Improving norms in research culture to incentivize transparency and rigor

Improving norms in research culture to incentivize transparency and rigor
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改善研究文化规范以激励透明度和严谨性

DOI:
10.1080/00461520.2021.1902329
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发表时间:
2021
影响因子:
8.8
通讯作者:
Mellor, David
Mellor, David
中科院分区:
心理学1区
文献类型:
--
作者:
Mellor, David

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改善研究文化,重视透明度和严谨性,是进行富有成效的“可信度革命”的必要条件。教育心理学领域已经做好了实现这一目标的准备。它将采取具体行动,由基层团体和领导层制定标准,确保出版、资助或雇用是由普遍支持的理想决定的。这些改进后的标准必须确保透明度、严谨性和可信度高于新奇性、影响力和可验证性。基层团体倡导变革并分享经验,以便下一代研究人员拥有维持这些早期举措所需的经验。每个社区都可以从其他已经转向更好实践的社区中获得灵感。这些实例为效仿开拓者提供了机会,为预先登记等新做法提供了培训,并以提高所有参与者声誉的方式对做法进行了建设性的评价或批评。
Improving research culture to value transparency and rigor is necessary to engage in a productive “Credibility Revolution.” The field of educational psychology is well positioned to act toward this goal. It will take specific actions by both grassroots groups plus leadership to set standards that will ensure that getting published, funded, or hired is determined by universally supported ideals. These improved standards must ensure that transparency, rigor, and credibility are valued above novelty, impact, and incredibility. Grassroots groups advocate for change and share experience so that the next generation of researchers have the experience needed to sustain these early moves. Each community can take inspiration from others that have made shifts toward better practices. These instances provide opportunities for emulating trail-blazers, training for new practices such as preregistration, and constructively evaluating or criticizing practice in ways that advances the reputation of all involved.
石井,N.;A.W.M.辛普森;C.C.阿什利:科学。
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通讯作者: --
DOI: --
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统计显着性、审稿人评估和科学过程:是否存在(统计上)显着的关系?
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影响因子: --
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Donald R. Atkinson;M. Furlong;B. Wampold
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