Item Response Models for Examinee-Selected Items

Autor/inn/en	Wang, Wen-Chung; Jin, Kuan-Yu; Qiu, Xue-Lan; Wang, Lei
Titel	Item Response Models for Examinee-Selected Items
Quelle	In: Journal of Educational Measurement, 49 (2012) 4, S.419-445 (27 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0022-0655
DOI	10.1111/j.1745-3984.2012.00184.x
Schlagwörter	Item Response Theory; Test Items; Selection; Models; Simulation; Computer Software; Computation; College Entrance Examinations; Foreign Countries; China + Suchen Sie Ihr Suchwort? Item-Response-Theorie; Test content; Testaufgabe; Auslese; Analogiemodell; Simulation program; Simulationsprogramm; Aufnahmeprüfung; Ausland
Abstract	In some tests, examinees are required to choose a fixed number of items from a set of given items to answer. This practice creates a challenge to standard item response models, because more capable examinees may have an advantage by making wiser choices. In this study, we developed a new class of item response models to account for the choice effect of examinee-selected items. The results of a series of simulation studies showed: (1) that the parameters of the new models were recovered well, (2) the parameter estimates were almost unbiased when the new models were fit to data that were simulated from standard item response models, (3) failing to consider the choice effect yielded shrunken parameter estimates for examinee-selected items, and (4) even when the missingness mechanism in examinee-selected items did not follow the item response functions specified in the new models, the new models still yielded a better fit than did standard item response models. An empirical example of a college entrance examination supported the use of the new models: in general, the higher the examinee's ability, the better his or her choice of items. (Contains 4 figures and 7 tables.) (As Provided).
Anmerkungen	Wiley-Blackwell. 350 Main Street, Malden, MA 02148. Tel: 800-835-6770; Tel: 781-388-8598; Fax: 781-388-8232; e-mail: cs-journals@wiley.com; Web site: http://www.wiley.com/WileyCDA/
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10