Computerized Adaptive Test (CAT) Applications and Item Response Theory Models for Polytomous Items

Autor/inn/en	Aybek, Eren Can; Demirtasli, R. Nukhet
Titel	Computerized Adaptive Test (CAT) Applications and Item Response Theory Models for Polytomous Items
Quelle	In: International Journal of Research in Education and Science, 3 (2017) 2, S.475-487 (14 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2148-9955
Schlagwörter	Computer Assisted Testing; Adaptive Testing; Item Response Theory; Test Items; Models; Computer Simulation; Computer Software; Item Analysis; Scoring; Maximum Likelihood Statistics; Criteria + Suchen Sie Ihr Suchwort? Item-Response-Theorie; Test content; Testaufgabe; Analogiemodell; Computergrafik; Computersimulation; Itemanalyse; Bewertung
Abstract	This article aims to provide a theoretical framework for computerized adaptive tests (CAT) and item response theory models for polytomous items. Besides that, it aims to introduce the simulation and live CAT software to the related researchers. Computerized adaptive test algorithm, assumptions of item response theory models, nominal response model, partial credit and generalized partial credit models and graded response model are described carefully to reach that aim. Likewise, item selection methods, such as maximum Fisher information, maximum expected information, minimum expected posterior variance, maximum expected posterior weighted-information, and ability prediction methods, such as expected a posteriori and maximum a posteriori, are expounded as well as stopping rules for the computerized adaptive tests. (As Provided).
Anmerkungen	International Journal of Research in Education and Science. Necmettin Erbakan University, Ahmet Kelesoglu Education Faculty, Meram, Konya 42090 Turkey. e-mail: ijresoffice@gmail.com; Web site: http://www.ijres.net
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01