English title: Bayesian tests of measurement invariance

Author(s): A. J. Verhagen - J. P. Fox -

Language: English

Type: Journal article

Year: 2013


Random item effects models provide a natural framework for the exploration of violations of measurement invariance without the need for anchor items. Within the random item effects modelling framework, Bayesian tests (Bayes factor, deviance information criterion) are proposed which enable multiple marginal invariance hypotheses to be tested simultaneously. The performance of the tests is evaluated with a simulation study which shows that the tests have high power and low Type I error rate. Data from the European social survey are used to test for measurement invariance of attitude towards immigrant items and to show that background information can be used to explain cross-national variation in item functioning.

Volume: 66

Issue: 3

From page no: 383

To page no: 401

Refereed: Yes

DOI: 10.1111/J.2044-8317.2012.02059.X

Journal: British Journal of Mathematical & Statistical Psychology

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