this process, be prepared to revise your topic. Don't think that you have to keep the same topic that you started with. Topic revision happens all the time. In fact, we often develop better topics as a result of this revision!

Topic verification is the process you use to confirm your topic is viable for research. This is the more technical side of topic development. There are also several steps to this process.

• Using search strategies. Do some experimental searching in the databases using search strategies . Try different combinations to see what you find. Use your notes from your brainstorming to search for different synonyms or phrases.
• Locating relevant and reliable information. At this stage, you want to see if you can find both a good quality and good quantity of sources. You don't need to read the entirety of the sources right now. Just read their abstracts and identifying information. Confirm that the sources you find support each other. Double-check the authority of the authors. This is the source evaluation stage.
• Verifying information. Once you've confirmed that the sources are reliable and relevant, decide whether or not you can verify the information in the sources. If your sources corrobate each other, you have a good topic. In fact, even if they dispute each other, that is sometimes okay. It just depends on your topic's goal. However, if you cannot verify the reliability of any of your sources' information, then you may need to start over again with a new topic idea.
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Formulating Strong Research Questions: Examples and Writing Tips

Abstract | Introduction | Literature Review | Research question | Materials & Methods | Results | Discussion | Conclusion

In this blog, we will see how to construct and present the research question in your research paper. We will also look at other components that make up the final paragraph of the introduction section of your paper.

1. What is a research question in a research paper?

The research questions are normally the aims and objectives of your work. The research question pinpoints exactly what it is you want to find out in your work. You can have a single research question or multiple research questions in your paper depending on the complexity of your research. Generally, it is a good idea to keep the number of research questions to less than four.

2. Research question examples

Let’s look at some examples of research questions. The research question is normally one of the major components of the final paragraph of the introduction section. We will look at the examples of the entire final paragraph of the introduction along with the research questions to put things into perspective.

2.1. Example #1 (Health sciences research paper)

Here is an example from a health sciences research paper. The passage starts with the research gap. The authors are saying that there is a need for a better understanding of the relationship between social media and mental health. Then, the authors explain the aims of their research and elaborate on what methodology they will be using to achieve their aims. The authors say that they will be using online surveys and face-to-face interviews to collect data to answer their research question. The passage flows very well and the author nicely lays out the research gap, the study aims, and the plan of action.

The effects of social media usage on mental health are poorly documented in the literature as research papers on the topic give contradictory conclusions. The present study aims to improve our understanding of the effects of social media usage on mental health. The data were collected from a variety of age-group over a period of two years in a structured manner. The methods of data collection involved online surveys and face-to-face interviews. _ Research gap  _  Research question _   _  Method summary

2.2. Example #2 (Hypothesis-driven research paper)

Here is a slightly different variant of the previous example. Here, the authors have formulated the research question in the form of a hypothesis. Same as before, the authors are establishing the research gap in the first statement. In the next couple of statements, they are defining a specific hypothesis that they will be testing in the paper. In this case, they are testing the link between social media and mental health. And in the final statement, they are explaining the research methodology they will be employing to either prove or disprove the hypothesis. This is a pretty good example to follow if your research work is hypothesis-driven.

Past research suggests that while social media use is correlated with levels of anxiety and depression, the evidence so far is limited [1-2]. Therefore, building on previous discussion, Hypothesis 1 proposes: The levels of anxiety and depression will be lower among those who use social media platforms less frequently compared to those who use social media more frequently. This hypothesis (H1) is tested in this study through surveys and face-to-face interviews. _  Research gap  _  Research question (Hypothesis)  _  Method summary

2.3. Example #3 (Computer sciences research paper)

Here is an example from a computer sciences research paper. The authors establish the research gap by saying that there aren’t many papers on the topic of stock price prediction. Then, they explain what they are proposing.  They are proposing a new method called the ‘Hybrid prediction model’. Then, they are providing a brief breakdown of their method by explaining how their method functions.  They are saying that in their approach they are combining multiple methods in a structured way to improve the overall prediction accuracy of stock prices.

Only a few papers have addressed the problem of accurately predicting stock prices. In this paper, we propose a method, called the Hybrid Prediction Method that combines a selection of existing methods in a structured way to improve on the results obtained by using any single method alone. This paper is organized as follows: In Section 2, we introduce the Hybrid Analysis. Section 3 presents a number of experiments and results, and these results are discussed in Section 6. Section 7 concludes the paper. _  Research gap  _  Research question  _  Paper outline

Finally, they finish off the section by providing the outline of the paper. Please note, providing the paper outline is optional. It depends on your personal preference and journal requirements.  This passage is a typical format you will see in engineering research papers that propose a new method to solve a particular problem.

2.4. Example #4 (Psychology research paper)

Here is an example from a psychology research paper. In the first line, the authors clearly state the research question, and the methodology they will be using to address it. The authors aim to test the impact of background music on the listener’s ability to remember words. They will be addressing this by performing a series of experiments in which observers will be shown words on the computer screen while playing different types of background music. Then, they are finishing off the section with a very brief summary of the results. This is a good idea because it will provide readers with a rough idea of what to expect from the rest of the paper.

In two experiments, we tested whether the presence of background music had an effect on memory recall. More precisely, we examined whether the type of music, either classical or pop, had an impact on the ability of people to remember a list of words. Observers viewed a list of words on a computer screen and listened to either classical or pop music in the background. The results of this study indicate significant differences between classical and pop music in terms of their effects on memory recall and cognition. _   _  Research questions  _  Methods summary  _  Results summary

3. Frequently Asked Questions

Your research question should align with your research gap and the problem statement. The research question should logically follow the problem statement and research gap you established in the previous sections of your paper. If your research objectives are misaligned with your problem statement and research gap, then reviewers will reject your paper. So make sure they are all tightly aligned with each other.

Look at the first example. We are saying that we are going to study the impact of social media on young people. The research question is too broad. As you can see there is no clear direction, and the study attempts to take on too much.

The research aims to find out the impact of social media on young people. Bad research question (Too broad)

Now, look at the second example. It is much more focused. We are very specific about our research questions.  We are saying that we are attempting to measure the average time spent by teenagers on social media. And, we are also trying to understand the exact nature of their interactions on social media. We will be using an online questionnaire to answer the questions and we will be choosing participants from England and Scotland. This is a good research question, because it clearly defines what you have set out to do and how you plan to achieve it.

The research aims to estimate the average time spent by 18-24 year-olds on social media, and investigate the nature of interactions and conversations they have on social media. We attempt to answer these questions by conducting an online questionnaire survey in England and Scotland. Good research question (Very specific and focussed)

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Research Constructs 101

Constructs, Validity & Reliability – Explained Simply

By: Derek Jansen (MBA) | Expert Reviewed By: Eunice Rautenbach (DTech) | March 2023

Navigating the world of academic research can be overwhelming, especially if you’re new to the field. One of the many pieces of terminology that often trips students up is that of the “ research construct ”. In this post, we’ll explain research constructs, construct validity and reliability in simple terms along with clear examples .

Overview: Research Constructs 101

What is a research construct, examples of research constructs.

• Constructs vs variables

Construct validity and reliability

• Key takeaways

Simply put, a research construct is an abstraction that researchers use to represent a phenomenon that’s not directly measurable – for example, intelligence, motivation or agreeableness. Since constructs are not directly measurable, they have to be inferred from other measurable variables , which are gathered through observation. For example, the construct of intelligence can be inferred based on a combination of measurable indicators such as problem-solving skills and language proficiency.

As a researcher, it’s important for you to define your constructs very clearly and to ensure that they can be feasibly operationalised . In other words, you need need to develop ways to measure these abstract concepts with relevant indicators or proxies that accurately reflect the underlying phenomenon you’re studying. In technical terms, this is called construct validity – we’ll unpack this in more detail a little later.

The best way to get a feel for research constructs is to look at some examples . Some common examples of constructs that you might encounter include:

• Self-esteem : a psychological construct measuring an individual’s overall sense of self-worth and confidence.
• Job satisfaction : a social construct reflecting the degree to which employees feel content with their work environment and overall experience in their workplace.
• Personality traits : extraversion, agreeableness, conscientiousness, neuroticism, and openness are commonly studied constructs used to explain individual differences in behaviour, cognition, and emotion.
• Quality of life : a complex multi-dimensional construct encompassing various aspects of an individual’s well-being such as physical health, emotional stability, social relationships, and economic status.
• Stress levels : an often-used psychological construct assessing the mental or emotional strain experienced by individuals in response to various life events or situations.
• Social support : A construct reflecting the perception of having assistance available from family members, friends, colleagues or other networks.

As you can see, all of the above examples reflect phenomena that cannot be directly measured . This is the defining characteristic of a research construct and is what distinguishes a construct from a variable (we’ll look at that next).

Need a helping hand?

Research construct vs variable

In research, the terms “construct” and “variable” are often used interchangeably, but they’re not the same thing .

A variable refers to a phenomenon that is directly measurable and can take on different values or levels . Examples of variables include age, height, weight, and blood pressure. Notably, these are all directly measurable (using basic equipment or just good old-fashioned logic).

In contrast, a construct refers to an abstract concept , that researchers seek to measure using one or more variables – since it is not directly measurable . Self-esteem, for example, is an abstract concept that cannot be directly measured. Instead, researchers must use self-reported indicators such as feelings of self-worth or pride in oneself to create operational definitions (variables) to measure it.

Another difference between research constructs and variables is their level of abstraction . Constructs tend to be more abstract than variables since they represent broad ideas and concepts , while variables are specific measures within those concepts. If you’d like to learn more about variables, be sure to read this article .

When it comes to creating and/or using research constructs, there are two important concepts you need to understand – construct validity and reliability .

Construct validity refers to the extent to which a research construct accurately measures what it is intended to measure . In other words, are you actually measuring the thing that you want to measure, as opposed to some other thing that just happens to correlate ? For example, if you wanted to measure intelligence using some sort of performance test, you’d need to ask questions that truly reflect the participant’s cognitive abilities and not just their memory recall.

Construct reliability , on the other hand, relates to how consistent the measurement of a construct is over time or across different situations. This focus on consistency serves to ensure that your results are not simply due to random error or inconsistency in data collection. To improve construct reliability, researchers use standardized procedures for collecting data, as well as measures such as test-retest reliability, which involves comparing results from multiple measurements taken at different times. You may have also heard of Cronbach’s alpha , which is a popular statistical test used to assess internal consistency, and in turn, construct reliability.

Both construct validity and reliability play crucial roles in ensuring accurate and meaningful research findings. If the constructs you use in your research are not valid and reliable, your data will be largely meaningless. So, be sure to pay close attention to these when designing your study.

Key Takeaways

We’ve covered a lot of ground in this post. Let’s do a quick recap of the key takeaways:

• A research construct is an abstraction that researchers use to represent a phenomenon that’s not directly observable .
• Examples of research constructs include self-esteem, motivation, and job satisfaction.
• A research construct differs from a research variable in that it is not directly measurable .
• When working with constructs, you must pay close attention to both construct validity and reliability .

Keep these point front of mind while undertaking your research to ensure your data is sound and meaningful. If you need help with your research, consider our 1:1 coaching service , where we hold your hand through the research journey, step by step . 

Psst... there’s more!

This post was based on one of our popular Research Bootcamps . If you're working on a research project, you'll definitely want to check this out ...

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Thanks for simplifying the definition of construct for me

Bravo the explanation is clear and simple.Thank you sir.but I will like you to guide me through my research project.

Great content but would like you to help me with my research work please.

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Being a great leader means recognizing that different circumstances call for different approaches.

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• RK Rebecca Knight is a journalist who writes about all things related to the changing nature of careers and the workplace. Her essays and reported stories have been featured in The Boston Globe, Business Insider, The New York Times, BBC, and The Christian Science Monitor. She was shortlisted as a Reuters Institute Fellow at Oxford University in 2023. Earlier in her career, she spent a decade as an editor and reporter at the Financial Times in New York, London, and Boston.

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An artificial womb could build a bridge to health for premature babies

Surgeon Christoph Haller and his research team from Toronto's Hospital for Sick Children are working on technology that could someday result in an artificial womb to help extremely premature babies. Chloe Ellingson for NPR hide caption

Surgeon Christoph Haller and his research team from Toronto's Hospital for Sick Children are working on technology that could someday result in an artificial womb to help extremely premature babies.

TORONTO — A surgical team scurries around a pregnant female pig lying unconscious on an operating table. They're about to take part in an experiment that could help provide a new option to help premature babies survive.

"The ultimate goal of today is to transition a fetus onto that artificial womb," says Dr. Christoph Haller , motioning to a clear rectangular plastic sack with tubes running in and out of it.

"We're transitioning it into an artificial environment that allows the fetus to still maintain its regular physiology," says Haller, a pediatric heart surgeon at The Hospital for Sick Children.

Today, it's a pig fetus that Haller and his colleagues will be using to test their artificial womb. But their hope is that someday, technology like this will help humans survive extremely premature birth and avoid serious complications, such as blindness and permanent damage to lungs and brains.

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"We're basically trying to find a new concept on how to preserve fetuses to allow them to mature more physiologically compared to the regular preterm. That would be the target — to treat extreme premature babies," says Haller, who's also an assistant professor of surgery at the University of Toronto. "This would hopefully be a big deal — a game changer."

NPR was granted exclusive access to watch Haller's team test their artificial womb.

Research like this is generating enormous excitement among doctors who treat babies who are born prematurely , a major cause of infant mortality and disabilities. But the prospect of an artificial womb is prompting a long list of questions.

"I think it's a really promising and fascinating technology," says Dr. Mark Mercurio , a professor of pediatrics who directs the program for biomedical ethics at the Yale School of Medicine. "But certainly it raises ethical concerns and questions that need to be addressed."

The procedure remains highly experimental

A metal tray next to the pig's belly is covered with blue paper. Haller's team just drew a picture of a pig's face on the paper surrounded by the words "Oink. Oink. Oink." and "We ❤ you." Then they laid out the artificial womb on top of it. Some call this kind of contraption a "biobag."

A technician scans the belly of a pregnant pig before an operation to transfer a fetus to an artificial womb. Chloe Ellingson for NPR hide caption

A technician scans the belly of a pregnant pig before an operation to transfer a fetus to an artificial womb.

Next, the surgical team arranges equipment and examines the 10 fetuses in the sow's womb with an ultrasound. Haller uses a clipper to make some last-minute adjustments to tubing he'll stitch into the fetal pig's umbilical cord.

The tubes will supply the fetus's blood with oxygen, remove carbon dioxide from the blood and supply nutrition and medicine.

"I'm MacGyvering stuff here to make things work," he says with a laugh.

Finally, everyone's ready to remove one of the fetuses.

"All right, I think we're going to get started," Haller says, prompting the team to gather tightly around the pig.

Wisps of smoke rise from the pig's belly as Haller makes an incision with an electric scalpel. An assistant suctions the area to keep it dry.

Dr. Christoph Haller performs surgery to remove a fetal pig from the adult pig's womb. Chloe Ellingson for NPR hide caption

Dr. Christoph Haller performs surgery to remove a fetal pig from the adult pig's womb.

"So what you're looking at is basically the uterus. And then in here is the fetus. The head's somewhere here, where I have my hand. The rest of the body is still inside," he says.

After deciding which fetus looks best on the ultrasound, Haller makes another incision in the uterus and pulls out a bright pink fetal piglet. The fetus looks peaceful, like it's sleeping.

Once the fetus is completely out, Haller and his team quickly assess its health and cut the umbilical cord so they can transfer the animal into the artificial womb.

A "biobag" becomes the new womb

After gingerly sliding the fetus into the "biobag," Haller quickly attaches the three umbilical cord tubes. His colleagues fill the bag with a clear, warm liquid meant to mimic amniotic fluid and seal the artificial womb.

"It's going to be a bit of a rocky period now," Haller says.

A fetal pig rests inside an artificial womb. Chloe Ellingson for NPR hide caption

A fetal pig rests inside an artificial womb.

The team carefully monitors the fetus's heart rate, blood pressure and other vital signs. Once it looks stable, the researchers surround the biobag with warmers.

"It's as close to a good transition as you can get I think," Haller says. "I'm excited as if it was a proper human surgery I would say — just because I want to get it right and I want to see the fetus doing well there."

This will go on for hours.

"You may see the fetus starting to have breathing-like movements. But that's what's in line with what's happening in utero too — as if they are training basically a bit. You may see that it kicks its legs," Haller says. "That's what we like to see because it signals a certain level of health."

An artificial womb could be a bridge to better health

If very premature babies can be safely sustained on a device like this for just two or three weeks, it could make all the difference between life and death or a life with severe disabilities and health problems or not, Haller says.

The Toronto group has seen blood clots and heart problems develop. So far, they've only been able to sustain a pig fetus for about a week.

But researchers at Children's Hospital of Philadelphia have safely sustained fetal sheep on a very similar device for four weeks, making the Toronto group and others optimistic the approach will eventually work.

"If this artificial womb technology could sustain a patient even for a period of weeks and get them to a later stage and a bigger size, that could potentially be quite a dramatic change in our field," says Dr. Mike Seed , an associate professor of pediatrics at the University of Toronto who is working with Haller.

Scientific progress prompts ethical concerns

But the possibility of an artificial womb is also raising many questions. When might it be safe to try an artificial womb for a human? Which preterm babies would be the right candidates? What should they be called? Fetuses? Babies?

"It matters in terms of how we assign moral status to individuals," says Mercurio, the Yale bioethicist. "How much their interests — how much their welfare — should count. And what one can and cannot do for them or to them."

But Mercurio is optimistic those issues can be resolved, and the potential promise of the technology clearly warrants pursuing it.

The Food and Drug Administration held a workshop in September 2023 to discuss the latest scientific efforts to create an artificial womb, the ethical issues the technology raises, and what questions would have to be answered before allowing an artificial womb to be tested for humans.

"I am absolutely pro the technology because I think it has great potential to save babies," says Vardit Ravitsky , president and CEO of The Hastings Center, a bioethics think tank.

But there are particular issues raised by the current political and legal environment.

"My concern is that pregnant people will be forced to allow fetuses to be taken out of their bodies and put into an artificial womb rather than being allowed to terminate their pregnancies — basically, a new way of taking away abortion rights," Ravitsky says.

She also wonders: What if it becomes possible to use artificial wombs to gestate fetuses for an entire pregnancy, making natural pregnancy unnecessary?

"Science fiction writers have been playing with this notion for decades. It's not like we never thought about it. It's just different to think about it as a thought experiment and to think about it as something that's potentially around the corner," Ravitsky says. "The scenario of a complete use of artificial wombs could become pretty scary, pretty quickly."

But Haller and his colleagues say the darkest worries are unfounded.

Shots - Health News

The u.s. has a high rate of preterm births, and abortion bans could make that worse.

"We've heard people fearing that this translates into women not having to go through a full pregnancy anymore — kind of more like a Matrix -style of dystopian future," Haller says.

"But it would be outrageous to assume that any artificial intervention in any way is better than nature. So if you're not running into problems in your pregnancy, I think there's a lot of evidence that you're better off being born as you should be from what nature intended," he says.

Haller and his colleagues, he says, are just trying to save babies.

"Every tool can be misused," he says. "Like AI — it has its benefits, but if it's not regulated adequately a lot of harm can arise from something like that as well."

Meanwhile, the fetal pig is settling into its new artificial womb.

"I think it looks pretty, pretty comfy and settled," Haller says. "It looks pretty, pretty happy in there. Yeah, it's good."

• premature mortality
• premature birth
• medical technology