摘要
统计显著性检验是统计推理中普遍使用的手段。但是,长期以来,对统计显著性检验热情过度,认识上夸大其在研究中的作用,造成该手段被滥用和误用的现象相当普遍,削弱了其本身应有的有效性。在定义统计显著性检验中关于样本与总体等几对基本概念的基础上认为,基于统计显著性和无显著性进行统计推理存在认识误区、重复性谬误以及统计显著性与重要性的混同现象,应使用效应量检验、统计效力检验、置信区间估计或重复性研究等手段弥补统计显著性检验之不足。
Statistical significance testing（SST） is a commonly used way of statistical inference.Owing to its overenthusiastic adoption and an exaggerated view of its role in research,however,SST has long been abused and misused so much that its own validity has been undermined.After defining such basic pairs of concepts in SST as sample and population,this paper discusses some misconceptions of statistical inference based on statistical significance and non-significance,replication fallacy as well as confusion of statistical significance.To address the problems,it is essential to apply with effect size test,statistical power test,confidence interval estimation or repetitive research.
出处
《南京工程学院学报（社会科学版）》
2010年第4期27-32,共6页
Journal of Nanjing Institute of Technology：Social Science Edition
基金
教育部人文社会科学研究基金项目(09YJAZH044)
江苏省社会科学基金项目(09YYB010)
江苏省高校哲学社会科学研究基金项目(09SJB740009)
江苏省高校"青蓝工程"中青年学术带头人培养对象[苏教师(2010)27号]
关键词
统计显著性检验
效应量
置信区间
统计效力
statistical significance testing
effect size
confidence interval
statistical power
