CrossRef Text and Data Mining
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The accuracy and consistency of mastery for each content domain using the Rasch and deterministic inputs, noisy “and” gate diagnostic classification models: a simulation study and a real-world analysis using data from the Korean Medical Licensing Examination
Dong Gi Seo, Jae Kum Kim
J Educ Eval Health Prof. 2021;18:15  Published online July 5, 2021
DOI: https://doi.org/10.3352/jeehp.2021.18.15

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Estimation of item parameters and examinees’ mastery probability in each domain of the Korean Medical Licensing Examination using a deterministic inputs, noisy “and” gate (DINA) model
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