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Diferenciamento de Itens em Testes Adaptativos Computadorizados (CAT-DIF)×Differential Item Functioning×
ÁreaPsicometriaPsicometria
FamíliaLatent structureLatent structure
Ano de origem1990s–2000s1970s–1993
Autor originalWainer, Zwick, and colleagues in the CAT and DIF literaturesWilliam H. Angoff and colleagues (ETS); systematized by Holland & Wainer
TipoItem bias detection in adaptive testingItem-level bias detection
Fonte seminalZwick, R., Thayer, D. T., & Mazzeo, J. (1997). Describing and categorizing DIF in polytomous items. Journal of Educational Measurement, 34(4), 261–285. DOI ↗Holland, P. W. & Wainer, H. (Eds.) (1993). Differential Item Functioning. Lawrence Erlbaum Associates. ISBN: 978-0805809589
Outros nomesCAT DIF analysis, adaptive test DIF, DIF in computerized adaptive testing, CAT item bias detectionDIF, item bias analysis, measurement non-equivalence, item-level measurement bias
Relacionados65
ResumoCAT-DIF identifies items in a computerized adaptive test that behave differently across demographic or group subpopulations after controlling for overall ability. Because adaptive algorithms select items non-randomly based on each examinee's estimated proficiency, standard DIF detection methods require adjustment before they can be validly applied in this context.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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ScholarGateComparar métodos: CAT-DIF · Differential Item Functioning. Recuperado em 2026-06-15 de https://scholargate.app/pt/compare