Fitting polytomous Rasch models in SAS

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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.
Original languageEnglish
JournalJournal of Applied Measurement
Issue number4
Pages (from-to)407-17
Number of pages10
Publication statusPublished - 2006

Bibliographical note

Keywords: Humans; Models, Psychological; Psychology

ID: 9997657