Research Questions: 25 Examples Across Quantitative, Qualitative & Mixed Methods (2026)
A practical reference of 25 real-world research questions, organized by methodology, with the variables and study design called out for each.
Quick reference
A good research question is specific, focused, answerable, and significant. The format depends on your methodology: quantitative questions seek measurable relationships, qualitative questions explore meaning and experience, mixed methods combine both. Below are 25 real-world examples organized by research type, plus how citation analysis helps refine your question by revealing what's already been answered.
What makes a good research question
A widely used checklist in clinical and social-science methods training is the FINER criteria: a research question should be Feasible (answerable with the time, sample, and resources you have), Interesting (worth doing — to you and to the field), Novel (not already answered), Ethical (defensible to an IRB and to participants), and Relevant (the answer matters for theory, practice, or policy).
The most common failure mode is being too broad. “AI in education” is a topic, not a question. The same idea, made specific, becomes: How does adaptive AI tutoring affect math achievement in 8th-grade students from low-income districts? Now the population, the intervention, the outcome, and the comparison group are all clear — and a methods reviewer can extract the design from the question alone.
The second-most common failure mode is asking a question you can't actually answer in the time you have. A 12-month dissertation chapter cannot run a 5-year longitudinal cohort. Right-size early.
10 Quantitative Research Question Examples
Each question names independent and dependent variables and is phrased so the design follows directly from the wording.
- 1
STEM (Cognitive science)
What is the effect of caffeine dosage on short-term memory recall in healthy young adults?
- Independent variable
- Caffeine dose (0 mg, 100 mg, 200 mg)
- Dependent variable
- Number of words correctly recalled on a standardized list-learning task
- Methodology fit
- Experimental, between-subjects randomized trial with placebo control
- Sample size implication
- n ≈ 90–120 (30–40 per arm) for a medium effect size at 80% power
- 2
Education
How does a flipped classroom design affect end-of-semester GPA compared to traditional lectures in introductory statistics?
- Independent variable
- Course delivery format (flipped vs. traditional lecture)
- Dependent variable
- Final course GPA on a 4.0 scale
- Methodology fit
- Quasi-experimental, two-section comparison with pre-test covariate
- Sample size implication
- n ≈ 200 (two sections of ~100), or larger if section-level clustering is modeled
- 3
Public health
What is the relationship between daily social media use and self-reported anxiety in U.S. adolescents aged 13–17?
- Independent variable
- Hours of daily social media use
- Dependent variable
- Generalized Anxiety Disorder–7 (GAD-7) score
- Methodology fit
- Correlational survey with multivariable regression
- Sample size implication
- n ≈ 1,000+ for stable regression estimates with demographic covariates
- 4
Economics
How does a $1 increase in the local minimum wage affect quarterly hiring rates at small businesses (<50 employees)?
- Independent variable
- Local minimum-wage change (continuous, dollars)
- Dependent variable
- Quarterly hiring rate per establishment
- Methodology fit
- Difference-in-differences using payroll data from treated and control counties
- Sample size implication
- Several thousand establishment-quarter observations across matched counties
- 5
Computer science
How does model parameter count affect inference latency for transformer-based LLMs serving 256-token requests on a single A100 GPU?
- Independent variable
- Model size (e.g., 1B, 7B, 13B, 70B parameters)
- Dependent variable
- Median tokens-per-second at fixed batch size
- Methodology fit
- Controlled benchmark with fixed hardware, prompt length, and batch size
- Sample size implication
- 1,000+ requests per model to stabilize the median; multiple seeds for variance
- 6
Psychology
Does a brief mindfulness intervention reduce stress reactivity, as measured by cortisol response to a public-speaking task?
- Independent variable
- Intervention condition (10-minute mindfulness vs. neutral control)
- Dependent variable
- Salivary cortisol AUC during the Trier Social Stress Test
- Methodology fit
- Experimental, between-subjects with random assignment
- Sample size implication
- n ≈ 80–100 to detect a moderate group difference
- 7
Marketing
How does product-page video length influence add-to-cart conversion on a direct-to-consumer e-commerce site?
- Independent variable
- Video length (15s, 30s, 60s, 90s)
- Dependent variable
- Add-to-cart rate per session
- Methodology fit
- A/B/C/D test with random session-level assignment
- Sample size implication
- Power analysis driven by baseline conversion rate; typically 25,000+ sessions per arm
- 8
Environmental science
What is the relationship between urban tree canopy coverage and summertime peak surface temperature in mid-sized U.S. cities?
- Independent variable
- Percent canopy coverage (block-group level)
- Dependent variable
- Mean July land-surface temperature (°C) from satellite data
- Methodology fit
- Cross-sectional spatial regression with controls for impervious surface
- Sample size implication
- Several thousand block groups across 20–30 cities
- 9
Sports science
Does plyometric training over eight weeks improve vertical jump height more than equivalent-volume traditional resistance training in collegiate athletes?
- Independent variable
- Training program (plyometric vs. resistance)
- Dependent variable
- Counter-movement jump height (cm), pre/post
- Methodology fit
- Pre-/post randomized controlled trial
- Sample size implication
- n ≈ 40–60 athletes (20–30 per arm)
- 10
Healthcare
How does the introduction of a same-day discharge protocol affect 30-day readmission rates after elective laparoscopic cholecystectomy?
- Independent variable
- Discharge protocol (same-day vs. overnight stay)
- Dependent variable
- 30-day all-cause readmission
- Methodology fit
- Retrospective cohort with propensity-score matching
- Sample size implication
- Several thousand matched cases across multiple hospitals
10 Qualitative Research Question Examples
Qualitative questions ask how and why instead of how much. Each example below pairs a question with the phenomenon being studied and the methodological approach that fits it.
- 1
Sociology
How do first-generation college students describe their experience navigating institutional bureaucracy at large public universities?
- Focus of inquiry
- Lived experience, identity, institutional friction
- Methodology fit
- Semi-structured interviews; thematic analysis
- Sample size implication
- 20–30 participants until thematic saturation
- 2
Anthropology
What meanings do members of a fishing cooperative in coastal Maine attach to changes in lobster catch over the past two decades?
- Focus of inquiry
- Cultural meaning, environmental change, livelihood
- Methodology fit
- Ethnographic fieldwork with participant observation and interviews
- Sample size implication
- 12–24 months of fieldwork; 25–40 interlocutors
- 3
Education
How do middle-school teachers describe their decision-making when adopting (or rejecting) generative-AI tools in their classrooms?
- Focus of inquiry
- Professional reasoning, technology adoption, classroom practice
- Methodology fit
- Phenomenological interviews; constant-comparative coding
- Sample size implication
- 15–25 teachers across schools and districts
- 4
Public policy
How do unhoused residents in a mid-sized city understand and engage with the eligibility process for permanent supportive housing?
- Focus of inquiry
- Bureaucratic experience, access barriers, agency
- Methodology fit
- In-depth interviews with member-checking; complemented by case-file review
- Sample size implication
- 20–30 residents and 5–10 caseworkers
- 5
UX research
What mental models do new users form when encountering an AI chatbot interface for the first time, and how do those models evolve across three sessions?
- Focus of inquiry
- Mental models, trust formation, interaction repair
- Methodology fit
- Think-aloud usability studies with longitudinal follow-up
- Sample size implication
- 8–12 participants across three sessions each
- 6
Health (patient experience)
How do patients with newly diagnosed type 2 diabetes describe their first three months of self-management?
- Focus of inquiry
- Illness narrative, behavior change, support needs
- Methodology fit
- Narrative interviews; thematic analysis
- Sample size implication
- 15–25 patients sampled for diversity in age and ethnicity
- 7
Organizational behavior
How do remote-first software engineers describe boundaries between work and home, and what strategies do they use to enforce them?
- Focus of inquiry
- Boundary management, remote work culture
- Methodology fit
- Semi-structured interviews; framework analysis
- Sample size implication
- 20–30 engineers across organizations
- 8
Community studies
How do residents of a neighborhood undergoing rapid gentrification describe changes to their sense of place and belonging?
- Focus of inquiry
- Place attachment, displacement, community identity
- Methodology fit
- Interviews + walking tours + photo-elicitation; thematic + spatial analysis
- Sample size implication
- 20–30 residents with diverse tenure lengths
- 9
Cultural studies
How do contemporary K-pop fan communities outside Korea construct authenticity around language, ritual, and merchandise?
- Focus of inquiry
- Subcultural authenticity, transnational fan practice
- Methodology fit
- Digital ethnography across platforms; discourse analysis of fan posts
- Sample size implication
- Multi-platform observation over 6–12 months; ~30 in-depth interviews
- 10
Linguistics
How do bilingual Spanish-English speakers in the U.S. Southwest describe code-switching as an act of identity in workplace settings?
- Focus of inquiry
- Language ideology, identity, workplace interaction
- Methodology fit
- Sociolinguistic interviews + recorded workplace interactions; conversation analysis
- Sample size implication
- 10–20 participants with paired interaction recordings
5 Mixed Methods Research Question Examples
Mixed methods questions explicitly ask both a measurable and a meaning-based sub-question, and name how the two strands integrate.
- 1
Healthcare access
How does telehealth adoption affect chronic-disease management outcomes among rural patients, and how do those patients experience telehealth visits?
- Quantitative strand
- Cohort comparison of HbA1c and blood-pressure control in telehealth vs. in-person patients
- Qualitative strand
- Semi-structured interviews with rural patients about access, trust, and continuity
- Integration design
- Explanatory sequential — quant first, then qual to explain unexpected outcome differences
- 2
Education intervention
Does a peer-mentoring program improve first-year retention at a regional university, and how do mentees and mentors describe what made it work (or not)?
- Quantitative strand
- Quasi-experimental retention comparison with propensity-score matched controls
- Qualitative strand
- Focus groups with mentees and mentors at the end of the academic year
- Integration design
- Convergent — both strands run in parallel and are merged in interpretation
- 3
Workplace culture
How does a four-day workweek affect employee productivity and well-being, and how do employees describe the changes in their daily work?
- Quantitative strand
- Pre-/post comparison of output metrics, hours, and validated well-being scales
- Qualitative strand
- Diary studies + interviews focused on time use, focus, and recovery
- Integration design
- Convergent — quantitative metrics validated and contextualized by lived experience
- 4
Technology adoption
What predicts adoption of a new electronic health record (EHR) module among nurses, and how do early and late adopters narrate their decision?
- Quantitative strand
- Adoption curve modeled with logistic regression on nurse-level features
- Qualitative strand
- Comparative case interviews with early, mid, and late adopters
- Integration design
- Explanatory sequential — quant identifies adopter segments, qual explains why
- 5
Community development
How does a participatory-budgeting program affect civic engagement in a mid-sized city, and how do participants describe their sense of political efficacy?
- Quantitative strand
- Pre-/post survey of civic engagement indicators; turnout deltas in pilot vs. control wards
- Qualitative strand
- Interviews with participants, organizers, and non-participants
- Integration design
- Convergent — survey trends triangulated with first-person accounts of efficacy
How citation maps help refine your research question
Most research questions die from the same wound: someone has already answered them. A citation map is a fast way to find that out before you spend a semester on a study that duplicates work in another lab. Here is the three-step workflow we see researchers use most.
- 1
Convert your question into 3–5 candidate seed authors
Identify the names that appear repeatedly when you read the most-cited papers on your topic. These are the seeds — the people whose citation network defines your subfield.
- 2
Generate a citation map for each seed
A citation map shows where each seed's work has been cited — the institutions, the countries, and the temporal distribution of citations. Run a map for each of your 3–5 seeds and put them side by side.
- 3
Identify the gaps your question can fill
Three gap types tend to surface: geographic (a region the literature doesn't reach), temporal (a question that has lost recent attention but is now timely again), and methodological (most studies use one design; yours uses another).
Concrete example: if you generate a citation map for a leading deep-learning researcher such as Geoffrey Hinton, you will see dense clusters in the U.S., U.K., Canada, and parts of Europe and East Asia, with much sparser engagement in many lower-income regions. A research question framed as “how do under-represented populations experience or evaluate adaptive learning systems trained on this lineage of work?” targets a gap the citation map made visible. That is the kind of move reviewers reward.
Browse the showcase for example citation maps across fields, or jump to the literature-review workflow for the full step-by-step.
Frequently asked questions
What's the difference between a quantitative and qualitative research question?+
A quantitative research question asks about measurable relationships — how much, how often, how strong, what is the difference between groups. It usually names independent and dependent variables and points toward statistical analysis. A qualitative research question asks about meaning, experience, or process — how do people interpret X, what does Y look like in context, why do participants do Z. It points toward interviews, ethnography, or document analysis instead of statistics. Both can be rigorous; the difference is what counts as an answer.
How specific should a research question be?+
Specific enough that two readers would extract the same study design from it. "AI in education" is a topic, not a question. "How does adaptive AI tutoring affect math achievement in 8th-grade students from low-income districts?" is a research question — the population, the intervention, the outcome, and the comparison are all clear. The acid test: can a methods reviewer identify the variables, the unit of analysis, and the broad design from the question alone? If yes, it's specific enough.
Can a research question evolve during the project?+
Yes, especially in qualitative and exploratory work. Grounded theory, ethnography, and many design-based research traditions assume the question will sharpen as data come in. Even in tightly designed quantitative studies, the question often gets refined after a pilot. What you should not do is silently swap one question for another after results come in — that's HARKing (hypothesizing after results are known). Document the original question and the rationale for any change, especially before pre-registration.
How do I know if my question has already been answered?+
Three layers of search. (1) A focused literature review of the last 10 years using Google Scholar and a domain database. (2) A citation-map view of the seed authors central to your topic — this surfaces who is currently working on it and where, including labs you might miss in keyword searches. (3) A reverse-citation check on any paper that looks too close to your question — read who cites it to see whether someone has already moved a step beyond. If, after all three, no paper directly answers your specific question for your specific population, you have a research question.
Should research questions include hypotheses?+
A hypothesis is a directional prediction about the answer to a quantitative research question. They go together but are not the same thing. A research question opens the inquiry; a hypothesis stakes a claim about what you expect to find. Most quantitative methods sections present both. Qualitative work often has research questions but not hypotheses, because the goal is to characterize a phenomenon rather than test a prediction. Mixed-methods work typically has hypotheses on the quantitative strand and open-ended questions on the qualitative strand.
How many research questions should a paper have?+
One primary research question and, optionally, one to three subsidiary questions that decompose it. A paper with five top-level questions usually means there are two papers in the manuscript. Reviewers and readers anchor to the primary question — it should be answerable from the data, defensible from the methods, and stated identically in the abstract, introduction, and discussion. If you have a thesis with multiple chapters, each chapter can carry its own primary question.
Find out who's answered similar questions
Generate a citation map for a leading author in your field — see the clusters, the gaps, and the openings your research question can claim.
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