Fitting polytomous Rasch models in SAS

Karl Bang Christensen

Fitting polytomous Rasch models in SAS

Karl Bang Christensen

Institut for Folkesundhedsvidenskab

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

7 Citationer (Scopus)

Abstract

Udgivelsesdato: 2006-null

Originalsprog	Engelsk
Tidsskrift	Journal of Applied Measurement
Vol/bind	7
Udgave nummer	4
Sider (fra-til)	407-17
Antal sider	10
ISSN	1529-7713
Status	Udgivet - 2006

Bibliografisk note

Keywords: Humans; Models, Psychological; Psychology

Citationsformater

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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.",

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N2 - 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.

AB - 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.

M3 - Journal article

C2 - 17068380

VL - 7

SP - 407

EP - 417

JO - Journal of Applied Measurement

JF - Journal of Applied Measurement

SN - 1529-7713

IS - 4

ER -