Janghee Park, Mi Kyoung Yim, Sujin Shin, Rhayun Song, Jun-Ah Song, Inyoung Lee, Heejeong Kim, Minjae Lee
{"title":"关于设立韩国护理执照考试及格分数的建议。","authors":"Janghee Park, Mi Kyoung Yim, Sujin Shin, Rhayun Song, Jun-Ah Song, Inyoung Lee, Heejeong Kim, Minjae Lee","doi":"10.3352/jeehp.2025.22.25","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>The Korean Nursing Licensing Examination (KNLE) is planning to transition to a computer-based test (CBT). This study aims to propose a reasonable and efficient method for setting passing scores.</p><p><strong>Methods: </strong>A standard setting (passing score setting) analysis was conducted using an expert panel over the past 3 years of the national nursing examination. The standard-setting method was modified from Angoff, and the validity of the passing score was verified through the Hofstee method. The standard-setting workshop was conducted in 2 stages: first, a pilot workshop for 2 subjects, followed by a second workshop where 6 additional subjects were selected based on the pilot results. For items with an actual correct answer rate of 90% or higher, the estimated correct answer rate for minimum competency was calculated using the observed correct answer rate. A survey and discussion with the expert panel were also conducted regarding the standard-setting procedures and results.</p><p><strong>Results: </strong>The passing score for the national nursing examination was calculated using the new method, and the score was slightly higher than the existing score. The nursing subject had similar results,; however, the legal subjects varied.</p><p><strong>Conclusion: </strong>The modified Angoff and Hofstee methods were successfully applied to the KNLE. Using the actual correct answer rate as an indicator to derive expected minimum competency was shown to be effective. This approach could streamline future standard-setting processes, particularly when converting to CBT.</p>","PeriodicalId":46098,"journal":{"name":"Journal of Educational Evaluation for Health Professions","volume":"22 ","pages":"25"},"PeriodicalIF":3.7000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Proposal for setting a passing score for the Korean Nursing Licensing Examination.\",\"authors\":\"Janghee Park, Mi Kyoung Yim, Sujin Shin, Rhayun Song, Jun-Ah Song, Inyoung Lee, Heejeong Kim, Minjae Lee\",\"doi\":\"10.3352/jeehp.2025.22.25\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>The Korean Nursing Licensing Examination (KNLE) is planning to transition to a computer-based test (CBT). This study aims to propose a reasonable and efficient method for setting passing scores.</p><p><strong>Methods: </strong>A standard setting (passing score setting) analysis was conducted using an expert panel over the past 3 years of the national nursing examination. The standard-setting method was modified from Angoff, and the validity of the passing score was verified through the Hofstee method. The standard-setting workshop was conducted in 2 stages: first, a pilot workshop for 2 subjects, followed by a second workshop where 6 additional subjects were selected based on the pilot results. For items with an actual correct answer rate of 90% or higher, the estimated correct answer rate for minimum competency was calculated using the observed correct answer rate. A survey and discussion with the expert panel were also conducted regarding the standard-setting procedures and results.</p><p><strong>Results: </strong>The passing score for the national nursing examination was calculated using the new method, and the score was slightly higher than the existing score. The nursing subject had similar results,; however, the legal subjects varied.</p><p><strong>Conclusion: </strong>The modified Angoff and Hofstee methods were successfully applied to the KNLE. Using the actual correct answer rate as an indicator to derive expected minimum competency was shown to be effective. This approach could streamline future standard-setting processes, particularly when converting to CBT.</p>\",\"PeriodicalId\":46098,\"journal\":{\"name\":\"Journal of Educational Evaluation for Health Professions\",\"volume\":\"22 \",\"pages\":\"25\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2025-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Educational Evaluation for Health Professions\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3352/jeehp.2025.22.25\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/9/8 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"EDUCATION, SCIENTIFIC DISCIPLINES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Educational Evaluation for Health Professions","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3352/jeehp.2025.22.25","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/9/8 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"EDUCATION, SCIENTIFIC DISCIPLINES","Score":null,"Total":0}
Proposal for setting a passing score for the Korean Nursing Licensing Examination.
Purpose: The Korean Nursing Licensing Examination (KNLE) is planning to transition to a computer-based test (CBT). This study aims to propose a reasonable and efficient method for setting passing scores.
Methods: A standard setting (passing score setting) analysis was conducted using an expert panel over the past 3 years of the national nursing examination. The standard-setting method was modified from Angoff, and the validity of the passing score was verified through the Hofstee method. The standard-setting workshop was conducted in 2 stages: first, a pilot workshop for 2 subjects, followed by a second workshop where 6 additional subjects were selected based on the pilot results. For items with an actual correct answer rate of 90% or higher, the estimated correct answer rate for minimum competency was calculated using the observed correct answer rate. A survey and discussion with the expert panel were also conducted regarding the standard-setting procedures and results.
Results: The passing score for the national nursing examination was calculated using the new method, and the score was slightly higher than the existing score. The nursing subject had similar results,; however, the legal subjects varied.
Conclusion: The modified Angoff and Hofstee methods were successfully applied to the KNLE. Using the actual correct answer rate as an indicator to derive expected minimum competency was shown to be effective. This approach could streamline future standard-setting processes, particularly when converting to CBT.
期刊介绍:
Journal of Educational Evaluation for Health Professions aims to provide readers the state-of-the art practical information on the educational evaluation for health professions so that to increase the quality of undergraduate, graduate, and continuing education. It is specialized in educational evaluation including adoption of measurement theory to medical health education, promotion of high stakes examination such as national licensing examinations, improvement of nationwide or international programs of education, computer-based testing, computerized adaptive testing, and medical health regulatory bodies. Its field comprises a variety of professions that address public medical health as following but not limited to: Care workers Dental hygienists Dental technicians Dentists Dietitians Emergency medical technicians Health educators Medical record technicians Medical technologists Midwives Nurses Nursing aides Occupational therapists Opticians Oriental medical doctors Oriental medicine dispensers Oriental pharmacists Pharmacists Physical therapists Physicians Prosthetists and Orthotists Radiological technologists Rehabilitation counselor Sanitary technicians Speech-language therapists.