PSYC1040 Concise Notes
The Scientific Process and Experimental Design
The Scientific Method
- Definition: A systematic approach for acquiring knowledge through observation and experimentation.
- Key Concepts: Differentiation between knowledge from experience, authority, rationalism, empiricism, and science.
Principles of the Scientific Method
- Objectivity: Evidence must be observable by anyone, avoiding personal bias.
- Skepticism: Claims must be backed by evidence, evaluated critically.
- Openness: Transparent reporting of methods for reliability verification.
- Tentativeness: Scientific knowledge is provisional and subject to revision based on new evidence.
- Independence: Authority claims must be supported by evidence, not just their status.
Assumptions of Science
- Nature is Organized: There are general laws explaining natural phenomena.
- Determinism: Knowledge allows prediction of behavior.
- Solvable Problems: Science only addresses questions that can be empirically tested.
Goals of Psychology
- Describe Behavior: Identify how and when behaviors occur.
- Explain Behavior: Seek understanding of the causes of behaviors.
- Predict Behavior: Anticipate future behaviors.
- Control Behavior: Modify behaviors as needed.
Scientific vs Non-Scientific Theories
- Theory: A well-structured set of propositions summarizing knowledge.
- Hypothesis: A specific, testable prediction derived from theories.
Types of Research Methods
- Basic Research: Knowledge for understanding fundamental principles.
- Applied Research: Addresses specific problems in practical contexts.
Experimental Design
- True Randomized Experiments: Allow causality inference through manipulation of independent variables (IVs).
- Control Groups: Essential for a comparative basis in experiments.
Experimental Variables
- Independent Variable (IV): The manipulated factor in an experiment.
- Dependent Variable (DV): The measurement affected by the IV.
- Confounding Variables: Factors that may interfere with the effect of the IV.
Criteria for Causality
- Relationship: Correlation must exist between variables.
- Time Order: The cause must precede the effect.
- Discount Alternative Causes: Other explanations must be ruled out.
Measurement Scales
- Nominal: Categorizes without order (e.g. gender).
- Ordinal: Ranks data without specific intervals (e.g. race results).
- Interval: Ranks with equal distances between points (e.g. temperature).
- Ratio: Same as interval but has an absolute zero (e.g. age).
Measurement Issues
- Reliability: Consistency of measurements over time.
- Validity: The degree to which a measure reflects the intended construct.