A Monte Carlo Simulation Study to Assess The Appropriateness of Traditional and Newer Approaches to Test for Measurement Invariance-Reference-Cited by-同舟云学术

A Monte Carlo Simulation Study to Assess The Appropriateness of Traditional and Newer Approaches to Test for Measurement Invariance

Published:2019-01-28 Issue:5 Volume:26 Page:724-744
ISSN:1070-5511
Container-title:Structural Equation Modeling: A Multidisciplinary Journal
language:en
Short-container-title:Structural Equation Modeling: A Multidisciplinary Journal

Author:

Pokropek Artur¹^ORCID,Davidov Eldad²³^ORCID,Schmidt Peter⁴

Affiliation:

1. Polish Academy of Sciences

2. University of Cologne

3. University of Zurich

4. Justus Liebig University Giessen

Funder

Narodowe Centrum Nauki

Publisher

Informa UK Limited

Subject

General Economics, Econometrics and Finance,Sociology and Political Science,Modeling and Simulation,General Decision Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/10705511.2018.1561293

Reference52 articles.

1. Multiple-Group Factor Analysis Alignment

2. Asparouhov, T. & Muthén, B. (2017, April 27). Prior-posterior predictive p-values. Mplus Web Notes: No. 22. Version, 2. Retrieved from http://www.statmodel.com/examples/webnotes/webnote22.pdf

3. On the Performance of Maximum Likelihood Versus Means and Variance Adjusted Weighted Least Squares Estimation in CFA

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