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首页> 外文期刊>Medical teacher >Turning words into numbers: establishing an empirical cut score for a letter graded examination.
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Turning words into numbers: establishing an empirical cut score for a letter graded examination.

机译：把单词变成数字：为字母分级考试建立经验切分。

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BACKGROUND: High stakes postgraduate specialist certification examinations have considerable implications for candidates' future careers. The cut score i.e. pass/fail mark of such examinations needs to be determined in a defensible and credible manner. A number of methods, suitable for use with numeric scoring methods, have been described. Determining the cut score of letter-graded examinations is, however, not described in the literature. AIM: The aim of this study was to determine a defensible and credible method for deriving the cut score of a letter-graded examination. METHOD: The cut score of the Fellowship examination of the College of Physicians of South Africa was estimated using a novel method. This method was validated by comparing the results obtained to those obtained using the contrasting groups method. RESULTS: By using the examiners' decision as the 'gold standard' we found that a cut score of 50% best approximated the cutpoint of this letter-graded examination, achieving a sensitivity and specificity of 83.7% and 82.8% respectively. CONCLUSION: This paper describes a useful strategy for estimating the cut score of letter-graded examinations.
机译：背景：高风险研究生专业证书考试对候选人的未来职业具有重大影响。此类考试的减分（即通过/未通过分数）需要以可辩护和可信的方式确定。已经描述了许多适合与数字评分方法一起使用的方法。然而，在文献中没有描述确定字母等级考试的分数。目的：本研究的目的是确定一种可靠且可靠的方法来得出字母等级考试的减分。方法：采用新方法估算了南非内科医学院院士奖学金的得分。通过将获得的结果与使用对比组方法获得的结果进行比较，验证了该方法的有效性。结果：通过使用审查员的决定作为“金标准”，我们发现切分得分50％最佳地接近该字母分级检查的切分点，敏感性和特异性分别达到了83.7％和82.8％。结论：本文描述了一种有用的策略，用于评估字母等级考试的得分。

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