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The ability of ‘non-cognitive’ traits to predict undergraduate performance in medical schools: a national linkage study

机译:“非认知”特质预测医学院校本科生表现的能力:一项国家联系研究

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In addition to the evaluation of educational attainment and intellectual ability there has been interest in the potential to select medical school applicants on non-academic qualities. Consequently, a battery of self-report measures concerned with assessing ‘non-cognitive’ traits was piloted as part of the UK Clinical Aptitude Test (UKCAT) administration to evaluate their potential to be used in selection. The four non-cognitive instruments piloted were: 1) the Libertarian-communitarian scale, (2) The NACE (narcissism, aloofness, confidence and empathy, (3) the MEARS (Managing emotions and resilience scale; self-esteem, optimism, control, self-discipline, emotional-nondefensiveness and faking, and (4) an abridged version of instruments (1) and (2) combined. Non-cognitive scores and sociodemographic characteristics were available for 14,387 applicants. A series of univariable and multivariable analyses were conducted in order to assess the ability of the non-cognitive scores to predict knowledge and skills-based performance, as well as the odds of passing each academic year at first attempt. Non-cognitive scores and medical performance were standardised within cohorts. The scores on the non-cognitive scales showed only very small (magnitude of standardised betas
机译:除了评估教育程度和智力能力外,人们还有兴趣根据非学术素质选择医学院校申请者。因此,作为评估“非认知”特质的一系列自我报告措施,在英国临床能力测验(UKCAT)管理中进行了试点,以评估其在选择中的潜力。试行的四种非认知工具是:1)自由主义者-共产主义量表;(2)NACE(自恋,超然性,自信和同情心);(3)MEARS(管理情绪和适应力量表;自尊,乐观,控制) ,自律,情绪防御和伪造,以及(4)结合使用精简版的工具(1)和(2),可为14,387名申请人提供非认知得分和社会人口统计学特征,并进行了一系列单变量和多变量分析为了评估非认知分数预测基于知识和技能的表现的能力以及首次尝试通过每个学年的几率,将非认知分数和医疗表现进行了标准化。在非认知量表上显示的值很小(标准贝塔系数<0.2),尽管有时具有统计学显着性(p <0.01)与随后的知识表现有单变量关联r基于技能的评估。非认知得分和首次通过一学年的概率之间唯一具有统计意义的关联是经过简化测试的自恋得分(OR 0.84,95%置信区间0.71至0.97,p = 0.02)。我们的发现与先前发表的研究一致。这些测试的预测本科生学习成绩的能力非常有限,尽管可能需要对识别医学生自恋的进一步研究。但是,此类自我报告工具在高风险环境中的有效性可能会受到影响,从而使此类工具不太可能在选择过程中增加价值。

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