洞察本科医学学生选择工具:系统性审查和元分析
Pin-Hsiang Huang1,2,3, Arash Arianpoor1, Silas Taylor1
1Office of Medical Education, Faculty of Medicine & Health, The University of New South Wales, Sydney, Australia.
Journal of educational evaluation for health professions
|September 11, 2024
概括
之前的学业成绩和能力测试有效预测医学学生的成功. 然而,情境判断测试 (SJT) 和采访方法的预测能力需要进一步研究以证据为基础的选择.
科学领域:
- 医学教育 医学教育
- 心理测量 心理测量 心理测量
- 高等教育 高等教育
背景情况:
- 有效的选择工具对于识别成功的医学学生至关重要.
- 以前的审查表明,了解各种医学院选择方法的预测有效性存在差距.
- 这一元分析综合了关于选择工具有效性的经验证据.
研究的目的:
- 评估医学院选择工具在预测学生表现方面的有效性.
- 为学生选择过程提供基于证据的见解.
- 确定需要在医学教育录取中进一步研究的领域.
主要方法:
- 从2010年开始发表的同行评审文章的系统审查和元分析.
- 纳入标准侧重于经验数据,将选择工具的性能与学术和临床结果联系起来.
- 不包括系统评论,元分析,意见稿和评论.
主要成果:
- 以前的学业成绩显著预测了学业成绩 (ES=0.697早期,0.619结束) 和临床考试 (ES=0.545).
- 能力测试预测了学业成绩 (ES=0.550早期,0.371结束),口头和定量推理显示出强大的预测价值.
- 面试小组,多次小面试和情境判断测试 (SJT) 并没有产生统计学上显著的聚合效应大小.
结论:
- 之前的学业成绩和能力测试是医学学生学习成果的可靠预测指标.
- 需要进一步研究SJT的预测价值,选择算法和采访方法.
- 基于证据的医学院选择流程的完善对于未来的实践至关重要.
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