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  • 标题:Bias Affiliated With Two Variants Of Cohen’s d When Determining U1 As A Measure Of The Percent Of Non-Overlap
  • 本地全文:下载
  • 作者:Walker, David A.
  • 期刊名称:Journal of Modern Applied Statistical Methods
  • 出版年度:2005
  • 卷号:4
  • 期号:1
  • 页码:11
  • 出版社:Wayne State University
  • 摘要:Variants of Cohen’s d, in this instance dt and dadj, has the largest influence on U1 measures used with smaller sample sizes, specifically when n1 and n2 = 10. This study indicated that bias for variants of d, which influence U1 measures, tends to subside and become more manageable, in terms of precision of estimation, around 1% to 2% when n1 and n2 = 20. Thus, depending on the direction of the influence, both dt and dadj are likely to manage bias in the U1 measure quite well for smaller to moderate sample sizes.
  • 关键词:Non-overlap; effect size; Cohen’s d
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