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为元分析方法注入活力。

Breathing Life Into Meta-Analytic Methods.

作者信息

Allbritton David, Gómez Pablo, Angele Bernhard, Vasilev Martin, Perea Manuel

机构信息

DePaul University, Department of Psychology, Chicago, IL, USA.

Skidmore College, Saratoga Springs, NY, USA.

出版信息

J Cogn. 2024 Jul 22;7(1):61. doi: 10.5334/joc.389. eCollection 2024.

Abstract

Meta-analyses have become indispensable in the behavioral sciences, combining and summarizing data from multiple studies. While they offer many advantages (e.g., increased power, higher generality, and resolving conflicting findings), they currently only provide a snapshot at a given point. In active research areas, frequent meta-analytic updates are necessary to incorporate new evidence. We propose guidelines for live, dynamic meta-analyses and introduce an accessible tool using the R environment. Our app, powered by the Shiny package, enables the meta-analyst to integrate evidence interactively as an update of an existing meta-analysis or from scratch (i.e., a new meta-analysis). By embracing dynamic meta-analyses and leveraging modern tools, researchers can ensure up-to-date meta-analyses in their respective fields.

摘要

元分析在行为科学中已变得不可或缺,它能整合和汇总来自多项研究的数据。虽然元分析具有诸多优势(例如,增强统计功效、更高的普遍性以及解决相互矛盾的研究结果),但目前它们仅提供特定时间点的情况。在活跃的研究领域,频繁进行元分析更新对于纳入新证据是必要的。我们提出了实时动态元分析的指导方针,并介绍了一个使用R环境的便捷工具。我们的应用程序由Shiny包提供支持,使元分析人员能够以交互方式整合证据,既可以作为现有元分析的更新,也可以从头开始(即进行新的元分析)。通过采用动态元分析并利用现代工具,研究人员能够确保其各自领域的元分析与时俱进。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9218/11276543/ffa5f933bbd1/joc-7-1-389-g1.jpg

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