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Inwariancja pomiarowa dla zmiennych polytomicznych×Różnicowe funkcjonowanie pozycji testowej (DIF)×
DziedzinaPsychometriaPsychometria
RodzinaLatent structureLatent structure
Rok powstania2000–20041970s–1993
TwórcaRoger E. Millsap, Robert J. VandenbergWilliam H. Angoff and colleagues (ETS); systematized by Holland & Wainer
TypMulti-group confirmatory testItem-level bias detection
Źródło pierwotneMillsap, R. E. & Kwok, O.-M. (2004). Evaluating the impact of partial factor loading and intercept invariance on selection utility. Psychological Methods, 9(2), 200–215. link ↗Holland, P. W. & Wainer, H. (Eds.) (1993). Differential Item Functioning. Lawrence Erlbaum Associates. ISBN: 978-0805809589
Inne nazwyPMI, ordinal measurement invariance, polytomous factorial invariance, polytomous multi-group measurement invarianceDIF, item bias analysis, measurement non-equivalence, item-level measurement bias
Pokrewne55
PodsumowaniePolytomous measurement invariance testing evaluates whether a scale with ordered categorical (polytomous) response options — such as Likert-type items — measures the same latent construct in the same way across two or more groups. It extends classical multi-group CFA invariance testing to properly account for the ordinal nature of item responses, ensuring that group comparisons of latent means or factor structures are substantively valid.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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ScholarGatePorównaj metody: Polytomous Measurement Invariance · Differential Item Functioning. Pobrano 2026-06-18 z https://scholargate.app/pl/compare