Assembling a Computerized Adaptive Testing Item Pool as a Set of Linear Tests

Autor/inn/en	van der Linden, Wim J.; Ariel, Adelaide; Veldkamp, Bernard P.
Titel	Assembling a Computerized Adaptive Testing Item Pool as a Set of Linear Tests
Quelle	In: Journal of Educational and Behavioral Statistics, 31 (2006) 1, S.81-99 (19 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1076-9986
Schlagwörter	Adaptive Testing; Computer Assisted Testing; Test Items; Item Banks; Test Content; Correlation; Models; College Entrance Examinations; Test Bias; Testing Programs; Intervals; Comparative Analysis; Law School Admission Test + Suchen Sie Ihr Suchwort? Test content; Testaufgabe; Korrelation; Analogiemodell; Aufnahmeprüfung; Testkritik; Law school; Assessment; Admission criteria; Admission procedures; Rechtswissenschaft; Fachbereich; Eignungsprüfung; Eignungstest; Hochschulzulassung
Abstract	Test-item writing efforts typically results in item pools with an undesirable correlational structure between the content attributes of the items and their statistical information. If such pools are used in computerized adaptive testing (CAT), the algorithm may be forced to select items with less than optimal information, that violate the content constraints, and/or have unfavorable exposure rates. Although at first sight somewhat counterintuitive, it is shown that if the CAT pool is assembled as a set of linear test forms, undesirable correlations can be broken down effectively. It is proposed to assemble such pools using a mixed integer programming model with constraints that guarantee that each test meets all content specifications and an objective function that requires them to have maximal information at a well-chosen set of ability values. An empirical example with a previous master pool from the Law School Admission Test (LSAT) yielded a CAT with nearly uniform bias and mean-squared error functions for the ability estimator and item-exposure rates that satisfied the target for all items in the pool. (Contains 6 figures.) (ERIC).
Anmerkungen	American Educational Research Association. 1230 17th St. NW, Washington, DC 20036-3078. Tel: 202-223-9485; Fax: 202-775-1824; e-mail: subscriptions@aera.net; Web site: http://www.aera.net.
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10