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- Title
Multiple-Group confirmatory factor analysis in R - A tutorial in measurement invariance with continuous and ordinal indicators.
- Authors
Hirschfeld, Gerrit; von Brachel, Ruth
- Abstract
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 the present paper is to provide a tutorial in MG-CFA using the freely available R-packages lavaan, semTools, and semPlot. The combination of these packages enable a highly efficient analysis of the measurement models both for normally distributed as well as ordinal data. Data from two freely available datasets - the first with continuous the second with ordered indicators - will be used to provide a walk-through the individual steps.
- Subjects
CONFIRMATORY factor analysis; STRUCTURAL equation modeling; CROSS-cultural studies; LONGITUDINAL method; ACQUISITION of data
- Publication
Practical Assessment, Research & Evaluation, 2014, Vol 19, Issue 7, p1
- ISSN
1531-7714
- Publication type
Article