English title: Bayesian tests of measurement invariance
Author(s): A. J. Verhagen - J. P. Fox -
Type: Journal article
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.
From page no: 383
To page no: 401
Journal: British Journal of Mathematical & Statistical Psychology