Journal of Educational Evaluation for Health Professions

Review

How to execute Context, Input, Process, and Product evaluation model in medical health education: So young Lee, Jwa-Seop Shin, Seung-Hee Lee; J Educ Eval Health Prof. 2019;16:40. Published online December 28, 2019; DOI: https://doi.org/10.3352/jeehp.2019.16.40

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Improvements to education are necessary in order to keep up with the education requirements of today. The Context, Input, Process, and Product (CIPP) evaluation model was created for the decision-making towards education improvement, so this model is appropriate in this regard. However, application of this model in the actual context of medical health education is considered difficult in the education environment. Thus, in this study, literature survey of previous studies was investigated to examine the execution procedure of how the CIPP model can be actually applied. For the execution procedure utilizing the CIPP model, the criteria and indicators were determined from analysis results and material was collected after setting the material collection method. Afterwards, the collected material was analyzed for each CIPP element, and finally, the relationship of each CIPP element was analyzed for the final improvement decision-making. In this study, these steps were followed and the methods employed in previous studies were organized. Particularly, the process of determining the criteria and indicators was important and required a significant effort. Literature survey was carried out to analyze the most widely used criteria through content analysis and obtained a total of 12 criteria. Additional emphasis is necessary in the importance of the criteria selection for the actual application of the CIPP model. Also, a diverse range of information can be obtained through qualitative as well as quantitative methods. Above all, since the CIPP evaluation model execution result becomes the basis for the execution of further improved evaluations, the first attempt of performing without hesitation is essential.

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Original Article

Comparison of item analysis results of Korean Medical Licensing Examination according to classical test theory and item response theory: Eun Young Lim, Jang Hee Park, ll Kwon, Gue Lim Song, Sun Huh; J Educ Eval Health Prof. 2004;1(1):67-76. Published online January 31, 2004; DOI: https://doi.org/10.3352/jeehp.2004.1.1.67

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Abstract PDF

The results of the 64th and 65th Korean Medical Licensing Examination were analyzed according to the classical test theory and item response theory in order to know the possibility of applying item response theory to item analys and to suggest its applicability to computerized adaptive test. The correlation coefficiency of difficulty index, discriminating index and ability parameter between two kinds of analysis were got using computer programs such as Analyst 4.0, Bilog and Xcalibre. Correlation coefficiencies of difficulty index were equal to or more than 0.75; those of discriminating index were between - 0.023 and 0.753; those of ability parameter were equal to or more than 0.90. Those results suggested that the item analysis according to item response theory showed the comparable results with that according to classical test theory except discriminating index. Since the ability parameter is most widely used in the criteria-reference test, the high correlation between ability parameter and total score can provide the validity of computerized adaptive test utilizing item response theory.

Citations

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Analysis on Validity and Academic Competency of Mock Test for Korean Medicine National Licensing Examination Using Item Response Theory
Han Chae, Eunbyul Cho, SeonKyoung Kim, DaHye Choi, Seul Lee
Keimyung Medical Journal.2023; 42(1): 7. CrossRef
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
Journal of Educational Evaluation for Health Professions.2023; 20: 31. CrossRef
Can computerized tests be introduced to the Korean Medical Licensing Examination?
Sun Huh
Journal of the Korean Medical Association.2012; 55(2): 124. CrossRef

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