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
