![]() |
CrossRef Text and Data Mining |
Result of CrossRef Text and Data Mining Search is the related articles with entitled article. If you click link1 or link2 you will be able to reach the full text site of selected articles; however, some links do not show the full text immediately at now. If you click CrossRef Text and Data Mining Download icon, you will be able to get whole list of articles from literature included in CrossRef Text and Data Mining. |
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 |
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 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 Using the iterative latent-class analysis approach to improve attribute accuracy in diagnostic classification models Deterministic models for rumor transmission Measures of Agreement: Reliability, Classification Accuracy, and Classification Consistency Proceed with Caution When Using Real World Data and Real World Evidence Analysis of First Clinical Skills Examination in the Korean Medical Licensing Examination: Focus on Examinees' Experience in a Medical School A Simulation Study for the Identification of Missing Data Mechanisms Using Visualisation Using Case-Study Simulation to Improve Critical Thinking and Content Mastery in Undergraduate Nursing Students Improving classification accuracy of acoustic real-world urban data using sensors physical redundancy |