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Metascience: Guidelines for the Practitioner
Advances in Developing Human Resources Pub Date : 2019-09-04 , DOI: 10.1177/1523422319870790
John R. Turner 1 , H. Quincy Brown 2 , David L. Passmore 3 , Kim Nimon 4 , Rose Baker 1 , Shinhee Jeong 5 , Candace Flatt 6
Affiliation  

The Problem The trend in current research is to seek a statistically significant finding, one that provides a p value less than a predetermined alpha. Unfortunately, a large number of research studies have been identified as being nonreplicable along with having other shortcomings (low power, improper methodology, poor sample size) that reduce the rigor of a study’s research findings. Additional techniques are needed beyond relying solely on a p value. The Solution This article presents recommendations that Human Resource Development (HRD) scholars and scholar-practitioners can implement to improve the rigor of the discipline’s research and practice. This article also provides guidelines (higher power, meta-analyses, low bias in large studies) of how to best avoid producing nonreplicability studies along with recommendations for the larger field, in this instance for scholars and scholar-practitioners in the social sciences. The Stakeholders Scholars, scholar-practitioners, employees, and researchers who are impacted by changes in their environment due to less-than rigorous evidence-based research findings.

中文翻译:

元科学:从业人员指南

问题目前的研究趋势是寻求具有统计学意义的发现,该发现提供的p值小于预定的alpha。不幸的是,许多研究已经被确定为不可重复的,同时还具有其他缺点(低功效,方法不正确,样本量少),这些缺点降低了研究的严格性。除了仅依赖于ap值以外,还需要其他技术。解决方案本文提出了人力资源开发(HRD)学者和学者从业人员可以实施的建议,以提高该学科的研究和实践的严格性。本文还提供了有关如何最好地避免产生不可重复性研究的指南(更高的功效,荟萃分析,低偏差),以及针对更大领域的建议,在这种情况下,是针对社会科学领域的学者和从业者。利益相关者学者,学者,从业人员,员工和研究人员,由于缺乏严格的循证研究结果而受到环境变化的影响。
更新日期:2019-09-04
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