Pairwise multiple comparison test procedures: An update for clinical child and adolescent psychologists
Pairwise multiple comparison test procedures: An update for clinical child and adolescent psychologists
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DOI：
10.1207/s15374424jccp3303_19
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发表时间：
2004-09-01
影响因子：
4.2
通讯作者：
Holland, B
中科院分区：
文献类型：
--
作者：
Keselman, HJ;Cribbie, RA;Holland, B
找出治疗组之间的配对差异是应用研究人员的常见做法。本期刊发表的文章在方差分析(ANOVA)框架内讨论了统计推断问题，除其他问题外，描述了比较均值的程序。特别是，第一篇文章(Jaccard&Guilamo-Ramos，2002b)提出了一些进行均值对比的新方法，而另一篇文章则提出了在相同背景下获得稳健检验的框架(Jaccard&Guilamo-Ramos，2002a)。本文的目的是通过提出一些较新的方法对均值进行成对比较，即通过扩展第一条的贡献并将第二条的框架应用于成对多重比较，来增加这些贡献。较新的方法旨在提供额外的敏感性来检测处理组的差异，并提供对方差异质性、非正态或两者都有影响的测试。
Locating pairwise differences among treatment groups is a common practice of applied researchers. Articles published in this journal have addressed the issue of statistical inference within the context of an analysis of variance (ANOVA) framework, describing procedures for comparing means, among other issues. In particular, I article (Jaccard & Guilamo-Ramos, 2002b) presented some new methods of performing contrasts of means whereas another presented a framework for obtaining robust tests within this same context (Jaccard & Guilamo-Ramos, 2002a). The purpose of this article is to add to these contributions by presenting some newer methods for conducting pairwise comparisons of means, that is by extending the contributions of the first article and applying the framework of the second article to pairwise multiple comparisons. The newer methods are intended to provide additional sensitivity to detect treatment group differences and provide tests that are robust to the effects of variance heterogeneity, nonnormality or both.