Fitting the Rasch Model under the Logistic Regression Framework to Reduce Estimation Bias
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May 1, 2018
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Tianshu Pan
Pearson, San Antonio
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.
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