Сравнение методов

	Конвергентная валидность для компьютеризированных адаптивных тестов	Computerized adaptive test item response theory
Область	Психометрия	Психометрия
Семейство	Latent structure	Latent structure
Год появления	1989–2000	1970s–1980s
Автор метода	Samuel Messick (validity framework); Wainer and colleagues (CAT context)	Lord, F. M.; further developed by Wainer, van der Linden, and others
Тип	Validity evidence / construct validation	Adaptive measurement / sequential testing
Основополагающий источник	Wainer, H. (Ed.). (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805835113	Wainer, H. (Ed.). (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805835113
Другие названия	CAT convergent validity, adaptive test construct validation, CAT validity evidence, convergent validity in CAT	CAT-IRT, adaptive testing, IRT-based CAT, computerized adaptive testing
Связанные	5	4
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.	Computerized adaptive testing based on item response theory is a sequential measurement procedure in which a computer algorithm selects successive test items tailored to each examinee's estimated ability level. Drawing on IRT to model item characteristics and ability estimation, CAT delivers precise scores with far fewer items than fixed-length tests, making it efficient for high-stakes assessments, clinical screening, and large-scale surveys.