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ERIC Number: EJ1038101
Record Type: Journal
Publication Date: 2014-Jul
Pages: 12
Abstractor: As Provided
Reference Count: 29
ISSN: EISSN-1531-7714
Multiple-Group Confirmatory Factor Analysis in R--A Tutorial in Measurement Invariance with Continuous and Ordinal Indicators
Hirschfeld, Gerrit; von Brachel, Ruth
Practical Assessment, Research & Evaluation, v19 n7 Jul 2014
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.
Dr. Lawrence M. Rudner. e-mail:; Web site:
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A