EFOP 3417 - STRUCTURAL EQUATION MODELING

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EFOP 3417 - STRUCTURAL EQUATION MODELING

Credits: 3.0

This course will introduce structural equation modeling (SEM). Some fundamental materials necessary for SEM will be reviewed; i.e. Matrix algebra, covariance algebra, multiple regression; and factor analysis. SEM is a family of techniques. Some of the different SEM techniques that will be discussed include path analysis, confirmatory factor analysis, general SEM, and mediation/moderation models. Advance SEM techniques will also be discussed, e.g. Mean and covariance SEM, latent growth curve models, multi-sample/multi-group SEM, dealing with missing and non-normal data, and mixture modeling.