Порівняння методів

	Змістовна валідність у комп'ютеризованому адаптивному тестуванні (CAT)	Комп'ютерне адаптивне тестування на основі теорії відповіді на елемент (CAT-IRT)
Галузь	Психометрія	Психометрія
Родина	Latent structure	Latent structure
Рік появи	1975 / 1980	1970s–1980s
Автор методу	Lawshe (content validity); Lord & Weiss (CAT framework)	Lord, F. M.; further developed by Wainer, van der Linden, and others
Тип	Validity evaluation / test design	Adaptive measurement / sequential testing
Основоположне джерело	Lawshe, C. H. (1975). A quantitative approach to content validity. Personnel Psychology, 28(4), 563–575.	Wainer, H. (Ed.). (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805835113
Інші назви	CAT content validity, adaptive item bank content coverage, content balancing in CAT, CAT blueprint validity	CAT-IRT, adaptive testing, IRT-based CAT, computerized adaptive testing
Пов'язані	6	4
Підсумок	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.	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.