A review of different estimation procedures in the Rasch model

R.J.H. Engelen

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A short review of the different estimation procedures that have been used in association with the Rasch model is provided. These procedures include joint, conditional, and marginal maximum likelihood methods; Bayesian methods; minimum chi-square methods; and paired comparison estimation. A comparison of the marginal maximum likelihood estimation with all other estimation procedures is then provided. Marginal maximum likelihood estimation is defended as the best procedure, but serious numerical problems exist even when applying this method. These problems are especially evident for distribution-free marginal maximum likelihood estimation.
Original languageEnglish
Place of PublicationEnschede, the Netherlands
PublisherUniversity of Twente
Number of pages39
Publication statusPublished - 1987

Publication series

NameOMD research report
PublisherUniversity of Twente, Faculty of Educational Science and Technology


  • Latent trait theory
  • Literature reviews
  • Maximum likelihood statistics
  • Estimation (Mathematics)
  • Comparative analysis
  • Chi square
  • Mathematical models
  • Bayesian statistics

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