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Factors in faculty evaluation of medical students' performance.

机译:教师评估医学生表现的因素。

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CONTEXT: Faculty members often use global rating scales as a method of assessing various characteristics of medical students' clinical performance. The purpose of this study was to determine if some performance characteristics are more highly associated with the overall faculty grade than others. METHODS: The clinical performance of 211 surgery clerkship students was evaluated by 2 or 3 faculty preceptors. Faculty rated students on 10 specific performance characteristics, using a 5-point scale. Faculty then assigned a numerical grade summarising the faculty's view of the student's performance. Reliability of the ratings was estimated by the intraclass correlation, and 1-way (analysis of variance) anova was used to test for differences among the students' mean ratings. Logistic regression was employed to determine the accuracy of each performance measure in predicting students' grades (A or B). Stepwise logistic regression was used to determine if there was a combination of performance characteristics that best predicted students' grades. RESULTS: The inter-rater reliabilities were low (
机译:语境:教师经常使用全球评分量表作为评估医学生临床表现各种特征的方法。这项研究的目的是确定某些绩效特征是否与其他教师的整体学业成绩更相关。方法:通过2或3名教职员工评估211名外科文员学生的临床表现。教师使用5分制对10个特定表现特征的学生进行评分。然后,教师分配一个数字等级,以概括该教师对学生表现的看法。通过组内相关性评估等级的可靠性,并使用1-way(方差分析)方差分析测试学生平均等级之间的差异。运用逻辑回归来确定每种绩效指标在预测学生成绩(A或B)中的准确性。使用逐步逻辑回归来确定是否存在可以最好地预测学生成绩的综合表现特征。结果:评分者间的可靠性低(<或= 0.33)。找到10个性能特征中的四个,可以最准确地预测分配的等级(80%)。但是,最不具预测性的特征达到了75%的准确性。逐步逻辑回归表明,10个性能特征中的2或3个组合使预测精度提高了<或= 4%。结论:任何单个特征的等级都可以非常准确地预测学生的整体成绩。附加措施不会大大提高预测的准确性。我们的结果表明,教师在分配学生成绩时做出相对无差异的判断,而使用多项目形式来评估医学生的临床表现几乎无济于事。

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