Journal article
Authors list: Davidov, E; Dülmer, H; Schlüter, E; Schmidt, P; Meuleman, B
Publication year: 2012
Pages: 558-575
Journal: Journal of Cross-Cultural Psychology
Volume number: 43
Issue number: 4
ISSN: 0022-0221
DOI Link: https://doi.org/10.1177/0022022112438397
Publisher: SAGE 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 style: Davidov, 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 style: Davidov, 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