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Item difficulty index, discrimination index, and reliability of the 26 health professions licensing examinations in 2024, Korea: a psychometric study
Yoon Hee Kim, Bo Hyun Kim, Joonki Kim, Bokyoung Jung, Sangyoung Bae
J Educ Eval Health Prof. 2025;22:38.   Published online December 15, 2025
DOI: https://doi.org/10.3352/jeehp.2025.22.38
  • 1,904 View
  • 132 Download
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Item difficulty index, discrimination index, and reliability of the 26 health professions licensing examinations in 2023, Korea: a psychometric study
Yoon Hee Kim, Bo Hyun Kim, Joonki Kim, Bokyoung Jung, Sangyoung Bae
J Educ Eval Health Prof. 2024;21:40.   Published online December 11, 2024
DOI: https://doi.org/10.3352/jeehp.2024.21.40
  • 4,599 View
  • 208 Download
  • 2 Web of Science
  • 2 Crossref
PDFSupplementary Material

Citations

Citations to this article as recorded by  
  • Development and validation of the Sc-CTM module: Integrating unplugged and plugged-in computational thinking in science education
    Noraini Lapawi, Kamisah Osman, Hazrati Husnin
    Pedagogical Research.2026; 11(4): em0287.     CrossRef
  • Analyzing the relationship between psychometric indices of item analysis with attainment of course learning outcomes: cross-sectional study in integrated outcome-based dental curriculum courses
    Kiran Kumar Ganji, Nilakantan Ananthakrishnan, Shivasakthy Manivasakan, Mohammed Katib Alruwaili, Meshal Aber Alonazi, Hmoud Ali Algarni
    BMC Medical Education.2025;[Epub]     CrossRef
Technical report
Item difficulty index, discrimination index, and reliability of the 26 health professions licensing examinations in 2022, Korea: a psychometric study
Yoon Hee Kim, Bo Hyun Kim, Joonki Kim, Bokyoung Jung, Sangyoung Bae
J Educ Eval Health Prof. 2023;20:31.   Published online November 22, 2023
DOI: https://doi.org/10.3352/jeehp.2023.20.31
  • 8,632 View
  • 339 Download
  • 7 Web of Science
  • 11 Crossref
AbstractAbstract PDFSupplementary Material
Purpose
This study presents item analysis results of the 26 health personnel licensing examinations managed by the Korea Health Personnel Licensing Examination Institute (KHPLEI) in 2022.
Methods
The item difficulty index, item discrimination index, and reliability were calculated. The item discrimination index was calculated using a discrimination index based on the upper and lower 27% rule and the item-total correlation.
Results
Out of 468,352 total examinees, 418,887 (89.4%) passed. The pass rates ranged from 27.3% for health educators level 1 to 97.1% for oriental medical doctors. Most examinations had a high average difficulty index, albeit to varying degrees, ranging from 61.3% for prosthetists and orthotists to 83.9% for care workers. The average discrimination index based on the upper and lower 27% rule ranged from 0.17 for oriental medical doctors to 0.38 for radiological technologists. The average item-total correlation ranged from 0.20 for oriental medical doctors to 0.38 for radiological technologists. The Cronbach α, as a measure of reliability, ranged from 0.872 for health educators-level 3 to 0.978 for medical technologists. The correlation coefficient between the average difficulty index and average discrimination index was -0.2452 (P=0.1557), that between the average difficulty index and the average item-total correlation was 0.3502 (P=0.0392), and that between the average discrimination index and the average item-total correlation was 0.7944 (P<0.0001).
Conclusion
This technical report presents the item analysis results and reliability of the recent examinations by the KHPLEI, demonstrating an acceptable range of difficulty index and discrimination index values, as well as good reliability.

Citations

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    Himel Mondal, Pradosh Kumar Sarangi, Shaikat Mondal, Anupkumar D Dhanvijay, Rintu K Gayen, Aritra Mukhopadhyay, Raunak Mishra
    Cureus.2026;[Epub]     CrossRef
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    Lijuan Di, Jianhua Zhang, Guangyu Zhao, Yan Fan
    Insights into Imaging.2026;[Epub]     CrossRef
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    Journal of Educational, Cultural and Psychological Studies (ECPS Journal).2026;[Epub]     CrossRef
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    Azmizan Abd Rahman, Mohamad Termizi Borhan, Ahmad Muslihin Ahmad
    Pertanika Journal of Vocational, Science and Technology Education.2026; (2): 156.     CrossRef
  • Psychometric characteristics of Korean Medical Licensing Examination items from 2012 to 2022 analyzed using the Rasch model and 2-parameter logistic model
    Dong Gi Seo, Jeongwook Choi, Mee Young Kim, Sun Huh
    Journal of Educational Evaluation for Health Professions.2026; 23: 23.     CrossRef
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    Anatomical Sciences Education.2025; 18(9): 985.     CrossRef
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    BMC Medical Education.2025;[Epub]     CrossRef
  • Measuring Children’s Knowledge of Acute Rheumatic Fever and Rheumatic Heart Disease: Development and Validation of RHD Knowledge Scale in Nepal
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