Сравнение методов

	Конвергентная валидность для компьютеризированных адаптивных тестов	Конструктная валидность в компьютерном адаптивном тестировании (CAT)
Область	Психометрия	Психометрия
Семейство	Latent structure	Latent structure
Год появления	1989–2000	1989–2000s
Автор метода	Samuel Messick (validity framework); Wainer and colleagues (CAT context)	Samuel Messick (unified validity framework); CAT application formalized by Wainer, van der Linden, and colleagues
Тип	Validity evidence / construct validation	Validity evaluation / psychometric evidence gathering
Основополагающий источник	Wainer, H. (Ed.). (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805835113	Messick, S. (1989). Validity. In R. L. Linn (Ed.), Educational Measurement (3rd ed., pp. 13–103). American Council on Education / Macmillan.
Другие названия	CAT convergent validity, adaptive test construct validation, CAT validity evidence, convergent validity in CAT	CAT construct validity, adaptive test construct validation, CAT validity evidence, construct validity evidence in CAT
Связанные	5	6
Сводка	Convergent validity assessment for computerized adaptive tests (CATs) examines whether the ability or trait estimates produced by an adaptive algorithm correlate substantially with scores from other measures of the same construct. Because each examinee receives a different subset of items in a CAT, demonstrating that the resulting scores still converge with theoretically related external measures is a critical step in establishing construct validity evidence.	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.