A Direct Comparison Approach for Testing Measurement Invariance
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AbstractMeasurement equivalence/invariance (ME/I) is a condition that should be met before meaningful comparisons of survey results across groups can be made. As an alternative to the likelihood ratio test (LRT), the change in comparative fit index (Delta CFI) rules of thumb, and the modification index (MI), this teaching note demonstrates the procedures for establishing bias-corrected (BC) bootstrap confidence intervals for testing ME/I. Unlike the LRT and Delta CFI methods, which need a different model estimation per item, the BC bootstrap confidence intervals approach can examine item-level ME/I tests using a single model. This method greatly simplifies the search for an invariant item as the reference indicator in the factor-ratio test. Also demonstrated here is how the factor-ratio test and the list-and-delete method can be extended from the metric invariance test to the scalar invariance test. Finally, the BC bootstrap confidence interval procedures for comparing uniqueness variances, factor variances, factor covariances, and latent means across groups are shown.
All Author(s) ListCheung GW, Lau RS
Journal nameOrganizational Research Methods
Year2012
Month4
Day1
Volume Number15
Issue Number2
PublisherSAGE Publications (UK and US)
Pages167 - 198
ISSN1094-4281
eISSN1552-7425
LanguagesEnglish-United Kingdom
Keywordsbootstrapping; factor-ratio test; latent mean comparisons; measurement equivalence/invariance; structural equation modeling
Web of Science Subject CategoriesBusiness & Economics; Management; MANAGEMENT; Psychology; Psychology, Applied; PSYCHOLOGY, APPLIED

Last updated on 2020-29-05 at 00:57