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Structural Equation Modeling with categorical variables

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Department of Data AnalysisGhent UniversityStructural Equation Modeling with categoricalvariablesYves RosseelDepartment of Data AnalysisGhent UniversitySummer School Using R for personality researchAugust 23 28, 2014Bertinoro, ItalyYves RosseelStructural Equation Modeling with categorical variables1 / 96Department of Data AnalysisGhent UniversityContents1 Structural Equation Modeling with categorical data analysis . . . . . . . . . . . . . . . . . . . . . . logistic regression model . . . . . . . . . . . . . . . . . . . . probit regression model . . . . . . . . . . . . . . . . . . . . with an ordinal response . . . . . . . . . . . . . . . . with categorical (endogenous) variables : two approaches . . group analysis with categorical data.

Department of Data Analysis Ghent University endogenous versus exogenous •the categorical variables are exogenous only – for example, ANOVA – standard approach: convert to dummy variables (if the categorical vari-

  Structural, Equations, Structural equation

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