Bayesian Modeling of Measurement Error in Predictor Variables Using Item Response Theory. Research Report [electronic resource] / Jean-Paul Fox and Cees A. W. Glas.

This paper focuses on handling measurement error in predictor variables using item response theory (IRT). Measurement error is of great important in assessment of theoretical constructs, such as intelligence or the school climate. Measurement error is modeled by treating the predictors as unobserved...

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Bibliographic Details

Online Access:	Full Text (via ERIC)
Main Author:	Fox, Jean-Paul
Corporate Author:	Technische Hogeschool Twente. Faculty of Educational Science and Technology
Other Authors:	Glas, Cees A. W.
Format:	Electronic eBook
Language:	English
Published:	[Place of publication not identified] : Distributed by ERIC Clearinghouse, 2000.
Subjects:	Bayesian Statistics. Error of Measurement. Item Response Theory. Predictor Variables.