Structural Equation Modeling

Catalog description

This course provides a detailed look at structural equation modeling (SEM) for doctoral students. SEM is a technique for modeling the relationships among multiple latent variables. It includes models that have multiple indicators of constructs (latent variables; confirmatory factor analysis) that have directional relationships among constructs (path analysis; structural equations). The course will cover both conceptual and practical aspects of SEM, with the goal of preparing the student to use SEM in original research and to critically evaluate its use in scholarly work. Further, it introduces the student to partial least squares modeling and to Bayesian approaches in structural equations modeling.