Bayesian Item Selection in Constrained Adaptive Testing Using Shadow Tests

Autor/in	Veldkamp, Bernard P.
Titel	Bayesian Item Selection in Constrained Adaptive Testing Using Shadow Tests
Quelle	In: Psicologica: International Journal of Methodology and Experimental Psychology, 31 (2010) 1, S.149-169 (21 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0211-2159
Schlagwörter	Selection; Criteria; Bayesian Statistics; Computer Assisted Testing; Adaptive Testing; Simulation; Comparative Analysis; College Entrance Examinations; Law School Admission Test + Suchen Sie Ihr Suchwort? Auslese; Simulation program; Simulationsprogramm; Aufnahmeprüfung; Law school; Assessment; Admission criteria; Admission procedures; Rechtswissenschaft; Fachbereich; Eignungsprüfung; Eignungstest; Hochschulzulassung
Abstract	Application of Bayesian item selection criteria in computerized adaptive testing might result in improvement of bias and MSE of the ability estimates. The question remains how to apply Bayesian item selection criteria in the context of constrained adaptive testing, where large numbers of specifications have to be taken into account in the item selection process. The Shadow Test Approach is a general purpose algorithm for administering constrained CAT. In this paper it is shown how the approach can be slightly modified to handle Bayesian item selection criteria. No differences in performance were found between the shadow test approach and the modified approach. In a simulation study of the LSAT, the effects of Bayesian item selection criteria are illustrated. The results are compared to item selection based on Fisher Information. General recommendations about the use of Bayesian item selection criteria are provided. (Contains 4 figures.) (As Provided).
Anmerkungen	University of Valencia. Dept. Metodologia, Facultad de Psicologia, Avda. Blasco Ibanez 21, 46010 Valencia, Spain. Tel: +34-96-386-4100; Web site: http://www.uv.es/revispsi/
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10