Сравнение методов

	Содержательная валидность в адаптивном тестировании с компьютером (CAT)	Конструктная валидность в компьютерном адаптивном тестировании (CAT)
Область	Психометрия	Психометрия
Семейство	Latent structure	Latent structure
Год появления	1975 / 1980	1989–2000s
Автор метода	Lawshe (content validity); Lord & Weiss (CAT framework)	Samuel Messick (unified validity framework); CAT application formalized by Wainer, van der Linden, and colleagues
Тип	Validity evaluation / test design	Validity evaluation / psychometric evidence gathering
Основополагающий источник	Lawshe, C. H. (1975). A quantitative approach to content validity. Personnel Psychology, 28(4), 563–575.	Messick, S. (1989). Validity. In R. L. Linn (Ed.), Educational Measurement (3rd ed., pp. 13–103). American Council on Education / Macmillan.
Другие названия	CAT content validity, adaptive item bank content coverage, content balancing in CAT, CAT blueprint validity	CAT construct validity, adaptive test construct validation, CAT validity evidence, construct validity evidence in CAT
Связанные	6	6
Сводка	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.	Construct validity in computerized adaptive testing evaluates whether the latent trait estimates produced by a CAT instrument genuinely measure the intended psychological or educational construct. Because adaptive algorithms select items individually for each examinee, the validity evidence gathered must account for the variable item exposure and the IRT-based scoring that are unique to CAT administrations.