Adaptive Mastery Testing Using the Rasch Model and Bayesian Sequential Decision Theory. Research Report 98-15.

Autor/inn/en	Glas, Cees A. W.; Vos, Hans J.
Institution	Twente Univ., Enschede (Netherlands). Faculty of Educational Science and Technology.
Titel	Adaptive Mastery Testing Using the Rasch Model and Bayesian Sequential Decision Theory. Research Report 98-15.
Quelle	(1998), (43 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Quantitative Daten; Adaptive Testing; Bayesian Statistics; Item Response Theory; Mastery Tests; Simulation; Tables (Data); Test Items + Suchen Sie Ihr Suchwort? Item-Response-Theorie; Simulation program; Simulationsprogramm; Tabelle; Test content; Testaufgabe
Abstract	A version of sequential mastery testing is studied in which response behavior is modeled by an item response theory (IRT) model. First, a general theoretical framework is sketched that is based on a combination of Bayesian sequential decision theory and item response theory. A discussion follows on how IRT based sequential mastery testing can be generalized to adaptive item and testlet selection rules; i.e., to a situation in which the choice of the next item or testlet to be administered is optimized using the information from previous responses. The performance of IRT based sequential and adaptive sequential mastery testing is studied in a number of simulations using the Rasch model. The possibilities and difficulties of application of the approach in the framework of the two-parameter logistic and three-parameter logistic models is also discussed. (Contains 19 tables and 16 references.) (Author/SLD)
Anmerkungen	Faculty of Educational Science and Technology, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands.
Erfasst von	ERIC (Education Resources Information Center), Washington, DC