Structural Equation Modeling

Catalog description

The course introduces one of the newer multivariate techniques, structural equation modeling. This technique builds upon and extends concepts introduced in earlier courses related to causal inference, regression, and factor analysis. The family of methods known as path analysis, latent variable analysis, factor analysis, causal modeling, and model comparison are covered. No prior experience with this technique is expected, and the course provides both a theoretical and practical introduction. The software package R is used for understanding, applying, and exploring structural models.