(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 design – Manipulates 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.