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Autor/inn/enYen, Yung-Chin; Ho, Rong-Guey; Laio, Wen-Wei; Chen, Li-Ju; Kuo, Ching-Chin
TitelAn Empirical Evaluation of the Slip Correction in the Four Parameter Logistic Models with Computerized Adaptive Testing
QuelleIn: Applied Psychological Measurement, 36 (2012) 2, S.75-87 (13 Seiten)
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0146-6216
DOI10.1177/0146621611432862
SchlagwörterComputer Assisted Testing; Adaptive Testing; Test Items; Response Style (Tests); Item Response Theory; High School Students; Item Banks; Language Tests; Computation; Measurement; Efficiency; Comparative Analysis; Foreign Countries; Taiwan
AbstractIn a selected response test, aberrant responses such as careless errors and lucky guesses might cause error in ability estimation because these responses do not actually reflect the knowledge that examinees possess. In a computerized adaptive test (CAT), these aberrant responses could further cause serious estimation error due to dynamic item administration. To enhance the robust performance of CAT against aberrant responses, Barton and Lord proposed the four-parameter logistic (4PL) item response theory (IRT) model. However, most studies relevant to the 4PL IRT model were conducted based on simulation experiments. This study attempts to investigate the performance of the 4PL IRT model as a slip-correction mechanism with an empirical experiment. The results showed that the 4PL IRT model could not only reduce the problematic underestimation of the examinees' ability introduced by careless mistakes in practical situations but also improve measurement efficiency. (Contains 6 figures and 9 tables.) (As Provided).
AnmerkungenSAGE 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 vonERIC (Education Resources Information Center), Washington, DC
Update2017/4/10
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