Structural Equation Modeling ((4 Units))

Catalog description

Prerequisite: Graduate standing in psychology and permission of the instructor. This course serves as a hands-on introduction to advanced statistical analyses roughly falling under the general umbrella term of structural equation modeling (SEM), which generally focuses on modeling relationships among variables. Course topics include regression, path analysis, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and structural regression analysis. This course will emphasize Mplus and will use the software at regular intervals to illustrate each technique through demonstrations and assignments.