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. Finally, we discuss some of the software, and list usefulhandbooks and Internet is Structural Equation Modeling ? Structural Equation Modeling , or SEM, is a very general statistical Modeling technique,which is widely used in the behavioral sciences.

Equation Modeling or SEM. SEM is a powerful technique that can combine complex path models with latent variables (factors). Using SEM, researchers can specify confirmatory factor analysis models, regression models, and complex path models. We present the basic elements of a structural equation model, introduce the estimation technique, which

Loading..

Tags:

  Modeling, Structural, Equations, Complex, Structural equation modeling

Information