Causal Modeling

Prerequisite: Permission of instructor. Introduction to structural equation modeling, including latent variables; confirmatory factor analysis; diagnosing model fit and testing alternative models; and multisample designs. Multi-level (or hierarchical) linear models as related to multisample designs (e.g., identifying hierarchical structures, random compared with fixed effects); variance components; and designs with repeated measurements.