Fitting polytomous Rasch models in SAS
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Fitting polytomous Rasch models in SAS. / Christensen, Karl Bang.
I: Journal of Applied Measurement, Bind 7, Nr. 4, 2006, s. 407-17.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - Fitting polytomous Rasch models in SAS
AU - Christensen, Karl Bang
N1 - Keywords: Humans; Models, Psychological; Psychology
PY - 2006
Y1 - 2006
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 -
ID: 9997657