Literature DB >> 24282130

A note on weighted likelihood and Jeffreys modal estimation of proficiency levels in polytomous item response models.

David Magis1.   

Abstract

Warm (in Psychometrika, 54, 427-450, 1989) established the equivalence between the so-called Jeffreys modal and the weighted likelihood estimators of proficiency level with some dichotomous item response models. The purpose of this note is to extend this result to polytomous item response models. First, a general condition is derived to ensure the perfect equivalence between these two estimators. Second, it is shown that this condition is fulfilled by two broad classes of polytomous models including, among others, the partial credit, rating scale, graded response, and nominal response models.

Mesh:

Year:  2013        PMID: 24282130     DOI: 10.1007/s11336-013-9378-5

Source DB:  PubMed          Journal:  Psychometrika        ISSN: 0033-3123            Impact factor:   2.500


  1 in total

1.  An invariant form for the prior probability in estimation problems.

Authors:  H JEFFREYS
Journal:  Proc R Soc Lond A Math Phys Sci       Date:  1946
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1.  On the Finiteness of the Weighted Likelihood Estimator of Ability.

Authors:  David Magis; Norman Verhelst
Journal:  Psychometrika       Date:  2016-10-03       Impact factor: 2.500

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Authors:  Sandip Sinharay
Journal:  Psychometrika       Date:  2015-05-08       Impact factor: 2.500

3.  Second-Order Probability Matching Priors for the Person Parameter in Unidimensional IRT Models.

Authors:  Yang Liu; Jan Hannig; Abhishek Pal Majumder
Journal:  Psychometrika       Date:  2019-07-01       Impact factor: 2.500

  3 in total

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