Literature DB >> 27699560

On the Finiteness of the Weighted Likelihood Estimator of Ability.

David Magis1, Norman Verhelst2.   

Abstract

The purpose of this note is to focus on the finiteness of the weighted likelihood estimator (WLE) of ability in the context of dichotomous and polytomous item response theory (IRT) models. It is established that the WLE always returns finite ability estimates. This general result is valid for dichotomous (one-, two-, three- and four-parameter logistic) IRT models, the class of polytomous difference models and divide-by-total models, independently of the number of items, the item parameters and the response patterns. Further implications of this result are outlined.

Keywords:  Bayesian estimation; dichotomous models; finiteness; item response theory; polytomous models; weighted likelihood estimation

Year:  2016        PMID: 27699560     DOI: 10.1007/s11336-016-9518-9

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


  4 in total

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

Authors:  David Magis
Journal:  Psychometrika       Date:  2013-11-27       Impact factor: 2.500

2.  Efficient Standard Error Formulas of Ability Estimators with Dichotomous Item Response Models.

Authors:  David Magis
Journal:  Psychometrika       Date:  2015-02-18       Impact factor: 2.500

3.  On Latent Trait Estimation in Multidimensional Compensatory Item Response Models.

Authors:  Chun Wang
Journal:  Psychometrika       Date:  2014-03-07       Impact factor: 2.500

4.  Asymptotically Correct Standardization of Person-Fit Statistics Beyond Dichotomous Items.

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

  4 in total
  1 in total

1.  Efficient Standard Errors in Item Response Theory Models for Short Tests.

Authors:  Lianne Ippel; David Magis
Journal:  Educ Psychol Meas       Date:  2019-10-18       Impact factor: 2.821

  1 in total

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