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Fitting the Rasch model under the logistic regression framework to reduce estimation bias

Journal of Modern Applied Statistical MethodsPublished 26 June 2018Open access
Tianshu Pan
Citations2
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Abstract

This article showed how and why the Rasch model can be fitted under the logistic regression framework. Then a penalized maximum likelihood (Firth 1993) for logistic regression models can also be used to reduce ML biases when fitting the Rasch model. These conclusions are supported by a simulation study.

Keywords

Decision SciencesMathematics