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。
| Differential Distractor Functioning× | 项目反应理论 (IRT)× | |
|---|---|---|
| 领域≠ | Education | 心理测量学 |
| 方法族 | Latent structure | Latent structure |
| 起源年份≠ | 2008 | 1952–1968 |
| 提出者≠ | Item-bias methodology (Green, Crone & Folk; Penfield) | Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models) |
| 类型≠ | Group-difference analysis of the incorrect options (distractors) of multiple-choice items | Probabilistic measurement model |
| 开创性文献≠ | Penfield, R. D. (2008). An odds ratio approach for assessing differential distractor functioning effects under the nominal response model. Journal of Educational Measurement, 45(3), 247–269. DOI ↗ | Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley. link ↗ |
| 别名 | DDF, Distractor-Level DIF, Differential Option Functioning, Distractor Functioning Analysis | IRT, latent trait theory, item characteristic curve theory, modern test theory |
| 相关≠ | 4 | 5 |
| 摘要≠ | Differential distractor functioning (DDF) extends test-fairness analysis from the correct answer to the wrong ones. It asks whether examinees of equal ability but different group membership are differentially attracted to particular distractors (incorrect options) of a multiple-choice item. By analyzing option-level rather than just right/wrong responses, DDF can detect bias that ordinary differential item functioning misses and, crucially, help explain why an item functions differently — pointing to the specific wrong option luring one group. Penfield's odds-ratio approach under the nominal response model is a standard tool. | Item response theory models the probability that a respondent answers an item correctly (or endorses it) as a function of the respondent's latent trait level and the item's own statistical properties — difficulty, discrimination, and guessing. Unlike classical test theory, IRT places persons and items on the same scale, yielding measurement that is sample-independent for items and test-independent for persons. |
| ScholarGate数据集 ↗ |
|
|