Reference : Accuracy of dichotomous logistic IRT models to estimate ability with multiple choice items
Scientific congresses and symposiums : Unpublished conference/Abstract
Social & behavioral sciences, psychology : Education & instruction
http://hdl.handle.net/2268/202046
Accuracy of dichotomous logistic IRT models to estimate ability with multiple choice items
English
Magis, David mailto [Université de Liège > Département des Sciences de l'éducation > Psychométrie et édumétrie >]
13-Oct-2016
Yes
No
International
RCEC workshop on Item Response Theory and Educational Measurement
12-14 octobre 2016
Research Center for Examinations and Certification
Twente
Pays-Bas
[en] Item response theory ; Multiple-choice items ; Guessing ; Dichotomous models ; Polytomous models
[en] This presentation focuse son multiple-choice items without any control or correction for guessing. Most often these items are recoded as binary outcomes (TRUE-FALSE) and logistic IRT models are calibrated using these recoded data. The main purpose of this study is to highlight the limits of this approach by (a) proposing a simulation model to allow for guessing at various levels of ability, and (b) comparing the dichotomous approach to the use of nominal response model. Preliminary simulations indicate that none of the models are very accurate to estimate latent abilities accurately, though the nominal response model has fewer bias then the dichotomous models.
http://hdl.handle.net/2268/202046

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