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。
| 项目功能差异 (DIF) 分析× | 探索性因子分析（EFA）× | |
|---|---|---|
| 领域≠ | 心理测量学 | 统计学 |
| 方法族 | Latent structure | Latent structure |
| 起源年份≠ | 1988 | — |
| 提出者≠ | Paul W. Holland & Dorothy T. Thayer (Mantel-Haenszel approach, 1988) | — |
| 类型≠ | Item-level fairness / measurement equivalence analysis | Latent variable / dimension reduction |
| 开创性文献≠ | Holland, P. W. & Thayer, D. T. (1988). Differential Item Performance and the Mantel-Haenszel Procedure. ETS Research Report Series. link ↗ | Fabrigar, L. R., Wegener, D. T., MacCallum, R. C. & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299. DOI ↗ |
| 别名≠ | Madde Yanlılık Analizi (DIF — Differential Item Functioning), item bias analysis, Mantel-Haenszel DIF, Lord chi-square DIF | common factor analysis, açımlayıcı faktör analizi, factor analysis |
| 相关 | 4 | 4 |
| 摘要≠ | Differential Item Functioning analysis examines whether examinees from different groups — such as gender, ethnicity, or language background — who have the same underlying ability respond differently to a test item. First formalised by Holland and Thayer in 1988 via the Mantel-Haenszel procedure, it is the principal tool in modern test development for detecting and removing item bias. | Exploratory factor analysis reduces a large set of observed variables into a smaller number of latent common factors. It is widely used in scale development and psychometrics to uncover the dimensional structure that underlies a set of correlated items, without specifying that structure in advance. |
| ScholarGate数据集 ↗ |
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