should a research topic be a question

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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.

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Writing Studio

Formulating your research question (rq).

In an effort to make our handouts more accessible, we have begun converting our PDF handouts to web pages. Download this page as a PDF: Formulating Your Research Question Return to Writing Studio Handouts

In a research paper, the emphasis is on generating a unique question and then synthesizing diverse sources into a coherent essay that supports your argument about the topic. In other words, you integrate information from publications with your own thoughts in order to formulate an argument. Your topic is your starting place: from here, you will develop an engaging research question. Merely presenting a topic in the form of a question does not transform it into a good research question.

Research Topic Versus Research Question Examples

1. broad topic versus narrow question, 1a. broad topic.

“What forces affect race relations in America?”

1b. NARROWER QUESTION

“How do corporate hiring practices affect race relations in Nashville?”

The question “What is the percentage of racial minorities holding management positions in corporate offices in Nashville?” is much too specific and would yield, at best, a statistic that could become part of a larger argument.

2. Neutral Topic Versus Argumentative Question

2a. neutral topic.

“How does KFC market its low-fat food offerings?”

2b. Argumentative question

“Does KFC put more money into marketing its high-fat food offerings than its lower-fat ones?”

The latter question is somewhat better, since it may lead you to take a stance or formulate an argument about consumer awareness or benefit.

3. Objective Topic Versus Subjective Question

Objective subjects are factual and do not have sides to be argued. Subjective subjects are those about which you can take a side.

3a. Objective topic

“How much time do youth between the ages of 10 and 15 spend playing video games?”

3b. Subjective Question

“What are the effects of video-gaming on the attention spans of youth between the ages of 10 and 15?”

The first question is likely to lead to some data, though not necessarily to an argument or issue. The second question is somewhat better, since it might lead you to formulate an argument for or against time spent playing video games.

4. Open-Ended Topic Versus Direct Question

4a. open-ended topic.

“Does the author of this text use allusion?”

4b. Direct question (gives direction to research)

“Does the ironic use of allusion in this text reveal anything about the author’s unwillingness to divulge his political commitments?”

The second question gives focus by putting the use of allusion into the specific context of a question about the author’s political commitments and perhaps also about the circumstances under which the text was produced.

Research Question (RQ) Checklist

• Is my RQ something that I am curious about and that others might care about? Does it present an issue on which I can take a stand?
• Does my RQ put a new spin on an old issue, or does it try to solve a problem?
• Is my RQ too broad, too narrow, or OK?
• within the time frame of the assignment?
• given the resources available at my location?
• Is my RQ measurable? What type of information do I need? Can I find actual data to support or contradict a position?
• What sources will have the type of information that I need to answer my RQ (journals, books, internet resources, government documents, interviews with people)?

Final Thoughts

The answer to a good research question will often be the THESIS of your research paper! And the results of your research may not always be what you expected them to be. Not only is this ok, it can be an indication that you are doing careful work!

Adapted from an online tutorial at Empire State College: http://www.esc.edu/htmlpages/writerold/menus.htm#develop (broken link)

Last revised: November 2022 | Adapted for web delivery: November 2022

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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.

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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. 

Educational resources and simple solutions for your research journey

How to Craft a Strong Research Question (With Research Question Examples)

A sound and effective research question is a key element that must be identified and pinned down before researchers can even begin their research study or work. A strong research question lays the foundation for your entire study, guiding your investigation and shaping your findings. Hence, it is critical that researchers spend considerable time assessing and refining the research question based on in-depth reading and comprehensive literature review. In this article, we will discuss how to write a strong research question and provide you with some good examples of research questions across various disciplines.

Table of Contents

The importance of a research question

A research question plays a crucial role in driving scientific inquiry, setting the direction and purpose of your study, and guiding your entire research process. By formulating a clear and focused research question, you lay the foundation for your investigation, ensuring that your research remains on track and aligned with your objectives so you can make meaningful contribution to the existing body of knowledge. A well-crafted research question also helps you define the scope of your study and identify the appropriate methodologies and data collection techniques to employ.

Key components of a strong research question

A good research question possesses several key components that contribute to the quality and impact of your study. Apart from providing a clear framework to generate meaningful results, a well-defined research question allows other researchers to understand the purpose and significance of your work. So, when working on your research question, incorporate the following elements:

• Specificity : A strong research question should be specific about the main focus of your study, enabling you to gather precise data and draw accurate conclusions. It clearly defines the variables, participants, and context involved, leaving no room for ambiguity.
• Clarity : A good research question is clear and easily understood, so articulate the purpose and intent of your study concisely without being generic or vague. Ensuring clarity in your research question helps both you and your readers grasp the research objective.
• Feasibility : While crafting a research question, consider the practicality of conducting the research and availability of necessary data or access to participants. Think whether your study is realistic and achievable within the constraints of time, resources, and ethical considerations.

How to craft a well-defined research question

A first step that will help save time and effort is knowing what your aims are and thinking about a few problem statements on the area or aspect one wants to study or do research on. Contemplating these statements as one undertakes more progressive reading can help the researcher in reassessing and fine-tuning the research question. This can be done over time as they read and learn more about the research topic, along with a broad literature review and parallel discussions with peer researchers and supervisors. In some cases, a researcher can have more than one research question if the research being undertaken is a PhD thesis or dissertation, but try not to cover multiple concerns on a topic.

A strong research question must be researchable, original, complex, and relevant. Here are five simple steps that can make the entire process easier.

• Identify a broad topic from your areas of interest, something that is relevant, and you are passionate about since you’ll be spending a lot of time conducting your research.
• Do a thorough literature review to weed out potential gaps in research and stay updated on what’s currently being done in your chosen topic and subject area.
• Shortlist possible research questions based on the research gaps or see how you can build on or refute previously published ideas and concepts.
• Assess your chosen research question using the FINER criteria that helps you evaluate whether the research is Feasible, Interesting, Novel, Ethical, and Relevant. 1
• Formulate the final research question, while ensuring it is clear, well-written, and addresses all the key elements of a strong research question.

Examples of research questions

Remember to adapt your research question to suit your purpose, whether it’s exploratory, descriptive, comparative, experimental, qualitative, or quantitative. Embrace the iterative nature of the research process, continually evaluating and refining your question as you progress. Here are some good examples of research questions across various disciplines.

Exploratory research question examples

• How does social media impact interpersonal relationships among teenagers?
• What are the potential benefits of incorporating mindfulness practices in the workplace?

Descriptive research question examples

• What factors influence customer loyalty in the e-commerce industry?
• Is there a relationship between socioeconomic status and academic performance among elementary school students?

Comparative research question examples

• How does the effectiveness of traditional teaching methods compare to online learning platforms in mathematics education?
• What is the impact of different healthcare policies on patient outcomes in various countries?

Experimental research question examples

• What are the effects of a new drug on reducing symptoms of a specific medical condition?
• Does a dietary intervention have an impact on weight loss among individuals with obesity?

Qualitative research question examples

• What are the lived experiences of immigrants adapting to a new culture?
• What factors influence job satisfaction among healthcare professionals?

Quantitative research question examples

• Is there a relationship between sleep duration and academic performance among college students?
• How effective is a specific intervention in reducing anxiety levels among individuals with phobias?

With these simple guidelines and inspiring examples of research questions, you are equipped to embark on your research journey with confidence and purpose. Here’s wishing you all the best for your future endeavors!

References:

• How to write a research question: Steps and examples. Indeed Career Guide. Available online at https://www.indeed.com/career-advice/career-development/how-to-write-research-questions

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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 .

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• 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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Research Question Examples 🧑🏻‍🏫

25+ Practical Examples & Ideas To Help You Get Started 

By: Derek Jansen (MBA) | October 2023

A well-crafted research question (or set of questions) sets the stage for a robust study and meaningful insights.  But, if you’re new to research, it’s not always clear what exactly constitutes a good research question. In this post, we’ll provide you with clear examples of quality research questions across various disciplines, so that you can approach your research project with confidence!

Research Question Examples

• Psychology research questions
• Business research questions
• Education research questions
• Healthcare research questions
• Computer science research questions

Examples: Psychology

Let’s start by looking at some examples of research questions that you might encounter within the discipline of psychology.

How does sleep quality affect academic performance in university students?

This question is specific to a population (university students) and looks at a direct relationship between sleep and academic performance, both of which are quantifiable and measurable variables.

What factors contribute to the onset of anxiety disorders in adolescents?

The question narrows down the age group and focuses on identifying multiple contributing factors. There are various ways in which it could be approached from a methodological standpoint, including both qualitatively and quantitatively.

Do mindfulness techniques improve emotional well-being?

This is a focused research question aiming to evaluate the effectiveness of a specific intervention.

How does early childhood trauma impact adult relationships?

This research question targets a clear cause-and-effect relationship over a long timescale, making it focused but comprehensive.

Is there a correlation between screen time and depression in teenagers?

This research question focuses on an in-demand current issue and a specific demographic, allowing for a focused investigation. The key variables are clearly stated within the question and can be measured and analysed (i.e., high feasibility).

Examples: Business/Management

Next, let’s look at some examples of well-articulated research questions within the business and management realm.

How do leadership styles impact employee retention?

This is an example of a strong research question because it directly looks at the effect of one variable (leadership styles) on another (employee retention), allowing from a strongly aligned methodological approach.

What role does corporate social responsibility play in consumer choice?

Current and precise, this research question can reveal how social concerns are influencing buying behaviour by way of a qualitative exploration.

Does remote work increase or decrease productivity in tech companies?

Focused on a particular industry and a hot topic, this research question could yield timely, actionable insights that would have high practical value in the real world.

How do economic downturns affect small businesses in the homebuilding industry?

Vital for policy-making, this highly specific research question aims to uncover the challenges faced by small businesses within a certain industry.

Which employee benefits have the greatest impact on job satisfaction?

By being straightforward and specific, answering this research question could provide tangible insights to employers.

Examples: Education

Next, let’s look at some potential research questions within the education, training and development domain.

How does class size affect students’ academic performance in primary schools?

This example research question targets two clearly defined variables, which can be measured and analysed relatively easily.

Do online courses result in better retention of material than traditional courses?

Timely, specific and focused, answering this research question can help inform educational policy and personal choices about learning formats.

What impact do US public school lunches have on student health?

Targeting a specific, well-defined context, the research could lead to direct changes in public health policies.

To what degree does parental involvement improve academic outcomes in secondary education in the Midwest?

This research question focuses on a specific context (secondary education in the Midwest) and has clearly defined constructs.

What are the negative effects of standardised tests on student learning within Oklahoma primary schools?

This research question has a clear focus (negative outcomes) and is narrowed into a very specific context.

Need a helping hand?

Examples: Healthcare

Shifting to a different field, let’s look at some examples of research questions within the healthcare space.

What are the most effective treatments for chronic back pain amongst UK senior males?

Specific and solution-oriented, this research question focuses on clear variables and a well-defined context (senior males within the UK).

How do different healthcare policies affect patient satisfaction in public hospitals in South Africa?

This question is has clearly defined variables and is narrowly focused in terms of context.

Which factors contribute to obesity rates in urban areas within California?

This question is focused yet broad, aiming to reveal several contributing factors for targeted interventions.

Does telemedicine provide the same perceived quality of care as in-person visits for diabetes patients?

Ideal for a qualitative study, this research question explores a single construct (perceived quality of care) within a well-defined sample (diabetes patients).

Which lifestyle factors have the greatest affect on the risk of heart disease?

This research question aims to uncover modifiable factors, offering preventive health recommendations.

Examples: Computer Science

Last but certainly not least, let’s look at a few examples of research questions within the computer science world.

What are the perceived risks of cloud-based storage systems?

Highly relevant in our digital age, this research question would align well with a qualitative interview approach to better understand what users feel the key risks of cloud storage are.

Which factors affect the energy efficiency of data centres in Ohio?

With a clear focus, this research question lays a firm foundation for a quantitative study.

How do TikTok algorithms impact user behaviour amongst new graduates?

While this research question is more open-ended, it could form the basis for a qualitative investigation.

What are the perceived risk and benefits of open-source software software within the web design industry?

Practical and straightforward, the results could guide both developers and end-users in their choices.

Remember, these are just examples…

In this post, we’ve tried to provide a wide range of research question examples to help you get a feel for what research questions look like in practice. That said, it’s important to remember that these are just examples and don’t necessarily equate to good research topics . If you’re still trying to find a topic, check out our topic megalist for inspiration.

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Examples of Good and Bad Research Questions

#scribendiinc

Written by  Scribendi

So, you've got a research grant in your sights or you've been admitted to your school of choice, and you now have to write up a proposal for the work you want to perform. You know your topic, have done some reading, and you've got a nice quiet place where nobody will bother you while you try to decide where you'll go from here. The question looms:     

What Is a Research Question?

Your research question will be your focus, the sentence you refer to when you need to remember why you're researching. It will encapsulate what drives you and be something your field needs an answer for but doesn't have yet. 

Whether it seeks to describe a phenomenon, compare things, or show how one variable influences another, a research question always does the same thing: it guides research that will be judged based on how well it addresses the question.

So, what makes a research question good or bad? This article will provide examples of good and bad research questions and use them to illustrate both of their common characteristics so that you can evaluate your research question and improve it to suit your needs.

How to Choose a Research Question

At the start of your research paper, you might be wondering, "What is a good research question?"

A good research question focuses on one researchable problem relevant to your subject area.

To write a research paper , first make sure you have a strong, relevant topic. Then, conduct some preliminary research around that topic. It's important to complete these two initial steps because your research question will be formulated based on this research.

With this in mind, let's review the steps that help us write good research questions.

1. Select a Relevant Topic

When selecting a topic to form a good research question, it helps to start broad. What topics interest you most? It helps when you care about the topic you're researching!

Have you seen a movie recently that you enjoyed? How about a news story? If you can't think of anything, research different topics on Google to see which ones intrigue you the most and can apply to your assignment.

Also, before settling on a research topic, make sure it's relevant to your subject area or to society as a whole. This is an important aspect of developing your research question, because, in general, your research should add value to existing knowledge .

2. Thoroughly Research the Topic

Now that you've chosen a broad but relevant topic for your paper, research it thoroughly to see which avenues you might want to explore further.

For example, let's say you decide on the broad topic of search engines. During this research phase, try skimming through sources that are unbiased, current, and relevant, such as academic journals or sources in your university library.

Check out: 21 Legit Research Databases for Free Articles in 2022

Pay close attention to the subtopics that come up during research, such as the following: Which search engines are the most commonly used? Why do some search engines dominate specific regions? How do they really work or affect the research of scientists and scholars?

Be on the lookout for any gaps or limitations in the research. Identifying the groups or demographics that are most affected by your topic is also helpful, in case that's relevant to your work.

3. Narrow Your Topic to a Single Point

Now that you've spent some time researching your broad topic, it's time to narrow it down to one specific subject. A topic like search engines is much too broad to develop a research paper around. What specifically about search engines could you explore?

When refining your topic, be careful not to be either too narrow or too broad. You can ask yourself the following questions during this phase:

Can I cover this topic within the scope of my paper, or would it require longer, heavier research? (In this case, you'd need to be more specific.)

Conversely, is there not enough research about my topic to write a paper? (In this case, you'd need to be broader.)

Keep these things in mind as you narrow down your topic. You can always expand your topic later if you have the time and research materials.

4. Identify a Problem Related to Your Topic

When narrowing down your topic, it helps to identify a single issue or problem on which to base your research. Ask open-ended questions, such as why is this topic important to you or others? Essentially, have you identified the answer to "so what"?

For example, after asking these questions about our search engine topic, we might focus only on the issue of how search engines affect research in a specific field. Or, more specifically, how search engine algorithms manipulate search results and prevent us from finding the critical research we need.

Asking these "so what" questions will help us brainstorm examples of research questions we can ask in our field of study.

5. Turn Your Problem into a Question

Now that you have your main issue or problem, it's time to write your research question. Do this by reviewing your topic's big problem and formulating a question that your research will answer.

For example, ask, "so what?" about your search engine topic. You might realize that the bigger issue is that you, as a researcher, aren't getting the relevant information you need from search engines.

How can we use this information to develop a research question? We might phrase the research question as follows:

"What effect does the Google search engine algorithm have on online research conducted in the field of neuroscience?"

Note how specific we were with the type of search engine, the field of study, and the research method. It's also important to remember that your research question should not have an easy yes or no answer. It should be a question with a complex answer that can be discovered through research and analysis.

Perfect Your Paper

Hire an expert academic editor , or get a free sample, how to find good research topics for your research.

It can be fun to browse a myriad of research topics for your paper, but there are a few important things to keep in mind.

First, make sure you've understood your assignment. You don't want to pick a topic that's not relevant to the assignment goal. Your instructor can offer good topic suggestions as well, so if you get stuck, ask them!

Next, try to search for a broad topic that interests you. Starting broad gives you more options to work with. Some research topic examples include infectious diseases, European history, and smartphones .

Then, after some research, narrow your topic to something specific by extracting a single element from that subject. This could be a current issue on that topic, a major question circulating around that topic, or a specific region or group of people affected by that topic.

It's important that your research topic is focused. Focus lets you clearly demonstrate your understanding of the topic with enough details and examples to fit the scope of your project.

For example, if Jane Austen is your research topic, that might be too broad for a five-page paper! However, you could narrow it down to a single book by Austen or a specific perspective.

To keep your research topic focused, try creating a mind map. This is where you put your broad topic in a circle and create a few circles around it with similar ideas that you uncovered during your research. 

Mind maps can help you visualize the connections between topics and subtopics. This could help you simplify the process of eliminating broad or uninteresting topics or help you identify new relationships between topics that you didn't previously notice. 

Keeping your research topic focused will help you when it comes to writing your research question!

2. Researchable

A researchable question should have enough available sources to fill the scope of your project without being overwhelming. If you find that the research is never-ending, you're going to be very disappointed at the end of your paper—because you won't be able to fit everything in! If you are in this fix, your research question is still too broad.

Search for your research topic's keywords in trusted sources such as journals, research databases , or dissertations in your university library. Then, assess whether the research you're finding is feasible and realistic to use.

If there's too much material out there, narrow down your topic by industry, region, or demographic. Conversely, if you don't find enough research on your topic, you'll need to go broader. Try choosing two works by two different authors instead of one, or try choosing three poems by a single author instead of one.

3. Reasonable

Make sure that the topic for your research question is a reasonable one to pursue. This means it's something that can be completed within your timeframe and offers a new perspective on the research.

Research topics often end up being summaries of a topic, but that's not the goal. You're looking for a way to add something relevant and new to the topic you're exploring. To do so, here are two ways to uncover strong, reasonable research topics as you conduct your preliminary research:

Check the ends of journal articles for sections with questions for further discussion. These make great research topics because they haven't been explored!

Check the sources of articles in your research. What points are they bringing up? Is there anything new worth exploring? Sometimes, you can use sources to expand your research and more effectively narrow your topic.

4. Specific

For your research topic to stand on its own, it should be specific. This means that it shouldn't be easily mistaken for another topic that's already been written about.

If you are writing about a topic that has been written about, such as consumer trust, it should be distinct from everything that's been written about consumer trust so far.

There is already a lot of research done on consumer trust in specific products or services in the US. Your research topic could focus on consumer trust in products and services in a different region, such as a developing country.

If your research feels similar to existing articles, make sure to drive home the differences.

Whether it's developed for a thesis or another assignment, a good research topic question should be complex enough to let you expand on it within the scope of your paper.

For example, let's say you took our advice on researching a topic you were interested in, and that topic was a new Bridezilla reality show. But when you began to research it, you couldn't find enough information on it, or worse, you couldn't find anything scholarly.

In short, Bridezilla reality shows aren't complex enough to build your paper on. Instead of broadening the topic to all reality TV shows, which might be too overwhelming, you might consider choosing a topic about wedding reality TV shows specifically.

This would open you up to more research that could be complex enough to write a paper on without being too overwhelming or narrow.

6. Relevant

Because research papers aim to contribute to existing research that's already been explored, the relevance of your topic within your subject area can't be understated.

Your research topic should be relevant enough to advance understanding in a specific area of study and build on what's already been researched. It shouldn't duplicate research or try to add to it in an irrelevant way.

For example, you wouldn't choose a research topic like malaria transmission in Northern Siberia if the mosquito that transmits malaria lives in Africa. This research topic simply isn't relevant to the typical location where malaria is transmitted, and the research could be considered a waste of resources.

Do Research Questions Differ between the Humanities, Social Sciences, and Hard Sciences?

The art and science of asking questions is the source of all knowledge. 

–Thomas Berger

First, a bit of clarification: While there are constants among research questions, no matter what you're writing about, you will use different standards for the humanities and social sciences than for hard sciences, such as chemistry. The former depends on subjectivity and the perspective of the researcher, while the latter requires answers that must be empirically tested and replicable.

For instance, if you research Charles Dickens' writing influences, you will have to explain your stance and observations to the reader before supporting them with evidence. If you research improvements in superconductivity in room-temperature material, the reader will not only need to understand and believe you but also duplicate your work to confirm that you are correct.

Do Research Questions Differ between the Different Types of Research?

Research questions help you clarify the path your research will take. They are answered in your research paper and usually stated in the introduction.

There are two main types of research—qualitative and quantitative. 

If you're conducting quantitative research, it means you're collecting numerical, quantifiable data that can be measured, such as statistical information.

Qualitative research aims to understand experiences or phenomena, so you're collecting and analyzing non-numerical data, such as case studies or surveys.

The structure and content of your research question will change depending on the type of research you're doing. However, the definition and goal of a research question remains the same: a specific, relevant, and focused inquiry that your research answers.

Below, we'll explore research question examples for different types of research.

Comparative Research

Comparative research questions are designed to determine whether two or more groups differ based on a dependent variable. These questions allow researchers to uncover similarities and differences between the groups tested.

Because they compare two groups with a dependent variable, comparative research questions usually start with "What is the difference in…"

A strong comparative research question example might be the following:

"What is the difference in the daily caloric intake of American men and women?" ( Source .)

In the above example, the dependent variable is daily caloric intake and the two groups are American men and women.

A poor comparative research example might not aim to explore the differences between two groups or it could be too easily answered, as in the following example:

"Does daily caloric intake affect American men and women?"

Always ensure that your comparative research question is focused on a comparison between two groups based on a dependent variable.

Descriptive Research

Descriptive research questions help you gather data about measurable variables. Typically, researchers asking descriptive research questions aim to explain how, why, or what.

These research questions tend to start with the following:

What percentage?

How likely?

What proportion?

For example, a good descriptive research question might be as follows:

"What percentage of college students have felt depressed in the last year?" ( Source .)

A poor descriptive research question wouldn't be as precise. This might be something similar to the following:

"What percentage of teenagers felt sad in the last year?"

The above question is too vague, and the data would be overwhelming, given the number of teenagers in the world. Keep in mind that specificity is key when it comes to research questions!

Correlational Research

Correlational research measures the statistical relationship between two variables, with no influence from any other variable. The idea is to observe the way these variables interact with one another. If one changes, how is the other affected?

When it comes to writing a correlational research question, remember that it's all about relationships. Your research would encompass the relational effects of one variable on the other.

For example, having an education (variable one) might positively or negatively correlate with the rate of crime (variable two) in a specific city. An example research question for this might be written as follows:

"Is there a significant negative correlation between education level and crime rate in Los Angeles?"

A bad correlational research question might not use relationships at all. In fact, correlational research questions are often confused with causal research questions, which imply cause and effect. For example:

"How does the education level in Los Angeles influence the crime rate?"

The above question wouldn't be a good correlational research question because the relationship between Los Angeles and the crime rate is already inherent in the question—we are already assuming the education level in Los Angeles affects the crime rate in some way.

Be sure to use the right format if you're writing a correlational research question.

How to Avoid a Bad Question

Ask the right questions, and the answers will always reveal themselves. 

–Oprah Winfrey

If finding the right research question was easy, doing research would be much simpler. However, research does not provide useful information if the questions have easy answers (because the questions are too simple, narrow, or general) or answers that cannot be reached at all (because the questions have no possible answer, are too costly to answer, or are too broad in scope).

For a research question to meet scientific standards, its answer cannot consist solely of opinion (even if the opinion is popular or logically reasoned) and cannot simply be a description of known information.

However, an analysis of what currently exists can be valuable, provided that there is enough information to produce a useful analysis. If a scientific research question offers results that cannot be tested, measured, or duplicated, it is ineffective.

Bad Research Question Examples

Here are examples of bad research questions with brief explanations of what makes them ineffective for the purpose of research.

"What's red and bad for your teeth?"

This question has an easy, definitive answer (a brick), is too vague (What shade of red? How bad?), and isn't productive.

"Do violent video games cause players to act violently?"

This question also requires a definitive answer (yes or no), does not invite critical analysis, and allows opinion to influence or provide the answer.

"How many people were playing balalaikas while living in Moscow on July 8, 2019?"

This question cannot be answered without expending excessive amounts of time, money, and resources. It is also far too specific. Finally, it doesn't seek new insight or information, only a number that has no conceivable purpose.

How to Write a Research Question

The quality of a question is not judged by its complexity but by the complexity of thinking it provokes. 

–Joseph O'Connor

What makes a good research question? A good research question topic is clear and focused. If the reader has to waste time wondering what you mean, you haven't phrased it effectively.

It also needs to be interesting and relevant, encouraging the reader to come along with you as you explain how you reached an answer. 

Finally, once you explain your answer, there should be room for astute or interested readers to use your question as a basis to conduct their own research. If there is nothing for you to say in your conclusion beyond "that's the truth," then you're setting up your research to be challenged.

Good Research Question Examples

Here are some examples of good research questions. Take a look at the reasoning behind their effectiveness.

"What are the long-term effects of using activated charcoal in place of generic toothpaste for routine dental care?"

This question is specific enough to prevent digressions, invites measurable results, and concerns information that is both useful and interesting. Testing could be conducted in a reasonable time frame, without excessive cost, and would allow other researchers to follow up, regardless of the outcome.

"Why do North American parents feel that violent video game content has a negative influence on their children?"

While this does carry an assumption, backing up that assumption with observable proof will allow for analysis of the question, provide insight on a significant subject, and give readers something to build on in future research. 

It also discusses a topic that is recognizably relevant. (In 2022, at least. If you are reading this article in the future, there might already be an answer to this question that requires further analysis or testing!)

"To what extent has Alexey Arkhipovsky's 2013 album, Insomnia , influenced gender identification in Russian culture?"

While it's tightly focused, this question also presents an assumption (that the music influenced gender identification) and seeks to prove or disprove it. This allows for the possibilities that the music had no influence at all or had a demonstrable impact.

Answering the question will involve explaining the context and using many sources so that the reader can follow the logic and be convinced of the author's findings. The results (be they positive or negative) will also open the door to countless other studies.

How to Turn a Bad Research Question into a Good One

If something is wrong, fix it if you can. But train yourself not to worry. Worry never fixes anything.

–Ernest Hemingway

How do you turn something that won't help your research into something that will? Start by taking a step back and asking what you are expected to produce. While there are any number of fascinating subjects out there, a grant paying you to examine income disparity in Japan is not going to warrant an in-depth discussion of South American farming pollution. 

Use these expectations to frame your initial topic and the subject that your research should be about, and then conduct preliminary research into that subject. If you spot a knowledge gap while researching, make a note of it, and add it to your list of possible questions.

If you already have a question that is relevant to your topic but has flaws, identify the issues and see if they can be addressed. In addition, if your question is too broad, try to narrow it down enough to make your research feasible.

Especially in the sciences, if your research question will not produce results that can be replicated, determine how you can change it so a reader can look at what you've done and go about repeating your actions so they can see that you are right.

Moreover, if you would need 20 years to produce results, consider whether there is a way to tighten things up to produce more immediate results. This could justify future research that will eventually reach that lofty goal.

If all else fails, you can use the flawed question as a subtopic and try to find a better question that fits your goals and expectations.

Parting Advice

When you have your early work edited, don't be surprised if you are told that your research question requires revision. Quite often, results or the lack thereof can force a researcher to shift their focus and examine a less significant topic—or a different facet of a known issue—because testing did not produce the expected result. 

If that happens, take heart. You now have the tools to assess your question, find its flaws, and repair them so that you can complete your research with confidence and publish something you know your audience will read with fascination.

Of course, if you receive affirmation that your research question is strong or are polishing your work before submitting it to a publisher, you might just need a final proofread to ensure that your confidence is well placed. Then, you can start pursuing something new that the world does not yet know (but will know) once you have your research question down.

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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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Transitive and Intransitive Verbs in the World of Research

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How to Establish a Research Topic: Easy Writing Tips

Last Updated: December 15, 2022 Fact Checked

This article was co-authored by Alexander Ruiz, M.Ed. . Alexander Ruiz is an Educational Consultant and the Educational Director of Link Educational Institute, a tutoring business based in Claremont, California that provides customizable educational plans, subject and test prep tutoring, and college application consulting. With over a decade and a half of experience in the education industry, Alexander coaches students to increase their self-awareness and emotional intelligence while achieving skills and the goal of achieving skills and higher education. He holds a BA in Psychology from Florida International University and an MA in Education from Georgia Southern University. There are 9 references cited in this article, which can be found at the bottom of the page. This article has been fact-checked, ensuring the accuracy of any cited facts and confirming the authority of its sources. This article has been viewed 112,062 times.

With a world of possibilities out there, choosing a research topic can be a daunting task. However, selecting a worthy subject is half the battle when it comes to producing valuable original research. If you take some time to attentively brainstorm possibilities and refine them down into a solid, focused research question, you’ll come away with a topic that’s manageable, worthwhile, and, most importantly, interesting to you.

Picking a Topic

• One way to ensure you have a topic that’s of interest to you to pick a subject to which you have a personal connection. For instance, if your sister has Crohn's Disease, you may be interested in investigating it. Or, if you went on an exchange program to Croatia, you might be keen to know more about its history or culture.
• Another way to trim down your possibilities is to see if there any patterns that emerge from the longer list. For example, if you wrote down “Gertrude Stein” and “Djuna Barnes,” you could focus on lesbian expat authors.

• You want to choose a topic that has some, but not too much information available on it. If there are some substantive related resources out there, you know you’re on the right track; if there are pages and pages of relevant search results, you can tell that plenty of people have already gone down that road or that the topic is likely too big to cover and you will need to narrow it further.

• For instance, if you are interested in the mapping of the human genome, read about the general history of the scientific advances that have allowed us to map DNA and see if there’s a particular subtopic that catches your eye. Instead of trying to cover the entire subject, limit your scope to focus on the discovery of a gene related to a specific trait or disease or on a particular application, like the regulation of gene therapy for unborn fetuses.

Kim Gillingham, MA

Use your interests to narrow your focus. Retired librarian, Kim Gillingham, adds: "You can start with a general topic such as Outer Space. Then ask yourself specific questions such as 'What am I interested in about Outer Space?' It could be the history of space exploration, the technology of space exploration, or 'Is Pluto a planet or not?' As always, librarians can be of immense help in narrowing down a topic through a technique called the Reference Interview — try asking your librarian about it!"

• When you meet with or email them, explain the research that you’ve already conducted to show them that you’ve done your homework. Then, ask something like, “I’m most interested in looking into coming of age rituals in contemporary indigenous cultures, and I was wondering if you think that’s a good topic to pursue and if you had any suggestions for specific case studies or other resources related to it.”
• Remember: they may be able to point you in a more specific direction based on your general interests, but don’t expect them to do the whole selection process for you.
• If you’re doing independent research to earn a degree (rather than to fulfill the requirements of a particular class), you should also ask them about the potential marketability of your subject since your topic will be setting the direction for your future career.

Developing Your Research Question

• After you conduct your preliminary research, think about the gaps that you noticed in the information available on the subject that you’ve been investigating. Devise a question that could address that missing information.
• One concrete way to do this is to explore the relationship between two ideas, concepts, phenomena, or events that came up in your research but whose relationship has not been fully investigated. For example, “how did political radicals influence popular representations of sexuality in the 1920s United States?”
• Another concrete way to formulate your question is to consider how an existing methodology or concept applies to a new, specific context or case study. For instance, you could think of how Sigmund Freud’s idea of the “appendage” applies to a specific virtual reality game.

• For example, if your question requires conducting a study that’s not feasible given your timeframe or the resources available to you, then you need to find a way to revise your question so that you can answer it.
• Sometimes if your topic is too new, there won’t be a substantial enough body of research available for you to do a comprehensive analysis of it. In that case, you may need to revise or broaden your question so that you can actually answer it. [5] X Research source

• If your question is not narrow enough, refine your focus further by limiting your topic according to a given historical era, theoretical approach, geographical region, demographic or culture, industry or field. For example, if you’re interested in refugees, you might limit your scope by honing in on a particular event (World War II) and/or time period (the 1940s), a specific location (England) and/or population (Jewish people from Austria). [6] X Research source

Making Sure that You’re on the Right Track

• You might have a brilliant research question, but, if it’s about genetic disorders and the grant you’re applying for only funds research on communicable diseases, you’ll need to go back to the drawing board.
• Also be sure to take the required length of the project into consideration. For instance, if your question is too narrow or specific, you might not be able to hit the 250-page requirement for a doctoral thesis.

• Start by listing the various research methods that you’ll use, such as a literature review, interviews, and qualitative analysis. Then, create a timeline for when you’ll be doing each kind of research, being sure to leave enough time for yourself to complete the writing.

• You can order topics chronologically (for instance, if you’re studying a historical event). Most often, you’ll order them according to the progression of your argument, with one idea building on the last.
• Your research may change the structure or content of your outline, but it’s still useful to have a well-developed starting point.

Community Q&A

• If you have no idea of where to begin, consider going through old notes and textbooks or speaking to classmates to get some inspiration. Or, browse through the most recently published journals in your field to see what the latest trends in research are. Thanks Helpful 1 Not Helpful 0

• Since research is a demanding process, the most important thing is that you choose a topic that will sustain your enthusiasm and curiosity. Thanks Helpful 5 Not Helpful 1

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• ↑ https://writingcenter.unc.edu/tips-and-tools/brainstorming/
• ↑ http://libguides.mit.edu/select-topic
• ↑ https://bowvalleycollege.libguides.com/research-help/topics
• ↑ https://libraries.indiana.edu/sites/default/files/Develop_a_Research_Question.pdf
• ↑ http://libguides.mit.edu/c.php?g=175961&p=1160160#s-lg-box-wrapper-4114979
• ↑ http://libguides.mit.edu/c.php?g=175961&p=1160160#791450
• ↑ https://files.bucknell.edu/Documents/ISR/topic.pdf
• ↑ Alexander Ruiz, M.Ed.. Educational Consultant. Expert Interview. 18 June 2020.
• ↑ http://libguides.usc.edu/writingguide/outline

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• Library Website
• Research Basics

Developing a Research Question

• Introduction
• The Research Process
• Scholarly & Peer-Reviewed
• Primary vs. Secondary Sources
• 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

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• Last Updated: Aug 15, 2023 3:47 PM
• URL: https://library.ndnu.edu/researchbasics

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• Starting the research process

How to Choose a Dissertation Topic | 8 Steps to Follow

Published on November 11, 2022 by Shona McCombes and Tegan George. Revised on November 20, 2023.

Choosing your dissertation topic is the first step in making sure your research goes as smoothly as possible. When choosing a topic, it’s important to consider:

• Your institution and department’s requirements
• Your areas of knowledge and interest
• The scientific, social, or practical relevance
• The availability of data and resources
• The timeframe of your dissertation
• The relevance of your topic

You can follow these steps to begin narrowing down your ideas.

Table of contents

Step 1: check the requirements, step 2: choose a broad field of research, step 3: look for books and articles, step 4: find a niche, step 5: consider the type of research, step 6: determine the relevance, step 7: make sure it’s plausible, step 8: get your topic approved, other interesting articles, frequently asked questions about dissertation topics.

The very first step is to check your program’s requirements. This determines the scope of what it is possible for you to research.

• Is there a minimum and maximum word count?
• When is the deadline?
• Should the research have an academic or a professional orientation?
• Are there any methodological conditions? Do you have to conduct fieldwork, or use specific types of sources?

Some programs have stricter requirements than others. You might be given nothing more than a word count and a deadline, or you might have a restricted list of topics and approaches to choose from. If in doubt about what is expected of you, always ask your supervisor or department coordinator.

Start by thinking about your areas of interest within the subject you’re studying. Examples of broad ideas include:

• Twentieth-century literature
• Economic history
• Health policy

To get a more specific sense of the current state of research on your potential topic, skim through a few recent issues of the top journals in your field. Be sure to check out their most-cited articles in particular. For inspiration, you can also search Google Scholar , subject-specific databases , and your university library’s resources.

As you read, note down any specific ideas that interest you and make a shortlist of possible topics. If you’ve written other papers, such as a 3rd-year paper or a conference paper, consider how those topics can be broadened into a dissertation.

After doing some initial reading, it’s time to start narrowing down options for your potential topic. This can be a gradual process, and should get more and more specific as you go. For example, from the ideas above, you might narrow it down like this:

• Twentieth-century literature   Twentieth-century Irish literature   Post-war Irish poetry
• Economic history   European economic history   German labor union history
• Health policy   Reproductive health policy   Reproductive rights in South America

All of these topics are still broad enough that you’ll find a huge amount of books and articles about them. Try to find a specific niche where you can make your mark, such as: something not many people have researched yet, a question that’s still being debated, or a very current practical issue.

At this stage, make sure you have a few backup ideas — there’s still time to change your focus. If your topic doesn’t make it through the next few steps, you can try a different one. Later, you will narrow your focus down even more in your problem statement and research questions .

There are many different types of research , so at this stage, it’s a good idea to start thinking about what kind of approach you’ll take to your topic. Will you mainly focus on:

• Collecting original data (e.g., experimental or field research)?
• Analyzing existing data (e.g., national statistics, public records, or archives)?
• Interpreting cultural objects (e.g., novels, films, or paintings)?
• Comparing scholarly approaches (e.g., theories, methods, or interpretations)?

Many dissertations will combine more than one of these. Sometimes the type of research is obvious: if your topic is post-war Irish poetry, you will probably mainly be interpreting poems. But in other cases, there are several possible approaches. If your topic is reproductive rights in South America, you could analyze public policy documents and media coverage, or you could gather original data through interviews and surveys .

You don’t have to finalize your research design and methods yet, but the type of research will influence which aspects of the topic it’s possible to address, so it’s wise to consider this as you narrow down your ideas.

It’s important that your topic is interesting to you, but you’ll also have to make sure it’s academically, socially or practically relevant to your field.

• Academic relevance means that the research can fill a gap in knowledge or contribute to a scholarly debate in your field.
• Social relevance means that the research can advance our understanding of society and inform social change.
• Practical relevance means that the research can be applied to solve concrete problems or improve real-life processes.

The easiest way to make sure your research is relevant is to choose a topic that is clearly connected to current issues or debates, either in society at large or in your academic discipline. The relevance must be clearly stated when you define your research problem .

Before you make a final decision on your topic, consider again the length of your dissertation, the timeframe in which you have to complete it, and the practicalities of conducting the research.

Will you have enough time to read all the most important academic literature on this topic? If there’s too much information to tackle, consider narrowing your focus even more.

Will you be able to find enough sources or gather enough data to fulfil the requirements of the dissertation? If you think you might struggle to find information, consider broadening or shifting your focus.

Do you have to go to a specific location to gather data on the topic? Make sure that you have enough funding and practical access.

Last but not least, will the topic hold your interest for the length of the research process? To stay motivated, it’s important to choose something you’re enthusiastic about!

Most programmes will require you to submit a brief description of your topic, called a research prospectus or proposal .

Remember, if you discover that your topic is not as strong as you thought it was, it’s usually acceptable to change your mind and switch focus early in the dissertation process. Just make sure you have enough time to start on a new topic, and always check with your supervisor or department.

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

Methodology

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

 Statistics

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

Research bias

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

Formulating a main research question can be a difficult task. Overall, your question should contribute to solving the problem that you have defined in your problem statement .

However, it should also fulfill criteria in three main areas:

• Researchability
• Feasibility and specificity
• Relevance and originality

All research questions should be:

• Focused on a single problem or issue
• Researchable using primary and/or secondary sources
• Feasible to answer within the timeframe and practical constraints
• Specific enough to answer thoroughly
• Complex enough to develop the answer over the space of a paper or thesis
• Relevant to your field of study and/or society more broadly

You can assess information and arguments critically by asking certain questions about the source. You can use the CRAAP test , focusing on the currency , relevance , authority , accuracy , and purpose of a source of information.

Ask questions such as:

• Who is the author? Are they an expert?
• Why did the author publish it? What is their motivation?
• How do they make their argument? Is it backed up by evidence?

A dissertation prospectus or proposal describes what or who you plan to research for your dissertation. It delves into why, when, where, and how you will do your research, as well as helps you choose a type of research to pursue. You should also determine whether you plan to pursue qualitative or quantitative methods and what your research design will look like.

It should outline all of the decisions you have taken about your project, from your dissertation topic to your hypotheses and research objectives , ready to be approved by your supervisor or committee.

Note that some departments require a defense component, where you present your prospectus to your committee orally.

The best way to remember the difference between a research plan and a research proposal is that they have fundamentally different audiences. A research plan helps you, the researcher, organize your thoughts. On the other hand, a dissertation proposal or research proposal aims to convince others (e.g., a supervisor, a funding body, or a dissertation committee) that your research topic is relevant and worthy of being conducted.

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5 Steps to Creating Better Research Questions

5-minute read

• 14th December 2021

Research questions are central to scientific inquiry . Well-formulated research questions identify the specific issues your study will address and help you plan your investigation.

In this post, we’ll show you how to formulate strong research questions in five steps:

• Start with a broad topic that you’re interested in.
• Familiarize yourself with current work in your chosen area.
• Identify the specific issue you want to focus on.
• Develop a suitably complex question.
• Refine your question by examining each word.

Read on to learn more about each of these points.

1. Choose a Subject That You Are Genuinely Curious About

You’ll spend a lot of time researching your chosen topic. That’s why you should choose a topic that interests you and that you’d like to learn about. Also, you should choose a topic that’s exciting and relevant to your audience, especially if you hope to have your work published .

Instead of choosing a completely new area of study, choose a topic that you already know a little bit about. If you’ve read even just a few articles about something, that’s better than tackling something completely new.

Your topic should be broad but not too broad. For example, if you choose “mental health,” you need to narrow it down right away so that step 2 is doable. A more realistic broad topic would be “mental health in teenagers.” You won’t have to complete as much research, but you’ll still have plenty of room to find a niche topic within the larger area. 

2. Carry Out Preliminary Research

The next step is to research your chosen topic. By looking at recent journal articles and review papers , you can find out what other researchers are exploring and what questions arise from existing studies.

The aim here is to identify possible subtopics and/or find gaps in current research. So, as you read, jot down questions you’d like to answer and areas you’d like to explore further.

3. Focus on a Precise Issue Within the Broader Topic

Now that you’ve familiarized yourself with the current state of research on your chosen topic, you can focus on a niche area.

In our example above, “mental health in teenagers,” this could mean focusing on a specific group (e.g., 7th–9 th -grade students). We could look at a single area of mental health (e.g., anxiety) or a specific time or place.

Maybe in your initial reading, you discovered a gap in existing research that could form the basis of your research question, or you may be interested in exploring the relationship between different variables (e.g., gender and anxiety level).

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Another idea is to consider how current events might affect the broader topic. For example, you might choose to study the impact of the pandemic on the mental wellbeing of 11–16-year-old children.

4. Create an Interesting, Researchable Question

The next step is to turn your idea into a well-balanced question. The best research questions will tick all the boxes below:

●  Original: This simply means that your question shouldn’t have already been answered. It doesn’t mean you must have an idea that nobody has come up with yet, but your approach should bring new insight. This could mean that you focus on a specific age group or geographic area.

●  Focused: Your question should identify a single problem that you want your research to address.

●  Complex: If someone could answer your question by searching the Internet for five minutes, it’s not complex enough. Research questions should ask “how” and “why” rather than “is” or “does.” In other words, they shouldn’t be easily answered with “yes” or “no.” Rather, answering the question means bringing together ideas and data from different sources.

●  Achievable: Even if your question is complex enough to turn into a research paper, you still need to keep in mind constraints like word count, time frame, availability of resources, and your ability to complete the necessary research.

●  Debatable: When answering your research question, keep in mind that you don’t want to reach a definitive conclusion. A strong question leaves room for further discussion.

5. Make Every Word Count

The final step is to formulate the precise wording of your question. You may need to follow a defined format (e.g., PICO or PEO ), or you can phrase the question in your own way.

In either case, your research question must clearly state what the paper is about. It should be as concise as possible but not open to misinterpretation. This includes defining ambiguous terms (e.g., “young people”) and detailing how you’ll evaluate any relevant variables.

Hopefully, you can now formulate effective research questions. Don’t forget to have your paper proofread by an expert when you’re done. At Proofed, we’ll check your writing for errors in grammar, spelling, and punctuation and give you feedback on clarity and conciseness. You can even try our proofreading service for free .

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Part 2: Conceptualizing your research project

9. Writing your research question

Chapter outline.

• Empirical vs. ethical questions (4 minute read)
• Characteristics of a good research question (4 minute read)
• Quantitative research questions (7 minute read)
• Qualitative research questions (3 minute read)
• Evaluating and updating your research questions (4 minute read)

Content warning: examples in this chapter include references to sexual violence, sexism, substance use disorders, homelessness, domestic violence, the child welfare system, cissexism and heterosexism, and truancy and school discipline.

9.1 Empirical vs. ethical questions

Learning objectives.

Learners will be able to…

• Define empirical questions and provide an example
• Define ethical questions and provide an example

Writing a good research question is an art and a science. It is a science because you have to make sure it is clear, concise, and well-developed. It is an art because often your language needs “wordsmithing” to perfect and clarify the meaning. This is an exciting part of the research process; however, it can also be one of the most stressful.

Creating a good research question begins by identifying a topic you are interested in studying. At this point, you already have a working question. You’ve been applying it to the exercises in each chapter, and after reading more about your topic in the scholarly literature, you’ve probably gone back and revised your working question a few times. We’re going to continue that process in more detail in this chapter. Keep in mind that writing research questions is an iterative process, with revisions happening week after week until you are ready to start your project.

Empirical vs. ethical questions

When it comes to research questions, social science is best equipped to answer empirical questions —those that can be answered by real experience in the real world—as opposed to  ethical questions —questions about which people have moral opinions and that may not be answerable in reference to the real world. While social workers have explicit ethical obligations (e.g., service, social justice), research projects ask empirical questions to help actualize and support the work of upholding those ethical principles.

In order to help you better understand the difference between ethical and empirical questions, let’s consider a topic about which people have moral opinions. How about SpongeBob SquarePants? [1] In early 2005, members of the conservative Christian group Focus on the Family (2005) [2] denounced this seemingly innocuous cartoon character as “morally offensive” because they perceived his character to be one that promotes a “pro-gay agenda.” Focus on the Family supported their claim that SpongeBob is immoral by citing his appearance in a children’s video designed to promote tolerance of all family forms (BBC News, 2005). [3] They also cited SpongeBob’s regular hand-holding with his male sidekick Patrick as further evidence of his immorality.

So, can we now conclude that SpongeBob SquarePants is immoral? Not so fast. While your mother or a newspaper or television reporter may provide an answer, a social science researcher cannot. Questions of morality are ethical, not empirical. Of course, this doesn’t mean that social science researchers cannot study opinions about or social meanings surrounding SpongeBob SquarePants (Carter, 2010). [4] We study humans after all, and as you will discover in the following chapters of this textbook, we are trained to utilize a variety of scientific data-collection techniques to understand patterns of human beliefs and behaviors. Using these techniques, we could find out how many people in the United States find SpongeBob morally reprehensible, but we could never learn, empirically, whether SpongeBob is in fact morally reprehensible.

Let’s consider an example from a recent MSW research class I taught. A student group wanted to research the penalties for sexual assault. Their original research question was: “How can prison sentences for sexual assault be so much lower than the penalty for drug possession?” Outside of the research context, that is a darn good question! It speaks to how the War on Drugs and the patriarchy have distorted the criminal justice system towards policing of drug crimes over gender-based violence.

Unfortunately, it is an ethical question, not an empirical one. To answer that question, you would have to draw on philosophy and morality, answering what it is about human nature and society that allows such unjust outcomes. However, you could not answer that question by gathering data about people in the real world. If I asked people that question, they would likely give me their opinions about drugs, gender-based violence, and the criminal justice system. But I wouldn’t get the real answer about why our society tolerates such an imbalance in punishment.

As the students worked on the project through the semester, they continued to focus on the topic of sexual assault in the criminal justice system. Their research question became more empirical because they read more empirical articles about their topic. One option that they considered was to evaluate intervention programs for perpetrators of sexual assault to see if they reduced the likelihood of committing sexual assault again. Another option they considered was seeing if counties or states with higher than average jail sentences for sexual assault perpetrators had lower rates of re-offense for sexual assault. These projects addressed the ethical question of punishing perpetrators of sexual violence but did so in a way that gathered and analyzed empirical real-world data. Our job as social work researchers is to gather social facts about social work issues, not to judge or determine morality.

Key Takeaways

• Empirical questions are distinct from ethical questions.
• There are usually a number of ethical questions and a number of empirical questions that could be asked about any single topic.
• While social workers may research topics about which people have moral opinions, a researcher’s job is to gather and analyze empirical data.
• Take a look at your working question. Make sure you have an empirical question, not an ethical one. To perform this check, describe how you could find an answer to your question by conducting a study, like a survey or focus group, with real people.

9.2 Characteristics of a good research question

• Identify and explain the key features of a good research question
• Explain why it is important for social workers to be focused and clear with the language they use in their research questions

Now that you’ve made sure your working question is empirical, you need to revise that working question into a formal research question. So, what makes a good research question? First, it is generally written in the form of a question. To say that your research question is “the opioid epidemic” or “animal assisted therapy” or “oppression” would not be correct. You need to frame your topic as a question, not a statement. A good research question is also one that is well-focused. A well-focused question helps you tune out irrelevant information and not try to answer everything about the world all at once. You could be the most eloquent writer in your class, or even in the world, but if the research question about which you are writing is unclear, your work will ultimately lack direction.

In addition to being written in the form of a question and being well-focused, a good research question is one that cannot be answered with a simple yes or no. For example, if your interest is in gender norms, you could ask, “Does gender affect a person’s performance of household tasks?” but you will have nothing left to say once you discover your yes or no answer. Instead, why not ask, about the relationship between gender and household tasks. Alternatively, maybe we are interested in how or to what extent gender affects a person’s contributions to housework in a marriage? By tweaking your question in this small way, you suddenly have a much more fascinating question and more to say as you attempt to answer it.

A good research question should also have more than one plausible answer. In the example above, the student who studied the relationship between gender and household tasks had a specific interest in the impact of gender, but she also knew that preferences might be impacted by other factors. For example, she knew from her own experience that her more traditional and socially conservative friends were more likely to see household tasks as part of the female domain, and were less likely to expect their male partners to contribute to those tasks. Thinking through the possible relationships between gender, culture, and household tasks led that student to realize that there were many plausible answers to her questions about how  gender affects a person’s contribution to household tasks. Because gender doesn’t exist in a vacuum, she wisely felt that she needed to consider other characteristics that work together with gender to shape people’s behaviors, likes, and dislikes. By doing this, the student considered the third feature of a good research question–she thought about relationships between several concepts. While she began with an interest in a single concept—household tasks—by asking herself what other concepts (such as gender or political orientation) might be related to her original interest, she was able to form a question that considered the relationships  among  those concepts.

This student had one final component to consider. Social work research questions must contain a target population. Her study would be very different if she were to conduct it on older adults or immigrants who just arrived in a new country. The target population is the group of people whose needs your study addresses. Maybe the student noticed issues with household tasks as part of her social work practice with first-generation immigrants, and so she made it her target population. Maybe she wants to address the needs of another community. Whatever the case, the target population should be chosen while keeping in mind social work’s responsibility to work on behalf of marginalized and oppressed groups.

In sum, a good research question generally has the following features:

• It is written in the form of a question
• It is clearly written
• It cannot be answered with “yes” or “no”
• It has more than one plausible answer
• It considers relationships among multiple variables
• It is specific and clear about the concepts it addresses
• It includes a target population
• A poorly focused research question can lead to the demise of an otherwise well-executed study.
• Research questions should be clearly worded, consider relationships between multiple variables, have more than one plausible answer, and address the needs of a target population.

Okay, it’s time to write out your first draft of a research question.

• Once you’ve done so, take a look at the checklist in this chapter and see if your research question meets the criteria to be a good one.

Brainstorm whether your research question might be better suited to quantitative or qualitative methods.

• Describe why your question fits better with quantitative or qualitative methods.
• Provide an alternative research question that fits with the other type of research method.

9.3 Quantitative research questions

• Describe how research questions for exploratory, descriptive, and explanatory quantitative questions differ and how to phrase them
• Identify the differences between and provide examples of strong and weak explanatory research questions

Quantitative descriptive questions

The type of research you are conducting will impact the research question that you ask. Probably the easiest questions to think of are quantitative descriptive questions. For example, “What is the average student debt load of MSW students?” is a descriptive question—and an important one. We aren’t trying to build a causal relationship here. We’re simply trying to describe how much debt MSW students carry. Quantitative descriptive questions like this one are helpful in social work practice as part of community scans, in which human service agencies survey the various needs of the community they serve. If the scan reveals that the community requires more services related to housing, child care, or day treatment for people with disabilities, a nonprofit office can use the community scan to create new programs that meet a defined community need.

Quantitative descriptive questions will often ask for percentage, count the number of instances of a phenomenon, or determine an average. Descriptive questions may only include one variable, such as ours about student debt load, or they may include multiple variables. Because these are descriptive questions, our purpose is not to investigate causal relationships between variables. To do that, we need to use a quantitative explanatory question.

Quantitative explanatory questions

Most studies you read in the academic literature will be quantitative and explanatory. Why is that? If you recall from Chapter 2 , explanatory research tries to build nomothetic causal relationships. They are generalizable across space and time, so they are applicable to a wide audience. The editorial board of a journal wants to make sure their content will be useful to as many people as possible, so it’s not surprising that quantitative research dominates the academic literature.

Structurally, quantitative explanatory questions must contain an independent variable and dependent variable. Questions should ask about the relationship between these variables. The standard format I was taught in graduate school for an explanatory quantitative research question is: “What is the relationship between [independent variable] and [dependent variable] for [target population]?” You should play with the wording for your research question, revising that standard format to match what you really want to know about your topic.

Let’s take a look at a few more examples of possible research questions and consider the relative strengths and weaknesses of each. Table 9.1 does just that. While reading the table, keep in mind that I have only noted what I view to be the most relevant strengths and weaknesses of each question. Certainly each question may have additional strengths and weaknesses not noted in the table. Each of these questions is drawn from student projects in my research methods classes and reflects the work of many students on their research question over many weeks.

Making it more specific

A good research question should also be specific and clear about the concepts it addresses. A student investigating gender and household tasks knows what they mean by “household tasks.” You likely also have an impression of what “household tasks” means. But are your definition and the student’s definition the same? A participant in their study may think that managing finances and performing home maintenance are household tasks, but the researcher may be interested in other tasks like childcare or cleaning. The only way to ensure your study stays focused and clear is to be specific about what you mean by a concept. The student in our example could pick a specific household task that was interesting to them or that the literature indicated was important—for example, childcare. Or, the student could have a broader view of household tasks, one that encompasses childcare, food preparation, financial management, home repair, and care for relatives. Any option is probably okay, as long as the researcher is clear on what they mean by “household tasks.” Clarifying these distinctions is important as we look ahead to specifying how your variables will be measured in Chapter 11 .

Table 9.2 contains some “watch words” that indicate you may need to be more specific about the concepts in your research question.

It can be challenging to be this specific in social work research, particularly when you are just starting out your project and still reading the literature. If you’ve only read one or two articles on your topic, it can be hard to know what you are interested in studying. Broad questions like “What are the causes of chronic homelessness, and what can be done to prevent it?” are common at the beginning stages of a research project as working questions. However, moving from working questions to research questions in your research proposal requires that you examine the literature on the topic and refine your question over time to be more specific and clear. Perhaps you want to study the effect of a specific anti-homelessness program that you found in the literature. Maybe there is a particular model to fighting homelessness, like Housing First or transitional housing, that you want to investigate further. You may want to focus on a potential cause of homelessness such as LGBTQ+ discrimination that you find interesting or relevant to your practice. As you can see, the possibilities for making your question more specific are almost infinite.

Quantitative exploratory questions

In exploratory research, the researcher doesn’t quite know the lay of the land yet. If someone is proposing to conduct an exploratory quantitative project, the watch words highlighted in Table 9.2 are not problematic at all. In fact, questions such as “What factors influence the removal of children in child welfare cases?” are good because they will explore a variety of factors or causes. In this question, the independent variable is less clearly written, but the dependent variable, family preservation outcomes, is quite clearly written. The inverse can also be true. If we were to ask, “What outcomes are associated with family preservation services in child welfare?”, we would have a clear independent variable, family preservation services, but an unclear dependent variable, outcomes. Because we are only conducting exploratory research on a topic, we may not have an idea of what concepts may comprise our “outcomes” or “factors.” Only after interacting with our participants will we be able to understand which concepts are important.

Remember that exploratory research is appropriate only when the researcher does not know much about topic because there is very little scholarly research. In our examples above, there is extensive literature on the outcomes in family reunification programs and risk factors for child removal in child welfare. Make sure you’ve done a thorough literature review to ensure there is little relevant research to guide you towards a more explanatory question.

• Descriptive quantitative research questions are helpful for community scans but cannot investigate causal relationships between variables.
• Explanatory quantitative research questions must include an independent and dependent variable.
• Exploratory quantitative research questions should only be considered when there is very little previous research on your topic.
• Identify the type of research you are engaged in (descriptive, explanatory, or exploratory).
• Create a quantitative research question for your project that matches with the type of research you are engaged in.

Preferably, you should be creating an explanatory research question for quantitative research.

9.4 Qualitative research questions

• List the key terms associated with qualitative research questions
• Distinguish between qualitative and quantitative research questions

Qualitative research questions differ from quantitative research questions. Because qualitative research questions seek to explore or describe phenomena, not provide a neat nomothetic explanation, they are often more general and openly worded. They may include only one concept, though many include more than one. Instead of asking how one variable causes changes in another, we are instead trying to understand the experiences ,  understandings , and  meanings that people have about the concepts in our research question. These keywords often make an appearance in qualitative research questions.

Let’s work through an example from our last section. In Table 9.1, a student asked, “What is the relationship between sexual orientation or gender identity and homelessness for late adolescents in foster care?” In this question, it is pretty clear that the student believes that adolescents in foster care who identify as LGBTQ+ may be at greater risk for homelessness. This is a nomothetic causal relationship—LGBTQ+ status causes changes in homelessness.

However, what if the student were less interested in  predicting  homelessness based on LGBTQ+ status and more interested in  understanding  the stories of foster care youth who identify as LGBTQ+ and may be at risk for homelessness? In that case, the researcher would be building an idiographic causal explanation . The youths whom the researcher interviews may share stories of how their foster families, caseworkers, and others treated them. They may share stories about how they thought of their own sexuality or gender identity and how it changed over time. They may have different ideas about what it means to transition out of foster care.

Because qualitative questions usually center on idiographic causal relationships, they look different than quantitative questions. Table 9.3 below takes the final research questions from Table 9.1 and adapts them for qualitative research. The guidelines for research questions previously described in this chapter still apply, but there are some new elements to qualitative research questions that are not present in quantitative questions.

• Qualitative research questions often ask about lived experience, personal experience, understanding, meaning, and stories.
• Qualitative research questions may be more general and less specific.
• Qualitative research questions may also contain only one variable, rather than asking about relationships between multiple variables.

Qualitative research questions have one final feature that distinguishes them from quantitative research questions: they can change over the course of a study. Qualitative research is a reflexive process, one in which the researcher adapts their approach based on what participants say and do. The researcher must constantly evaluate whether their question is important and relevant to the participants. As the researcher gains information from participants, it is normal for the focus of the inquiry to shift.

For example, a qualitative researcher may want to study how a new truancy rule impacts youth at risk of expulsion. However, after interviewing some of the youth in their community, a researcher might find that the rule is actually irrelevant to their behavior and thoughts. Instead, their participants will direct the discussion to their frustration with the school administrators or the lack of job opportunities in the area. This is a natural part of qualitative research, and it is normal for research questions and hypothesis to evolve based on information gleaned from participants.

However, this reflexivity and openness unacceptable in quantitative research for good reasons. Researchers using quantitative methods are testing a hypothesis, and if they could revise that hypothesis to match what they found, they could never be wrong! Indeed, an important component of open science and reproducability is the preregistration of a researcher’s hypotheses and data analysis plan in a central repository that can be verified and replicated by reviewers and other researchers. This interactive graphic from 538 shows how an unscrupulous research could come up with a hypothesis and theoretical explanation  after collecting data by hunting for a combination of factors that results in a statistically significant relationship. This is an excellent example of how the positivist assumptions behind quantitative research and intepretivist assumptions behind qualitative research result in different approaches to social science.

• Qualitative research questions often contain words or phrases like “lived experience,” “personal experience,” “understanding,” “meaning,” and “stories.”
• Qualitative research questions can change and evolve over the course of the study.
• Using the guidance in this chapter, write a qualitative research question. You may want to use some of the keywords mentioned above.

9.5 Evaluating and updating your research questions

• Evaluate the feasibility and importance of your research questions
• Begin to match your research questions to specific designs that determine what the participants in your study will do

Feasibility and importance

As you are getting ready to finalize your research question and move into designing your research study, it is important to check whether your research question is feasible for you to answer and what importance your results will have in the community, among your participants, and in the scientific literature

Key questions to consider when evaluating your question’s feasibility include:

• Do you have access to the data you need?
• Will you be able to get consent from stakeholders, gatekeepers, and others?
• Does your project pose risk to individuals through direct harm, dual relationships, or breaches in confidentiality? (see Chapter 6 for more ethical considerations)
• Are you competent enough to complete the study?
• Do you have the resources and time needed to carry out the project?

Key questions to consider when evaluating the importance of your question include:

• Can we answer your research question simply by looking at the literature on your topic?
• How does your question add something new to the scholarly literature? (raises a new issue, addresses a controversy, studies a new population, etc.)
• How will your target population benefit, once you answer your research question?
• How will the community, social work practice, and the broader social world benefit, once you answer your research question?
• Using the questions above, check whether you think your project is feasible for you to complete, given the constrains that student projects face.
• Realistically, explore the potential impact of your project on the community and in the scientific literature. Make sure your question cannot be answered by simply reading more about your topic.

Matching your research question and study design

This chapter described how to create a good quantitative and qualitative research question. In Parts 3 and 4 of this textbook, we will detail some of the basic designs like surveys and interviews that social scientists use to answer their research questions. But which design should you choose?

As with most things, it all depends on your research question. If your research question involves, for example, testing a new intervention, you will likely want to use an experimental design. On the other hand, if you want to know the lived experience of people in a public housing building, you probably want to use an interview or focus group design.

We will learn more about each one of these designs in the remainder of this textbook. We will also learn about using data that already exists, studying an individual client inside clinical practice, and evaluating programs, which are other examples of designs. Below is a list of designs we will cover in this textbook:

• Surveys: online, phone, mail, in-person
• Experiments: classic, pre-experiments, quasi-experiments
• Interviews: in-person or via phone or videoconference
• Focus groups: in-person or via videoconference
• Content analysis of existing data
• Secondary data analysis of another researcher’s data
• Program evaluation

The design of your research study determines what you and your participants will do. In an experiment, for example, the researcher will introduce a stimulus or treatment to participants and measure their responses. In contrast, a content analysis may not have participants at all, and the researcher may simply read the marketing materials for a corporation or look at a politician’s speeches to conduct the data analysis for the study.

I imagine that a content analysis probably seems easier to accomplish than an experiment. However, as a researcher, you have to choose a research design that makes sense for your question and that is feasible to complete with the resources you have. All research projects require some resources to accomplish. Make sure your design is one you can carry out with the resources (time, money, staff, etc.) that you have.

There are so many different designs that exist in the social science literature that it would be impossible to include them all in this textbook. The purpose of the subsequent chapters is to help you understand the basic designs upon which these more advanced designs are built. As you learn more about research design, you will likely find yourself revising your research question to make sure it fits with the design. At the same time, your research question as it exists now should influence the design you end up choosing. There is no set order in which these should happen. Instead, your research project should be guided by whether you can feasibly carry it out and contribute new and important knowledge to the world.

• Research questions must be feasible and important.
• Research questions must match study design.
• Based on what you know about designs like surveys, experiments, and interviews, describe how you might use one of them to answer your research question.
• You may want to refer back to Chapter 2 which discusses how to get raw data about your topic and the common designs used in student research projects.

Media Attributions

• patrick-starfish-2062906_1920 © Inspired Images is licensed under a CC0 (Creative Commons Zero) license
• financial-2860753_1920 © David Schwarzenberg is licensed under a CC0 (Creative Commons Zero) license
• target-group-3460039_1920 © Gerd Altmann is licensed under a CC0 (Creative Commons Zero) license
• Not familiar with SpongeBob SquarePants? You can learn more about him on Nickelodeon’s site dedicated to all things SpongeBob:  http://www.nick.com/spongebob-squarepants/ ↵
• Focus on the Family. (2005, January 26). Focus on SpongeBob.  Christianity Today . Retrieved from  http://www.christianitytoday.com/ct/2005/januaryweb-only/34.0c.html ↵
• BBC News. (2005, January 20). US right attacks SpongeBob video. Retrieved from:  http://news.bbc.co.uk/2/hi/americas/4190699.stm ↵
• In fact, an MA thesis examines representations of gender and relationships in the cartoon: Carter, A. C. (2010).  Constructing gender and   relationships in “SpongeBob SquarePants”: Who lives in a pineapple under the sea . MA thesis, Department of Communication, University of South Alabama, Mobile, AL. ↵

research questions that can be answered by systematically observing the real world

unsuitable research questions which are not answerable by systematic observation of the real world but instead rely on moral or philosophical opinions

the group of people whose needs your study addresses

attempts to explain or describe your phenomenon exhaustively, based on the subjective understandings of your participants

"Assuming that the null hypothesis is true and the study is repeated an infinite number times by drawing random samples from the same populations(s), less than 5% of these results will be more extreme than the current result" (Cassidy et al., 2019, p. 233).

whether you can practically and ethically complete the research project you propose

the impact your study will have on participants, communities, scientific knowledge, and social justice

Graduate research methods in social work Copyright © 2021 by Matthew DeCarlo, Cory Cummings, Kate Agnelli is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

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Formulating a Research Topic

by Evan Kramer

Motivation and scope

As master’s and PhD students, we all aspire to conduct quality research. The question many of us are faced with is: how do we formulate a research topic that is well poised for performing quality research? Research topics are meant to encompass the majority or entirety of our work during our graduate career and, when well-defined, can result in opportunities to publish several high-impact academic papers. The effort required to formulate a well-defined research topic is significant, but necessary to avoid running into unforeseen challenges during your PhD. This blog post discusses the concepts that should be considered for anyone looking to define their research topic. While students have varying degrees of autonomy in shaping their research due to funding constraints and advisor expectations, the concepts discussed in this blog post account for these facets and can serve as a framework for any situation.

Overview diagram of a framework for formulating a well-defined research topic.

What is quality research?

Quality research is independent , important , and unique .

This definition identifies a set of requirements that a research topic must meet. These requirements will be discussed in more detail to orient the research topic formulation process.

Independent – Independent research can be conducted entirely by you without assistance from outside sources. While you should actively seek collaborations with others to boost the reach of your work, will you be able to complete your research objectives without relying on resources provided by others? Framing your research topic and objectives in this manner gives you protection to flakey collaborators and will keep you on track to graduate on time. For example, something you may want to avoid is crafting a research topic around the usage of one particular data set maintained by a private company. While initial collaboration talks may go smoothly, you don’t want your ability to pursue your research project in the hands of someone else!

Important – Important research makes a contribution towards answering a specific question, or a gap in knowledge, among a research community that has been posed by several scholars. You may ask yourself: if you carry out your research to completion, will your contributions answer outstanding questions posed by multiple scholars in your research community? Note that the question your work addresses may not be explicitly posed in the literature, but identifying common limitations can help formulate a gap in knowledge that you can work towards filling. Aligning your research objectives with specific and commonly posed questions can increase the chance of your work being cited by other scholars and integrated into practices in industry. 

Unique – Unique research makes a first-of-its-kind contribution. There are several ways in which your research can be unique. For example, uniqueness may be assumed if you contribute the first work to a completely unanswered question in your field. Alternatively, you may make a unique contribution to a question that has already been addressed by approaching it in a new way. Knowledge of your chosen field’s state of the art and previous foundations is useful when checking the uniqueness of your work, which can only be verified by thorough literature review. Regardless of the way your research is unique, it is important to identify the uniqueness of your work within the context of existing work in related areas.

With these three research topic characteristics in mind, the following presents a high level path to formulating your well-defined research topic.

A framework for formulating a well-defined research topic

1. look inwards.

Based on previous experiences in coursework, internships, and extracurricular activities, create a two-column list. The first column lists research fields you found interesting. The second column lists ideas that align with your personal motivations for pursuing a career in STEM research. An example of this list may look like the following:

2. Read Widely

Given the two-column lists you created, start familiarizing yourself with the current state of the art. Starting with articles in popular science media outlets can be effective for initial cursory surveys. Any articles that pique your interest should be followed by deeper dives into related literature in Google Scholar. It is likely that several of the topics in the left column of your list get crossed off quickly when you realize they no longer interest you. Continue this process until a subset of around three areas remains. Your two-column list may then look like this:

Note that the right hand column remains unchanged. You very likely will not be able to address all of your personal motivations for pursuing STEM research in your eventual research topic, but now is when you can start connecting topics you find interesting to research applications that personally motivate you. 

3. Consider funding and lab focus areas

While the research topic definition process should be approached predominantly with your own interests in mind, at this stage, it is important to consider where your funding is coming from. Typically, there will be specific fields your research must overlap with based on your funding source. Schedule a discussion with your advisor to share your topic definition process so far and ask if there are topics you should add to your list based on research group and funding requirements. Based on this discussion, add a third column to the list you’ve created that describes the necessary areas of overlap for your research.

4. Continue reading and form a research statement

At this point you are trying to iterate on combinations identified in your three-column list. You can begin to formulate an overarching research statement from these combinations. Research statements generally have the form “To…by…while…”. This sentence structure explicitly identifies what you are trying to accomplish, how you will accomplish it, and which constraints you will account for. A possible research statement could be defined with one entry from each column, or you may be able to create a topic with multiple entries from each column. In this blog’s example list, a research statement could be the following:

To enable efficient natural disaster response for remote communities by developing an AI-powered rapid response scheduling algorithm for a remote sensing satellite while accounting for limitations to satellite operations imposed by the space environment .

5. Iterate and keep track of your work

You may create a few iterations of overarching research statements like this. As you continue to read focused areas in the literature, formulate a focus area Venn Diagram. By allocating articles in your literature search to portions of the diagram, you can stay organized and keep track of the work you’re doing. For the example statement above, your Venn Diagram could look like this:

Venn diagram of research topic focus areas. The most relevant literature review items can be added to each region of the diagram to track and organize your efforts.

At this point, you are well on your way to formalizing your research topic. The formalization step involves writing research questions, drafting objective statements, and identifying your research contributions. AeroAstro Communications Lab fellows can help you with these next steps through one-on-one appointments !

How to Start a Research Project: Choosing a Topic

• Choosing a Topic

Beginning Your Research Project

You have an assignment coming up in class. You need to write a research paper, create an annotated bibliography, or make a presentation. These are just some research projects you may need to do.

This guide will show you different ways to start a research project. When following this guide, please consider 3 concepts:

• Center your personal research interests - What are you interested in?
• Take as long on each step as you would like.
• Skip steps and repeat steps as you need.

Starting from Nothing: The Mind Map

A mind map is a visual way of building a topic into a research question .

A topic is the basic idea that interests you. This is the idea that sparks your research. A topic could be "barbeque," "The Cold War," "flightless birds," or "the common cold." If you are having trouble choosing a topic , review the class syllabus or canvas modules. Find a topic covered in class that you can see yourself spending time with.

A research question is the focus of your research project. It is the thesis of your paper or the point of your presentation.

Work with us through the mind map steps to build your own research question .

To create a mind map , you will need to be able to write or type text, and the text must also be rearrangeable.

• Start with an idea like "Kitchen Design". Place your idea in the center.

• Surround your central idea with related concepts. I wrote all the kinds of kitchens I could think of. I could have also chosen to list appliances or design themes instead.

• Out of the kitchen-types, I was most drawn to "Hospital Kitchens". I then added concepts around "Hospital Kitchens". These concepts can be moved to also combined with other ideas.

• I also thought more about "Home Kitchens". I combined, "Kitchen Safety", "Consumer Preferences", and "Advertisements."

• My final version of my mind map example is very small. Don't worry if you have many more ideas and need more time rearranging your cards and planning.

I have identified two different starting research questions by combining my concepts:

• How could hospital managers design hospital kitchens to be safer for employees?
• How do kitchen appliance manufacturers advertise the safety of their products to consumers?

Research Questions

A research question is the focus of your research project. It is the thesis of your paper or the point of your presentation. Here are some requirements of a good research question:

• Research questions cannot be answered with "yes" or "no".
• Research questions can be researched.
• A small research paper shouldn't have a research question with a giant scope: How does preventative healthcare get planned?
• A small research paper should have a research question with a manageable scope: How do preventative care programs for type II diabetes in Alabaman clinics get advertised?

In this example, we narrowed the scope of our initial research question in a few ways:

• Type: "Preventative care" was limited to - "type II diabetes"
• Place: We had no initial location limit. We limited ourselves to "Alabaman clinics"
• Action: "Planned" was defined as "advertised"

Sometimes, research questions need to change slightly after you have done some research. If you were not able to find any useful resources for the example research question, then you could try changing the scope. If you cannot find anything specific to Alabaman clinics, then you could change that part of your research question to "United States clinics" or "Alabaman healthcare providers."

Still stuck? Please check Monash University's Developing Research Questions guide .

Turning your Research Question into a Search

Useful links.

• Purdue OWL: Choosing a Topic This handout provides detailed information about how to write research papers including discussing research papers as a genre, choosing topics, and finding sources.
• UNC: Brainstorming This handout discusses techniques that will help you start writing a paper and continue writing through the challenges of the revising process. Brainstorming can help you choose a topic, develop an approach to a topic, or deepen your understanding of the topic’s potential.
• University Writing Center Schedule a session with a tutor at the University Writing Center.
• Next: JSTOR >>
• Last Updated: Aug 12, 2024 9:27 AM
• URL: https://libguides.southalabama.edu/start-research

The Art of Asking Good Questions

Guest contribution: Bruce Janz on the Art of Asking Questions

Introduction

Bruce Janz is Professor in the Department of Philosophy at UCF, graduate faculty in the Texts & Technology Ph.D. program, and co-director of the CAH Center for Humanities and Digital Research. He has been at UCF since 2003 and was chair of the Philosophy department from 2008 to 2013.

We asked Dr. Janz to contribute to this course because he has some interesting thoughts on the topic of questions and questioning in philosophy but also beyond that, drawing on other disciplines. This is very much in line with our thoughts in this chapter where we present the ability to ask good questions as an important but vastly underappreciated research skill, even an artform.

Dr. Janz’s approach is to take students through a critique of their provisional questions and to revise those until they come to something that they can really get behind.

“I encourage students to trust their guts,” he says, “because sometimes the realization that a question is present comes before its clear articulation. I get them to look for the “hmm, that’s weird” moments in data or texts or whatever they are working with – that’s a site for questions. All this gets them to be a philosopher rather than study philosophy, and the same would be true of other disciplines as well.”

Here are some more of Dr. Janz’s thoughts about developing good questions, which is the focus of this chapter:

On “how” questions: People often use “how” questions as research questions (how does something happen/come to be/end up like this), and these assume that something is the case. They ask for an account of something. You might have to take a step back and demonstrate that the thing you say is happening is really happening.

“That’s weird” moments: I sometimes talk about “that’s weird” moments in looking at the data or phenomena. Moments like that are more like “why” questions. They are an attempt to give an account of something that’s not adding up, that is a certain way but it’s not clear why. That suggests that there are forces at work that need to be brought into the open. So, are there any “that’s weird” moments? Something you would expect to be one way but it’s a different way? I’m not saying that if there are no such moments there’s nothing to explain, but it’s easier if you see something like that.

Questions imply methods or disciplinary frameworks: You could, for instance, ask a question in such a way that it suggests that you are looking for a cause for some phenomenon, in which case you would have to use methods that could yield causes. It’s worth being aware of which methods or disciplines you are implicitly appealing to by asking a question. A method is a way of answering a question (among other things).

What’s the ontology of your question? In other words, what are you assuming exists in the world of your question, and how do things relate to each other? Does your question assume, for example, that individuals are the atoms of the world and any answer must refer back to what individuals do?

Questions that take risks: That is, the risk that your answer could be wrong. So it’s always worth asking about any question whether someone could disagree with you and still be right. If you are arguing for using a particular lens to understand something, could someone come along with a different lens and also give a coherent analysis? And if so, are these two lenses essentially the same thing? Is one better than the other in the end? Are these two explaining different aspects of a phenomenon? How exactly do different answers relate to each other? Also, what kind of evidence could there be that might convince you or someone else that your account is wrong? Is there anything? And if not, have you taken any risk in your question?

Small changes in wording: Questions might take on a different complexion with a very small change in wording. That’s why it is worth going over your question many times, with different wordings, to see whether something new comes up. Defining words in a question, even (maybe especially) the seemingly easy ones, can help you to think about the space your question operates in or opens up.

More “that’s weird” moments: Questions might have as their goal to fit something into an existing way of understanding the world (the “that’s weird” moment might get resolved so that it does in fact line up with other existing knowledge). On the other hand, a question might open up a whole new way of thinking (the “that’s weird” moment might lead us to realize that our accounts of the world aren’t adequate). It’s worth knowing what you think your question (or its answer) is doing or leading to.

Unspoken parts of questions: Questions have unspoken parts. Sometimes those are assumptions, maybe ones that seem obvious and don’t need defense (always be wary of those – they might in fact need attention). There might be an assumption that something causes something else to happen – that’s an assumption that might need its own support. Sometimes the unspoken parts are about the audience, or they are about who is asking the question and from what social, cultural, racial, gendered, epistemological, religious, or other position. Sometimes there’s an assumption about shared knowledge between the writer and the audience, or shared understanding of social conventions, or something like that. It’s worth bringing out into the open as many of the unspoken parts as possible, because it might affect the kind of question you can or should ask.

What happens when you answer a question? Does it just disappear like a checked box in a to-do list? Or does it live on, and if so, why? Is it because the world keeps changing and so the question remains a live one?

What does your question tell you about your own view of the world? How do you know when you’ve asked the wrong question, and how do you change your mind on your question?

How do questions relate to beliefs or worldviews? Do beliefs or worldviews govern the kinds of questions you think are legitimate? What would it be like to ask questions from outside of that space – would you just have to entirely change the ontology of your world in order for the question to make sense at all?

Where do new questions come from? Sometimes from reading more. But sometimes from living, from doing things. Sometimes from talking to people. Sometimes you have to put yourself in an uncomfortable or unfamiliar space. And sometimes, questions cross-pollinate from other areas, morphing from a familiar space to a new one.

Now let’s look at how to apply these ideas to the development and evaluation of your research question.

Strategies for Conducting Literary Research, 2e Copyright © 2021 by Barry Mauer & John Venecek is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

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World Leaders in Research-Based User Experience

Handling sensitive questions in surveys and screeners.

August 9, 2024 2024-08-09

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Frequently, surveys and screeners contain questions that some respondents may find sensitive or be reluctant to answer. Even questions that might seem innocuous to a researcher, like age, gender, or income level, could cause an emotional response from your respondents.

This article guides you through handling sensitive questions in surveys and screeners and provides some example wording for you to use in the future.

In This Article:

Which questions are sensitive, guidelines for handling sensitive questions, specific question wordings.

Researchers should always attempt to avoid any possible discomfort experienced by their research participants. In addition to the obvious ethical implications, sensitive questions could cause participants to either abandon the survey or, worse, provide unreliable answers.

A sensitive question is one that respondents might find embarrassing or invasive.

There are multiple categories of sensitive questions to be aware of, but two are particularly worthy of consideration for user researchers: demographic questions and questions about socially undesirable behaviors.

Demographic Questions

Survey researchers often add demographic questions  to a questionnaire without considering how they might be construed. While many survey takers might breeze through demographic questions, they can be potentially triggering or offensive for some respondents.

Demographic questions that have the potential to be perceived as sensitive include those asking about:

• Income level

Income level can be especially problematic and lead to high rates of nonresponse. One study by Jeffrey Moore and colleagues found that questions about income are 10 times more likely to be left blank than other demographic questions.

Sex and gender are other categories of questions that can be sensitive depending on one’s gender identity. Take this question from a recent Nielsen Radio Ratings survey.

Many people would easily complete this question without a second thought. However, consider this account from genderqueer essayist s.e. smith:

“For some trans* folk, it is a place of endless heartbreak. Every. Single. Time. I fill out a form, I stop here. There is a long pause. A hesitation. A sigh. I am not male. I am not female. On paper forms, I often leave it blank [...] Imagine dreading the filling out of forms not because it’s a hassle and it’s repetitive and it’s not very fun. Imagine dreading it because you know that you are going to have to lie and erase yourself every time you fill out a form.”

User researchers like to refer to themselves as user advocates. This lofty designation extends not only to designing delightful user experiences and interfaces but also to protecting the human experiences of our research participants. This includes all participants, not just those that fall into a perceived norm.

Questions About Socially Undesirable Behaviors

Social-desirability bias is a cognitive bias that dictates that people are less likely to disclose behaviors or preferences that are deemed to be undesirable by society. Behaviors that are considered socially undesirable can vary from person to person and, therefore, are likely to slip undetected through a survey creation process.

Common behaviors known to lead to underreporting in surveys include:

• Alcohol consumption
• Cigarette smoking (especially during pregnancy)

However, there are less obvious behaviors as well. For example, voting is also considered a socially desirable behavior, and in many surveys, the reported voting rate is higher than the real one.

Beyond these categories, additional topics that might include sensitive questions include the following:

• Questions about illegal activity
• Identifying information (e.g., home address)
• Emotionally upsetting topics (e.g., health concerns or victimization)
• Information that might be threatening in the wrong hands (e.g., disclosing a preexisting health condition)

While the strategy for addressing sensitive survey questions will vary based on multiple factors, some general guidelines are always helpful.

Determine if You Really Need to Ask

Researchers frequently include demographic questions in a survey just out of habit, without considering whether asking is truly necessary. To optimize response rate, surveys should be kept as short as possible, and therefore any question should be included only if necessary for the research at hand.

Here are 2 questions you should ask yourself before including any question in a questionnaire, regardless of sensitivity.

1. Do You Truly Care About the Answer?

Don’t ask questions because you’re merely curious, or assume all questionnaires should include basic demographic questions. If you have no plans to make decisions based on the outcome, you probably shouldn’t include the question.

2. Can You Find the Answer Another Way?

Are you using a recruiting panel like UserTesting.com or User Interviews? If so, a lot of demographic data about respondents is already included in their profiles and, therefore, doesn’t need to be asked.

Are you asking about browsing behavior on your site, data that could be gathered more accurately from analytics? Don’t ask users to provide you with information that you can access in another, less intrusive way.

Emphasize Confidentiality and Anonymity

Whether to keep participant data confidential, anonymous, or both is an important consideration in survey methodology. While often conflated, these two terms describe two different concepts.

Anonymity means a participant's data cannot be traced back to their identity. Ensuring anonymity may mean using a pseudonym or code number instead of the participant’s name in reporting.

Confidentiality limits the people who are permitted to view the response. Ensuring confidentiality might mean that no one beyond the immediate research team will ever view the survey data.

Anonymity is typically required in most cases of user research, and confidentiality is typically overkill. That said, adding the promise of confidentiality can sometimes increase the likelihood of complete and honest responses to sensitive questions.

Respondents should never have to guess whether a survey is anonymous, confidential, both, or neither. This information should be readily available to respondents when they are deciding whether to take the survey. For example:

Your privacy is important to us. All responses to this survey will be kept strictly confidential. Individual answers will be anonymized and aggregated for analysis. Your personal information will not be shared with any third parties, and will only be used for the purpose of this research. Thank you for your participation.

Lead Up to Sensitive Questions

Sensitive questions placed too early in a questionnaire or screener are more likely to lead to dropoffs. Build respondent trust with nonsensitive questions first, allowing them to invest effort in the process.

This guideline also applies to demographic questions, which should be optional and placed at the end of a questionnaire, not at the beginning, as is often the case. Demographic questions at the beginning are much more likely to lead to dropoffs than demographic questions at the end, even when they are not deemed to be sensitive.

Also, avoid placing particularly sensitive questions at the very end of a survey. If you inadvertently offend a respondent, you don’t want that to be their lasting impression of the survey.

Provide Context and Use “Question Loading”

UXers love to remove unnecessary text from interfaces and forms. Sometimes, however, adding more information is necessary.

First, you may use question loading (not to be confused with a leading question ). Question loading is the inclusion of additional context that may assuage respondent guilt or shame around questionable behavior.

Original question: Do you save a portion of your income each month?

With question loading: Given the rising cost of living and various financial commitments, many people find it challenging to save regularly. How often are you able to save a portion of your income each month?

Additionally, if a question or topic may raise eyebrows, consider explaining the purpose of asking it and the benefit that could come from answering it honestly. For example, if a survey asks a question about abortion, the drafter may include language such as the following:

We are conducting a survey to understand people's experiences with abortion. Please know that your responses are completely anonymous and will be used solely to improve access to abortion care for those who need it. We approach this topic with sensitivity and without judgment.

Use Ranges Rather than Specific Values

Imagine you want to ask about someone’s income — something they may reasonably feel sensitive about sharing. Imagine someone’s reaction to reading the following question:

What is your annual household income: __________

A respondent would likely feel very apprehensive about sharing their specific income for several reasons. They may:

• Worry about how their income will compare to the rest of the sample and whether they would be an outlier on either end of the scale
• Be confused about input formats (Do I include a dollar sign? Do I include “.00 ”? Do I include “ per year ”?)
• Worry about whether giving an exact number may be somehow identifying or overly revealing
• Be reluctant to do math if their income is variable or complex

Now consider the following format instead:

What is your total annual household income?

• $24,999 or less
• $25,000 to $49,999
• $50,000 to $74,999
• $75,000 to $99,999
• $100,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

This tweak addresses all the previous concerns. With this question format, a respondent would:

• Have a sense of how their income compares to the range, and hopefully get some reassurance that they are not alone in whatever range they fall into
• Not need to worry about an input format
• Not need to provide an exact number
• Be less likely to need to do math

Ranges feel less sensitive than asking for specific values. The larger the ranges provided, the less sensitive the request feels.

Ask About Frequency Rather than Yes/No Questions

Consider the following question from the 2019 Youth Risk Behaviors Survey.

During your life, how many times have you used marijuana?

• 1 or 2 times
• 3 to 9 times
• 10 to 19 times
• 20 to 39 times
• 40 to 99 times
• 100 or more times

Rather than simply asking Have you ever used marijuana? (which, admittedly, would probably have been easier for respondents to answer correctly if they had been willing to share that information) , the researchers asked about the frequency of use. While the Yes/No formulation may imply a moral judgment and encourage lying, the frequency question makes a slight assumption that the respondent has indeed used marijuana in the past, which encourages honesty.

Additionally, you may wish to provide additional response options at the end of the range that may be perceived as undesirable, to skew the responses away from bias. For example, consider the following question about exercise frequency.

How often do you engage in physical exercise each month?

• 0 to 3 times a month
• 4 to 7 times a month
• 8 to 12 times a month
• 13 to 20 times a month
• More than 20 times a month

Someone who only works out once or twice per month may feel shame around selecting the bottommost option, and dishonestly select a response towards the middle of the range (see central-tendency bias ).

The following formulation would likely encourage more honest responses from infrequent exercisers.

• 0 times a month
• 1 to 2 times a month
• 3 to 4 times a month
• 5 to 7 times a month

Ask Indirectly

For particularly sensitive topics, researchers may wish to employ an indirect surveying technique, such as the item-count method.

In this approach, the respondent population is divided into two groups. Each group is asked an identical question about how many behaviors from a list they have engaged in, with the addition of the behavior in question for only one of the groups.

For example, consider this question from a 2014 study by Jouni Kuha and Jonathan Jackson at the London School of Economics:

I am now going to read you a list of five [six] things that people may do or that may happen to them. Please listen to them and tell me how many of them you have done or have happened to you in the last 12 months. Do not tell me which ones are and are not true for you. Just tell me how many you have done at least once. Attended a religious service, except for a special occasion like a wedding or funeral Went to a sporting event Attended an opera Visited a country outside [your country] Had personal belongings such as money or a mobile phone stolen from you or from your house? Treatment group only: Bought something you thought might have been stolen

During the analysis, the research will then compare the differences between the two groups in order to estimate the frequency of the behavior in question.

Embed the Sensitive Question

A single sensitive question in an otherwise mundane questionnaire can stand out and be jarring. Researchers may attempt to disarm the respondent with other slightly sensitive questions to mask the question of interest.

Some questions (e.g., demographic questions) are very common and potentially sensitive. The following section includes recommendations for specific wording for these questions. You are welcome to utilize these wordings in your own surveys and screeners.

Sex and Gender

Sex and gender, while frequently conflated and confused, are different (sex is biological characteristics, whereas gender is one’s social identity). The first question you need to ask yourself when asking about sex or gender (after asking, “Do I really need to be asking at all?”) is, “Which one do I care about?” Most of the time, UX researchers care about gender, not sex.

The most important thing to remember when asking about gender is to use inclusive and gender-expansive language that captures the full breadth of gender identity that society now recognizes.

First, consider the question wording. Please select your gender implies that one of the options provided will be a perfect match for the respondent’s gender identity and, therefore, requires the inclusion of an Other:_______ option.

On the other hand, Which of the following best represents your gender? implies only a best fit, so the use of a fill-in-the-blank Other option, while still advisable, is not required.

Next, consider the options provided. It is no longer acceptable to limit gender identity options to simply man and woman . Society’s understanding of gender identity has expanded, and research methods must reflect that.

In most instances, it is sufficient to limit options to the following categories:

• Prefer to self-describe:_______
• Prefer not to disclose

If you additionally have a need to know whether someone is transgender (e.g., in order to differentiate between cisgender men and transgender men, both of whom would select Man from the above options), ask a followup question:

Do you identify as transgender?

If you are conducting research for which a granular and inclusive capturing of one’s gender identity is necessary, consider using the following options to the first question and omitting the followup transgender question.

• Cisgender man
• Cisgender woman
• Transgender man
• Transgender woman
• Nonbinary person
• Genderqueer/genderfluid person
• Agender person
• Two-spirit person
• Intersex person
• Prefer to self-describe:______

Age is a common question in in user-research surveys, as age may correlate to distinct persona traits. Adhere to the following best practices when asking about age:

One recommended wording is:

How old are you? (single select)

• 17 or under

Race and Ethnicity

Like sex and gender, race and ethnicity are often confused but are different (race refers to physical traits; ethnicity refers to cultural identity and heritage).

Determine first which you care about. It is possible to formulate questions that ask about race only, about ethnicity only, or about both.

Additionally, be aware that many people identify with more than one racial and ethnic group and will be excluded if you force them to pick one. For this reason, use multiselect question formats for these questions.

How do you describe yourself? (multiselect)

• American Indian or Alaska Native
• Black or African American
• Native Hawaiian or Other Pacific Islander
• White or Caucasian
• Other:______

Just Ethnicity

Are you of Hispanic, Latinx, or of Spanish origin? (single select)

You can ask about both race and ethnicity separately, using the two questions above, or you can combine them into a single question:

How do you describe yourself? (multi-select)

• Hispanic or Latinx

Accessibility Needs and Disabilities

When asking about accessibility needs or disability, do so directly, using language used by the communities in question.

Do you have any of the following accessibility needs? (Select all that apply)

• Cognitive: such as dyslexia or ADHD
• Emotional: such as anxiety or depression
• Hearing: such as deafness or hearing loss
• Motor: such as cerebral Palsy or arthritis
• Visual: such as blindness or vision loss
• Other:________
• No, I don’t have any accessibility needs

Make sure to avoid language that implies negativity (e.g., Do you have diabetes? instead of Do you suffer from diabetes?; Do you use a wheelchair ? instead of Are you confined to a wheelchair? ).

Language Proficiency

Suppose you need to know about someone’s qualitative assessment of their own language proficiency. In that case, it is helpful to provide a brief description of each answer option to ensure understanding, particularly if the reader is less proficient with the language.

How would you describe your English language level (or proficiency)?

• Native / Mother-tongue: English is my first language
• Fluent: I can speak, read, and write in English fluently
• Proficient: I am skilled in English but not fluent
• Conversational: I can communicate effectively in English in most situations
• Basic knowledge: I have a basic knowledge of the language

Groves, R.M., Fowler Jr, F.J., Couper, M.P., Lepkowski, J.M., Singer, E., and Tourangeau, R. 2009. Survey Methodology . 2nd ed. Wiley.

Jarrett, C. 2021. Surveys That Work . Rosenfeld Media.

Kuha, J. and Jackson, J. 2014. The item count method for sensitive survey questions: modelling criminal behaviour. Journal of the Royal Statistical Society: Series C (Applied Statistics) 63, 2 (Feb. 2014), 321-341. Published by Oxford University Press.

Moore, J., Stinson, L., and Welniak, E. 1997. Income Measurement Error in Surveys: A Review. In Cognition and Survey Research, Sirken, M., Herrmann, D., Schechter, S., Schwarz, N., Tanur, J., and Tourangeau, R. (Eds.). Wiley, New York, 155-174.

smith, s.e. 2009. Beyond the Binary: Forms. Retrieved March 31, 2021, from meloukhia.net/2009/12/beyond_the_binary_forms/.

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POV: Sexual Pleasure Should Be Integrated into Scientific Research on Sexual Health

Aside from disease prevention, elements of sexual health, including pleasure and orgasm, don’t receive much research funding, limiting what’s known.

Photo via iStock/Prostock-Studio

Julia Bond (SPH’24)

In a splashy piece in 2022, the New York Times detailed what many doctors and medical researchers know, but rarely talk about: we really do not know enough about the clitoris. This component of female anatomy has been routinely overlooked and ignored by the medical establishment, despite its substantial role in sexual pleasure for many people. When asked why, the medical experts interviewed in the piece shared the same sentiment: female sexual pleasure has long been viewed as secondary to male sexual pleasure. Unnecessary, even frivolous. Why, then, would this organ, perceived by many to play no role beyond orgasm, be suitable for serious scientific research? I believe the deep-rooted ignorance of the clitoris is a good example of the consequences of a larger, pervasive problem in the field of medical research: the routine dismissal of sexual pleasure as something worth studying.

This year, the National Institutes of Health (NIH), the largest funder of scientific research in the United States, will allocate an estimated $388 million towards the study of sexually transmitted diseases. This is a critical effort, particularly as cases of some sexually transmitted infections have increased in recent years. But the risk of sexually transmitted infections is just one component of sexual health. In 2022, the World Health Organization published an updated definition of sexual health, defining it as more than just the absence of disease. Their definition includes the “possibility of having pleasurable and safe sexual experiences.” Elements of sexual health beyond disease prevention, including pleasure, orgasm, or even pain, do not receive much research funding, which limits what is known.

In addition to little funding, sexual health research is also curtailed by scientists themselves. Researchers are impacted by cultural influences. Across different cultures, it is common for sex and sexual pleasure to be considered a taboo topic. Researchers’ discomfort with topics related to sexual pleasure poses real barriers to the meaningful study of sexual health. If someone is uncomfortable even saying the word “orgasm,” how can they effectively research the full range of human sexual experience?

The lack of scientific research focused on the positive elements of sexual behavior, including pleasure and orgasm, has real consequences. Beyond the ignorance of female sexual anatomy, research also suggests that public health programs that incorporate sexual pleasure might work better. Downplaying or ignoring pleasure may result in less successful efforts to promote sexual health. A narrow research focus on the risk of sexually transmitted infections can also obscure other important issues that are deeply relevant to people, including sexual dysfunction, which is estimated to affect 40 percent of women and 30 percent of men in the United States. The stigma against discussing sexual pleasure and pain also pervades medical care. Research shows that people experiencing sexual health issues often do not discuss them with their providers and providers do not routinely ask about them. This contributes to the often years-long wait that many people experiencing chronic pelvic pain conditions, like endometriosis, experience before receiving a diagnosis.

I believe that scientific and medical research that aims to improve sexual health should incorporate a sex-positive lens. By this, I mean taking into consideration the many reasons people may have sex, including interpersonal connection, pleasure, and joy. This is the focus of a recent commentary I published in the American Journal of Epidemiology , alongside Dr. Jessie Ford of Columbia Mailman School of Public Health. We emphasize that sexual pleasure is important to many people, and therefore should be integrated into scientific research on sexual health. This could help public health research be more aligned with people’s lived experiences, in which pleasure and connection are often central to sexual experiences. In an era where humans have gone to the moon, the intricacies of the clitoris should not be a mystery. Scientific researchers have the potential, and, I would argue, the responsibility, to help bring sexual pleasure out of the darkness, and into the light.

Julia Bond (SPH’24), a research associate in epidemiology at Boston Medical Center, can be reached at [email protected] .

“POV” is an opinion page that provides timely commentaries from students, faculty, and staff on a variety of issues: on-campus, local, state, national, or international. Anyone interested in submitting a piece, which should be about 700 words long, should contact John O’Rourke at [email protected] . BU Today reserves the right to reject or edit submissions. The views expressed are solely those of the author and are not intended to represent the views of Boston University.

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• Public Health
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Julia Bond (SPH’24) Profile

Julia Bond (SPH’24), a research associate in epidemiology at Boston Medical Center, can be reached at [email protected].

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How Wisconsin groups are mobilizing voters on Aug. 13 constitutional referendum questions

For the second time this year, Wisconsin voters will weigh in on two referendum questions put forward by Republican lawmakers.

And this time around — the first time referendums have appeared on an August primary ballot in Wisconsin — groups on both sides of the issue appear to be putting more effort into making sure voters understand what a "yes" or "no" vote means to mobilize voters in what could be a low-turnout election.

Voters Tuesday will see two questions asking whether the state Legislature should get the power to sign off on how the governor decides to spend federal funding. The governor currently has the power to accept and allocate those dollars without lawmakers' approval.

A “yes” vote on the first question would add an amendment to the state constitution prohibiting the Legislature from delegating its power to appropriate money, while a “no” vote would not add that.

Voting “yes” on the second question means changing the Wisconsin Constitution to require the governor to earn legislative approval — in the form of a joint resolution — before spending federal funds given to the state. A “no” vote would continue to allow the governor to accept and use federal funds without approval from lawmakers.

More: What to know about constitutional amendment questions going to Wisconsin voters in August

More: Wisconsin primary election guide for Aug. 13: Referendum questions, candidates, drop boxes, early voting

Wisconsin voters generally support constitutional amendments when they're on the ballot. In state history, those referendums have passed about three out of four times. Republicans voted to put five referendum questions on the 2024 ballots, the most in a single year since 1982.

Two of those were approved by voters in April . About 54% and 59% of voters checked "yes" on the two questions, a majority that puts them into effect. The changes mean clerks can no longer use private donations and grants to administer elections.

The amendments’ outcomes will depend on how many Democrats or Republicans show up at the polls for other races on Tuesday. In northeastern Wisconsin, three Republicans are seeking to replace former U.S. Rep. Mike Gallagher, and in western Wisconsin, three Democrats are vying to oust Republican U.S. Rep. Derrick Van Orden.

“Turnout is going to be quite uneven across the state, just depending on whether there's something of interest that's really got voters' attention or not. That unevenness is probably going to determine whether these issues end up passing or not,” said Barry Buden, a political science professor at University of Wisconsin-Madison and director of the university's Elections Research Center. "These are big choices made by a relatively small number of folks."

On the Republican side, former Gov. Tommy Thompson weighs in

Republicans and conservative groups support voting "yes" on both questions, while Democrats and liberal groups encourage a "no" vote. When lawmakers voted to place the questions on the ballot, all Republicans voted for it and all Democrats voted against it.

A few weeks before the August election, Republican Party of Wisconsin chairman Brian Schimming was asked by reporters how the party is reaching voters and encouraging them to vote "yes."

"Our whole network of volunteers and staff across the state are quite aware and are publicizing the need for a 'yes' vote on both these questions," Schimming said. "My goal is to make sure every single Republican in the state knows that a 'yes' vote on both questions is the way to provide taxpayers accountability."

Schimming said Democrats are "panicked" about the amendments because it takes away their power to spend from a "slush fund," referring to billions of dollars in pandemic aid Gov. Tony Evers had the authority to spend. While Evers is a Democrat, the amendment would apply to all governors going forward, regardless of their party.

Former Republican Gov. Tommy Thompson also weighed in on the questions, arguing government works best when elected officials work together — in this case, the governor and Legislature coming to an agreement on how to spend federal funds.

"Should your representative — the person who goes door to door to hear and respond to the concerns of their constituents, the person working with and most responsive to local government officials and needs — have a role, as is the case for all other taxpayer spending, in directing immense amounts of federal aid(?)" Thompson wrote.

A top Republican in the state — Senate President Chris Kapenga of Delafield — acknowledged on social media that the amendment language is confusing and provided a lengthy explanation. Democrats responded that Republicans wrote and placed the questions on the ballot.

Democrats say changes would slow government response to emergencies

Democrats have argued the amendments will broadly affect federal funds and would introduce more red tape that would slow emergency funding for natural disasters or health crises.

The party has also bashed the amendments' language as deliberately confusing and intentionally scheduled for a low-turnout election.

Wisconsin's chief election official, Meagan Wolfe, told reporters Monday she expected turnout to be in the mid-teens to upper-20s percentage range. Another referendum question will go before voters in the Nov. 5 election, a high-turnout election that includes the presidential vote.

Democratic Party of Wisconsin chairman Ben Wikler said in a statement that the amendments are "aimed at cementing" Republicans' "extreme agenda into Wisconsin’s Constitution" and encouraged voters who "oppose far-right power grabs" to vote no.

"These amendments would do nothing but create more gridlock and dysfunction in Madison and make it harder for our state government to help first responders respond quickly to emergencies,” Wikler said. “Republican politicians, led by (Assembly Speaker) Robin Vos, are pushing misleading and risky constitutional amendments aimed at cementing their extreme agenda into Wisconsin’s Constitution."

Democrats have created a Vote No website and held press conferences across the state to encourage a "no" vote, including a virtual call with Dan Jacobs, the Milwaukee chef who was a finalist on "Top Chef: Wisconsin." It's another example of both parties using influencers to spread their message.

Democrats have increased their messaging since the April amendments in an effort to clarify the "misleading and confusing" language, said Joe Oslund, communications director for the Democratic Party of Wisconsin.

Evers himself has been outspoken on the referendums. During Vice President Kamala Harris and running mate Minnesota Gov. Tim Walz's rally in Eau Claire last week , Evers spent part of his speech encouraging the crowd of about 12,000 to vote "no."

"The Republican Legislature snuck two confusing constitutional amendments onto the ballot next Tuesday that will erode our state's checks and balances, and make it harder for me to do my job and other governors to do their job," Evers said.

More: Constitutional amendment questions on Wisconsin's August ballot could affect child care, providers warn

Both sides make arguments about checks and balances

Interestingly, both Republicans and Democrats argue their positions on the questions will preserve checks and balances of who holds power in state government.

Republicans say giving lawmakers approval over the funds puts the decision in the hands of representatives, who are closer to their constituents, and that the "power of the purse" belongs to the Legislature.

Democrats point out the governor has the sole discretion over federal funds, which is laid out in a law dating back to the 1930s, and say Republicans are attempting a "power grab."

Referendums have become increasingly partisan over the years and currently reflect Republicans’ frustration over losing control of the governor’s office and state Supreme Court, Burden said. Tuesday’s primary is the first time in state history that amendments have been on an August ballot. Previously, they’ve been put before voters exclusively in April or November.

“It reflects strategy by Republicans to find a time of year, of the four statewide elections that happen, that Republicans are going to be advantaged by having higher turnout,” Burden said, adding that legislators early on likely anticipated competitive Republican primaries for U.S. Senate and Gallagher’s open seat.

Burden said it’s not clear if Democrats or Republicans have an advantage, but that both parties’ messaging will be important to helping the average voter understand arcane legal language. 

“That makes the messaging more important, because followers of these conservative and liberal groups are likely to trust the messages they hear from those group leaders,” Burden said. “It’s a relatively small number of people making what seem like arcane decisions, which end up changing the state constitution somewhat permanently, a very difficult document to amend."