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Predictive validity of a new integrated selection process for medical school admission

机译:医学院入学新综合选拔程序的预测有效性

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Background This paper is an evaluation of an integrated selection process utilising previous academic achievement [Universities Admission Index (UAI)], a skills test [Undergraduate Medicine and Health Sciences Admission Test (UMAT)], and a structured interview, introduced (in its entirety) in 2004 as part of curriculum reform of the undergraduate Medicine Program at the University of New South Wales (UNSW), Australia. Demographic measures of gender, country of birth, educational background and rurality are considered. Method Admission scores and program outcomes of 318 students enrolled in 2004 and 2005 were studied. Regression analyses were undertaken to determine whether selection scores predicted overall, knowledge-based and clinical-based learning outcomes after controlling for demographics. Results UAI attained the highest values in predicting overall and knowledge-based outcomes. The communication dimension of the interview achieved similar predictive values as UAI for clinical-based outcomes, although predictive values were relatively low. The UMAT did not predict any performance outcome. Female gender, European/European-derived country of birth and non-rurality were significant predictors independent of UAI scores. Conclusion Results indicate promising validity for an integrated selection process introduced for the Medicine Program at UNSW, with UAI and interview predictive of learning outcomes. Although not predictive, UMAT may have other useful roles in an integrated selection process. Further longitudinal research is proposed to monitor and improve the validity of the integrated student selection process.
机译:背景技术本文是对综合选拔过程的评估,该过程利用了先前的学术成就[大学录取指数(UAI)],技能测验[本科医学和健康科学录取测验(UMAT)]以及结构化面试,介绍了全部)作为澳大利亚新南威尔士大学(UNSW)医学本科课程改革的一部分。考虑了性别,出生国家,教育背景和农村人口统计指标。方法对2004年和2005年招收的318名学生的入学分数和课程结果进行了研究。进行回归分析以确定选择分数在控制人口统计学后是否预测整体,基于知识和基于临床的学习结果。结果UAI在预测总体和基于知识的结果方面获得了最高价值。访谈的交流维度对于基于临床的结局达到了与UAI相似的预测值,尽管预测值相对较低。 UMAT没有预测任何性能结果。女性性别,欧洲/欧洲出生国家和非乡村是独立于UAI得分的重要预测因子。结论结果表明,在UNSW的医学项目中引入的综合选拔过程具有广阔的前景,UAI和面试可预测学习成果。尽管不是预测性的,但UMAT在集成选择过程中可能还具有其他有用的作用。提出了进一步的纵向研究,以监测和提高综合学生选择过程的有效性。

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