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有序项目反应理论×差异项目功能 (DIF)×
领域心理测量学心理测量学
方法族Latent structureLatent structure
起源年份19691970s–1993
提出者Fumiko Samejima (Graded Response Model, 1969); Gerhard Fischer & Georg Rasch lineage for partial creditWilliam H. Angoff and colleagues (ETS); systematized by Holland & Wainer
类型Probabilistic latent trait model for ordered polytomous responsesItem-level bias detection
开创性文献Samejima, F. (1969). Estimation of latent ability using a response pattern of graded scores. Psychometrika Monograph Supplement, 34(4, Pt. 2), 1–97. link ↗Holland, P. W. & Wainer, H. (Eds.) (1993). Differential Item Functioning. Lawrence Erlbaum Associates. ISBN: 978-0805809589
别名polytomous IRT, ordinal IRT models, graded response models, ordinal latent trait modelsDIF, item bias analysis, measurement non-equivalence, item-level measurement bias
相关65
摘要Ordinal item response theory (ordinal IRT) comprises a family of probabilistic models — most notably the Graded Response Model and the Partial Credit Model — that relate a respondent's standing on a latent trait to the probability of choosing each ordered response category on a polytomous item. It extends classical IRT beyond dichotomous items to the Likert-type and rating-scale items that dominate psychometric measurement.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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ScholarGate方法对比: Ordinal IRT · Differential Item Functioning. 于 2026-06-18 检索自 https://scholargate.app/zh/compare