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Using a multilevel structural equation modeling approach to explain cross-cultural measurement noninvariance

[journal article]

Davidov, Eldad; Dülmer, Hermann; Schlüter, Elmar; Schmidt, Peter; Meuleman, Bart

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Please use the following Persistent Identifier (PID) to cite this document:http://nbn-resolving.de/urn:nbn:de:0168-ssoar-444854

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Abstract Testing for invariance of measurements across groups (such as countries o r 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 non invariance. For the illustration of the method, we use data from the second round of the European Social Survey (ESS). (author's abstract)
Keywords statistical analysis; multi-level analysis; context analysis; methodological research; data quality; intercultural comparison; comparative research; European Social Survey
Classification Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Free Keywords Strukturgleichungsmodell; configural, metric, and scalar invariance; multilevel confirmatory factor analysis (CFA); multilevel structural equation modeling (SEM)
Document language English
Publication Year 2012
Page/Pages p. 558-575
Journal Journal of Cross-Cultural Psychology, 43 (2012) 4
DOI http://dx.doi.org/10.1177/0022022112438397
ISSN 0022-0221
Status Published Version; peer reviewed
Licence Deposit Licence - No Redistribution, No Modifications
This publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence (funded by the DFG, German Research Foundation) respectively.