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Solidna analiza pozycji testowych×Różnicowe funkcjonowanie pozycji testowej (DIF)×
DziedzinaPsychometriaPsychometria
RodzinaLatent structureLatent structure
Rok powstania1980s–2000s1970s–1993
TwórcaRobust methods tradition (Huber, Hampel, Tukey); applied to item analysis by Wilcox and colleaguesWilliam H. Angoff and colleagues (ETS); systematized by Holland & Wainer
TypDiagnostic / item-level evaluationItem-level bias detection
Źródło pierwotneWilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838Holland, P. W. & Wainer, H. (Eds.) (1993). Differential Item Functioning. Lawrence Erlbaum Associates. ISBN: 978-0805809589
Inne nazwyrobust item statistics, outlier-resistant item analysis, robust classical item analysisDIF, item bias analysis, measurement non-equivalence, item-level measurement bias
Pokrewne55
PodsumowanieRobust item analysis applies outlier-resistant statistical methods to the evaluation of individual test or scale items. Instead of classical means and Pearson correlations — both sensitive to extreme scores — it uses trimmed means, Winsorized correlations, or M-estimators to obtain item difficulty and item-total discrimination indices that remain stable when respondent distributions are skewed or contaminated by outliers.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: Robust Item Analysis · Differential Item Functioning. Pobrano 2026-06-16 z https://scholargate.app/pl/compare