The Equivalence of Two Methods of Parameter Estimation for the Rasch Model

Abstract
Two methods of estimating parameters in the Rasch model are compared. It is shown that estimates for a certain loglinear model for the score × item × response table are equivalent to the unconditional maximum likelihood estimates for the Rasch model.

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