An Introduction in Structural Equation Modeling

Introduction Structural Equation Modeling1 Family Science Review, 11, Introduction to Structural Equation HoxUniversity of Amsterdam/Utrecht BechgerCITO, ArnhemAbstract This article presents a short and non-technical Introduction to StructuralEquation Modeling or SEM. SEM is a powerful technique that can combine complex pathmodels with latent variables (factors). Using SEM, researchers can specify confirmatoryfactor analysis models, regression models, and complex path models. We present thebasic elements of a Structural Equation model, introduce the estimation technique, whichis most often maximum Likelihood (ML), and discuss some problems concerning theassessment and improvement of the model fit, and model extensions to multigroupproblems including factor means.

assessment and improvement of the model fit, and model extensions to multigroup problems including factor means. Finally, we discuss some of the software, and list useful handbooks and Internet sites. What is Structural Equation Modeling? Structural Equation Modeling, or SEM, is a very general statistical modeling technique,

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  Modeling, Structural, Equations, Structural equation modeling, Multigroup

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