AQA GCSE Psychology: Research Methods, Section 3.1.4 (8182)

This guide covers Section 3.1.4: Research Methods, part of Paper 1 (Cognition and Behaviour) in AQA GCSE Psychology (8182). It is distinct from the site’s existing guide to Paper 1: Cognition and Behaviour, which covers the paper as a whole, including Memory (3.1.1), Perception (3.1.2) and Development (3.1.3) – this guide focuses specifically on Research Methods, the fourth and final section of Paper 1.

Where this fits in 8182

Research Methods sits differently from the other three Paper 1 sections: rather than covering a single psychological topic area, it covers the tools and procedures psychologists use to investigate any topic area, including the three others in Paper 1 and the topics in Paper 2. This makes it a section that supports understanding across the whole qualification, not just its own exam questions.

Syllabus coverage

AQA GCSE PSYCHOLOGY (8182) – PAPER 1, SECTION 3.1.4: RESEARCH METHODS

• Aims and hypotheses, including the difference between a null hypothesis and an alternative (directional or non-directional) hypothesis
• Variables, including independent, dependent, and extraneous variables, and how to operationalise them
• Sampling methods: random, opportunity, systematic, and stratified sampling, with a strength and a weakness of each
• Experimental design: independent groups, repeated measures, and matched pairs designs
• Types of experiment: laboratory, field, and natural experiments
• Non-experimental methods: interviews, questionnaires, case studies, and observation studies
• Correlations, and how correlational research differs from experimental research
• Research procedures: standardisation, randomisation, counterbalancing, and controlling extraneous variables
• Ethical considerations in psychological research, in line with British Psychological Society (BPS) guidelines
• 3.1.4.1 Data handling: quantitative and qualitative data, primary and secondary data, computation (mean, median, mode, range), descriptive statistics, data display (tables, graphs, charts), and normal distributions

How to approach it

Research Methods is tested both as standalone questions and embedded within questions on the other three Paper 1 topics – exam questions frequently ask candidates to design or evaluate a study into memory, perception or development using the methods covered here. Treating this section purely as abstract theory, disconnected from the content topics, misses how it is actually examined.

Official syllabus

AQA GCSE Psychology (8182) specification, first teaching September 2017 – aqa.org.uk.

Sampling methods, compared

Random sampling gives every member of the target population an equal chance of selection, minimising bias but potentially producing an unrepresentative sample by chance. Opportunity sampling uses whoever is readily available, which is quick but prone to bias since the sample is drawn from a narrow, convenient group. Systematic sampling selects every nth person from a list, which is more structured than opportunity sampling but can still miss the true diversity of a population. Stratified sampling divides the population into subgroups (strata) and samples proportionally from each, producing the most representative sample of the four but requiring more information about the population in advance.

Experimental designs, compared

Independent groups design uses different participants in each condition, avoiding order effects but introducing participant variables as a confound. Repeated measures design uses the same participants in every condition, controlling for participant variables but introducing order effects (practice or fatigue), which can be addressed through counterbalancing. Matched pairs design pairs participants on key characteristics and assigns one of each pair to each condition, balancing some of the strengths of both other designs at the cost of being time-consuming to set up.

Correlations are not experiments

A correlation measures the strength and direction of a relationship between two co-variables without either being deliberately manipulated by the researcher, which means a correlation can show that two variables are related but cannot establish that one causes the other. This distinction is a common exam focus: a study that simply measures two existing variables (such as hours of sleep and test score) is correlational, not experimental, even if the results are described using similar-sounding language. Confusing a strong correlation with proof of cause and effect is one of the most frequently tested research-methods errors across the whole specification.

Worked example: identifying variables in a study description

The routine below is an original model written for this resource, not a reproduction of any official past paper or mark scheme.

Scenario: "Researchers wanted to find out whether listening to
music affects memory for a word list. One group memorised the
list in silence; another group memorised it while music played."

Step 1 - identify the IV (independent variable):
what the researcher deliberately changes between groups
-- here, presence or absence of music.

Step 2 - identify the DV (dependent variable):
what is measured as an outcome
-- here, number of words correctly recalled.

Step 3 - identify the experimental design:
different participants in each group = independent groups design.

Step 4 - identify a possible extraneous variable:
something else that could affect recall, such as time of day
or prior familiarity with the word list, that should be
controlled for.

Common mistakes

Confusing independent and dependent variables, particularly in questions describing a study rather than explicitly labelling the variables. Describing a sampling method without giving both a strength and a weakness when asked to evaluate it. Treating repeated measures and matched pairs designs as the same thing, when they differ in whether the same or different participants are used. Forgetting that ethical considerations (consent, deception, protection from harm, right to withdraw, confidentiality) can be examined as their own question, not just mentioned in passing.

Quick revision checklist

• Be able to state a strength and a weakness of each of the four sampling methods.
• Practise identifying the IV, DV and extraneous variables from a written study description.
• Compare independent groups, repeated measures and matched pairs designs, including how order effects are addressed.
• Know the difference between experimental methods (lab, field, natural) and non-experimental methods (interviews, questionnaires, case studies, observations).
• Revise BPS ethical guidelines and how they apply to a described study.
• Practise calculating mean, median, mode and range from a small data set, and interpreting a normal distribution.