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%T Using a multilevel structural equation modeling approach to explain cross-cultural measurement noninvariance
%A Davidov, Eldad
%A Dülmer, Hermann
%A Schlüter, Elmar
%A Schmidt, Peter
%A Meuleman, Bart
%J Journal of Cross-Cultural Psychology
%N 4
%P 558-575
%V 43
%D 2012
%K Strukturgleichungsmodell; configural, metric, and scalar invariance; multilevel confirmatory factor analysis (CFA); multilevel structural equation modeling (SEM)
%@ 0022-0221
%> https://nbn-resolving.org/urn:nbn:de:0168-ssoar-444854
%X 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)
%C USA
%G en
%9 Zeitschriftenartikel
%W GESIS - http://www.gesis.org
%~ SSOAR - http://www.ssoar.info