Bayesian Estimation in the Rasch Model

Hariharan Swaminathan and Janice A. Gifford

Journal of Educational and Behavioral Statistics, 1982, vol. 7, issue 3, 175-191

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.

Keywords: Rasch model; Bayesian estimation; hierarchical model (search for similar items in EconPapers)
Date: 1982
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Persistent link: https://EconPapers.repec.org/RePEc:sae:jedbes:v:7:y:1982:i:3:p:175-191

DOI: 10.3102/10769986007003175

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