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Similarity of the cut score in test sets with different item amounts using the modified Angoff, modified Ebel, and Hofstee standard-setting methods for the Korean Medical Licensing Examination.
Park, Janghee; Yim, Mi Kyoung; Kim, Na Jin; Ahn, Duck Sun; Kim, Young-Min.
Affiliation
  • Park J; Department of Medical Education, Soonchunhyang University College of Medicine, Asan, Korea.
  • Yim MK; Korea Health Personnel Licensing Examination Institute, Seoul, Korea.
  • Kim NJ; The Catholic University of Korea, College of Medicine, Seoul, Korea.
  • Ahn DS; Korea University College of Medicine, Seoul, Korea.
  • Kim YM; The Catholic University of Korea, College of Medicine, Seoul, Korea.
Article in En | MEDLINE | ID: mdl-33010798
PURPOSE: The Korea Medical Licensing Exam (KMLE) typically contains a large number of items. The purpose of this study was to investigate whether there is a difference in the cut score between evaluating all items of the exam and evaluating only some items when conducting standard-setting. METHODS: We divided the item sets that appeared on 3 recent KMLEs for the past 3 years into 4 subsets of each year of 25% each based on their item content categories, discrimination index, and difficulty index. The entire panel of 15 members assessed all the items (360 items, 100%) of the year 2017. In split-half set 1, each item set contained 184 (51%) items of year 2018 and each set from split-half set 2 contained 182 (51%) items of the year 2019 using the same method. We used the modified Angoff, modified Ebel, and Hofstee methods in the standard-setting process. RESULTS: Less than a 1% cut score difference was observed when the same method was used to stratify item subsets containing 25%, 51%, or 100% of the entire set. When rating fewer items, higher rater reliability was observed. CONCLUSION: When the entire item set was divided into equivalent subsets, assessing the exam using a portion of the item set (90 out of 360 items) yielded similar cut scores to those derived using the entire item set. There was a higher correlation between panelists' individual assessments and the overall assessments.
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Full text: 1 Database: MEDLINE Main subject: Educational Measurement / Licensure Limits: Adult / Child / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: En Journal: J Educ Eval Health Prof Year: 2020 Type: Article

Full text: 1 Database: MEDLINE Main subject: Educational Measurement / Licensure Limits: Adult / Child / Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: En Journal: J Educ Eval Health Prof Year: 2020 Type: Article