Psychology A Level

Summary of Sampling Methods

Most of the studies that you’ll see in psychology use volunteer and opportunity sampling. This is because they take much less time and effort than the other three types, and we usually don’t have a list of the entire population that we’re studying!

 

Transcript

Lesson overview

What is a Science?

  1. What is a Science? – Introduction
  2. Cause and Effect
  3. The Scientific Process
  4. The Scientific Process: Aims
  5. The Scientific Process: Hypothesis
  6. Independent and Dependent Variables
  7. Levels of the Independent Variable
  8. Operationalisation
  9. The Scientific Process: Methods
  10. The Scientific Process: Results & Conclusions

Features of Science

  1. The Features of Science
  2. Features of Science: Hypothesis Testing
  3. Features of Science: Empirical Evidence
  4. Features of Science: Falsifiability
  5. Features of Science: Replicability
  6. Features of Science: Control
  7. Control: Extraneous Variables
  8. Control: Confounding Variables
  9. Article – Extraneous vs Confounding Variables
  10. Features of Science: Objectivity
  11. Features of science: Theory construction

Issues in Psychological Research

  1. Validity & Reliability – Introduction
  2. Validity – Part 1
  3. Validity – Part 2
  4. Assessing Validity
  5. Assessing Validity: Face Validity
  6. Assessing Validity: Concurrent Validity
  7. Reliability – Part 1
  8. Reliability – Part 2
  9. Internal and External Reliability
  10. The Split-half Method
  11. The Test-retest Method

Extraneous Variables

  1. Extraneous Variables – Introduction
  2. Extraneous Variables: Participant Variables
  3. Extraneous Variables: Investigator Effects
  4. Investigator Effects: Researcher Expectations
  5. Extraneous Variables: Situational Variables
  6. Introduction to Demand Characteristics
  7. Situational Variables Can Be Demand Characteristics
  8. Investigator Effects Can Be Demand Characteristics
  9. Demand Characteristics: Influence on Behaviour
  10. Effects of Extraneous Variables on Validity and Reliability
  11. Controlling for Extraneous Variables: Standardisation
  12. When Can We Use Standardisation?
  13. Controlling Extraneous Variables: Matching
  14. Controlling Extraneous Variables: Random Allocation
  15. Blinding
  16. Single and Double Blinding
  17. Extraneous Variables: Summary

External Validity

  1. External Validity – Introduction
  2. Internal and External Validity
  3. Types of External Validity: Ecological Validity
  4. Types of External Validity: Temporal Validity
  5. Types of External Validity: Population Validity

Sampling

  1. What is a Sample?
  2. What is Sampling?
  3. Types of Sampling: Volunteer Sampling
  4. Volunteer Sampling: Pros and Cons
  5. Types of Sampling: Opportunity Sampling
  6. Opportunity Sampling: Pros and Cons
  7. Volunteer vs Opportunity Sampling
  8. Types of Sampling: Systematic Sampling
  9. Systematic Sampling: Pros and Cons
  10. Types of Sampling: Random Sampling
  11. Random Sampling: Pros and Cons
  12. Types of Sampling: Stratified Sampling
  13. Stratified Sampling: How?
  14. Stratified Sampling: Pros and Cons
  15. Sampling Summary

Ethical Issues in Psychology

  1. Ethical Issues in Psychology – Introduction
  2. Ethical Issues: Informed Consent
  3. Ethical Issues: Deception
  4. Ethical Issues: Protection from Harm
  5. Ethical Issues: Right to Withdraw
  6. Ethical Issues: Confidentiality

Types of Experiment

  1. Types of Experiments – Introduction
  2. What is an Experiment?
  3. Types of Experiment: Laboratory Experiments
  4. Pros and Cons of Laboratory Experiments
  5. Types of Experiment: Field Experiments
  6. Pros and Cons of Field Experiments
  7. Types of Experiment: Quasi Experiments
  8. Pros and Cons of Quasi Experiments
  9. Types of Experiment: Natural Experiments
  10. Pros and Cons of Natural Experiments
  11. Types of Experiment: Summary
  12. Types of Experimental Design
  13. Matched Pairs Design
  14. Independent Groups Design
  15. Repeated Measures Design
  16. Repeated Measures: Limitations
  17. Repeated Measures: Counterbalancing
  18. Experimental Designs: Comparison
  19. Experimental Designs for Quasi and Natural Experiments

The Non-Experimental Method

  1. Non-Experimental Methods – Introduction
  2. What are Non-Experimental Methods?
  3. Single Variable Studies
  4. Correlational Studies: What is a Correlation
  5. Correlational Studies: Positive and Negative Correlations
  6. What is a Correlational Study
  7. Correlational Studies: Correlation is not Causation
  8. Correlational Studies: Pros and Cons
  9. Case Studies
  10. Pros of Case Studies
  11. Cons of Case Studies

Methods of Data Collection: Self-Report Technique

  1. Methods of Data Collection – Introduction
  2. Methods of Data Collection
  3. Self-Report Technique
  4. Open and Closed Questions
  5. Strengths of Closed Questions over Open Questions
  6. Strengths of Open Questions over Closed Questions
  7. Structured and Unstructured Interviews
  8. Strengths and Weaknesses of Structured and Unstructured Interviews
  9. Problems with Self-Report Methods: Objectivity
  10. Problems with Self-Report Methods: Social Desirability Bias
  11. Questionnaires vs Interviews: Speed of Data Collection
  12. Questionnaires vs Interviews: Investigator Effects
  13. Questionnaires vs Interviews: Quality of Data
  14. Questionnaires vs Interviews: Biased Sampling