Bayesian estimation in the two-parameter logistic model
type: Item
instance of: scholarly article
title: Bayesian estimation in the two-parameter logistic model
zbMATH Open document ID: 0581.62093
DOI: 10.1007/BF02294110
author: Hariharan Swaminathan
author: Janice A. Gifford
published in: Psychometrika
publication date: 1985-01-01T00:00:00Z
review text: A Bayesian procedure is developed for the estimation of parameters in the two-parameter logistic item response model. Joint modal estimates of the parameters are obtained and procedures for the specification of prior information are described. Through simulation studies it is shown that Bayesian estimates of the parameters are superior to maximum likelihood estimates in the sense that they are (a) more meaningful since they do not drift out of range, and (b) more accurate in that they result in smaller mean squared differences between estimates and true values.
Mathematics Subject Classification ID: 62P15
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 62F10
zbMATH DE Number: 3930201
zbMATH Keywords: two-parameter logistic item response model
zbMATH Keywords: Joint modal estimates
zbMATH Keywords: specification of prior information
zbMATH Keywords: maximum likelihood estimates
MaRDI profile type: Publication
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full work available at URL: https://doi.org/10.1007/bf02294110
OpenAlex ID: W2085256072
description: scientific article; zbMATH DE number 3930201