مقارنة بعض طرائق تقدير معلمات أنموذج راش

Abstract

Abstract:Described an estimate of the parameters of the RASCH model by conducting three methods (The Maximum Likelihood Estimation Method (MLE), Cohen's Approximation Estimation Method (CA), and The Bayesian Estimation Method), and compare manner simulation and several sample sizes (number of persons, and the number of items) and several fixed values for the parameters distributions used in the simulation , and comparing methods to find estimate the difficulty of item parameter ( ), and the person's ability parameter ( ), the best value of the parameters of the RASCH model distributions intermittent and persistent I appreciated the Bayesian Estimation Method, depending on the MAPE.Keyword: the RASCH model, The Maximum Likelihood Estimation Method (MLE), Cohen's Approximation Estimation Method (CA), The Bayesian Estimation Method.