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


Davidov, Eldad; Dülmer, Hermann; Schlüter, Elmar; Schmidt, Peter; Meuleman, Bart (2012). Using a multilevel structural equation modeling approach to explain cross-cultural measurement noninvariance. Journal of Cross-Cultural Psychology, 43(4):558-575.

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).

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).

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Sociology
Dewey Decimal Classification:300 Social sciences, sociology & anthropology
Uncontrolled Keywords:configural, metric, and scalar invariance; multilevel confirmatory factor analysis (CFA) / multilevel structural equation modeling (SEM); European Social Survey; comparisons over time and/or countries
Language:English
Date:2012
Deposited On:06 Jul 2012 08:28
Last Modified:07 Dec 2017 14:24
Publisher:Sage Publications
ISSN:0022-0221
Additional Information:Copyright: Sage Publications
Publisher DOI:https://doi.org/10.1177/0022022112438397

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