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Using a multilevel structural equation modeling approach to explain cross-cultural measurement noninvariance
[journal article]
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 curre... view more
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)... view less
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
https://doi.org/10.1177/0022022112438397
ISSN
0022-0221
Status
Published Version; peer reviewed
Licence
Deposit Licence - No Redistribution, No Modifications
With the permission of the rights owner, this publication is under open access due to a (DFG-/German Research Foundation-funded) national or Alliance license.