Affiliation:
1. University of Massachusetts
Abstract
Bayesian estimation procedures based on a hierarchical model for estimating parameters in the Rasch model are described. Through simulation studies it is shown that the Bayesian procedure is superior to the maximum likelihood procedure in that the estimates are (a) more accurate, at least in small samples; and (b) meaningful in that parameters corresponding to perfect item and ability responses can be estimated.
Publisher
American Educational Research Association (AERA)
Subject
Linguistics and Language,Anthropology,History,Language and Linguistics,Cultural Studies
Cited by
46 articles.
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