麦克马斯特叙事评论评分工具:发展和初始有效性证据证据
Natalie McGuire1, Anita Acai2, Ranil R Sonnadara3
1Office of Professional Development and Educational Scholarship, Queen's University, Kingston, Ontario, Canada.
Teaching and learning in medicine
|November 15, 2023
概括
麦克马斯特叙事评论评分工具可靠地评估医学教育中的书面反质量. 这种工具对于教师发展和研究,包括自动反分析是有用的.
科学领域:
- 医学教育研究 医学教育研究
- 评估和反的质量评估和反的质量
- 基于能力的医学教育
背景情况:
- 叙事评论对于基于能力的医学教育至关重要,但质量不同.
- 评估反质量的现有工具往往是特定于特定的环境或排除学习者的观点.
- 需要一个全面的,广泛适用的工具来衡量叙事评论的质量.
研究的目的:
- 开发和验证麦克马斯特叙事评论评分工具 (MNCRT) 以评估医学教育中书面反的质量.
- 识别高质量的叙事评论的关键特征.
- 创建一个工具可用于研究和教师发展的各种评级者.
主要方法:
- 文献审查以确定五个关键的反特征.
- 开发每个特征的评级表格.每个特征的评级表格.
- 通过涉及研究人员,学生,住院居民,教师和非专业人士的多级别可靠性测试进行验证.
主要成果:
- 麦克马斯特叙事评论评级工具在各种评级组中显示出中等至优异的可靠性 (ICCs = .51-.83和 .91-.98).
- 大多数工具领域都具有显著的相关性,表明内部一致性.
- 瓦伦斯是唯一一个与所有其他域没有显著相关的域.
结论:
- 麦克马斯特叙事评论评分工具是评估不同外科背景和评分类型的叙事评论质量的可靠工具.
- 该工具可以支持专注于评估和反的教师发展计划.
- 它为研究应用提供了潜力,包括对反质量的自动分析.
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