Multiple-Group Confirmatory Factor Analysis in R--A Tutorial in Measurement Invariance with Continuous and Ordinal Indicators

• DOI: 10.7275/qazy-2946
• Publication Date: 2014-07-01
• Authors: Gerrit Hirschfeld; Ruth von Brachel
• Keywords: Measurement Invariance

Multiple-group confirmatory factor analysis (MG-CFA) is among the most productive extensions of.structural equation modeling. Many researchers conducting cross-cultural or longitudinal studies are interested in testing for measurement and structural invariance. The aim of present paper to provide a tutorial MG-CFA using freely available R-packages lavaan, semTools, semPlot. combination these packages enable highly efficient models both normally distributed as well ordinal data. Data from two datasets – first with continuous second ordered indicators - will be used walk-through individual steps.