Behavioral Science Methods Notes

Public Observability and the Scientific Method
  • Core idea: What's manipulated and measured in science must be publicly observable to verify results.
  • Thoughts and feelings are not directly observable; verbal reports are observable proxies but don't guarantee true mental states.
  • Historically, psychology used controlled environments to study observable behavior.
  • Living organisms have "memory" (prior experiences influence future states), unlike atoms in physics/chemistry, requiring consideration of history in experiments.
  • Three foundational methods: Descriptive, Correlational, Experimental.
Descriptive Methods
  • Used for observing phenomena; don't establish causality.
    • Case studies: Intense focus on a single subject for rare phenomena (less common now).
    • Manualistic observation: Controlled observation in everyday settings.
    • Naturalistic observation: Observing behavior in natural environments.
    • Surveys: Snapshot of opinions/behaviors at one time. Limitations: momentary, sensitive to wording, susceptible to bias (e.g., social desirability).
Correlational Method
  • Measures relationships between two or more variables when manipulation is unethical or impractical.
  • Shows strength and direction of a relationship, but does not imply causation (due to third variables, reverse causation, or coincidence).
  • Common pitfall: Inferring cause-and-effect from correlation.
Experimental Method (Overview and Context)
  • Considered the most rigorous for establishing causality by manipulating independent variables, controlling factors, and measuring effects on dependent variables.
  • Feasibility and ethics are key for its application.
Ethical, Philosophical, and Practical Implications
  • Ethical constraints dictate study design (e.g., personality, drug use).
  • Public observability ensures transparency and replicability.
  • Memory in living systems requires longitudinal/sequential designs.
  • Verbal reports are limited by accuracy and bias.
  • Survey sensitivity highlights design importance.
  • Distinguishing observed behavior from inferred internal states is crucial.
Key Takeaways
  • Public observability is central: everything must be observable.
  • Thoughts are not directly observable; verbal reports are cautious proxies.
  • Descriptive methods provide rich data but limited causal inference.
  • Correlational methods show relationships but not causation.
  • Experimental methods aim for causality via variable control, when ethical.
  • Behavioral sciences account for memory and history in living systems, differentiating them from non-biological sciences.
  • There are approximately 8×1098\times 10^{9} people on the planet today, relevant for generalizability of descriptive studies.