Сравнение методов

	Компьютеризированное адаптивное тестирование (КАТ)	Модель Раша
Область	Психометрия	Психометрия
Семейство	Process / pipeline	Latent structure
Год появления	2000	1960
Автор метода	Howard Wainer et al.	Georg Rasch
Тип	Adaptive sequential test administration procedure	Item Response Theory / Latent trait model
Основополагающий источник	Wainer, H. (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0-8058-3511-3	Rasch, G. (1960). Probabilistic Models for Some Intelligence and Attainment Tests. Danish Institute for Educational Research, Copenhagen.
Другие названия	Adaptive Testing, Tailored Testing, Item-Adaptive Testing, Bilgisayar Destekli Uyarlanabilir Test	1PL IRT, one-parameter logistic model, Rasch Modeli — 1PL IRT, 1PL model
Связанные	1	6
Сводка	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.	The Rasch model, introduced by Georg Rasch in 1960, is the simplest member of the Item Response Theory (IRT) family. It assigns a single difficulty parameter to each test item and places both item difficulties and person abilities on the same logit scale, enabling direct, sample-independent comparison of items and persons.