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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
Formulation of Hypothesis
Based on observations or general statements.
Example: Children imitating behaviors seen in video games.
Hypothesis Testing
Requires systematic methods.
Example Study: Divide children into groups with violent vs. non-violent games and compare aggression.
Measurement and Observation
Clear definitions and rules are crucial.
Difficult phenomena like aggressive behavior need precise measurement for conclusive results.
Interpreting Results
Results contradicting the hypothesis lead to abandonment/modification.
Supportive results increase confidence but require consideration of other hypotheses.
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
Replicability
Supported by results that can be consistently replicated.
Falsifiability
Theory must be clear enough to be proven false if evidence arises.
Burden of Proof
Proponents must provide empirical evidence supporting the theory.
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.
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