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J Educ Eval Health Prof > Epub ahead of print
J Educ Eval Health Prof. 2022; 19: 23.
Published online August 31, 2022.
DOI: https://doi.org/10.3352/jeehp.2022.19.23
[Epub ahead of print]
Possibility of using the yes/no Angoff method as a substitute for the percent Angoff method for estimating the cut score of the Korean Medical Licensing Examination: a simulation study
Janghee Park 
Department of Medical Education, Soonchunhyang University College of Medicine, Cheonan, Korea
Correspondence  Janghee Park ,Email: jhpark22@sch.ac.kr
Editor:  Sun Huh, Hallym University, Korea
Submitted: July 10, 2022  Accepted after revision: August 3, 2022
Abstract
Purpose
The percent Angoff (PA) method has been recommended as a reliable method to set the cut score instead of a fixed cut point of 60% in the Korean Medical Licensing Examination (KMLE). The yes/no Angoff (YNA) method, which is easy for panelists to judge, can be considered as an alternative because the KMLE has many items to evaluate. This study aimed to compare the cut score and the reliability depending on whether the PA or the YNA standard-setting method was used in the KMLE.
Methods
The materials were the open-access PA data of the KMLE. The PA data were converted to YNA data in 5 categories, in which the probabilities for a “yes” decision by panelists were 50%, 60%, 70%, 80%, and 90%. SPSS for descriptive analysis and G-string for generalizability theory were used to present the results.
Results
The PA method and the YNA method counting 60% as “yes,” estimated similar cut scores. Those cut scores were deemed acceptable based on the results of the Hofstee method. The highest reliability coefficients estimated by the generalizability test were from the PA method and the YNA method, with probabilities of 70%, 80%, 60%, and 50% for deciding “yes,” in descending order. The panelist’s specialty was the main cause of the error variance. The error size was similar regardless of the standard-setting method.
Conclusion
The above results showed that the PA method was more reliable than the YNA method in estimating the cut score of the KMLE. However, the YNA method with a 60% probability for deciding “yes” also can be used as a substitute for the PA method in estimating the cut score of the KMLE.
Keywords: Access to information; Educational measurement; Probability; Reproducibility of results; Republic of Korea
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