Bird K D
Multivariate Behav Res. 1975 Jul 1;10(3):343-XXX. doi: 10.1207/s15327906mbr1003_7.
Simultaneous test procedures associated with multivariate analysis of variance provide very little power for tests of contrasts written on individual variates or on planned linear combinations of variates. Generalizations of the Scheffe, Tukey, and Bonferroni-t techniques are presented, each of which controls the experimentwise error rate for a particular type of partially or fully planned analysis. All three procedures provide more power than MANOVA tests.
与多变量方差分析相关的同时检验程序,对于针对单个变量或变量的计划线性组合所写的对比检验,功效非常低。本文提出了谢费法、图基法和邦费罗尼 t 检验法的推广方法,每种方法都针对特定类型的部分或完全计划分析控制实验误差率。这三种方法都比多变量方差分析检验具有更高的功效。