Spurlock Darrell
J Nurs Educ. 2017 Aug 1;56(8):453-455. doi: 10.3928/01484834-20170712-02.
During the past decade, substantial concern has developed among scholars from a variety of disciplines about the common use and interpretation of p-values, used to indicate the statistical significance of inferential statistical analyses reported in quantitative studies. These debates have highlighted a widespread misunderstanding of p-values and the more limited role they should take in informing study conclusions and policy decisions. In this month's "Methodology Corner," I provide an overview of this debate, describe the limitations of statistical significance testing, and suggest that the nursing education research enterprise would benefit from following a more Nightingalean approach to statistical analysis, where the practical importance-the meaningfulness-of study findings is emphasized. [J Nurs Educ. 2017;56(8):453-455.].
在过去十年中，来自各个学科的学者对p值的普遍使用和解释产生了极大关注，p值用于表明定量研究中所报告的推断性统计分析的统计显著性。这些争论凸显了对p值的广泛误解以及它们在为研究结论和政策决策提供信息时应发挥的较为有限的作用。在本月的“方法学角”中，我将概述这场争论，描述统计显著性检验的局限性，并建议护理教育研究领域采用更具南丁格尔风格的统计分析方法会从中受益，这种方法强调研究结果的实际重要性——即意义。[《护理教育杂志》。2017年；56(8):453 - 455。]
