Article Title
Fitting the Rasch Model under the Logistic Regression Framework to Reduce Estimation Bias
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.
DOI
10.22237/jmasm/1530028025
Included in
Applied Statistics Commons, Social and Behavioral Sciences Commons, Statistical Theory Commons
