This study examines the effect of two different techniques of bias reduction in the case of the fixed persons-fixed items formulation of the Rasch model. A first approach can be considered "corrective", because it consists simply in correcting ex-post the joint maximum likelihood estimates by a factor (m-1)/m, were m represents the number of items and/or persons. A second approach, which is an application of a quite general formula for reducing the maximum likelihood estimation bias, can be considered "preventive", because it arises from a modification of the score function. A comparative study of these two techniques was done using simulated data.

Comparison of two bias reduction techniques for the Rasch Model

BERTOLI BARSOTTI, Lucio;
2012-01-01

Abstract

This study examines the effect of two different techniques of bias reduction in the case of the fixed persons-fixed items formulation of the Rasch model. A first approach can be considered "corrective", because it consists simply in correcting ex-post the joint maximum likelihood estimates by a factor (m-1)/m, were m represents the number of items and/or persons. A second approach, which is an application of a quite general formula for reducing the maximum likelihood estimation bias, can be considered "preventive", because it arises from a modification of the score function. A comparative study of these two techniques was done using simulated data.
journal article - articolo
2012
BERTOLI BARSOTTI, Lucio; Punzo, Antonio
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/27909
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