Transcription of Structural Equation Modeling with categorical variables
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Structural Equation Modeling with categorical variables
Department of Data AnalysisGhent UniversityStructural Equation Modeling with categoricalvariablesYves RosseelDepartment of Data AnalysisGhent UniversitySummer School Using R for personality researchAugust 23 28, 2014 Bertinoro, ItalyYves RosseelStructural Equation Modeling with categorical variables1 / 96 Department 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 .. information approach: marginal maximum likelihood .. : pairwise maximum likelihood ..94 Yves RosseelStructural Equation Modeling with categorical variables2 / 96 Department of Data AnalysisGhent University1 Structural Equation Modeling with categorical categorical data analysiscontinuous/numerical data interval or ratio scale ( income, height, weight, age, reaction time, bloodpressure.)
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-
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