Making the Most of What We Have: A Practical Application of Multidimensional Item Response Theory in Test Scoring

Autor/inn/en	de la Torre, Jimmy; Patz, Richard J.
Titel	Making the Most of What We Have: A Practical Application of Multidimensional Item Response Theory in Test Scoring
Quelle	In: Journal of Educational and Behavioral Statistics, 30 (2005) 3, S.295-311 (17 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1076-9986
Schlagwörter	Scoring; Markov Processes; Item Response Theory; Tests; Measurement Techniques; Bayesian Statistics; Monte Carlo Methods; Computation + Suchen Sie Ihr Suchwort? Bewertung; Markowscher Prozess; Item-Response-Theorie; Examination; Prüfung; Examen; Messtechnik; Monte-Carlo-Methode
Abstract	This article proposes a practical method that capitalizes on the availability of information from multiple tests measuring correlated abilities given in a single test administration. By simultaneously estimating different abilities with the use of a hierarchical Bayesian framework, more precise estimates for each ability dimension are obtained. The efficiency of the proposed method is most pronounced when highly correlated abilities are estimated from multiple short tests. Employing Markov chain Monte Carlo techniques allows for straightforward estimation of model parameters. (Contains 7 tables and 5 figures.) (Author).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10