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首页> 外文期刊>Journal of informetrics >Gender differences in peer reviews of grant applications: A substantive-methodological synergy in support of the null hypothesis model
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Gender differences in peer reviews of grant applications: A substantive-methodological synergy in support of the null hypothesis model

机译:赠款申请同行评审中的性别差异:支持原假设模型的实质方法协同作用

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Peer review serves a gatekeeper role, the final arbiter of what is valued in academia, but is widely criticized in terms of potential biases-particularly in relation to gender. In this substantive-methodological synergy, we demonstrate methodological and multilevel statistical approaches to testing a null hypothesis model in relation to the effect of researcher gender on peer reviews of grant proposals, based on 10,023 reviews by 6233 external assessors of 2331 proposals from social science, humanities, and science disciplines. Utilizing multilevel cross-classified models, we show that support for the null hypothesis model positing researcher gender has no significant effect on proposal outcomes. Furthermore, these non-effects of gender generalize over assessor gender (contrary to a matching hypothesis), discipline, assessors chosen by the researchers themselves compared to those chosen by the funding agency, and country of the assessor. Given the large, diverse sample, the powerful statistical analyses, and support for generalizability, these results - coupled with findings from previous research - offer strong support for the null hypothesis model of no gender differences in peer reviews of grant proposals.
机译:同行评议是看门人的角色,是学术界所重视的最终仲裁者,但在潜在偏见方面,尤其是在性别方面,受到广泛批评。在这种实质性方法协同作用中,我们基于社会科学2331项计划的6233名外部评估者对1023项评估进行了10,023项评估,展示了方法和多层次统计方法来检验与研究人员性别对拨款建议的同行评审有关的无效假设模型。人文科学学科。利用多层次交叉分类模型,我们表明支持假设假设研究人员性别的原假设模型对提案结果没有显着影响。此外,性别的这些非影响普遍存在于评估者性别(与匹配假设相反),纪律,研究者自己选择的评估者与资助机构选择的评估者以及评估者所在的国家之间。鉴于样本量巨大,种类繁多,功能强大的统计分析以及对通用性的支持,这些结果以及以前的研究结果为有资助提案的同行评审中没有性别差异的零假设模型提供了有力的支持。

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