DOI
https://doi.org/10.7275/qazy-2946
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. Accessed 20,554 times on https://pareonline.net from July 09, 2014 to December 31, 2019. For downloads from January 1, 2020 forward, please click on the PlumX Metrics link to the right.
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Recommended Citation
Hirschfeld, Gerrit and von Brachel, Ruth
(2019)
"Improving Multiple-Group confirmatory factor analysis in R – A tutorial in measurement invariance with continuous and ordinal indicators,"
Practical Assessment, Research, and Evaluation: Vol. 19, Article 7.
DOI: https://doi.org/10.7275/qazy-2946
Available at:
https://scholarworks.umass.edu/pare/vol19/iss1/7