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

Journal article | Zeitschriftenartikel

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)

Object Details

• ISSN: 0022-0221
• Extent: Seite(n): 558-575
• Language: Englisch
• Notes: Status: Veröffentlichungsversion; begutachtet (peer reviewed)

References and Relationships

• Bibliographic citation: Journal of Cross-Cultural Psychology, 43(4)

Classification and Topics

• Subject: Sozialwissenschaften, Soziologie ; Erhebungstechniken und Analysetechniken der Sozialwissenschaften ; statistische Analyse ; Mehrebenenanalyse ; Kontextanalyse ; Methodenforschung ; Datenqualität ; interkultureller Vergleich ; vergleichende Forschung ; European Social Survey

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Davidov, Eldad ; Dülmer, Hermann ; Schlüter, Elmar ; Schmidt, Peter ; Meuleman, Bart
• Event: Veröffentlichung
• (where): Vereinigte Staaten von Amerika
• (when): 2012

Further information

• DOI: https://doi.org/10.1177/0022022112438397
• URN: urn:nbn:de:0168-ssoar-444854
• Rights: GESIS - Leibniz-Institut für Sozialwissenschaften. Bibliothek Köln
• Last update: 21.06.2024, 4:27 PM CEST