Research question examples (and how to write a good one)

Research question examples by type and by field, eight weak questions rewritten into strong ones, and a five-step method for writing your own.

By Strokes Team · · Academic · 13 min read

Key takeaways

  • Run every draft through six checks: focused, researchable, open, clear, feasible and worth answering. A question that asks “should” fails, since evidence cannot settle it.
  • Most weak questions need one of four repairs: add a population, add a place and time, swap a vague word like effective for something observable, or split two questions apart.
  • The type picks the method: descriptive questions need counting, causal ones a comparison group, interpretive ones close reading. Only causal questions must rule out other explanations.
  • Clinical questions often follow PICO, from a 1995 ACP Journal Club article: population, intervention, comparison and outcome, with PICOT adding time.
A student in a green jumper, pen to her lip, at a desk with a laptop, stacked books and a mug of coffee, her open notebook showing a column of crossed-out draft questions on the left page and an arrow to one highlighted question on the right.
Most research questions start as a pile of loose interests. The work is in the narrowing.
On this page
  1. What makes a research question strong
  2. Weak vs strong research questions
  3. Research question examples by type
  4. Research question examples by field
  5. Sub-questions, hypotheses and thesis statements
  6. Research questions for books and articles
  7. How to write your own research question
  8. Frequently asked questions

A research question is the one question a project sets out to answer. A good one is narrow enough that evidence can settle it and open enough that the answer is not a fact you could look up. "Is social media bad for teenagers?" is a topic with a question mark. "Among 13- to 15-year-olds in two school districts, is time spent on short-form video after 9 p.m. associated with shorter weeknight sleep?" is a research question.

What makes a research question strong

Writing centers and methods textbooks list much the same qualities. Run every draft through these six.

QualityAsk yourselfIt fails when
QualityFocusedAsk yourselfCan I name the population, the place and the time?It fails whenIt says "teenagers" or "the world"
QualityResearchableAsk yourselfIs there evidence I can get: data, sources, people?It fails whenIt asks "should", or needs data nobody will share
QualityOpenAsk yourselfDoes the answer take analysis, not a lookup?It fails whenOne fact or one statistic settles it
QualityClearAsk yourselfWould two readers define every term the same way?It fails whenIt leans on "effective", "success" or "impact"
QualityFeasibleAsk yourselfCan I answer it with my time, skills and budget?It fails whenIt needs ten years of data for a one-semester paper
QualityWorth answeringAsk yourselfWould anyone change a belief or a decision?It fails whenThe answer matters only to you
Six checks for any draft question, in any field.

Health research uses a version of this list called FINER, from Designing Clinical Research by Stephen Hulley and colleagues: feasible, interesting, novel, ethical, relevant. The ethical test applies well beyond medicine. If the only way to answer your question is data an ethics board would not approve, such as students' private messages, change the question.

Weak vs strong research questions

Each pair starts from a typical first draft. The repair is usually one of four moves: add a population, add a place and time, swap a vague word for something observable, or split two questions apart.

Too broad

Weak: How does climate change affect agriculture?

Strong: How have tart cherry growers in northwest Michigan changed the way they protect blossoms from spring frost over the past twenty years, and what decides which method they use?

One crop, one region, one risk and a time frame, each pointing to growers you can interview.
Answered by a search

Weak: What percentage of US adults have a library card?

Strong: What leads card-holding adults in a mid-sized city to stop visiting the library, and what brings some of them back?

The weak version is a statistic you look up and cite. The strong one needs interviews and produces an explanation.
A value judgment

Weak: Should schools ban phones?

Strong: In middle schools that require students to lock phones in pouches for the whole day, how did teachers' reports of classroom disruptions change over the first school year?

Evidence cannot settle a 'should'. Ask about an observable effect, then argue the 'should' in your discussion.
Vague terms

Weak: Is remote work effective?

Strong: On fully remote software teams, how does the number of time zones a team spans relate to how long code changes wait for review?

'Effective' could mean output, retention, cost or wellbeing. Choose one and say how you will measure it.
Two questions in one

Weak: How do social media and video games affect teenagers' grades and mental health?

Strong: Among ninth graders in one district, is weekday gaming time associated with first-semester grades after accounting for eighth-grade grades?

Two causes times two outcomes is four studies. Pick one pair and save the other for a later paper.
Assumes the answer

Weak: How has the harmful rise of fast fashion damaged local tailors?

Strong: How have independent alteration shops in one city changed the services they offer over the past fifteen years, and how do their owners explain the change?

'Harmful' and 'damaged' decide the result in advance. A neutral question lets the evidence point either way.
Too narrow

Weak: What did my 10 a.m. statistics section think of last Tuesday's quiz?

Strong: In introductory statistics sections at one university, do students who take weekly low-stakes quizzes score higher on the final exam than students who take monthly ones?

Nobody outside the room needs the first answer. Widen the group and pick an outcome that informs a decision.
Not feasible

Weak: How do US hospitals use AI in diagnosis?

Strong: How do radiologists at three regional hospitals decide whether to accept or override an AI tool's flag on a chest X-ray?

Nobody can study every hospital in a semester. Three sites and one task can be studied in depth.

Research question examples by type

The type of question decides the method. Descriptive questions need counting, causal ones need a comparison group, interpretive ones need close reading. Here is one topic, cycling to work in a mid-sized city, asked seven ways.

TypeIt asksExample
TypeDescriptiveIt asksWhat is happening, how much, how oftenExampleWhat share of commuters cycle to work weekly, and how does that change between summer and winter?
TypeComparativeIt asksHow groups or places differExampleHow do cycling rates differ between neighborhoods with protected lanes and those with painted ones?
TypeRelationalIt asksWhether two things move togetherExampleIs distance to the nearest protected lane associated with how often residents cycle to work?
TypeCausalIt asksWhether changing X changes YExampleDid bike counts on one street rise after a protected lane opened, compared with similar streets without one?
TypeExploratoryIt asksHow people experience or explain somethingExampleHow do new bike commuters describe their first month, and what makes some of them stop?
TypeEvaluativeIt asksWhether a program met its goalExampleDid the city's e-bike rebate reach the low-income households it was designed for?
TypeInterpretiveIt asksHow something is represented or understoodExampleHow do local news stories frame conflicts between drivers and cyclists?
Relational questions are also called correlational. Only the causal one needs a design that rules out other explanations.

Quantitative, qualitative and mixed methods

Quantitative questions name variables and a relationship between them. Qualitative questions usually open with how or what and leave room for answers you did not expect. Many methods texts advise against "why" here, since it hints at cause and effect. A mixed-methods study asks one of each and links them.

One topic, three designs

Quantitative: Among adults aged 65 and over in one county, is living alone associated with fewer primary care visits a year, after adjusting for income and chronic conditions?

Qualitative: How do adults over 65 who live alone decide when a health problem is worth a visit to the doctor?

Mixed methods: Ask both, and use the interviews to explain the pattern in the visit data.

PICO and SPIDER for health questions

Clinical and nursing research often writes questions to a template. PICO, set out by W. Scott Richardson and colleagues in ACP Journal Club in 1995, stands for population (or patient), intervention, comparison and outcome. PICOT adds time. For qualitative evidence, Alison Cooke, Debbie Smith and Andrew Booth proposed SPIDER in 2012: sample, phenomenon of interest, design, evaluation and research type.

A PICOT question

In adults aged 65 and over sent home after hip fracture surgery (P), does a nurse's phone call within 72 hours of discharge (I), compared with written instructions alone (C), reduce hospital readmissions (O) in the first 30 days (T)?

A SPIDER question

What do interview and focus-group studies (D) using qualitative methods (R) report about the experiences (E) of adult children (S) caring for a parent in the early stages of dementia (PI)?

Research question examples by field

Each set is scoped the way a class paper, thesis or article would scope it, with a note on what the questions share.

Education

Education
  • How do ninth-grade English teachers in one district change their take-home essay assignments after the school adopts an AI-use policy?
  • Do students in districts on a four-day school week score differently on state reading tests from comparable students on a five-day week?
  • What do first-generation college students say helped or hindered them in their first semester of online courses?
Each names a group, a setting and something you can observe, count or ask about.

Psychology

Psychology
  • Among first-year undergraduates, is phone use after 10 p.m. associated with self-reported sleep quality and next-day mood?
  • Does ten minutes of writing about an upcoming exam lower test anxiety scores compared with a neutral writing task?
The second is an experiment: one group writes about the exam, the other does a neutral task.

Nursing and public health

Nursing and public health
  • Is distance to the nearest pharmacy associated with how consistently adults over 60 in rural counties refill blood pressure medication?
  • How do community health workers decide which households to visit first when their caseload exceeds their hours?
Each names a measurable outcome (refill rates) or a specific decision (who gets a visit first).

Sociology and political science

Sociology and political science
  • How do food delivery couriers in Chicago decide which hours to work and which orders to accept?
  • When a county loses its last local newspaper, does the number of candidates running for county office change in the following elections?
Each turns a large debate (gig work, local news) into one group and one behavior.

Business and economics

Business and economics
  • How did small retailers inside Manhattan's congestion pricing zone, which began charging drivers on January 5, 2025, change their delivery schedules in the toll's first year?
  • Do subscription businesses that offer customers a pause option keep them longer than businesses that offer only cancellation?
A policy with a start date gives you a natural before-and-after comparison.

Environmental science

Environmental science
  • How does tree canopy cover on a city block relate to its peak afternoon surface temperature in July in Phoenix, Arizona?
  • How do coastal homeowners offered a government buyout after repeated flooding decide whether to accept it?
A method that works in Phoenix can be repeated in another hot city.

Computer science and technology

Computer science and technology
  • Do novice programmers fix planted bugs faster with an AI code assistant than without one, and can they explain the fix equally well afterward?
  • How do blind and low-vision people using screen readers work around inaccessible checkout pages on shopping sites?
Both measure people using a tool, not the tool's features.

History

History
  • How did Philadelphia's daily newspapers describe the influenza epidemic in the fall of 1918, and did their tone change as deaths rose?
  • What do the surviving letters of women homesteaders in Nebraska reveal about how their households managed debt?
Historical questions are bounded by surviving sources. Name the kind of document you will read.

Literature and media

Literature and media
  • How do Robert Walton's letters, which open and close Mary Shelley's Frankenstein (1818), shape how far a reader trusts Victor's account?
  • In Dickens's Bleak House (1852–53), what does Esther Summerson's first-person narrative notice that the present-tense narrator does not, and why does the novel need both?
  • How do book recommendation videos on TikTok describe the novels they promote, and which features (plot, tropes, the viewer's emotional reaction) come up most often?
Literary questions ask how a text works, not whether it is good. The last one brings the same close reading to a modern medium.

Walton's letters make Frankenstein a classic frame story, and questions about narrators and frames suit literature papers because the evidence is all on the page. For an argumentative essay, carry the question into an essay outline and let your thesis statement answer it.

Sub-questions, hypotheses and thesis statements

A thesis or dissertation usually has one main question and a few sub-questions, each mapped to a chapter or a strand of analysis. Together they should answer the main question. How many you need varies by field and program.

Master's thesis in urban planning

Main question: How did converting downtown office buildings to apartments in one mid-sized US city between 2020 and 2025 affect street-level shops on the surrounding blocks?

  1. Which buildings were converted, when, and how many homes did each add? (Descriptive, from permit records.)
  2. How did storefront vacancy on nearby blocks change compared with similar blocks without conversions? (Comparative, from vacancy data.)
  3. How do shop owners near converted buildings describe changes in their customers? (Exploratory, from interviews.)
Two quantitative sub-questions and one qualitative: a mixed-methods design where each answer feeds the main question.

In an IMRaD paper, the question closes the introduction and the methods section explains how you answer it (see this methodology section example). For a longer project, the guide to writing a dissertation shows how the question shapes each chapter.

The question comes first. A hypothesis predicts its answer, and a thesis statement argues for the answer once you have the evidence.

What it isExample
Research questionWhat it isWhat you ask before you knowExampleIs distance to a protected bike lane associated with how often residents cycle to work?
HypothesisWhat it isA testable prediction, mostly in quantitative workExampleResidents who live within 400 meters of a protected lane cycle to work more often than residents who live farther away.
Thesis statementWhat it isThe answer you argue forExampleProtected lanes raise cycling mainly among people who live a short walk from them, which favors a dense network over a few long routes.
Illustrations of form, not findings.

Research questions for books and articles

A nonfiction author, a reporter on a long feature or a novelist building a historical setting gets more from a short list of real questions than from a note that says "research the 1880s". The same rules apply: specific, answerable, tied to what a chapter needs.

Writers' research questions
  • Historical novel: What did a lighthouse keeper on the Maine coast do in a working day in the 1880s, hour by hour, and what do keepers' logs record?
  • Memoir: What work did people in my grandmother's village find in the ten years after the mill closed?
  • Feature story: Why did three bakeries on one street close within a year, and what do their leases and their former owners say about rent?
Each one tells you where to look: keepers' logs, town records, leases.

In Strokes, a book is a project folder with chapters as documents, so the questions can sit beside the draft as a to-do list. Add that document to a chat with the AI Assistant and ask it to test each question against the six checks above. Use it as a sparring partner, not a source: language models can cite papers that do not exist (an AI hallucination), so look up every reference yourself.

How to write your own research question

  1. Start from a topic you already know a little about

    Read two or three recent review articles or a textbook chapter to see what is settled and what is still argued over.

  2. Write down every question the reading raises

    Aim for ten rough questions. In recent papers, phrases such as "remains unclear" or "future research should" mark gaps others have noticed. Note sources as you go. An annotated bibliography saves you from finding them twice.

  3. Pick one and add boundaries

    Add who, where, when and which outcome, in one sentence ending in a question mark. If it needs a semicolon, it is probably two questions.

  4. Match the wording to a method you can carry out

    Decide what evidence would answer it: a dataset, a survey, interviews, an archive, a set of texts. If you cannot get it, change the question.

  5. Write down the answer you expect

    Draft a hypothesis or working thesis. If only one answer seems possible, the question is too simple or leading. If none does, it is too vague. Then run the checklist below, and expect the question to shift once you have read more.

Once the question holds up, build the paper around it with a research paper outline, and when the work is done, state the question in your abstract in a single plain sentence.

Frequently asked questions

How many research questions should a paper have?

A class paper usually needs one. A thesis or dissertation commonly has one main question and a few sub-questions, each answered by a chapter or a strand of analysis. Expectations differ by field and institution, so check the assignment brief or ask your supervisor.

Can a research question be a yes-or-no question?

In quantitative research, yes, when the yes or no comes from a test: 'Does a nurse's follow-up call reduce readmissions?' is a standard causal question. What fails is a yes-or-no question that one fact settles, such as whether a law exists. In qualitative and humanities work, how and what questions usually serve better.

Where does the research question go in a paper?

In fields that use the IMRaD structure (introduction, methods, results, discussion), at the end of the introduction, after the background and the gap in existing work. In humanities essays it usually appears early in the introduction as the problem your thesis statement answers.

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