Application of Asymmetric IRT Modeling to Discrete-Option Multiple-Choice Test Items

Application of Asymmetric IRT Modeling to Discrete-Option Multiple-Choice Test Items

Asymmetric IRT models have been shown useful for capturing heterogeneity in the number of latent subprocesses underlying educational test items (Lee and Bolt, 2018a). One potentially useful practical application of such models is toward the scoring of discrete-option multiple-choice (DOMC) items. Un...

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Bibliographic Details
Main Authors:	Daniel M. Bolt, Sora Lee, James Wollack, Carol Eckerly, John Sowles
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2018-11-01
Series:	Frontiers in Psychology
Subjects:	item response theory (IRT) computerized testing multiple-choice latent ability estimates Samejima's logistic positive exponent (LPE) model
Online Access:	https://www.frontiersin.org/article/10.3389/fpsyg.2018.02175/full

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