方法证据记录
Computerized Adaptive Testing
Computerized Adaptive Testing (CAT) is an individualized assessment methodology in which a computer algorithm selects successive test items based on a running estimate of each examinee's latent ability. Grounded in Item Response Theory, CAT dynamically tailors the item sequence so that each question is optimally informative given the current ability estimate. The framework was systematized and popularized by Howard Wainer and colleagues through the foundational primer first published in 1990 and expanded in the 2000 second edition.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Computerized Adaptive Testing (CAT)
分类方法记录 · process-pipeline / psychometrics
- Wainer, H. (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. · ISBN 978-0-8058-3511-3
精选声明
声明已持久化到证据分类账中，每个声明都有自己的评估。
尚无精选声明
当分类账中没有声明时，此视图不会自行创建声明评估。
相关方法
从方法图中生成，显示为机器建议的关系 — 不推断任何证据声明。