Unit 3 & 4 Psychology Holiday Homework 2026 Study Notes

Unit 3 & 4 Psychology Holiday Homework 2026

Part A: Scientific and Non-Scientific Ideas

  • Scientific ideas

    • Defined as testable and evidence-based.

    • Utilizes the scientific method.

  • Non-scientific ideas

    • Based on beliefs and traditions.

    • Often subjective and unproven.

Key Concepts in Psychology

  • Models

    • Frameworks utilized to understand, explain, and predict complex mental processes, behaviors, and disorders.

  • Theories

    • Evidence-based explanations for human behavior.

  • Hypothesis

    • A testable prediction that identifies:

    • The population involved.

    • The strength and direction of the relationship between two variables.

  • Aim

    • The purpose of the study; specifically tests the effect of the independent variable (IV) on the dependent variable (DV).

Variables in Experiments

  • Independent Variable (IV)

    • The variable that is manipulated by the experimenter.

  • Dependent Variable (DV)

    • The variable that is measured to test the effect of the independent variable.

  • Controlled Variable

    • Other variables maintained by the researcher to ensure that any effect on the DV is due to the IV and not influenced by external factors.

  • Extraneous Variable

    • Any variable (other than the IV) that could potentially affect the DV.

  • Confounding Variable

    • Extraneous variables that were not controlled and, as such, influence the DV.

Research Methods

  • Case Studies

    • In-depth investigations of individual cases, often focusing on particular aspects of behavior.

  • Correlation Studies

    • Investigates the relationship between two variables.

    • Advantages: Observes settings without manipulation.

    • Disadvantages: Cannot establish causation.

  • Controlled Experiments

    • Research methodology where all variables are controlled to ascertain cause-and-effect relationships.

  • Literature Reviews

    • Uses secondary data to answer a question or provide research for comparison prior to conducting primary data investigations.

    • Advantages: Provides a broad and flexible overview.

    • Disadvantages: Time-consuming.

  • Modelling/Simulations

    • Small or large-scale representations of objects to enable replication, explanation, or investigation.

    • Advantages: Allows safe, controlled environments for research or training.

    • Disadvantages: Can be costly and resource-intensive.

  • Product, Process, or System Development

    • Design and development of solutions to meet human needs, often involving technological applications.

    • Advantages: Improves efficiency and reduces errors.

    • Disadvantages: Time and cost-intensive.

  • Simulation

    • Utilizes mental or computer processes to understand behavior.

    • Advantages: Maintains controlled variables.

    • Disadvantages: Lacks realism.

  • Direct Observation

    • Collecting information by watching the subject without altering the environment.

  • Qualitative Interviews

    • In-depth, open-ended conversations aimed at exploring a participant’s subjective experiences, meanings, perspectives, etc.

  • Questionnaires

    • Self-reported or researcher-administered tools to measure attitudes and behaviors.

  • Focus Groups

    • Qualitative research method involving 6-12 participants discussing topics under the guidance of a moderator.

  • Yarning Circles

    • A culturally grounded, relational method derived from Aboriginal and Torres Strait Islander traditions.

Sampling Techniques

  • Difference Between Population and Sample

    • A population is the whole group being studied, while a sample is a subset of that population.

  • Convenience Sampling

    • Selected in the quickest and easiest manner possible.

    • Advantages: Very quick and easy to administer.

    • Disadvantages: Not representative of the population, leading to potential bias.

  • Random Sampling

    • Every member of the population has an equal chance of selection.

    • Advantages: Free from selection bias, relatively quick and uncomplicated.

    • Disadvantages: May not be truly representative of the population.

  • Random Stratified Sampling

    • Breaks the population into subgroups (strata) and selects participants from each group in the same proportions that they represent in the population.

    • Advantages: More representative of the population.

    • Disadvantages: More time-consuming.

  • Define Allocation

    • Assigning participants to different experimental conditions.

  • Define Random Allocation

    • The assignment of participants to conditions purely by chance.