方法对比

	计算机化自适应测验的克朗巴赫系数	计算机化自适应测试 (CAT)
领域	心理测量学	心理测量学
方法族	Latent structure	Process / pipeline
起源年份	1984	2000
提出者	Adapted from Cronbach (1951); CAT reliability framing developed by Green, Bock, Humphreys, Linn & Reckase (1984)	Howard Wainer et al.
类型	Reliability / internal consistency estimation	Adaptive sequential test administration procedure
开创性文献	Green, B. F., Bock, R. D., Humphreys, L. G., Linn, R. L., & Reckase, M. D. (1984). Technical guidelines for assessing computerized adaptive tests. Journal of Educational Measurement, 21(4), 347–360.	Wainer, H. (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0-8058-3511-3
别名	CAT reliability estimation, adaptive test internal consistency, CAT coefficient alpha, reliability in CAT	Adaptive Testing, Tailored Testing, Item-Adaptive Testing, Bilgisayar Destekli Uyarlanabilir Test
相关	3	1
摘要	Cronbach's alpha applied to computerized adaptive test (CAT) data estimates internal consistency reliability under the special condition that different examinees receive different subsets of items. Because the classic formula assumes every respondent answers the same items, its direct application to CAT data violates core assumptions and typically underestimates or misrepresents true reliability, requiring careful adaptation or replacement with IRT-based reliability indices.	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.