方法对比
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| 计算机化自适应测验信度分析× | 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≠ | 1970s–1980s | 1970s–1993 |
| 提出者≠ | David J. Weiss and IRT psychometricians | William H. Angoff and colleagues (ETS); systematized by Holland & Wainer |
| 类型≠ | Reliability estimation under adaptive testing | Item-level bias detection |
| 开创性文献≠ | Weiss, D. J. (1984). Application of computerized adaptive testing to educational problems. Journal of Educational Measurement, 21(4), 361–375. DOI ↗ | Holland, P. W. & Wainer, H. (Eds.) (1993). Differential Item Functioning. Lawrence Erlbaum Associates. ISBN: 978-0805809589 |
| 别名 | CAT reliability, adaptive test reliability, IRT-based reliability estimation, marginal reliability in CAT | DIF, item bias analysis, measurement non-equivalence, item-level measurement bias |
| 相关≠ | 4 | 5 |
| 摘要≠ | CAT reliability analysis quantifies measurement precision in computerized adaptive tests where each examinee receives a unique, individually tailored subset of items. Rather than a single classical coefficient, it uses item response theory to express precision as conditional standard error of measurement at each ability level, and marginal reliability as a global summary across the ability distribution. | 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 ↗ |
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