方法对比
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| 基于Rasch模型的计算机化自适应测试（CAT-Rasch）× | 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≠ | 1960 (Rasch model); CAT integration from 1970s onward | 1970s–1993 |
| 提出者≠ | Georg Rasch (measurement model); adaptive testing formalized by Wainer, van der Linden, and others | William H. Angoff and colleagues (ETS); systematized by Holland & Wainer |
| 类型≠ | Adaptive psychometric measurement | Item-level bias detection |
| 开创性文献≠ | Wainer, H. (Ed.). (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805835113 | Holland, P. W. & Wainer, H. (Eds.) (1993). Differential Item Functioning. Lawrence Erlbaum Associates. ISBN: 978-0805809589 |
| 别名 | CAT-Rasch, Rasch-based CAT, adaptive Rasch testing, computerized adaptive measurement | DIF, item bias analysis, measurement non-equivalence, item-level measurement bias |
| 相关 | 5 | 5 |
| 摘要≠ | Computerized adaptive testing with the Rasch model selects items in real time based on each examinee's evolving ability estimate, so that every person receives a test precisely calibrated to their proficiency level. The result is a shorter, more efficient measurement instrument that loses none of the precision of a full-length fixed-form test. | 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. |
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