组织研究中回顾元分析的建议

IF 8.9 2区 管理学 Q1 MANAGEMENT Organizational Research Methods Pub Date : 2021-10-01 DOI:10.1177/1094428120967089
J. DeSimone, M. Brannick, Ernest H. O’Boyle, J. Ryu
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引用次数: 18

摘要

本文鼓励meta分析过程报告透明化。具体来说,我们强调了元分析搜索、编码、数据表示和数据分析的各个方面,在这些方面,已发表的元分析通常在提供足够的信息以允许复制方面存在不足。我们确定审稿人可以要求额外信息或分析的机会,这将提高报告实践的透明度,并促进对元分析报告质量的评估。我们关注组织研究中进行的元分析的具体问题(或普遍问题)。在此过程中,我们参考了一些现有的和新兴的技术,强调了它们对元分析的贡献,同时强调了审稿人可能需要的关键信息。我们主要关注元分析,但也考虑了元分析数据的二次使用。最后,我们为评审人员提供了一个检查表,以促进评审过程,因为它与透明度和可复制性的目标有关。
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Recommendations for Reviewing Meta-Analyses in Organizational Research
This article encourages transparency in the reporting of meta-analytic procedures. Specifically, we highlight aspects of meta-analytic search, coding, data presentation, and data analysis where published meta-analyses often fall short in presenting sufficient information to allow replication. We identify opportunities where reviewers can request additional information or analyses that will enhance transparent reporting practices and facilitate the evaluation of quality in meta-analytic reporting. We focus on concerns specific to (or prevalent in) meta-analyses conducted in organizational research. In doing so, we reference a number of existing and emerging techniques, highlighting their contribution to meta-analysis while emphasizing key information reviewers may request. Our focus is primarily on meta-analyses, but secondary uses of meta-analytic data are also considered. We conclude by providing a checklist for reviewers in an effort to facilitate the review process as it pertains to the goals of transparency and replicability.
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来源期刊
CiteScore
23.20
自引率
3.20%
发文量
17
期刊介绍: Organizational Research Methods (ORM) was founded with the aim of introducing pertinent methodological advancements to researchers in organizational sciences. The objective of ORM is to promote the application of current and emerging methodologies to advance both theory and research practices. Articles are expected to be comprehensible to readers with a background consistent with the methodological and statistical training provided in contemporary organizational sciences doctoral programs. The text should be presented in a manner that facilitates accessibility. For instance, highly technical content should be placed in appendices, and authors are encouraged to include example data and computer code when relevant. Additionally, authors should explicitly outline how their contribution has the potential to advance organizational theory and research practice.
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