Publication: A Monte Carlo Simulation Study to Assess The Appropriateness of Traditional and Newer Approaches to Test for Measurement Invariance
A Monte Carlo Simulation Study to Assess The Appropriateness of Traditional and Newer Approaches to Test for Measurement Invariance
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Pokropek, A., Davidov, E., & Schmidt, P. (2019). A Monte Carlo Simulation Study to Assess The Appropriateness of Traditional and Newer Approaches to Test for Measurement Invariance. Structural Equation Modeling, 26(5), 724–744. https://doi.org/10.1080/10705511.2018.1561293
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Several structural equation modeling (SEM) strategies were developed for assessing measurement invariance (MI) across groups relaxing the assumptions of strict MI to partial, approximate, and partial approximate MI. Nonetheless, applied researchers still do not know if and under what conditions these strategies might provide results that allow for valid comparisons across groups in large-scale comparative surveys. We perform a comprehensive Monte Carlo simulation study to assess the conditions under which various SEM methods are appro
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- Pokropek, Artur
- Davidov, Eldad
- Schmidt, Peter
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Pokropek, A., Davidov, E., & Schmidt, P. (2019). A Monte Carlo Simulation Study to Assess The Appropriateness of Traditional and Newer Approaches to Test for Measurement Invariance. Structural Equation Modeling, 26(5), 724–744. https://doi.org/10.1080/10705511.2018.1561293
