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Tests for Identifying 'Red Flags' in Empirical Findings: Demonstration and Recommendations for Authors, Reviewers, and Editors

机译:鉴定经验发现中的“危险信号”的测试:针对作者,审稿人和编辑的论证和建议

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摘要

High-profile article retractions, survey results indicating falsification of data, and evidence of mistaken findings raise concerns that problematic empirical research has found its way into the management field's literatures. To help safeguard the field against such vagaries, we describe three tests that can be applied to most empirical articles to assess the accuracy of the reported findings. Using a retracted article as an example, we also demonstrate how the tests uncover reporting anomalies. The results identify numerous irregularities which would have raised "red flags" had the tests been applied to the article while it was under review. We offer recommendations to authors, reviewers, and journal editors to help protect the trustworthiness of management research.
机译:引人注目的文章撤回,表明数据伪造的调查结果以及错误发现的证据,引起了人们的关注,即有问题的经验研究已进入管理领域的文献中。为了帮助保护该领域免受此类变化的影响,我们描述了三种可应用于大多数经验文章的测试,以评估所报告发现的准确性。以收回的文章为例,我们还演示了测试如何发现报告异常。结果确定了许多不合规的情况,如果在对本文进行审查时将测试应用于该文章,则可能会引起“危险信号”。我们向作者,审稿人和期刊编辑提供建议,以帮助保护管理研究的可信度。

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  • 来源
    《Academy of management learning & education》 |2017年第1期|110-124|共15页
  • 作者单位

    Univ Denver, Business Adm, Denver, CO 80208 USA|Univ Denver, Management, Denver, CO 80208 USA;

    Northern Illinois Univ, Dept Management, Entrepreneurship, De Kalb, IL 60115 USA;

    Univ Liverpool, Sch Management, Liverpool, Merseyside, England;

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  • 正文语种 eng
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