PSYC 717 - Structural Equation Modeling

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This course will build upon students’ knowledge of multivariate statistical analysis by introducing them to one of the newer multivariate techniques - structural equation modeling. This technique encompasses an entire family of methods known by many names, among them covariance structure analysis, latent variable analysis, confirmatory factor analysis, path analysis, and causal modeling. An understanding of structural equation modeling will be developed by relating it to students’ previous knowledge of multiple linear regression and exploratory factor analysis, and expanding to allow for correlated and causally related latent constructs.
Prerequisite: Prerequisite: PSYC 711.