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	CAT Cronbach's Alpha	Datorbaserad adaptiv testning (CAT)
Ämnesområde	Psykometri	Psykometri
Familj	Latent structure	Process / pipeline
Ursprungsår	1984	2000
Upphovsperson	Adapted from Cronbach (1951); CAT reliability framing developed by Green, Bock, Humphreys, Linn & Reckase (1984)	Howard Wainer et al.
Typ	Reliability / internal consistency estimation	Adaptive sequential test administration procedure
Ursprungskälla	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
Alias	CAT reliability estimation, adaptive test internal consistency, CAT coefficient alpha, reliability in CAT	Adaptive Testing, Tailored Testing, Item-Adaptive Testing, Bilgisayar Destekli Uyarlanabilir Test
Närliggande	3	1
Sammanfattning	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.