Research methods in AQA Psychology: how to answer the questions

Short answer: To answer research methods questions in A-level Psychology, read the scenario, name the exact method or concept, and tie every point to the study's details. Make hypotheses operational, match each statistical test to the data and design, and link ethics to BPS principles.

Why research methods questions in A-level Psychology matter

At least 25–30% of the AQA A-level assesses research methods [1]. At least 10% of the whole assessment uses maths skills at Level 2 (GCSE) or above [1].

Research methods sits in Paper 2, Psychology in context, alongside Approaches and Biopsychology [3]. Its skills are also tested across the other papers, so you cannot revise it once and leave it. Each paper lasts 2 hours, is worth 96 marks and counts for one third of the A-level [3].

You do not need to be strong at maths to start. The maths is GCSE level. The skill is applying it to a psychology study.

What the updated specification includes

The specification is the exam board's list of what can be examined. Research methods content includes these groups [2]:

• Methods: experiments (lab, field, natural, quasi), observation, self-report, correlations, content analysis and case studies.
• Design: aims, directional and non-directional hypotheses, sampling, pilot studies, and repeated measures, independent groups and matched pairs designs.
• Control: random allocation, counterbalancing, randomisation, standardisation and control groups.
• Data handling: mean, median, mode, range, standard deviation, percentages, graphs and levels of measurement.
• Inferential testing: the sign test, critical values, probability, and Type I and Type II errors.

The updated specification added control groups and removed confounding variables and thematic analysis [2]. It was first taught in September 2025, with first A-level exams in June 2027 [2]. Our post on the June 2027 specification changes covers the rest.

How the assessment objectives reward research methods answers

An assessment objective (AO) is the skill a mark rewards. AO1 is knowledge, AO2 is application and AO3 is analysis and evaluation [1]. Research methods answers lean heavily on AO2, because you apply ideas to a scenario.

These weightings come from AQA's specification [1]. Paper 2 has the highest AO2 weighting share of the three papers [1]. So applying your knowledge to the scenario matters most there. For AO3 technique, see our guide to writing AO3 evaluation.

Question types and the in context rule

You will meet six main question types. Each has a clear way to earn marks:

1. Identify: give the term or value. Keep it short and exact (AO1 or AO2).
2. Explain: give the point, then say why, using the scenario (AO2).
3. Design a study: state the method, variables, sample, procedure and controls in order (AO2 and AO3).
4. Calculate: show your working, so you can still earn marks if the answer is wrong (AO2).
5. Choose a statistical test: name the test and justify it with three factors (AO2).
6. Write a hypothesis: state the variables in a measurable way (AO2).

The in context rule sits above all of these. Every answer must use the details of the scenario: who the participants are, what is measured and where. Answers that use scenario detail are easier to credit than general definitions.

How to choose a statistical test

A reliable routine uses three factors. Ask whether you are testing a difference or a correlation. Ask whether the design is related or unrelated. Then identify the level of measurement.

The table covers every test named in the specification [2].

Related means the same people, or matched pairs, take part in both conditions. Unrelated means different people take part in each.

Worked example: a revision app study

A CC practice question, in our own words. A psychologist tests whether a revision app improves vocabulary learning. Forty Year 12 students at one sixth form learn the same 30 French words. Twenty use the app for 15 minutes a day for two weeks. Twenty revise in their usual way for the same time. All 40 then take a test, scored out of 30. (a) Write a directional hypothesis. (b) Name the experimental design and explain one limitation. (c) Choose a statistical test and justify your choice. (d) Identify one ethical issue and explain how to deal with it, using the BPS principles.

Notice that every part uses scenario details: Year 12 students, 15 minutes a day, 30 words, two groups of 20. The hypothesis is operationalised, so both variables can be measured. The test choice names all three factors. The ethics answer names the BPS code, the problem and a solution.

If a question gave only ranked data instead, the same logic would lead you to the Mann-Whitney test.

Common mistakes

• Answers not in context. Writing a general definition of random allocation does less for you than saying how you would allocate these 40 students.
• Confusing reliability and validity. Reliability is consistency, such as test-retest or inter-observer agreement. Validity is whether you measure what you claim to, such as face or ecological validity [2].
• Vague hypotheses. Words like better or improve do not say what is measured. Write the measure, such as score out of 30, and the direction.
• Naming a test without a reason. Always give the three factors: difference or correlation, related or unrelated, and level of measurement.
• Ethics with no solution. Naming an issue earns little. Say what the researcher should do about it.

Using the BPS principles in your answer

The BPS Code of Ethics and Conduct is built on four principles: respect, competence, responsibility and integrity [4]. Learn these four names so you can refer to them in an ethics answer.

Then explain the issue in the scenario and give a clear solution in your own words. Naming the code shows AO1 knowledge, and tying the issue to the scenario shows AO2 application.