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Psychology IA Research Question Generator

Use the tabs below to generate a new Psychology IA idea or evaluate your current research question.

Sample Psychology IA Topic Ideas

Browse these sample topics to get inspired, or scroll up to generate your own custom ideas based on your specific interests.

Easy

What is the effect of one night of partial sleep deprivation on working memory capacity as measured by digit span performance in high-school students?
Suggested Approach
Start by framing your research question exactly as given: “What is the effect of one night of partial sleep deprivation on working memory capacity as measured by digit span performance in high-school students?” In your introduction explain the relevant theory (e.g., sleep and cognitive consolidation, models of working memory) and why digit span is an appropriate operationalisation of working memory. State a clear aim and give both a null and an experimental hypothesis that match the question (for example, no change vs. decreased digit span after partial sleep deprivation). Define your key variables precisely (independent variable: sleep condition—normal vs. one night of partial deprivation; dependent variable: digit span score), and explain the ethical considerations for working with minors (parental consent, assent, right to withdraw, debriefing, monitoring for safety) and how you will document them in the appendix.
For the exploration and method, describe a feasible sampling and design choice and justify it. A repeated-measures (within-subjects) design with counterbalancing or a matched-pairs design will increase power and control individual differences; state why you chose one and how you will implement it (e.g., schedule sessions a week apart, randomise condition order). Detail participant selection (age range, inclusion/exclusion criteria), control variables (caffeine intake, time of day, prior sleep history), standardised testing procedure for digit span (instructions, practice trials, scoring rules), and materials (digit lists, stopwatch, consent forms). Include a step-by-step description of data collection so an examiner could replicate the study and note that all forms and raw data go in the appendix.
In analysis and write-up, plan descriptive statistics (means, SDs) and appropriate inferential tests (paired-samples t-test for within-subjects or independent-samples t-test if between groups; check assumptions and consider non-parametric alternatives). Present results with labelled tables and graphs and provide clear written interpretation linking numbers to the hypothesis. Discuss limitations (sample size, ecological validity of partial sleep deprivation, practice effects), link findings back to theory in the evaluation, and propose concrete improvements. Finally, ensure the IA follows the required structure (title page, TOC, Introduction, Exploration, Analysis, Evaluation, References, Appendix), uses consistent citation style, and keeps word count and assessment criteria in mind when drafting each section.

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Similar Examples
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The Working Memory Model. Does the length of a word have an effect on short-term memory?

Easy

How does the presence of upbeat versus instrumental background music affect Stroop interference (selective attention) scores in adolescents?
Suggested Approach
Start by framing your work clearly: open your introduction with the theoretical background linking selective attention, the Stroop effect, and how background music might influence cognitive control (arousal theory, attentional load or distraction hypotheses). State your research question exactly as given and explain why it is testable and relevant for adolescents. Write a concise aim and list both the null and alternative hypotheses that follow directly from the research question (for example, no difference versus a difference in Stroop interference scores between upbeat and instrumental music). Keep the literature review brief but focused—cite 2–4 key studies about music and attention, and explain how they justify your variables and predicted direction of effect; place full citations in References. Stick to the IA word limit by making this section purposeful and avoiding broad thematic discussion.
In Exploration, describe a clear, ethical, and replicable method that fits the research question. Recommend a within-subjects (repeated measures) design so each adolescent completes Stroop trials in both conditions (upbeat and instrumental), counterbalancing order to control practice and fatigue effects; if you choose independent groups, justify why. Specify sampling (age range, sample size target with a simple power rationale or practical justification), recruitment method (opportunity or stratified if needed), inclusion/exclusion criteria, and consent/debrief procedures for minors and guardians. List materials precisely: Stroop stimuli, timing software or app, specific music tracks with BPM and volume level, headphones, and stopwatch. Define and justify control variables (song volume, headphone type, task instructions, lighting, time of day, and prior music exposure), and include ethics documentation and participant instructions in the Appendix.
For Analysis and write-up, plan descriptive statistics (means, SDs) and appropriate inferential tests (paired t-test or Wilcoxon signed-rank for repeated measures; independent t-test or Mann-Whitney for between-subjects), check assumptions, report effect sizes and confidence intervals, and include labeled tables/figures with captions. Explain how to interpret results in relation to the research question and the theoretical models you introduced. In Evaluation, candidly discuss limitations (sample, ecological validity, music familiarity) and suggest precise improvements. Follow the IA structure: Title page, Table of Contents, Introduction, Exploration, Analysis, Evaluation, References and Appendix; keep all extra materials (raw data, consent forms, full stimuli, calculations) in the Appendix to support transparency and marking criteria.

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Medium

To what extent does normative social conformity (Asch-style group pressure) influence line-length judgments among peer groups in a classroom setting?
Suggested Approach
Begin by grounding your introduction in the psychological theory and the exact research question: To what extent does normative social conformity (Asch-style group pressure) influence line-length judgments among peer groups in a classroom setting? Explain normative social influence and Asch’s original findings succinctly, then justify why a classroom peer-group context matters for ecological validity. State the aim clearly as an investigation of the size and direction of conformity effects in your sample, then present both a null hypothesis (no difference between individual and group-influenced responses) and a directional research hypothesis (group pressure will increase incorrect conformity responses). On the title page and in the table of contents include the required IA elements (title phrased as an investigation, candidate details, word count, and sections for Introduction, Exploration, Analysis, Evaluation, References, Appendix) so your examiner can follow your structure immediately.
Design your Exploration section so it is transparent and replicable. Choose a sampling technique that balances practicality and representativeness (for example an opportunity sample of classmates, with clear inclusion criteria), and justify it in relation to ethical and logistical constraints. Use a repeated-measures or matched design to compare each participant’s baseline line-length judgments (private condition) with their responses under Asch-style peer pressure (group condition) to reduce between-subject variability; describe all control variables (standardized stimuli, instructions, room layout, confederate behavior scripted) and list materials explicitly. Document ethical procedures: informed consent, right to withdraw, confidentiality, and a debrief that explains deception and offers support; include consent forms and debrief in the appendix. Keep your procedure concise and repeatable (timings, exact phrasing, number of trials, role of confederates).
Plan the Analysis and Evaluation around clarity and IB assessment criteria. Present descriptive statistics (means, SDs, frequency of conforming responses) and appropriate inferential tests (paired t-test or Wilcoxon signed-rank depending on normality) with labeled tables and graphs, each followed by concise interpretation linking results to your hypotheses. In Evaluation, discuss internal and external validity, ethical trade-offs of using deception, sampling limitations, effect sizes, and how procedural changes could improve reliability and generalizability; ground this discussion in the theory introduced earlier. Finish with a full reference list in a consistent citation style and include raw data, stimuli, scripts, consent forms, and statistical calculations in the appendix so your IA is transparent, well-supported, and easy for the examiner to verify.

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Medium

What is the effect of stereotype threat on female students' performance on a timed mathematics reasoning test?
Suggested Approach
Start by grounding your Introduction in the relevant psychological theory and clearly state the research question exactly as given: “What is the effect of stereotype threat on female students' performance on a timed mathematics reasoning test?” Briefly summarise the stereotype threat literature (key studies, mechanisms such as working memory depletion and self-monitoring) and explain why it applies to math performance in female students. State a clear aim and present both a null and directional research hypothesis linked to the research question. Include a short rationale for your target sample (age, education level) and justify why a timed mathematics reasoning test is an appropriate operationalisation of the dependent variable. Keep citations in a consistent style (APA is common) and list full references at the end of the IA; include the candidate details, word count and other title page requirements before moving to the Exploration section.
In the Exploration and Methods section, describe a controlled experimental design that directly manipulates stereotype threat (for example, a threat condition where participants are told the test reveals gender differences versus a control condition where the test is described as gender-neutral). Use random assignment to conditions and state your sampling technique (opportunity or convenience) and sampling size with a short power rationale if possible. List materials precisely (test items, timing software, instruction scripts), all control variables (same instructions, testing environment, time limit), and include consent and debrief forms in the appendix to demonstrate ethical practice. Explain operational definitions (how you scored the test), show how you controlled demand characteristics and experimenter effects (standardised scripts, blind scoring), and note any exclusion criteria. Provide raw data in the appendix and show how you handled missing data and outliers.
For Analysis and Evaluation, present descriptive statistics first (means, SDs, plotted distributions) and then the appropriate inferential test (independent-samples t-test or non-parametric equivalent) with effect size and confidence intervals, checking assumptions and reporting exact p-values. Place tables and labelled figures in the Analysis section and interpret them in relation to the research hypothesis. In Evaluation, link findings back to theory, discuss internal and external validity, sample limitations, ethical considerations, and propose realistic modifications (e.g., larger, more diverse sample, alternative manipulations) while explaining how each change would improve the study. Finish by reflecting on the educational and theoretical implications of your results and ensure all supplementary material (consent forms, instructions, raw data, calculations) is included in the appendix and fully referenced.

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Easy

How does exposure to a high numerical anchor versus a low numerical anchor influence participants' numerical estimation of an unfamiliar quantity (anchoring effect)?
Suggested Approach
Start by framing your research question clearly at the top of your introduction and link it to relevant psychological theory: describe the anchoring effect and cite seminal work (Tversky & Kahneman) plus any more recent experimental studies that used numerical anchors. State your aim and write both the null hypothesis and a directional or non-directional research hypothesis that matches the research question (e.g., participants exposed to a high numerical anchor will provide higher estimates than those exposed to a low numerical anchor). Keep the introduction focused and concise so the reader understands why anchoring is expected to affect estimates, and include one paragraph that explains the theoretical mechanism (e.g., insufficient adjustment from an arbitrary anchor) in student-friendly terms and with full citations you will list in References. Treat the research question exactly as given and do not change its wording elsewhere in the IA text.
Plan the exploration section as a controlled experimental design (independent groups is the simplest): recruit an appropriate sample (report age range, gender breakdown, sampling technique such as opportunity or stratified if you use school cohorts) and justify it in terms of validity and feasibility. Describe materials (clear anchor prompts, identical estimation task for all participants, standardised instructions, stopwatch or software if timing matters) and list all control variables (same room, same time limits, neutral wording, random assignment to high-anchor or low-anchor conditions). Include ethics: informed consent, right to withdraw, anonymity, and a debrief that explains the deception of anchoring and offers withdrawal of data. Record raw data in the appendix and include consent/debrief forms there too.
For analysis, present descriptive statistics (means, standard deviations, boxplots) and then choose an appropriate inferential test based on your design and data distribution (independent-samples t-test or Mann–Whitney U for non-normal data) and report effect sizes and confidence intervals. Label tables and figures, interpret results in relation to your hypothesis, and avoid overstating causality beyond your controlled design. In the evaluation, discuss strengths (control of variables, standardisation) and limitations (sample size, ecological validity, potential demand characteristics), suggest concrete improvements (larger, more diverse sample; double-blind procedure; multiple anchor magnitudes) and link findings back to theory. Finish with accurate, consistent referencing and an appendix that contains raw data, calculations, and materials so an external assessor could replicate your study.

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Generate the Best Psychology IA Research Questions

Our AI quickly transforms your keywords into unique, high-quality research questions. The process is simple: Select your subject, enter a few keywords, or leave the field blank for instant inspiration. Click 'Generate' to start browsing ideas.

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What Makes a Good IB Psychology IA Research Question?

A top-scoring Psychology RQ must be focused, specific, and explicitly state your variables. Examiners look for precise scientific context rather than broad, vague topics.

Identify a specific psychological construct, process, or phenomenon that you want to investigate, ensuring it is a recognized term in psychology.

Consider the ethical implications of your research question to ensure it does not involve harmful or invasive procedures.

Seek feedback from peers or instructors to refine your research question and ensure it meets the criteria for a strong IA.

Narrow your focus to one main psychological phenomenon or relationship, avoiding multiple unrelated aims or complex chains of constructs.

Make sure your question can be restated as a clear, specific research question that aligns with a simple experimental study.

Common Research Question Mistakes to Avoid

Proposing research that requires long-term interventions or is impractical for a school setting, which can lead to ethical concerns.

Not seeking feedback on the research question, which can prevent necessary revisions and improvements.

Writing in informal language or using slang that may confuse readers and obscure the meaning of the research question.

Including multiple aims or questions in the guiding statement, making it difficult to focus on one specific relationship or phenomenon.

Using vague or generic terms like 'behavior' or 'feelings' instead of specific psychological constructs.

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Frequently Asked Questions

Yes. Our Research Question Generator was trained on thousands of high-scoring IB exemplars, and the ideas it generates are designed to align with IB criteria so you can develop research questions that meet the standards.

Select your subject and category (IA or EE), optionally enter a few keywords or interests, then click Generate. The AI returns research question ideas tailored to your subject, which you can refine further with the tweak tools.

No. You can leave the keyword field blank for instant inspiration, or add a few words about your interests to get more targeted ideas.

Generated questions are starting points aligned with IB expectations. Similar research questions appear across cohorts—what matters is that your investigation or essay content is your own work.

The Research Question Evaluator was trained on thousands of research questions marked by IB-certified examiners. It evaluates your research question using the same IB criteria, helping you understand its strengths and areas for improvement.

Free users get a limited number of generations per week. Your limit resets weekly. Upgrade to Pro for higher limits and full access to Clastify AI tools.

EEs rely on secondary research and critical discussion of studies—not a simple experiment title padded to EE length.

An ethically feasible investigation linked to theory/study, with defined variables and a realistic school method.

Unethical designs, vague constructs, impossible methods, or EE prompts that are really IA titles.