方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 有序微分项目功能 (Ordinal DIF)× | 差异项目功能 (DIF)× | |
|---|---|---|
| 领域 | 心理测量学 | 心理测量学 |
| 方法族 | Latent structure | Latent structure |
| 起源年份≠ | 1999-2001 | 1970s–1993 |
| 提出者≠ | Zumbo (logistic extension) and Penfield (Mantel generalization) | William H. Angoff and colleagues (ETS); systematized by Holland & Wainer |
| 类型≠ | Item bias detection for ordered-category items | Item-level bias detection |
| 开创性文献≠ | Zumbo, B. D. (1999). A handbook on the theory and methods of differential item functioning (DIF): Logistic regression modeling as a unitary framework for binary and Likert-type (ordinal) item scores. Ottawa: Directorate of Human Resources Research and Evaluation, Department of National Defense. link ↗ | Holland, P. W. & Wainer, H. (Eds.) (1993). Differential Item Functioning. Lawrence Erlbaum Associates. ISBN: 978-0805809589 |
| 别名 | ordinal DIF, polytomous DIF, DIF for ordered categories, ordinal logistic DIF | DIF, item bias analysis, measurement non-equivalence, item-level measurement bias |
| 相关≠ | 6 | 5 |
| 摘要≠ | Ordinal differential item functioning analysis detects whether an ordered-category item (such as a Likert-scale question) functions differently across demographic or cultural groups after controlling for the latent trait being measured. It extends classical binary DIF methods to polytomous response formats common in psychological and educational scales. | 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 ↗ |
|
|