Fitting the Rasch Model under the Logistic Regression Framework to Reduce Estimation Bias

被引:0
|
作者
Pan, Tianshu [1 ]
机构
[1] Pearson, San Antonio, TX 78259 USA
关键词
The Rasch model; logistic regression; maximum likelihood; penalized maximum likelihood;
D O I
10.22237/jmasm/1530028025
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
The purpose of this study was to show 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 be used to reduce ML biases when fitting the Rasch model. These conclusions are supported by a simulation study.
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页码:1 / 15
页数:14
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