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Journal Article
Pokropek, Artur 
ORCID: 0000-0002-5899-2917, Schmidt, Peter and Davidov, Eldad ORCID: 0000-0002-3396-969X
(2020).
Choosing Priors in Bayesian Measurement Invariance Modeling: A Monte Carlo Simulation Study.
Structural Equation Modeling: A Multidisciplinary Journal, 27 (5).
pp. 750-764.
New York, NY:
Psychology Press, Taylor & Francis Group.
ISSN 1070-5511
Pokropek, Artur ORCID: 0000-0002-5899-2917, Davidov, Eldad ORCID: 0000-0002-3396-969X and Schmidt, Peter
(2019).
A Monte Carlo Simulation Study to Assess The Appropriateness of Traditional and Newer Approaches to Test for Measurement Invariance.
Struct. Equ. Modeling, 26 (5).
S. 724 - 745.
ABINGDON:
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD.
ISSN 1532-8007
Pokropek, Artur ORCID: 0000-0002-5899-2917, Davidov, Eldad ORCID: 0000-0002-3396-969X and Schmidt, Peter
(2019).
A Monte Carlo Simulation Study to Assess The Appropriateness of Traditional and Newer Approaches to Test for Measurement Invariance.
Structural Equation Modeling: A Multidisciplinary Journal, 26 (5).
pp. 724-744.
New York, NY:
Psychology Press, Taylor & Francis Group.
ISSN 1070-5511
Meuleman, Bart ORCID: 0000-0002-0384-5995, Zoltak, Tomasz, Pokropek, Artur ORCID: 0000-0002-5899-2917, Davidov, Eldad ORCID: 0000-0002-3396-969X, Muthen, Bengt, Oberski, Daniel L., Billiet, Jaak and Schmidt, Peter
.
Why Measurement Invariance is Important in Comparative Research. A Response to Welzel et al. (2021).
Sociol. Methods. Res..
THOUSAND OAKS:
SAGE PUBLICATIONS INC.
ISSN 1552-8294