Suppr超能文献

相同的入学工具,不同的结果:对三所本科医学院校预测效度的批判性视角。

Same admissions tools, different outcomes: a critical perspective on predictive validity in three undergraduate medical schools.

机构信息

Australian Council for Educational Research and Centre for Population and Urban Research, Monash University, Melbourne, Australia.

出版信息

BMC Med Educ. 2013 Dec 27;13:173. doi: 10.1186/1472-6920-13-173.

Abstract

BACKGROUND

Admission to medical school is one of the most highly competitive entry points in higher education. Considerable investment is made by universities to develop selection processes that aim to identify the most appropriate candidates for their medical programs. This paper explores data from three undergraduate medical schools to offer a critical perspective of predictive validity in medical admissions.

METHODS

This study examined 650 undergraduate medical students from three Australian universities as they progressed through the initial years of medical school (accounting for approximately 25 per cent of all commencing undergraduate medical students in Australia in 2006 and 2007). Admissions criteria (aptitude test score based on UMAT, school result and interview score) were correlated with GPA over four years of study. Standard regression of each of the three admissions variables on GPA, for each institution at each year level was also conducted.

RESULTS

Overall, the data found positive correlations between performance in medical school, school achievement and UMAT, but not interview. However, there were substantial differences between schools, across year levels, and within sections of UMAT exposed. Despite this, each admission variable was shown to add towards explaining course performance, net of other variables.

CONCLUSION

The findings suggest the strength of multiple admissions tools in predicting outcomes of medical students. However, they also highlight the large differences in outcomes achieved by different schools, thus emphasising the pitfalls of generalising results from predictive validity studies without recognising the diverse ways in which they are designed and the variation in the institutional contexts in which they are administered. The assumption that high-positive correlations are desirable (or even expected) in these studies is also problematised.

摘要

背景

进入医学院是高等教育中竞争最激烈的入学点之一。各大学投入了大量资金来开发选拔程序,旨在为其医学课程选拔最合适的候选人。本文从三个本科医学院校的数据出发,对医学入学的预测有效性进行了批判性的分析。

方法

本研究对来自澳大利亚三所大学的 650 名本科医学生进行了调查,这些学生在医学院的初始几年中取得了进步(占 2006 年和 2007 年澳大利亚所有开始本科医学的学生的 25%)。将入学标准(基于 UMAT 的能力测试成绩、学校成绩和面试成绩)与四年的平均绩点相关联。还对每个机构在每个年级水平上的三个入学变量对 GPA 的标准回归进行了分析。

结果

总体而言,数据发现医学院表现、学业成绩和 UMAT 之间存在正相关,但面试没有。然而,在学校之间、年级水平之间以及 UMAT 暴露的不同部分之间存在很大差异。尽管如此,每个入学变量都被证明可以在其他变量之外增加对课程表现的解释力。

结论

研究结果表明,多种入学工具在预测医学生的学习成果方面具有较强的预测能力。然而,它们也强调了不同学校取得的成果存在很大差异,因此,如果不认识到它们在设计和管理方面的多样性,以及在实施方面的机构背景的差异,就无法推广预测有效性研究的结果。在这些研究中,高正相关是可取的(甚至是预期的)这一假设也存在问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14aa/3880586/e48a4195889b/1472-6920-13-173-1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验