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A Call for Open Science in Giftedness Research
Gifted Child Quarterly ( IF 3.0 ) Pub Date : 2018-07-04 , DOI: 10.1177/0016986218784178
Matthew T. McBee 1 , Matthew C. Makel 2 , Scott J. Peters 3 , Michael S. Matthews 4
Affiliation  

Current practices in study design and data analysis have led to low reproducibility and replicability of findings in fields such as psychology, medicine, biology, and economics. Because gifted education research relies on the same underlying statistical and sociological paradigms, it is likely that it too suffers from these problems. This article discusses the origin of the poor replicability and introduces a set of open science practices that can increase the rigor and trustworthiness of gifted education’s scientific findings: preregistration, open data and open materials, registered reports, and preprints. Readers are directed to Internet resources for facilitating open science. To model these practices, a pre peer-review preprint of this article is available at https://psyarxiv.com/nhuv3/.

中文翻译:

呼吁天才研究中的开放科学

当前在研究设计和数据分析方面的做法导致心理学、医学、生物学和经济学等领域的研究结果的可重复性和可重复性较低。因为天才教育研究依赖于相同的基本统计和社会学范式,所以它很可能也受到这些问题的困扰。本文讨论了可复制性差的根源,并介绍了一套可以提高天才教育科学发现的严谨性和可信度的开放科学实践:预注册、开放数据和开放材料、注册报告和预印本。读者可以访问 Internet 资源以促进开放科学。为了模拟这些实践,本文的同行评审预印本可在 https://psyarxiv.com/nhuv3/ 获得。
更新日期:2018-07-04
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