Optimal Test Design with Rule-Based Item Generation

Autor/inn/en	Geerlings, Hanneke; van der Linden, Wim J.; Glas, Cees A. W.
Titel	Optimal Test Design with Rule-Based Item Generation
Quelle	In: Applied Psychological Measurement, 37 (2013) 2, S.140-161 (22 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0146-6216
DOI	10.1177/0146621612468313
Schlagwörter	Test Construction; Test Items; Item Banks; Automation; Item Response Theory; Programming; Models + Suchen Sie Ihr Suchwort? Testaufbau; Test content; Testaufgabe; Item-Response-Theorie; Programmierung; Analogiemodell
Abstract	Optimal test-design methods are applied to rule-based item generation. Three different cases of automated test design are presented: (a) test assembly from a pool of pregenerated, calibrated items; (b) test generation on the fly from a pool of calibrated item families; and (c) test generation on the fly directly from calibrated features defining the item families. The last two cases do not assume any item calibration under a regular response theory model; instead, entire item families or critical features of them are assumed to be calibrated using a hierarchical response model developed for rule-based item generation. The test-design models maximize an expected version of the Fisher information in the test and control critical attributes of the test forms through explicit constraints. Results from a study with simulated response data highlight both the effects of within-family item-parameter variability and the severity of the constraint sets in the test-design models on their optimal solutions. (Contains 3 tables and 6 figures.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10