Modeling Variability in Item Parameters in Item Response Models. Research Report [electronic resource] / Cees A. W. Glas and Wim J. van der Linden.

In some areas of measurement item parameters should not be modeled as fixed but as random. Examples of such areas are: item sampling, computerized item generation, measurement with substantial estimation error in the item parameter estimates, and grouping of items under a common stimulus or in a com...

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Bibliographic Details

Online Access:	Full Text (via ERIC)
Main Author:	Glas, Cees A. W.
Corporate Author:	Technische Hogeschool Twente. Faculty of Educational Science and Technology
Other Authors:	Linden, Wim J. van der
Format:	Electronic eBook
Language:	English
Published:	[Place of publication not identified] : Distributed by ERIC Clearinghouse, 2001.
Subjects:	Bayesian Statistics. Estimation (Mathematics) Item Response Theory. Markov Processes. Models. Monte Carlo Methods.