Measurement equivalence: A comparison of methods based on confirmatory factor analysis and item response theory.
Abstract
Current interest in the assessment of measurement equivalence emphasizes 2 major methods of analysis. The authors offer a comparison of a linear method (confirmatory factor analysis) and a nonlinear method (differential item and test functioning using item response theory) with an emphasis on their methodological similarities and differences. The 2 approaches test for the equality of true scores (or expected raw scores) across 2 populations when the latent (or factor) score is held constant. Both approaches can provide information about when measurement nonequivalence exists and the extent to which it is a problem. An empirical example is used to illustrate the 2 approaches.
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- Measurement invariance: Review of practice and implicationsSchmitt, Neal, Kuljanin, Goran · 2008 · Human Resource Management Review
- Racial differences in employee retention: Are diversity climate perceptions the key?McKAY, PATRICK F., AVERY, DEREK R., TONIDANDEL, SCOTT, MORRIS, MARK A., HERNANDEZ, MORELA, HEBL, MICHELLE R. · 2007 · Personnel Psychology
- Beyond protest and discontent: A cross‐national analysis of the effect of populist attitudes and issue positions on populist party supportVan Hauwaert, Steven M., Van Kessel, Stijn · 2018 · European Journal of Political Research
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Measurement equivalence: A comparison of methods based on confirmatory factor analysis and item response theory. https://app.cochat.ai/papers/10.1037//0021-9010.87.3.517
- The paper
- Raju, N. S., Laffitte, L. J., & Byrne, B. M. (2002). Measurement equivalence: A comparison of methods based on confirmatory factor analysis and item response theory. Journal of Applied Psychology. https://doi.org/10.1037//0021-9010.87.3.517
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