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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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| Published in: | Front Psychol |
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| Main Authors: | , , , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
Frontiers Media S.A.
2018
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6240662/ https://ncbi.nlm.nih.gov/pubmed/30483187 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fpsyg.2018.02175 |
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