Spurlock Darrell
J Nurs Educ. 2017 Nov 1;56(11):645-647. doi: 10.3928/01484834-20171020-02.
Like many other fields and subfields within the social sciences, education, and medicine, nursing education research has a long history of giving p-values associated with common statistical tests a position of primary importance in interpreting study findings. Global, transdisciplinary efforts are underway to diminish the role p-values play in making judgements about the significance of study findings by changing the threshold p-value used to pronounce statistical significance, through the use of Bayesian statistics, and through efforts to report effect sizes alongside p-values. In this month's Methodology Corner installment, the focus is on effect sizes and their role in enhancing the value and utility of nursing education research studies. [J Nurs Educ. 2017;56(11):645-647.].
与社会科学、教育和医学中的许多其他领域及子领域一样，护理教育研究长期以来一直将与常见统计检验相关的p值置于解释研究结果的首要位置。全球范围内正在开展跨学科努力，通过改变用于判定统计显著性的p值阈值、使用贝叶斯统计以及努力在报告p值的同时报告效应量，来减少p值在判断研究结果显著性方面所起的作用。在本月的《方法学角》专栏文章中，重点是效应量及其在提高护理教育研究的价值和效用方面的作用。[《护理教育杂志》2017年；56(11):645 - 647。]
