Pairwise multiple comparisons: New yardstick, new results

被引:13
作者
Cribbie, RA [1 ]
机构
[1] York Univ, Dept Psychol, Toronto, ON M3J 1P3, Canada
关键词
false discovery rate; model testing; multiple comparison procedures; true model rate;
D O I
10.1080/00220970309602065
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Behavioral science researchers often wish to compare the means of several treatment conditions on a specific dependent measure. The author used a Monte Carlo study to compare familywise error controlling multiple comparison procedures (MCPs; e.g., Tukey, Bonferroni) with MCPs that were not developed to control the familywise error rate on the probability of correctly identifying the true underlying population mean configuration (true model rate). Recently proposed MCPs that are not intended to control the familywise error rate had consistently larger true model rates than did familywise error controlling MCPs. Furthermore, of the familywise error controlling MCPs investigated, the popular Tukey and Bonferroni MCPs had consistently lower true model rates than did other familywise error controlling MCPs.
引用
收藏
页码:251 / 265
页数:15
相关论文
共 31 条