Methoden vergleichen

	Computerized Adaptive Testing basierend auf Item-Response-Theorie (CAT-IRT)	Rasch-Modell
Fachgebiet	Psychometrie	Psychometrie
Familie	Latent structure	Latent structure
Entstehungsjahr	1970s–1980s	1960
Urheber	Lord, F. M.; further developed by Wainer, van der Linden, and others	Georg Rasch
Typ	Adaptive measurement / sequential testing	Item Response Theory / Latent trait model
Wegweisende Quelle	Wainer, H. (Ed.). (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805835113	Rasch, G. (1960). Probabilistic Models for Some Intelligence and Attainment Tests. Danish Institute for Educational Research, Copenhagen.
Aliasnamen	CAT-IRT, adaptive testing, IRT-based CAT, computerized adaptive testing	1PL IRT, one-parameter logistic model, Rasch Modeli — 1PL IRT, 1PL model
Verwandt	4	6
Zusammenfassung	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.	The Rasch model, introduced by Georg Rasch in 1960, is the simplest member of the Item Response Theory (IRT) family. It assigns a single difficulty parameter to each test item and places both item difficulties and person abilities on the same logit scale, enabling direct, sample-independent comparison of items and persons.