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研究生入学牙科学校的招生流程:我们能否预测学业表现?

The admissions process in a graduate-entry dental school: can we predict academic performance?

机构信息

The University of Aberdeen Dental School and Hospital, Foresterhill, Aberdeen, AB25 2ZR.

出版信息

Br Dent J. 2013 Jan;214(2):E4. doi: 10.1038/sj.bdj.2013.56.

Abstract

AIM

To assess the association between the admissions performance and subsequent academic achievement within a graduate-entry dental school.

METHODS

The study was conducted at the University of Aberdeen Dental School. UCAS forms for course applicants were reviewed and assigned a pre-admission score (PAS) and a tariff given for the UCAS personal statement (UCAS). Individuals ranked highest were invited to attend multiple mini-interviews (MMI), which were scored. Data was correlated with academic performance reported as the University Common Assessment Scale (0-20). Comparisons were also made between the first degree and subsequent educational achievement.

STATISTICS

Data were analysed by multiple linear regression, Pearson correlation and unstacked ANOVA (IBM SPSS Statistics 19).

RESULTS

Data were obtained for 75 students (F: 50; M: 25). A correlation between performance at MMI and CAS scores was identified (r = 0.180, p = 0.001, df = 538). A correlation was also noted between each student's first degree and the CAS scores (F = 4.08, p = 0.001, df = 9).

CONCLUSIONS

This study suggests that candidate performance at MMI might be a stronger predictor of academic and clinical performance of graduate-entry dental students compared to other pre-interview selection criteria. The first degree for such a programme also appears to be significant.

摘要

目的

评估在一所研究生入学的牙科学院中,入学成绩与后续学业成绩之间的关系。

方法

本研究在阿伯丁大学牙科学院进行。审查了课程申请人的 UCAS 表格,并为其预录取成绩(PAS)和 UCAS 个人陈述(UCAS)分配了一个分数。排名最高的人被邀请参加多次迷你面试(MMI),并对其进行评分。数据与作为大学共同评估量表(0-20)报告的学业成绩相关联。还比较了第一学位和后续教育成就之间的差异。

统计学

使用多元线性回归、皮尔逊相关和非堆叠 ANOVA(IBM SPSS Statistics 19)对数据进行分析。

结果

为 75 名学生(F:50;M:25)获得了数据。确定了 MMI 和 CAS 分数之间的相关性(r = 0.180,p = 0.001,df = 538)。还注意到每个学生的第一学位与 CAS 分数之间存在相关性(F = 4.08,p = 0.001,df = 9)。

结论

本研究表明,与其他面试前选择标准相比,候选人在 MMI 中的表现可能是研究生入学牙医学生学业和临床表现的更强预测指标。对于这样的项目,第一学位似乎也很重要。

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