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| Differential Item Functioning in Educational Testing× | 項目応答理論における項目特性曲線(ICC)の差× | |
|---|---|---|
| 分野≠ | Education | 心理測定学 |
| 系統 | Latent structure | Latent structure |
| 提唱年≠ | 1993 | 1970s–1993 |
| 提唱者≠ | Educational measurement / test-fairness tradition (Holland, Wainer, Dorans, Thissen) | William H. Angoff and colleagues (ETS); systematized by Holland & Wainer |
| 種類≠ | Test-fairness analysis detecting items that function differently across groups | Item-level bias detection |
| 原典≠ | 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 |
| 別名 | 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 |
| 関連≠ | 4 | 5 |
| 概要≠ | 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. |
| ScholarGateデータセット ↗ |
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