Power and bias in industrial relations research

IF 1.3 2区 管理学 Q3 INDUSTRIAL RELATIONS & LABOR British Journal of Industrial Relations Pub Date : 2023-04-25 DOI:10.1111/bjir.12746
Anthony Doucouliagos, Hristos Doucouliagos, T. D. Stanley
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Abstract

We survey 20,439 estimates from 64 distinct research areas to assess power, bias and statistical significance in industrial relations research. The average estimate published in industrial relations research lacks adequate power; average power is 33 per cent, and median power is only 14 per cent, much lower than the conventional 80 per cent standard. Low power means that industrial relations researchers will find it more difficult to detect important associations pertaining to workplace relations. Low power also leads to exaggerated research findings. We find substantial publication bias in industrial relations research, though nearly half of the research areas have little or no bias.

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产业关系研究中的权力与偏见
我们调查了来自 64 个不同研究领域的 20,439 个估算值,以评估劳资关系研究中的权 威性、偏差和统计意义。劳资关系研究中发布的平均估计值缺乏足够的力量;平均力量为 33%,中位力量仅为 14%,远低于传统的 80% 标准。低功率意味着劳资关系研究人员更难发现与工作场所关系有关的重要关联。低功率还会导致研究结果被夸大。我们发现劳资关系研究中存在大量的出版偏差,尽管近一半的研究领域几乎没有偏差。
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来源期刊
British Journal of Industrial Relations
British Journal of Industrial Relations INDUSTRIAL RELATIONS & LABOR-
CiteScore
4.20
自引率
11.50%
发文量
58
期刊介绍: BJIR (British Journal of Industrial Relations) is an influential and authoritative journal which is essential reading for all academics and practitioners interested in work and employment relations. It is the highest ranked European journal in the Industrial Relations & Labour category of the Social Sciences Citation Index. BJIR aims to present the latest research on developments on employment and work from across the globe that appeal to an international readership. Contributions are drawn from all of the main social science disciplines, deal with a broad range of employment topics and express a range of viewpoints.
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