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序数项目分析×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1950s–1980s1970s–1993
提出者Classical test theory tradition (Guilford, Nunnally, and others)William H. Angoff and colleagues (ETS); systematized by Holland & Wainer
类型Item-level diagnosticItem-level bias detection
开创性文献Nunnally, J. C. & Bernstein, I. H. (1994). Psychometric Theory (3rd ed.). McGraw-Hill. ISBN: 978-0070474659Holland, P. W. & Wainer, H. (Eds.) (1993). Differential Item Functioning. Lawrence Erlbaum Associates. ISBN: 978-0805809589
别名item analysis for ordinal data, polytomous item analysis, Likert item analysis, OIADIF, item bias analysis, measurement non-equivalence, item-level measurement bias
相关65
摘要Ordinal item analysis evaluates each individual item in a rating-scale or Likert-type instrument using descriptive and correlational statistics suited to ordered categorical response formats. It guides item selection and refinement by flagging items with problematic difficulty, poor discrimination, or low corrected item-total correlations before reliability and validity studies proceed.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.
ScholarGate数据集
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  2. 2 来源
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  1. v1
  2. 2 来源
  3. PUBLISHED

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ScholarGate方法对比: Ordinal Item Analysis · Differential Item Functioning. 于 2026-06-17 检索自 https://scholargate.app/zh/compare