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。
| 计算机自适应测验的麦克唐纳Omega系数× | 计算机化自适应测验信度分析× | |
|---|---|---|
| 领域 | 心理测量学 | 心理测量学 |
| 方法族 | Latent structure | Latent structure |
| 起源年份≠ | 1999 (omega); CAT application 2000s–2010s | 1970s–1980s |
| 提出者≠ | Roderick P. McDonald (omega); CAT-omega application extended by IRT and psychometric reliability researchers | David J. Weiss and IRT psychometricians |
| 类型≠ | Reliability coefficient for adaptive tests | Reliability estimation under adaptive testing |
| 开创性文献≠ | McDonald, R. P. (1999). Test Theory: A Unified Treatment. Lawrence Erlbaum Associates. ISBN: 978-0805830408 | Weiss, D. J. (1984). Application of computerized adaptive testing to educational problems. Journal of Educational Measurement, 21(4), 361–375. DOI ↗ |
| 别名 | CAT omega reliability, omega in adaptive testing, hierarchical omega for CAT, CAT composite reliability | CAT reliability, adaptive test reliability, IRT-based reliability estimation, marginal reliability in CAT |
| 相关≠ | 5 | 4 |
| 摘要≠ | McDonald's omega adapted for computerized adaptive testing (CAT) quantifies the reliability of ability or trait estimates when different examinees answer different subsets of items. Unlike Cronbach's alpha, omega is grounded in a factor model, making it suitable for the heterogeneous item pools and variable test lengths that characterize adaptive administrations. | 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. |
| ScholarGate数据集 ↗ |
|
|