An Introduction in Structural Equation Modeling
Introduction Structural Equation Modeling1Family 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.
We can also conduct a statistical chi-square test to assess how well the hypothesized model fits the data. If the chi-square is highly significant, the hypothesized ... Introduction Structural Equation Modeling 5 in exploratory factor analysis. The squared multiple correlations (SMC’s) in table 1 are in fact the communalities of the variables ...
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