Transcription of An Introduction in Structural Equation Modeling
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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.
representation of a confirmatory factor analysis model, with six observed variables and two factors. Confirmatory Factor Analysis The model in Figure 1 is a confirmatory factor model for data collected by Holzinger and Swineford, extracted from the AMOS manual (Arbucle, 1997, p. 375, see also Jöreskog & Sörbom, 1989, p. 247).
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