Methoden vergleichen

	Inhaltsvalidität bei computergestützten adaptiven Tests (CAT)	Computerized Adaptive Testing basierend auf Item-Response-Theorie (CAT-IRT)
Fachgebiet	Psychometrie	Psychometrie
Familie	Latent structure	Latent structure
Entstehungsjahr	1975 / 1980	1970s–1980s
Urheber	Lawshe (content validity); Lord & Weiss (CAT framework)	Lord, F. M.; further developed by Wainer, van der Linden, and others
Typ	Validity evaluation / test design	Adaptive measurement / sequential testing
Wegweisende Quelle	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
Aliasnamen	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
Verwandt	6	4
Zusammenfassung	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.