Division of Clinical and Population Sciences and Education, University of Dundee, Dundee, UK.
Med Educ. 2013 Jul;47(7):717-25. doi: 10.1111/medu.12193.
The multiple mini-interview (MMI) is the primary admissions tool used to assess non-cognitive skills at Dundee Medical School. Although the MMI shows promise, more research is required to demonstrate its transferability and predictive validity, for instance, relative to other UK pre-admissions measures.
Applicants were selected for interview based on a combination of measures derived from the Universities and Colleges Admissions Service (UCAS) form (academic achievement, medical experience, non-academic achievement and references) and the UK Clinical Aptitude Test (UKCAT) in 2009 and 2010. Candidates were selected into medical school according to a weighted combination of the UKCAT, the UCAS form and MMI scores. Examination scores were matched for 140 and 128 first- and second-year students, respectively, who took the 2009 MMIs, and 150 first-year students who took the 2010 MMIs. Pearson's correlations were used to test the relationships between pre-admission variables, examination scores and demographic variables, namely gender and age. Statistically significant correlations were adjusted for range restrictions and were used to select variables for multiple linear regression analysis to predict examination scores.
Statistically significant correlations ranged from 0.18 to 0.34 and 0.23 to 0.50 unrestricted. Multiple regression confirmed that MMIs remained the most consistent predictor of medical school assessments. No scores derived from the UCAS form correlated significantly with examination scores.
This study reports positive findings from the largest undergraduate sample to date. The MMI was the most consistent predictor of success in early years at medical school across two separate cohorts. UKCAT and UCAS forms showed minimal or no predictive ability. Further research in this area appears worthwhile, with longitudinal studies, replication of results from other medical schools and more detailed analysis of knowledge, skills and attitudinal outcome markers.
多站式迷你面试（MMI）是邓迪医学院用于评估非认知技能的主要招生工具。尽管 MMI 显示出了前景，但需要更多的研究来证明其可转移性和预测有效性，例如相对于其他英国入学前的评估措施。
在 2009 年和 2010 年，根据来自大学和学院招生服务（UCAS）表格（学业成绩、医学经验、非学术成就和推荐信）和英国临床能力倾向测验（UKCAT）的组合措施，选择申请人进行面试。根据 UKCAT、UCAS 表格和 MMI 分数的加权组合，选拔候选人进入医学院。2009 年 MMI 考试的 140 名和 128 名第一和第二学年学生，以及 2010 年 MMI 考试的 150 名第一学年学生，考试成绩相匹配。Pearson 相关系数用于检验入学前变量、考试成绩和人口统计学变量（即性别和年龄）之间的关系。对统计学上显著的相关性进行了范围限制调整，并用于选择变量进行多元线性回归分析，以预测考试成绩。
未受限制的统计学显著相关性范围为 0.18 至 0.34 和 0.23 至 0.50。多元回归证实，MMI 仍然是医学院评估最一致的预测因素。UCAS 表格中的任何分数与考试成绩均无显著相关性。
本研究报告了迄今为止最大的本科生样本的积极发现。在两个独立的队列中，MMI 是预测医学院早期成功的最一致的预测因素。UKCAT 和 UCAS 表格显示出最小或没有预测能力。在这一领域进一步研究似乎是值得的，包括进行纵向研究、复制其他医学院的结果以及更详细地分析知识、技能和态度结果标记。
