Introduction to Structural Equation Modeling Using IBM ...

1 Introduction to Structural Equation ModelingUsing IBM SPSS Amos (V22)InformationDur e :2 JoursRef :0G203 FRPrix HT :1 300 Dates de sessionsSur demande. Merci de formation est galementdisponible en formuleintraentreprise ; n'h sitez pas nous consulter pour en savoir to Structural Equation Modeling Using IBM SPSS Amos (V22) is a twoday instructor-led classroom course that guides students through thefundamentals of Using IBM SPSS Amos for the typical data analysis process. Youwill learn the basics of Structural Equation Modeling , drawing Diagrams in AmosGraphics, performing regression and confirmatory factor analysis in Amos,evaluating model fit, and ways to improve model refer to Course Overview for description basic course is for:Analysts with familiarity with Structural Equation ModelingAnyone with little or no experience in Using IBM SPSS AmosPr -requisYou should have.

2 Experience with Linear Regression and Factor AnalysisExperience Using with IBM SPSS Amos is not necessary, though basic familiaritywith Structural Equation Modeling would be to Structural Equation ModelingSome Examples of SEM ModelsTerminology in SEMD rawing Diagrams in Amos GraphicsLaunching Amos Graphics1/3 Drawing the DiagramExample - Sample Factor Analysis Path DiagramExample - Multiple Regression Path DiagramRegression Analysis in AmosSetting up a Regression in AmosRequesting a Linear RegressionRegression OutputDemonstration: Multiple RegressionTesting Model AdequacyImplied versus Sample MomentsRequesting Implied and Sample MomentsConstraining the Regression Weight to ZeroTesting a Hypothesis with the Chi-Square TestDisplaying the Chi-Square Test in the DiagramDegrees of FreedomVerifying the Degrees of FreedomModel IdentificationDemonstration: Testing the Fit of a Path Analysis ModelAdditional Fit Measures in AmosAlternative FIT MeasuresDemonstration: Fitting a Model with Multiple RegressionConfirmatory Factor Analysis in AmosLatent vs.

3 Observed VariablesExploratory vs. Confirmatory Factor AnalysisEstimating and Identifying a Latent Model in CFAR equesting a Confirmatory Factor AnalysisDemonstration of a Confirmatory Factor AnalysisThe General ModelRequesting the General Model2/3 Demonstration: General ModelAnalyzing Data With Missing Values in AmosDemonstration: How to Use the Full Information Maximum Likelihood Methodto Handle Missing ValuesEstimating Means and InterceptsImputing Missing DataDemonstration: Imputing Missing Data in AmosAnalyzing the Imputed Data FilesImproving the Fit of a ModelCorrecting the ModelModification IndexDemonstrating How to Use Modification IndicesTrimming a Model for Better FitDemonstrating How to Trim a Model for Better FitUsing Modification Indices with Missing DataGetting the Best Model with Specification SearchExploratory Factor AnalysisPerforming a Specification SearchDemonstration: Regression AnalysisContactez nous au :Email: l phone: 01 49 97 49 51 Powered by TCPDF ( )3/3