方法对比
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| 计算机化自适应测试（CAT）中的内容效度× | 基于项目反应理论的计算机自适应测试 (CAT-IRT)× | |
|---|---|---|
| 领域 | 心理测量学 | 心理测量学 |
| 方法族 | Latent structure | Latent structure |
| 起源年份≠ | 1975 / 1980 | 1970s–1980s |
| 提出者≠ | Lawshe (content validity); Lord & Weiss (CAT framework) | Lord, F. M.; further developed by Wainer, van der Linden, and others |
| 类型≠ | Validity evaluation / test design | Adaptive measurement / sequential testing |
| 开创性文献≠ | Lawshe, C. H. (1975). A quantitative approach to content validity. Personnel Psychology, 28(4), 563–575. link ↗ | Wainer, H. (Ed.). (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805835113 |
| 别名 | CAT content validity, adaptive item bank content coverage, content balancing in CAT, CAT blueprint validity | CAT-IRT, adaptive testing, IRT-based CAT, computerized adaptive testing |
| 相关≠ | 6 | 4 |
| 摘要≠ | Content validity in computerized adaptive testing (CAT) ensures that an adaptively administered assessment adequately samples the intended content domain despite delivering only a subset of items to each examinee. It integrates classical content validity methods with CAT-specific item bank design and content balancing algorithms to guarantee representative domain coverage at both the item bank and the individual test level. | Computerized adaptive testing based on item response theory is a sequential measurement procedure in which a computer algorithm selects successive test items tailored to each examinee's estimated ability level. Drawing on IRT to model item characteristics and ability estimation, CAT delivers precise scores with far fewer items than fixed-length tests, making it efficient for high-stakes assessments, clinical screening, and large-scale surveys. |
| ScholarGate数据集 ↗ |
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