(UNFINISHED) Pg. 195-202; 204-206 Notes

Longitudinal Study

  • Research that follows the same group of participants over a long period, measuring variables at multiple time points to detect changes.

🧪 Experiment with Longitudinal Design

  • A true experiment (with IV and DV) that is conducted over an extended period, measuring effects at multiple time points.

  • Combines experimental control with long-term tracking.

Difference: Longitudinal Study vs. Experiment with Longitudinal Design

  • Longitudinal study – Often observational; no manipulation of variables; tracks natural changes over time.

  • Experiment with longitudinal designManipulates an independent variable and measures its effect over time, allowing for causal conclusion

    • Cohort Effects: Differences in research results caused by participants being from different generations or life experiences, not by age or time passing.

  • Example: A 70-year-old today grew up with different technology than a 20-year-old, which may affect test performance.

Follow-up

  • Additional data collection after the main study to see if effects persist, change, or disappear over time.

Cross-sectional Study

  • Research that collects data from different groups at one point in time to compare them.

  • Example: Comparing memory ability in 20-, 40-, and 60-year-olds in a single session.

Attrition

  • The loss of participants from a study over time.

  • Can reduce validity if those who drop out differ in important ways from those who remain.