Marginal maximum likelihood estimation in polytomous Rasch models using SAS
The growing use of Patient Reported Outcomes (PRO's) calls for user friendly software to fit IRT models in standard software like SAS or R. This paper describes a SAS macro %rasch_mml that fits polytomous Rasch models. The macro estimâtes item parameters using marginal maximum likelihood (MML) estimation and person locations using both MLE and Warm's ...
Christensen, Karl Bang, Olsbjerg, Maja
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