Literaturnachweis - Detailanzeige
Autor/inn/en | Geerlings, Hanneke; van der Linden, Wim J.; Glas, Cees A. W. |
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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 |
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 |
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). |
Anmerkungen | SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2017/4/10 |