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Systematic review and meta-analysis as a structured platform for teaching principles of experimentation

机译:系统审查和元分析作为教学实验原则的结构化平台

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Access to knowledge has never been easier in the internet age, and so it is important that students develop skills to discriminate undependable information from reliably investigated research. We have created an exercise that teaches good research practice by exploring the history, ethics, and design of clinical trials. Students apply their understanding of these principles through an assessed systematic review and meta-analysis (SRMA) exercise. Here, a clinically themed hypothesis is tested using a structured literature search in conjunction with an eligibility matrix to map study design, ethics, subject selection, randomization and blinding, methodological standards, study power, and other potential sources of interstudy heterogeneity. Data extracted from selected studies are used to produce a forest plot with an aggregated effect size, confidence range, and measure of interstudy heterogeneity. A funnel plot is then used in conjunction with the eligibility matrix to evaluate study bias tendency, and, in this way, students reflect on the factors that promote disparate conclusion-making among studies with a common research focus. This exercise produced a normally distributed grade-profile across three academic-year cohorts, and comparison of individual exercise grade with year-long aggregated average suggested students who performed less well on conventional assignments engaged successfully with the systematic nature of this assessment. Those opting to use this format for their final-year capstone project also performed above their grade point average from the preceding year. We suggest that SRMA offers a readily applied method for students to quantitatively explore how differences in experimental research practices influence study dependability.
机译:在互联网时代的访问从未在互联网时代更容易,因此学生培养能够从可靠地调查的研究中区分不可依赖性信息的技能。我们创造了一项练习,通过探索历史,道德和临床试验设计来教导良好的研究实践。学生通过评估的系统审查和荟萃分析(SRMA)练习来对这些原则进行理解。这里,使用结构化文献搜索与资格矩阵一起测试临床主题假设,以映射研究设计,伦理,主题选择,随机化和致盲,方法标准,研究能力以及非突变性异质性的其他潜在来源。从所选研究中提取的数据用于产生具有聚集效应大小,置性范围和非暴力异质性衡量的森林图。然后将漏斗图与资格矩阵结合使用以评估研究偏置倾向,并以这种方式,学生反映了促进普遍研究重点的研究中的不同结论制作的因素。本次练习在三个学年队列中产生了常数分布的成绩型,并且与年长的汇总平均水平的个人运动成绩的比较,建议在传统任务上表现不佳的学生成功与本评估的系统性质成功进行。选择使用此格式的人为他们的最后一年的Capstone项目使用此格式也以前一年的平均成绩平均而言。我们建议SRMA为学生提供了一种易于应用的方法,以定量探索实验研究实践如何影响研究可靠性的差异。

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