Research methods study guide

Research methods study guide

What this topic covers

Students demonstrate knowledge and understanding of research methods, scientific processes, data handling and inferential testing. Use the guide to organise the topic into AO1 knowledge, AO2 application and AO3 evaluation. The aim is to move from recognising terms to writing evidence-based psychological explanations.

Required learning objectives

• Explain the experimental method, including laboratory, field, natural and quasi-experiments.
• Explain observational techniques, including naturalistic, controlled, covert, overt, participant and non-participant observation.
• Explain self-report techniques, including questionnaires and structured or unstructured interviews.
• Explain correlations and distinguish correlations from experiments.
• Explain content analysis and case studies as research methods.
• Distinguish aims from hypotheses and directional from non-directional hypotheses.
• Explain sampling methods, including random, systematic, stratified, opportunity and volunteer sampling, and their implications for bias and generalisation.
• Explain experimental design, observational design, questionnaire construction, interview design, pilot studies, control, standardisation, ethical issues, reliability and validity.
• Explain features of science, including objectivity, replication, theory construction, hypothesis testing, peer review and the implications of psychological research for the economy.
• Distinguish quantitative and qualitative data and their collection techniques.
• Distinguish primary data from secondary data, including meta-analysis.
• Calculate and interpret measures of central tendency, including mean, median and mode.
• Calculate and interpret measures of dispersion, including range and standard deviation.
• Calculate percentages and interpret positive, negative and zero correlations.
• Present quantitative data using graphs, tables, scattergrams, bar charts and histograms.
• Explain normal and skewed distributions.
• Analyse and interpret correlations, including correlation coefficients.
• Distinguish nominal, ordinal and interval levels of measurement.
• Explain coding in content analysis.
• Explain the purpose of statistical testing.
• Explain when to use the sign test and how to calculate it.
• Use probability, statistical tables and critical values to interpret significance.
• Distinguish Type I errors from Type II errors.
• Explain how level of measurement affects the choice of statistical test.
• Explain how experimental design affects the choice of statistical test.
• Identify when to use Spearman's rho, Pearson's r, Wilcoxon, Mann-Whitney, related t-test, unrelated t-test and Chi-Squared test.

Subtopic walkthrough

Scientific processes

Scientific processes should be revised by first securing AO1 knowledge: definitions, theories, studies, methods, treatments or data concepts. Then practise AO2 by applying the idea to a scenario or data context where relevant. For AO3, write evaluation that explains why the evidence matters. Useful evaluation routes include validity, reliability, bias, ethics, generalisability, practical application, reductionism, determinism and comparison with alternative explanations. A strong Psychology answer should end with a judgement or implication. Do not leave evaluation as a label such as "low validity" without explaining how that affects the conclusion.

Data handling and analysis

Data handling and analysis should be revised by first securing AO1 knowledge: definitions, theories, studies, methods, treatments or data concepts. Then practise AO2 by applying the idea to a scenario or data context where relevant. For AO3, write evaluation that explains why the evidence matters. Useful evaluation routes include validity, reliability, bias, ethics, generalisability, practical application, reductionism, determinism and comparison with alternative explanations. A strong Psychology answer should end with a judgement or implication. Do not leave evaluation as a label such as "low validity" without explaining how that affects the conclusion.

Inferential testing

Inferential testing should be revised by first securing AO1 knowledge: definitions, theories, studies, methods, treatments or data concepts. Then practise AO2 by applying the idea to a scenario or data context where relevant. For AO3, write evaluation that explains why the evidence matters. Useful evaluation routes include validity, reliability, bias, ethics, generalisability, practical application, reductionism, determinism and comparison with alternative explanations. A strong Psychology answer should end with a judgement or implication. Do not leave evaluation as a label such as "low validity" without explaining how that affects the conclusion.

How to revise this topic

Build one-page summaries for each subtopic using the same structure: concept, theory or study, evidence, application, evaluation and exam focus. For research-method content, add method, sample, design, validity, reliability and ethical issues. For statistics, add the decision rule and the conclusion.

Exam strategy

Read the command word first. Describe or outline questions mainly test AO1. Apply questions need AO2 and must use the scenario or data. Evaluate or discuss questions need AO3, so every evaluation point should explain why the strength, limitation or evidence issue affects the conclusion.

Evidence and evaluation model

A strong Psychology paragraph should work like a chain. Start with a clear psychological claim. Add evidence from a named study, method, treatment, theory or data pattern. Explain what the evidence shows. Then judge the strength of the claim by referring to validity, reliability, bias, ethics, generalisability, practical application or an alternative explanation. This prevents evaluation becoming a list of labels.

Application model

When a question includes a stem or data, identify the exact detail that matters before explaining the concept. For example, if the stem describes behaviour, link the behaviour to the psychological process. If it provides results, link the result to the conclusion that can and cannot be drawn. If it presents a treatment issue, separate effectiveness from appropriateness so the answer does not drift into a general description.

Writing model

Use one idea per paragraph. Begin with the concept, then add evidence and explain the implication. Avoid sentences that only say a study is strong, weak, useful or flawed. Replace them with sentences that explain why the feature changes confidence in the conclusion. This is especially important in extended answers, where marks depend on sustained reasoning rather than topic recognition.

Worked revision checklist

• Can I answer this with AO1 knowledge and at least one evidence-based AO3 point: Explain the experimental method, including laboratory, field, natural and quasi-experiments.
• Can I answer this with AO1 knowledge and at least one evidence-based AO3 point: Explain observational techniques, including naturalistic, controlled, covert, overt, participant and non-participant observation.
• Can I answer this with AO1 knowledge and at least one evidence-based AO3 point: Explain self-report techniques, including questionnaires and structured or unstructured interviews.
• Can I answer this with AO1 knowledge and at least one evidence-based AO3 point: Explain correlations and distinguish correlations from experiments.
• Can I answer this with AO1 knowledge and at least one evidence-based AO3 point: Explain content analysis and case studies as research methods.
• Can I answer this with AO1 knowledge and at least one evidence-based AO3 point: Distinguish aims from hypotheses and directional from non-directional hypotheses.
• Can I answer this with AO1 knowledge and at least one evidence-based AO3 point: Explain sampling methods, including random, systematic, stratified, opportunity and volunteer sampling, and their implications for bias and generalisation.
• Can I answer this with AO1 knowledge and at least one evidence-based AO3 point: Explain experimental design, observational design, questionnaire construction, interview design, pilot studies, control, standardisation, ethical issues, reliability and validity.
• Can I answer this with AO1 knowledge and at least one evidence-based AO3 point: Explain features of science, including objectivity, replication, theory construction, hypothesis testing, peer review and the implications of psychological research for the economy.
• Can I answer this with AO1 knowledge and at least one evidence-based AO3 point: Distinguish quantitative and qualitative data and their collection techniques.
• Can I answer this with AO1 knowledge and at least one evidence-based AO3 point: Distinguish primary data from secondary data, including meta-analysis.
• Can I answer this with AO1 knowledge and at least one evidence-based AO3 point: Calculate and interpret measures of central tendency, including mean, median and mode.
• Can I answer this with AO1 knowledge and at least one evidence-based AO3 point: Calculate and interpret measures of dispersion, including range and standard deviation.
• Can I answer this with AO1 knowledge and at least one evidence-based AO3 point: Calculate percentages and interpret positive, negative and zero correlations.
• Can I answer this with AO1 knowledge and at least one evidence-based AO3 point: Present quantitative data using graphs, tables, scattergrams, bar charts and histograms.
• Can I answer this with AO1 knowledge and at least one evidence-based AO3 point: Explain normal and skewed distributions.
• Can I answer this with AO1 knowledge and at least one evidence-based AO3 point: Analyse and interpret correlations, including correlation coefficients.
• Can I answer this with AO1 knowledge and at least one evidence-based AO3 point: Distinguish nominal, ordinal and interval levels of measurement.
• Can I answer this with AO1 knowledge and at least one evidence-based AO3 point: Explain coding in content analysis.
• Can I answer this with AO1 knowledge and at least one evidence-based AO3 point: Explain the purpose of statistical testing.
• Can I answer this with AO1 knowledge and at least one evidence-based AO3 point: Explain when to use the sign test and how to calculate it.
• Can I answer this with AO1 knowledge and at least one evidence-based AO3 point: Use probability, statistical tables and critical values to interpret significance.
• Can I answer this with AO1 knowledge and at least one evidence-based AO3 point: Distinguish Type I errors from Type II errors.
• Can I answer this with AO1 knowledge and at least one evidence-based AO3 point: Explain how level of measurement affects the choice of statistical test.
• Can I answer this with AO1 knowledge and at least one evidence-based AO3 point: Explain how experimental design affects the choice of statistical test.
• Can I answer this with AO1 knowledge and at least one evidence-based AO3 point: Identify when to use Spearman's rho, Pearson's r, Wilcoxon, Mann-Whitney, related t-test, unrelated t-test and Chi-Squared test.

Common pitfalls

Avoid study-name dumping, vague evaluation, unsupported opinion and confusing correlation with causation. Keep explanation and treatment separate in clinical topics, and keep effectiveness and appropriateness separate when judging therapies or interventions.

Final exam reminder

AQA A-level Psychology rewards precise psychological terminology, clear evidence and evaluation that reaches a reasoned conclusion. Strong answers are built from claim, evidence, explanation and judgement.

Readiness check

A student is ready for this topic when they can define the main terms, apply them to a short unfamiliar context and evaluate at least one piece of evidence without using generic wording. If the answer only names a study, add what the study shows. If it only names a limitation, add why the limitation matters. If it only describes behaviour, add the psychological explanation or evidence route that makes the answer analytical.

How to practise answers

Practise in three passes. First, write a short AO1 answer that defines the concept and uses the correct term. Second, add AO2 by applying the idea to a scenario, result or data pattern. Third, add AO3 by judging evidence or method quality. This sequence helps students see which part of the answer is doing which job. It also makes weaknesses easier to diagnose: missing definitions are AO1 problems, unused scenarios are AO2 problems, and unsupported judgements are AO3 problems.

How to compare ideas

Some Psychology questions require direct comparison. A comparison should not describe one idea and then separately describe another. It should use comparative language such as whereas, however or in contrast, and it should compare the same feature in both ideas. For example, compare the type of evidence, the method, the explanation of behaviour, the treatment aim or the strength of the conclusion. This keeps comparison analytical rather than becoming two disconnected mini essays.

How to avoid generic evaluation

Generic evaluation often sounds fluent but does not earn much credit. Phrases such as low validity, biased sample or limited evidence need an explanation of impact. A stronger sentence explains why the issue changes the conclusion. If a sample is biased, say how that limits generalisation. If a method lacks control, say how that affects causal inference. If evidence is consistent, say how that increases confidence in the psychological claim.