CRIM.7910 — Graduate

Id: 037121 Offering: 1 Credits: 3-3

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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CRIM.7910 — Online and Continuing Education

Id: 037121 Offering: 2 Credits: 3-3

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

Students with a CSCE or UGRD career need permission to take Graduate Level Courses.

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