Understanding Scientific Methods in Psychology

Oct 11, 2024

Lecture Notes: Scientific Methods in Psychology

Overview

  • Purpose of Psychology as a Science
    • Explain psychological phenomena: thoughts, emotions, behaviors.
    • Use systematic methods to observe behavior and make inferences.
    • Develop theories to explain these phenomena.

Scientific Thinking in Psychological Science

  • Definition of Science
    • Knowledge based on carefully observed and replicable data.
    • Differs from layman's theories by its reliance on systematic observation.

Research Process in Psychological Science

  • Stages of Research
    1. Formulation of Hypothesis
      • Based on observations or general statements.
      • Example: Children imitating behaviors seen in video games.
    2. Hypothesis Testing
      • Requires systematic methods.
      • Example Study: Divide children into groups with violent vs. non-violent games and compare aggression.
    3. Measurement and Observation
      • Clear definitions and rules are crucial.
      • Difficult phenomena like aggressive behavior need precise measurement for conclusive results.
    4. Interpreting Results
      • Results contradicting the hypothesis lead to abandonment/modification.
      • Supportive results increase confidence but require consideration of other hypotheses.
    5. Replicability
      • Important for confirming research results.
      • Methods and procedures must be detailed for replication.
      • Misrepresentation risks credibility loss.

Evaluations and Indicators of Scientific Theory

  • Indicators of a Good Theory
    1. Replicability
      • Supported by results that can be consistently replicated.
    2. Falsifiability
      • Theory must be clear enough to be proven false if evidence arises.
    3. Burden of Proof
      • Proponents must provide empirical evidence supporting the theory.
    4. Principle of Parsimony (Occam's Razor)
      • Simplicity in assumptions is key.
      • Prefer established theories with few assumptions.

Meta-Analysis

  • Purpose and Use
    • Analyzes results of multiple studies to treat them as one large study.
    • Helps determine replicability of effects.
    • Crucial for evaluating results from studies with small participant numbers.

Psychology as a Science

  • Status Evaluation
    • Good theories help deduce and explain phenomena based on replicable data.
    • Emphasize simplicity and accurate predictions.
  • Differences from Pseudoscience
    • Based on data that supports multiple hypotheses.
    • Use indicators like replicability and falsifiability to evaluate theories.