, Volume 50, Issue 3, pp 349–364 | Cite as

Bayesian estimation in the two-parameter logistic model

  • Hariharan Swaminathan
  • Janice A. Gifford


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.

Key words

Bayesian estimates item response model two-parameter logistic model modal estimates maximum likelihood estimates 


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Copyright information

© The Psychometric Society 1985

Authors and Affiliations

  • Hariharan Swaminathan
    • 2
  • Janice A. Gifford
    • 1
  1. 1.Mount Holyoke CollegeUSA
  2. 2.School of EducationUniversity of MassachusettsAmherst

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