Psychology: Investigating Behaviour — WJEC A-Level Psychology Revision

    Component 2 focuses on the principles of psychological research, covering the entire research process from planning and design to data analysis and evaluat

    Topic Synopsis

    Component 2 focuses on the principles of psychological research, covering the entire research process from planning and design to data analysis and evaluation. It requires learners to understand methodologies used in social and developmental psychology, apply research methods to novel scenarios, and conduct two personal investigations.

    Key Concepts & Core Principles

    Exam Tips & Revision Strategies

    Common Misconceptions & Mistakes to Avoid

    Examiner Marking Points

    Psychology: Investigating Behaviour

    WJEC
    A-Level

    Component 2 focuses on the principles of psychological research, covering the entire research process from planning and design to data analysis and evaluation. It requires learners to understand methodologies used in social and developmental psychology, apply research methods to novel scenarios, and conduct two personal investigations.

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    Objectives
    5
    Exam Tips
    6
    Pitfalls
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    Key Terms
    7
    Mark Points

    Subtopics in this area

    Principles of Research

    Topic Overview

    Investigating Behaviour is a core component of the WJEC A-Level Psychology course, focusing on the scientific methods psychologists use to study human and animal behaviour. This topic covers the entire research process, from developing hypotheses and designing studies to collecting data and analysing results. Understanding this area is crucial because it provides the foundation for evaluating all psychological theories and studies you will encounter in the course.

    The topic is divided into several key areas: research methods (experiments, observations, self-reports, correlations), ethical considerations, data analysis (descriptive and inferential statistics), and report writing. You will learn how to design your own investigations, critique existing research, and understand the strengths and limitations of different approaches. This knowledge is not only essential for exams but also develops critical thinking skills applicable to everyday life.

    Investigating Behaviour is assessed across all three exam papers, but it is particularly central to Paper 2 (Psychology: Investigating Behaviour). You will be expected to apply your knowledge to novel scenarios, calculate statistics, and write about methodological issues. Mastering this topic will significantly boost your overall grade, as it underpins the evaluation of every other topic you study.

    Key Concepts

    Core ideas you must understand for this topic

    • →Hypothesis testing: Understanding null and alternative hypotheses, directional (one-tailed) and non-directional (two-tailed) hypotheses, and operationalisation of variables.
    • →Experimental designs: Independent groups, repeated measures, and matched pairs designs, including their strengths and weaknesses (e.g., order effects, demand characteristics).
    • →Sampling methods: Random, stratified, opportunity, and volunteer sampling, and how each affects generalisability and bias.
    • →Descriptive statistics: Measures of central tendency (mean, median, mode) and dispersion (range, standard deviation), and when to use each.
    • →Inferential statistics: Understanding the concept of statistical significance (p ≤ 0.05), choosing the appropriate test (e.g., Mann-Whitney U, Wilcoxon, Chi-squared), and interpreting critical values.

    What You Need to Demonstrate

    Key skills and knowledge for this topic

    • Knowledge and understanding of research design (hypotheses, variables, operationalisation)
    • Evaluation of various methodologies (experiments, observations, interviews, case studies, etc.)
    • Application of sampling techniques and experimental designs
    • Competence in descriptive and inferential statistics
    • Understanding of reliability and validity, including ways to assess and improve them
    • Application of ethical guidelines and management of ethical risks
    • Understanding of the scientific community's role (peer review, reporting formats)

    Marking Points

    Key points examiners look for in your answers

    • Knowledge and understanding of research design (hypotheses, variables, operationalisation)
    • Evaluation of various methodologies (experiments, observations, interviews, case studies, etc.)
    • Application of sampling techniques and experimental designs
    • Competence in descriptive and inferential statistics
    • Understanding of reliability and validity, including ways to assess and improve them
    • Application of ethical guidelines and management of ethical risks
    • Understanding of the scientific community's role (peer review, reporting formats)

    Examiner Tips

    Expert advice for maximising your marks

    • 💡Ensure you can construct and interpret all required graphical representations (line graphs, histograms, etc.)
    • 💡Practice applying research methods to novel scenarios provided in the exam paper
    • 💡Keep a detailed log book for your two personal investigations to aid recall of methodology and ethical considerations
    • 💡Be prepared to justify the choice of a specific statistical test based on the data type and research design
    • 💡Use the correct terminology for sampling techniques and experimental designs
    • 💡Always justify your choice of research method or statistical test in exam answers. For example, if you choose a repeated measures design, explain that it controls for individual differences and requires fewer participants, but be aware of order effects and counterbalancing.
    • 💡When writing about ethical issues, go beyond simply stating 'informed consent'. Discuss how you would obtain it (e.g., via a consent form), what information participants should receive, and how to deal with deception (e.g., debriefing).
    • 💡For calculations, show all your working. Even if you make a small arithmetic error, you can still gain method marks. Also, remember to state your conclusion in the context of the study (e.g., 'Therefore, we reject the null hypothesis and conclude that the therapy significantly reduced anxiety levels').

    Common Mistakes

    Pitfalls to avoid in your exam answers

    • Confusing directional and non-directional hypotheses
    • Failure to correctly operationalise variables
    • Misidentifying the appropriate level of measurement (nominal, ordinal, interval, ratio)
    • Incorrect selection or interpretation of inferential statistical tests
    • Confusing internal and external validity
    • Inadequate evaluation of ethical implications in research scenarios
    • Misconception: Correlation proves causation. Correction: Correlation only shows a relationship between two variables; it does not imply that one causes the other. There may be a third variable (confounding variable) influencing both.
    • Misconception: A statistically significant result means the effect is large or important. Correction: Significance only indicates that the result is unlikely to have occurred by chance (p ≤ 0.05). Effect size (e.g., Cohen's d) measures the magnitude of the effect, which is separate from significance.
    • Misconception: The mean is always the best measure of central tendency. Correction: The mean is sensitive to outliers (extreme values). For skewed data, the median is more representative. The mode is useful for categorical data.

    Frequently Asked Questions

    Common questions students ask about this topic

    Before You Start

    Prior knowledge that will help with this topic

    • •Basic understanding of the scientific method and experimental design from GCSE Science.
    • •Familiarity with simple statistical concepts such as averages and percentages from GCSE Mathematics.
    • •Knowledge of ethical guidelines in psychological research (e.g., BPS Code of Ethics) is helpful but will be covered in this topic.

    Likely Command Words

    How questions on this topic are typically asked

    Describe
    Explain
    Evaluate
    Apply
    Calculate
    Construct
    Interpret
    Justify

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