Structural Equation Models and Latent Variables: An Introduction
This course will introduce participants to Structural Equation Models (SEMs) with and without latent variables. It provides an overview of the statistical theory underlying SEMs and practice with SEM computer software. The topics include path analysis, confirmatory factor analysis, simultaneous equation models (recursive and nonrecursive), incorporating multiple indicators and measurement error into models, alternative estimators, model identification, and assessing model fit.
Prerequisites: The course does not require prior experience with SEM software. Participants should have strong backgrounds in matrix algebra, regression analysis, and factor analysis.
Fee: Members = $1700; Non-members = $3200