Using a Multilevel Structural Equation Modeling Approach to Explain Cross-Cultural Measurement Noninvariance  

Oleh:

Davidov, Eldad ; Dulmer, Hermann ; Schluter, Elmar ; Schmidt, Peter ; Meuleman, Bart

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Journal of Cross-Cultural Psychology (http://journals.sagepub.com/home/jcca) vol. 43 no. 4 (May 2012), page 558-575.
Topik: Con-figural; Metric and Scalar Invariance; Multilevel Confirmatory Factor Analysis (CFA)/Multilevel Structural Equation Modeling (SEM); European Social Survey; Comparisons Over Time and/or Countries
Fulltext: JCCP_43_04_558.pdf (900.23KB)

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: JJ86.28 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

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 non-invariance. For the illustration of the method, we use data from the second round of the European Social Survey (ESS).

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