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首页> 外文期刊>Perspectives on Medical Education >Data analysis in medical education research: a multilevel perspective
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Data analysis in medical education research: a multilevel perspective

机译：医学教育研究中的数据分析：多层次视角

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摘要

A substantial part of medical education research focuses on learning in teams (e.g., departments, problem-based learning groups) or centres (e.g., clinics, institutions) that are followed over time. Individual students or employees sharing the same team or centre tend to be more similar in learning than students or employees from different teams or centres. In other words, when students or employees are nested within teams or centres, there is a within-team or within-centre correlation that should be taken into account in the analysis of data obtained from individuals in these teams or centres. Further, when individuals are measured several times on the same performance (or other) variable, these repeated measurements tend to be correlated, that is: we are dealing with an intra-individual correlation that should be taken into account when analyzing data obtained from these individuals. In such a study context, many researchers resort to methods that cannot account for intra-team and/or intra-individual correlation and this may result in incorrect conclusions with regard to effects and relations of interest. This comparison paper presents the benefits which result from adopting a proper multilevel perspective on the conceptualization and estimation of effects and relations of interest.
机译：医学教育研究的很大一部分重点是随着时间的推移在团队（例如部门，基于问题的学习小组）或中心（例如诊所，机构）中进行学习。与来自不同团队或中心的学生或员工相比，共享同一团队或中心的学生或员工个人在学习上往往更相似。换句话说，当学生或员工嵌套在团队或中心内时，在分析从这些团队或中心的个人获得的数据时，应考虑团队内部或中心内部的相关性。此外，当用相同的性能（或其他）变量对个体进行多次测量时，这些重复的测量往往具有相关性，即：我们正在处理个体内部相关性，在分析从这些内部相关性获得的数据时应予以考虑个人。在这样的研​​究背景下，许多研究人员诉诸无法解释团队内部和/或个人内部相关性的方法，这可能导致关于效果和利益关系的错误结论。这份比较论文介绍了采用适当的多层次观点对效果和利益关系进行概念化和估算所带来的好处。

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