Id: 037121
Credits Min: 3
Credits Max: 3
Description
This course is an introduction to structural equation modeling (SEM). SEM represents a general approach to the statistical examination of the fit of a theoretical model to empirical data. Topics include observed variable (path) analysis, latent variable models (e.g., confirmatory factor analysis), and latent variable SEM analyses.
Prerequisites
Pre-Req: CRIM 6900 Advanced Regression Analysis.
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