Article (Scientific journals)
On the finiteness of the weighted likelihood estimator of ability
Magis, David; Verhelst, Norman
2017In Psychometrika, 82, p. 637-647
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Keywords :
Item response theory; dichotomous models; polytomous models; weighted likelihood estimation; Bayesian estimation; finiteness
Abstract :
[en] 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.
Disciplines :
Education & instruction
Author, co-author :
Magis, David ;  Université de Liège > Département des Sciences de l'éducation > Psychométrie et édumétrie
Verhelst, Norman
Language :
English
Title :
On the finiteness of the weighted likelihood estimator of ability
Publication date :
2017
Journal title :
Psychometrika
ISSN :
0033-3123
eISSN :
1860-0980
Publisher :
Psychonomic Society, Research Triangle Park, United States - Virginia
Volume :
82
Pages :
637-647
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 06 April 2016

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