Journal article

Using a Multilevel Structural Equation Modeling Approach to Explain Cross-Cultural Measurement Noninvariance


Authors listDavidov, E; Dülmer, H; Schlüter, E; Schmidt, P; Meuleman, B

Publication year2012

Pages558-575

JournalJournal of Cross-Cultural Psychology

Volume number43

Issue number4

ISSN0022-0221

DOI Linkhttps://doi.org/10.1177/0022022112438397

PublisherSAGE Publications


Abstract
Testing for invariance of measurements across groups (such as countries or time points) is essential before meaningful comparisons may be conducted. However, when tested, invariance is often absent. As a result, comparisons across groups are potentially problematic and may be biased. In the current study, we propose utilizing a multilevel structural equation modeling (SEM) approach to provide a framework to explain item bias. We show how variation in a contextual variable may explain noninvariance. For the illustration of the method, we use data from the second round of the European Social Survey (ESS).



Citation Styles

Harvard Citation styleDavidov, E., Dülmer, H., Schlüter, E., Schmidt, P. and Meuleman, B. (2012) Using a Multilevel Structural Equation Modeling Approach to Explain Cross-Cultural Measurement Noninvariance, Journal of Cross-Cultural Psychology, 43(4), pp. 558-575. https://doi.org/10.1177/0022022112438397

APA Citation styleDavidov, E., Dülmer, H., Schlüter, E., Schmidt, P., & Meuleman, B. (2012). Using a Multilevel Structural Equation Modeling Approach to Explain Cross-Cultural Measurement Noninvariance. Journal of Cross-Cultural Psychology. 43(4), 558-575. https://doi.org/10.1177/0022022112438397


Last updated on 2025-21-05 at 15:15