A Mixture Rasch Model with Item Response Time Components

Autor/in	Meyer, J. Patrick
Titel	A Mixture Rasch Model with Item Response Time Components
Quelle	In: Applied Psychological Measurement, 34 (2010) 7, S.521-538 (18 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0146-6216
DOI	10.1177/0146621609355451
Schlagwörter	Item Response Theory; Response Style (Tests); Reaction Time; Computation; Statistical Bias; Maximum Likelihood Statistics; Bayesian Statistics + Suchen Sie Ihr Suchwort? Item-Response-Theorie; Antwortverhalten; Reaktionsvermögen
Abstract	An examinee faced with a test item will engage in solution behavior or rapid-guessing behavior. These qualitatively different test-taking behaviors bias parameter estimates for item response models that do not control for such behavior. A mixture Rasch model with item response time components was proposed and evaluated through application to real test data and a simulation study. The analysis of extant data indicated that a two-class solution fit better than a one-class solution and that 15% of examinees engaged in rapid-guessing behavior. Moreover, solution behavior examinees had substantially higher average ability scores than rapid-guessing examinees. Results of the simulation study indicated that the parameters were recovered well. (Contains 2 tables and 4 figures.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10