Pseudolikelihood estimation of the Rasch model.
An estimation method is proposed for the Rasch model on the basis of the pseudolikelihood theory of Arnold and Strauss (1988). A simulation study was conducted to compare the proposed maximum pseudolikelihood estimates with the well known conditional maximum likelihood and unconditional maximum likelihood estimates for the item parameters of the Rasch model. The results show great similarity between the methods.
Faculty of Work & Organizational Psychology, De Vrije Universtiteit, v.d. Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands.
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Kelderman
D000704:Analysis of Variance; D015982:Bias; D003627:Data Interpretation, Statistical; D006801:Humans; D016013:Likelihood Functions; D016015:Logistic Models; D015233:Models, Statistical