title: Fitting polytomous Rasch models in SAS.
abstract: The item parameters of a polytomous Rasch model can be estimated using marginal and conditional approaches. This paper describes how this can be done in SAS (V8.2) for three item parameter estimation procedures: marginal maximum likelihood estimation, conditional maximum likelihood estimation, and pairwise conditional estimation. The use of the procedures for extensions of the Rasch model is also discussed. The accuracy of the methods are evaluated using a simulation study.
authors.affiliation: National Institute of Occupational Health, Denmark, Lerso Parkalle 105, Copenhagen 2100 O, Denmark. kbc@ami.dk
authors.forename: Karl Bang
authors.initials: KB
authors.lastname: Christensen
mesh_terms: D006801:Humans; D008960:Models, Psychological; D011584:Psychology / Q000379:methods / Q000706:statistics & numerical data