Item-Weighted Likelihood Method for Ability Estimation in Tests Composed of Both Dichotomous and Polytomous Items

Autor/inn/en	Tao, Jian; Shi, Ning-Zhong; Chang, Hua-Hua
Titel	Item-Weighted Likelihood Method for Ability Estimation in Tests Composed of Both Dichotomous and Polytomous Items
Quelle	In: Journal of Educational and Behavioral Statistics, 37 (2012) 2, S.298-315 (18 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1076-9986
DOI	10.3102/1076998610393969
Schlagwörter	Test Items; Weighted Scores; Maximum Likelihood Statistics; Statistical Bias; Ability; Simulation + Suchen Sie Ihr Suchwort? Test content; Testaufgabe; Fähigkeit; Fertigkeit; Simulation program; Simulationsprogramm
Abstract	For mixed-type tests composed of both dichotomous and polytomous items, polytomous items often yield more information than dichotomous ones. To reflect the difference between the two types of items, polytomous items are usually pre-assigned with larger weights. We propose an item-weighted likelihood method to better assess examinees' ability levels. Simulation results show that the estimated ability based on the new procedure is more consistent with examinee's true ability than the usual maximum likelihood method. (Contains 1 table and 4 figures.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10