— Causal Modeling of Correlational Data

Prerequisites & course information

Course Description: 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. Learning Activities: Lecture 4 hour(s), Laboratory 2 hour(s). Credit Limitation(s): Not open for credit to students who have completed PSC 207A. Grade Mode: Letter. Learning Activities: Lecture 4 hour(s), Laboratory 2 hour(s). Credit Limitation(s): Not open for credit to students who have completed PSC 207A. Grade Mode: Letter.