Measurement equivalence: A comparison of methods based on confirmatory factor analysis and item response theory.

Raju, Nambury S., Laffitte, Larry J., Byrne, Barbara M.·2002·Journal of Applied Psychology

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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Cite CoChat for the checks on this page, and the paper for its own findings.

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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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