Modeling Rule-Based Item Generation

Autor/inn/en	Geerlings, Hanneke; Glas, Cees A. W.; van der Linden, Wim J.
Titel	Modeling Rule-Based Item Generation
Quelle	In: Psychometrika, 76 (2011) 2, S.337-359 (23 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0033-3123
DOI	10.1007/s11336-011-9204-x
Schlagwörter	Simulation; Intelligence Tests; Item Response Theory; Models; Bayesian Statistics; Evaluation; Mathematics + Suchen Sie Ihr Suchwort? Simulation program; Simulationsprogramm; Intelligence test; Intelligenztest; Item-Response-Theorie; Analogiemodell; Evaluierung; Mathematik
Abstract	An application of a hierarchical IRT model for items in families generated through the application of different combinations of design rules is discussed. Within the families, the items are assumed to differ only in surface features. The parameters of the model are estimated in a Bayesian framework, using a data-augmented Gibbs sampler. An obvious application of the model is computerized algorithmic item generation. Such algorithms have the potential to increase the cost-effectiveness of item generation as well as the flexibility of item administration. The model is applied to data from a non-verbal intelligence test created using design rules. In addition, results from a simulation study conducted to evaluate parameter recovery are presented. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10