方法对比
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| Differential Item Functioning in Educational Testing× | 差异项目功能 (DIF)× | |
|---|---|---|
| 领域≠ | Education | 心理测量学 |
| 方法族 | Latent structure | Latent structure |
| 起源年份≠ | 1993 | 1970s–1993 |
| 提出者≠ | Educational measurement / test-fairness tradition (Holland, Wainer, Dorans, Thissen) | William H. Angoff and colleagues (ETS); systematized by Holland & Wainer |
| 类型≠ | Test-fairness analysis detecting items that function differently across groups | Item-level bias detection |
| 开创性文献≠ | Holland, P. W., & Wainer, H. (Eds.). (1993). Differential Item Functioning. Lawrence Erlbaum Associates. ISBN: 9780805809725 | Holland, P. W. & Wainer, H. (Eds.) (1993). Differential Item Functioning. Lawrence Erlbaum Associates. ISBN: 978-0805809589 |
| 别名 | Educational DIF Analysis, Item Bias Detection in Tests, Test Fairness DIF, Mantel-Haenszel DIF | DIF, item bias analysis, measurement non-equivalence, item-level measurement bias |
| 相关≠ | 4 | 5 |
| 摘要≠ | Differential item functioning (DIF) analysis is the central statistical tool for evaluating the fairness of test items in education. An item shows DIF when examinees of equal ability but different group membership — for example by gender, race/ethnicity, or language background — have unequal probabilities of answering it correctly. By conditioning on ability before comparing groups, DIF analysis separates genuine item bias from real group differences in proficiency, and flags items for expert review before they affect high-stakes decisions. | 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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