How to Write Research Questions: Types, Characteristics, and 20 Examples

Why Your Research Question Is the Most Important Sentence of Your Thesis

Every strong study starts with a single well-written sentence: the research question. It decides what literature you read, which method you choose, what data you collect, and how you structure your entire thesis or dissertation. Get it right, and the rest of the journey feels like following a map. Get it wrong — too vague, too broad, or impossible to answer — and you will wander for months.

Yet most students treat the research question as an afterthought, something to fill in on the proposal form. In this guide, you will learn what makes a good research question, the main types you will meet in academic research, a step-by-step process for writing one, a fully worked example, the mistakes to avoid, and 20 ready-to-adapt examples across different fields.

What Makes a Good Research Question? The Key Characteristics

A well-written research question is not just any question. Researchers commonly check their questions against criteria captured by the FINER framework, and it is a handy checklist for your own work:

  • Feasible: You can actually answer it with the time, resources, data, and skills available to you.
  • Interesting: It matters to you, your supervisor, and your academic community — you will live with this question for months.
  • Novel: It addresses a gap in the existing literature instead of repeating what is already settled.
  • Ethical: It can be answered without harming participants or violating ethical standards.
  • Relevant: The answer has some practical or theoretical value — it moves the field forward, even a little.

Beyond FINER, a good research question is also clear (one question, not three hiding in a trench coat), focused (narrow enough for one study), and answerable through evidence — it can be addressed by collecting and analyzing data, not by pure opinion.

The 5 Main Types of Research Questions

Different studies need different kinds of questions. Here are the five types you will encounter most often:

1. Descriptive questions

These ask what something looks like — they describe characteristics, frequencies, or situations without comparing or testing relationships.
Example: What are the main coping strategies used by first-year medical students during exam periods?

2. Comparative questions

These compare two or more groups, situations, or time periods to find differences.
Example: How do study habits differ between undergraduate and postgraduate students in public universities?

3. Relationship-based (correlational) questions

These ask whether two variables are associated — without claiming one causes the other.
Example: What is the relationship between social media use and sleep quality among university students?

4. Causal (experimental) questions

These ask whether one thing causes a change in another, and they require a design that can test cause and effect.
Example: What is the effect of spaced-repetition flashcards on vocabulary retention in language learners?

5. Evaluative questions

These judge how well something works — a policy, program, or intervention.
Example: How effective is the university’s writing-support program in improving thesis completion rates?

How to Write Research Questions: 7 Steps

Follow this process in order. It works for MPhil dissertations, PhD theses, and research articles alike.

Step 1: Start with your research problem, not the question

A question comes from a problem. Write one paragraph describing the issue or gap you have noticed: what is happening, for whom, and why does it matter? If you cannot explain the problem plainly, you are not ready to ask the question.

Step 2: Do a quick scan of the literature

Read 10–15 recent papers or reviews on the topic. Look for sentences like “further research is needed” — gaps announce themselves. This also shows you how established scholars phrase questions in your field, which you can mirror.

Step 3: Narrow the scope with specifics

Broad topic: “student mental health.” Narrowed: “anxiety among final-year undergraduate students at public universities in one province.” Name the who (population), the what (phenomenon or variables), and, where relevant, the where (setting) and when (time frame).

Step 4: Choose the question type that fits your goal

Match your type to your aim: describing (descriptive), comparing (comparative), finding associations (relationship-based), testing effects (causal), or judging effectiveness (evaluative). Your question type quietly dictates your whole methodology — pick it before you pick your method.

Step 5: Draft the question in one clean sentence

Use a question word that matches your type: what and how for descriptive and qualitative work; what is the relationship between for correlational work; what is the effect of X on Y for experimental work. Name your variables explicitly.

Step 6: Test the draft against FINER and the three Cs

Run the FINER checklist above, then ask: Is it clear (would a reader outside your department understand it)? Concise (can it be read aloud in one breath)? Answerable (could you realistically collect the data to answer it)? If any answer is no, revise.

Step 7: Refine with your supervisor

Take your best two or three versions to your supervisor. A five-minute conversation with someone who knows the literature can save you five months of wandering. Treat your question as a draft until your supervisor signs off on it.

Worked Example: From Vague Topic to Polished Question

Watch how a weak idea becomes a strong question across four passes:

  • Pass 1 (topic): “I want to study online learning.” — Not a question at all, just a topic.
  • Pass 2 (vague question): “Is online learning good for students?” — Too broad, “good” is undefined, and it hides three questions inside one.
  • Pass 3 (narrowed): “What is the relationship between online learning hours and exam performance among undergraduate business students?” — Better: population, variables, and a relationship-type structure are all visible.
  • Pass 4 (final): “What is the relationship between weekly hours of synchronous online classes and final exam scores among second-year undergraduate business students at public universities?” — Clear, focused, measurable, and feasible for a single study.

Notice what changed each time: we added a defined population, named measurable variables, matched the wording to the question type, and kept it small enough to actually answer.

Common Mistakes to Avoid

  • Asking a yes/no question. “Does social media affect students?” can be answered with one word. Reframe it: “How does daily social media use affect the study habits of university students?”
  • Burying two questions in one. “What causes anxiety in PhD students and how can universities fix it?” is two studies. Split them.
  • Using unmeasurable terms. Words like “better,” “good,” or “effective” need a definition and a measure — whose definition, measured how?
  • Picking a question you cannot answer. A question needing ten years of longitudinal data or a million-dollar lab is a question for someone else’s career, not your thesis.
  • Writing the question after collecting data. Your question should guide data collection, not be reverse-engineered from it — that is how bias creeps in.
  • Making it a leading question. “Why is remote work bad for productivity?” assumes the answer. Stay neutral: “What is the effect of remote work on team productivity?”

20 Research Question Examples You Can Adapt

Use these as templates — swap in your own variables, population, and setting.

Descriptive questions

  1. What are the most common challenges faced by international students during their first semester abroad?
  2. How do primary school teachers describe their experience with inclusive classroom practices?
  3. What types of feedback do journal reviewers give most frequently to first-time authors?
  4. How do small business owners in rural areas use digital marketing tools?

Comparative questions

  1. How do learning outcomes differ between students in flipped classrooms and those in traditional lectures?
  2. What differences exist in job satisfaction between remote and on-site employees in the banking sector?
  3. How does patient recovery time compare between two post-surgical care protocols?
  4. Do urban and rural schools differ in access to science laboratory facilities?

Relationship-based questions

  1. What is the relationship between daily screen time and academic performance among high school students?
  2. Is there an association between employee training hours and customer satisfaction ratings?
  3. How does parental involvement relate to children’s reading achievement in early grades?
  4. What is the relationship between sleep duration and workplace productivity among shift workers?

Causal questions

  1. What is the effect of a six-week mindfulness program on test anxiety among university students?
  2. Does peer tutoring improve mathematics scores among struggling secondary school students?
  3. How does fertilizer type affect wheat yield per hectare in semi-arid regions?
  4. What is the impact of flexible working hours on employee retention in software companies?

Evaluative questions

  1. How effective is the national literacy program in improving reading scores in public schools?
  2. To what extent does the university’s career counseling service help graduates find relevant employment?
  3. How successful has the community health awareness campaign been in increasing vaccination rates?
  4. What is the impact of the new teacher training curriculum on classroom teaching quality?

Frequently Asked Questions

How long should a research question be?
One sentence, ideally under 30 words. If it needs two sentences, it is probably two questions — split it.

Can I have more than one research question?
Yes. Most theses have one main question plus two or three sub-questions that break it into answerable parts. Keep every sub-question aligned with the main one.

Should my research question include my variables?
For quantitative studies, yes — name them explicitly so the reader can see what you will measure. For qualitative studies, name the phenomenon and the population instead.

Can I change my research question later?
You can refine the wording as your understanding deepens, but avoid changing the core question after data collection has begun. Any significant change should be discussed with your supervisor and documented.

What is the difference between a research question and a hypothesis?
A research question asks what you want to find out; a hypothesis is your tentative, testable answer to it. Not every study needs a hypothesis — descriptive and exploratory qualitative studies often work with questions alone.

Final Takeaway

A good research question is clear, focused, feasible, and honest about what one study can answer. Write it early, test it against the FINER checklist, match its type to your methodology, and let it steer every decision that follows. Spend a week getting this one sentence right, and your thesis will practically write its own outline.

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