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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Detalles Bibliográficos
Autores principales: Bolt, Daniel M., Lee, Sora, Wollack, James, Eckerly, Carol, Sowles, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Psychology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6240662/
https://www.ncbi.nlm.nih.gov/pubmed/30483187
http://dx.doi.org/10.3389/fpsyg.2018.02175

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6240662/
https://www.ncbi.nlm.nih.gov/pubmed/30483187
http://dx.doi.org/10.3389/fpsyg.2018.02175

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