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| Test bayésien d'invariance de la mesure× | Fonctionnement différentiel des items (FDI)× | |
|---|---|---|
| Domaine | Psychométrie | Psychométrie |
| Famille | Latent structure | Latent structure |
| Année d'origine≠ | 2013 | 1970s–1993 |
| Auteur d'origine≠ | Bengt Muthen, Tihomir Asparouhov, Rens Van de Schoot | William H. Angoff and colleagues (ETS); systematized by Holland & Wainer |
| Type≠ | Bayesian multigroup latent variable test | Item-level bias detection |
| Source fondatrice≠ | Van de Schoot, R., Kluytmans, A., Tummers, L., Lugtig, P., Hox, J., & Muthen, B. (2013). Facing off with Scylla and Charybdis: a comparison of scalar, partial, and the novel possibility of approximate measurement invariance. Frontiers in Psychology, 4, 770. DOI ↗ | Holland, P. W. & Wainer, H. (Eds.) (1993). Differential Item Functioning. Lawrence Erlbaum Associates. ISBN: 978-0805809589 |
| Alias | Bayesian MI, approximate measurement invariance, Bayesian multigroup CFA invariance, BSEM measurement invariance | DIF, item bias analysis, measurement non-equivalence, item-level measurement bias |
| Apparentées≠ | 6 | 5 |
| Résumé≠ | Bayesian measurement invariance testing evaluates whether a scale's factor loadings and item intercepts are equivalent across groups, using a Bayesian framework that allows parameters to deviate from strict equality by a small, probabilistically specified amount rather than imposing an exact constraint. | Differential item functioning identifies test or survey items that behave differently for examinees from different groups — such as gender, ethnicity, or language background — after controlling for the underlying ability or trait being measured. DIF analysis is essential for fairness evaluation in educational testing and psychological scale development. |
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