Types of Empirical Methods:
Direct (DV): Cannot be manipulated.
Indirect (IV): Can be manipulated.
Experiment: A strategy of empirical investigation aimed to understand human behavior.
Describe Behavior:
Initial task to describe behavior.
Example: Human aggression - understanding its nature.
Explain Behavior:
Identify causes of behavior.
Example: The causes behind the actions of admired public figures who struggle with mental illness.
Predict Behavior:
Use of standardized tests for predicting the likelihood of success in situations like college.
Control Behavior:
To influence or change behavior to create positive improvements.
Goals:
Description: Self-explanatory, gathering details.
Prediction: Utilizing regression reports via questionnaires to show probabilities.
Explanation: Finding causal relationships in behavior.
Control: Focus on controlled experimental research efforts.
Independent Variable (IV): Example includes physical attractiveness.
Interaction with subjects and confederates.
Dependent Variable (DV): Reflects human behavior.
Investigates if attractiveness influences behaviors or attitudes.
Data Organization:
Statements should summarize, organize, and explain the IV's effects on the DV.
Definition of a Theory:
A phenomenon of interest.
A storehouse of information summarizing what is known about psychological phenomena.
Based on extensive current research, with the understanding that new info will emerge.
Theories evolve; they are not absolute truths.
Modification of Theories:
Theories can be rejected when they become inaccurate over time due to new findings.
Example: Frustration-Aggression Theory - how initial research supported it but newer findings indicate inaccuracies.
Theories are revised with new information or findings.
Research studies may start without a theory to discover new relationships.
Importance of testing existing theories for accuracy through continuous research.
Examples of alternative theories:
Berkowitz’s Theory of Aggression, Self-perception Theory, and Self-Affirmation Theory.
Convergence of Evidence:
Different sources supporting the same conclusion enhances reliability.
Program of Research: A series of evaluations building on specific topics.
Hypothesis Development:
Hypotheses can arise from observations or issues, not strictly from theories.
Experimental Design:
Formulates hypotheses and shapes data collection strategy.
A Priori Hypothesis: Predictions made before data collection.
Posthoc Hypothesis: Predictions formulated after reviewing results.
Sampling: Selecting a representative sample according to population characteristics.
Data Representation:
Qualitative Data: Non-numerical data informing experiments.
Quantitative Data: Numerical data supporting statistical analyses.
Variable Definition:
Variables have variations and can change; independent variable presumed to produce effects.
Manipulation: Adjusting the independent variable to observe its effects.
Levels of IV: Different conditions manipulated in an experiment, such as varying sweetness in coffee.
Organismic Variables: Pre-existing characteristics of participants.
Importance of Experimental Methods: Essential for understanding human behavior.
Core Assumptions:
Determinism: Behavior is influenced by specific causes.
Discoverability: We can understand human behaviors through inquiry.
Objectivity: Gaining insights via direct observation.
Establishing Causality:
Must demonstrate correlation (covariation), establish time precedence, and rule out alternative explanations.
Nonscientific Methods: Pseudo-sciences can misrepresent findings (e.g., astrology).
Theory Evaluation:
Need continual modification based on new evidence.
Source of research ideas: Observations, serendipitous findings, and literature from past studies.
Writing Guides: Importance of literature reviews and historical context in contemporary research.