The Continued Prevalence of Dichotomous Inferences at CHI
The Continued Prevalence of Dichotomous Inferences at CHI
复制标题
CHI 中二分推理的持续盛行
DOI：
10.1145/3290607.3310432
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Pierre Dragicevic
中科院分区：
文献类型：
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作者：
Lonni Besançon;Pierre Dragicevic
二分推理是将统计证据分类为充分或不充分。最常见的是通过零假设显着性检验 (NHST) 来完成。尽管二分推论占主导地位，但已被证明会导致无数问题。因此，越来越多的方法学家一直敦促研究人员认识到统计证据的连续性并禁止二分推论。我们想看看他们是否对 CHI 有影响。我们对过去九年 CHI 诉讼程序的分析表明，事实并非如此。
Dichotomous inference is the classification of statistical evidence as either sufficient or insufficient. It is most commonly done through null hypothesis significance testing (NHST). Although predominant, dichotomous inferences have proven to cause countless problems. Thus, an increasing number of methodologists have been urging researchers to recognize the continuous nature of statistical evidence and to ban dichotomous inferences. We wanted to see whether they have had any influence on CHI. Our analysis of CHI proceedings from the past nine years suggests that they have not.
DOI：
10.1002/asi.21389
发表时间：
2010
期刊：
J. Assoc. Inf. Sci. Technol.
影响因子：
--
作者：
J. Warner
通讯作者：
J. Warner