Improving Multiple-Group confirmatory factor analysis in R – A tutorial in measurement invariance with continuous and ordinal indicators
- 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.
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| Author: | Gerrit Hirschfeld, Ruth von Brachel |
|---|---|
| Title (English): | Improving Multiple-Group confirmatory factor analysis in R – A tutorial in measurement invariance with continuous and ordinal indicators |
| URN: | urn:nbn:de:bsz:959-opus-23965 |
| DOI: | https://doi.org/10.7275/qazy-2946 |
| ISSN: | 1531-7714 |
| Parent Title (English): | Practical Assessment, Research & Evaluation |
| Document Type: | Article |
| Language: | English |
| Year of Completion: | 2014 |
| Release Date: | 2021/08/17 |
| Volume: | 19 |
| Page Number: | 12 |
| Faculties: | Fakultät WiSo |
| DDC classes: | 100 Philosophie und Psychologie / 150 Psychologie |
| Review Status: | Veröffentlichte Fassung/Verlagsversion |
| Licence (German): |  Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International |