PSC 204B

Causal Modeling of Correlational Data

Examination of how to make causal inferences from correlational data in the behavioral sciences. Emphasis is on testing rival causal models using correlations among observed variables. Beginning with multiple regression analysis, discussion advances to path analysis and related techniques.

Units: 5.0

Hours: Lecture—4 hour(s); Laboratory—2 hour(s).