CAIE AS Level Psychology (9990) Study Notes

ZNOTES: CAIE AS Level Psychology (9990) Study Guide

Methodology

1. Research Methods

  • 1.1. Experiments

    • Definition: An experiment is an investigation that explores a causal relationship by manipulating an Independent Variable (IV) to observe effects on a Dependent Variable (DV).

    • Types of Experiments:

      • Laboratory Experiments:

      • Conducted in a controlled setting, not the usual environment for participants.

      • Strict controls are implemented.

      • Field Experiments:

      • Conducted in the participant's normal environment.

      • Some control over variables but challenging to manage all situational variables.

      • Natural Experiments:

      • The IV cannot be manipulated by the researcher; instead, existing differences are studied.

      • Considered a quasi-experiment since the researcher does not control the IV.

  • Each experiment comprises an experimental condition (where IV is present) and a control condition (where IV is absent).

2. Self-Reports

  • Definition: Self-reports are methods for gathering information directly from participants through questionnaires and interviews.

  • Types of Questionnaires:

    • Likert Scales: Measures agreement or disagreement.

    • Rating Scales: Participants rate on a numerical scale.

    • Open Questions: Allow detailed responses.

    • Closed Questions: Limited response options.

  • Types of Interviews:

    • Structured: Fixed question order, highly standardized.

    • Semi-structured: Fixed questions with flexibility for follow-up questions.

    • Unstructured: Flexible questioning based on participant responses.

3. Observations

  • Definition: Observations involve direct monitoring of human or animal behavior, which can be classified based on participant knowledge and observer involvement.

  • Types of Observation:

    • Overt: Participants are aware they are being observed.

    • Covert: Participants are unaware of the observation.

    • Participant: Observer is part of the group being studied.

    • Non-participant: Observer maintains a distance from the group.

  • Observation Types by Structure:

    • Structured: Limited range of behaviors recorded.

    • Unstructured: Comprehensive recording of behaviors.

    • Naturalistic: Observations occur in the participant's usual environment.

    • Controlled: Observation in a manipulated environment.

4. Case Studies

  • Definition: An in-depth research method focusing on a single instance (individual, family, or institution) to collect specific data about that case.

5. Correlations

  • Definition: A statistical method to measure the relationship between two variables (co-variables). Correlations indicate the extent to which changes in one variable correspond to changes in another.

  • Types of Correlation:

    • Positive Correlation: Increase in one variable correlates with an increase in another.

    • Negative Correlation: Increase in one correlates with a decrease in the other.

    • No Correlation: Variables show no systematic relationship.

6. Hypotheses and Aims

  • Aim: The objective of the investigation, indicating what the study intends to show without predicting outcomes.

  • Hypothesis: A testable prediction regarding the relationship between variables.

    • Types of Hypotheses:

      • Directional Hypothesis: Predicts the direction of a relationship between variables.

      • Non-directional Hypothesis: Predicts a relationship without specifying the direction.

      • Null Hypothesis: States there is no relationship, and any observed effects are due to chance.

7. Variables

  • Independent Variable (IV): The factor manipulated by the researcher, affecting the DV.

  • Dependent Variable (DV): The outcome measured to determine the effects of the IV.

  • Operationalization: Clearly defining variables for accurate manipulation and measurement.

8. Experimental Design

  • Types:

    • Independent Measures: Different groups for each IV level.

    • Repeated Measures: Same participants experience all IV levels with counterbalancing to manage order effects.

    • Matched Pairs: Pairs of participants are matched on key attributes; one member of each pair is assigned to each condition.

9. Validity

  • Definition: The extent to which a study measures what it claims to evaluate.

  • Types of Validity:

    • Internal Validity: Controls for confounding variables.

    • Ecological Validity: Generalizability to real-life settings.

    • Face Validity: Apparent effectiveness of a measure.

    • Concurrent Validity: Correlation with established measures.

10. Reliability

  • Definition: Consistency of a study's findings.

  • Internal Reliability: Standard procedures across all participants.

  • External Reliability: Results can be replicated in subsequent studies.

  • Methods to Test Reliability:

    • Split-half Method: Comparing two halves of a measure.

    • Test-retest Method: Comparing results from multiple administrations.

11. Data Analysis

  • Central Tendency Measures:

    • Mean, Median, Mode: Typical scores calculated for datasets.

  • Spread Measures:

    • Range: Difference between highest and lowest values.

    • Standard Deviation: Average difference from the mean.

12. Sampling Techniques

  • Population vs. Sample: A population is the broader group, while a sample represents that population.

  • Types of Sampling:

    • Opportunity Sampling: Based on availability.

    • Random Sampling: Unbiased selection from the population.

    • Volunteer Sampling: Participants self-select to take part in research.

13. Strengths and Weaknesses of Sampling Techniques

  • Opportunity Sampling:

    • Strengths: Quick and accessible.

    • Weaknesses: Limited diversity and generalizability.

  • Random Sampling:

    • Strengths: Higher confidence of generalization.

    • Weaknesses: Difficulty obtaining complete population data.

  • Volunteer Sampling:

    • Strengths: Lower drop-out rates.

    • Weaknesses: Sample bias, as only certain types volunteer.

14. Ethical Guidelines

  • General Ethical Issues: Concerns that arise regarding participant welfare.

  • Specific Guidelines for Human Participants:

    • Privacy: No invasion of personal space.

    • Debriefing: Full explanations post-study.

    • Protection: No excessive risk beyond daily life.

    • Informed Consent: Adequate information for participation decisions.

    • Right to Withdraw: Participants can opt out anytime.

    • Deception: Participants should not be misled unless necessary and must be debriefed.

    • Confidentiality: Secure handling of personal data.

  • Guidelines for Animal Participants: Based on BPS (2012) Recommendations.

    • Replacement: Where possible, substitute with videos/computer models.

    • Species and Strain: Choose appropriate species ethically.

    • Numbers: Use minimal numbers needed for reliability.

    • Procedures: Favor enriching methods and avoid harm.

    • Pain and Distress: Minimize suffering in experiments involving animals.

Issues and Debates in Psychology

1. Application of Psychology

  • Psychology's purpose is to improve behaviors, mental health, safety, and societal efficiency, using valid research methods.

2. Individual vs. Situational Explanations

  • Explores the balance between personal factors (individual) and environmental factors (situational) impacting behavior.

3. Nature vs. Nurture

  • Nature refers to genetic influences whereas nurture represents environmental impacts on behavior.

4. Ethical Considerations for Children

  • Importance of consent and risk assessments for participants under 16.

5. Ethical Considerations for Animal Research

  • Adherence to established guidelines for the humane treatment of animals in research.