THE CONTINUING PROBLEM OF FALSE POSITIVES IN REPEATED MEASURES ANOVA IN PSYCHOPHYSIOLOGY - A MULTIVARIATE SOLUTION
THE CONTINUING PROBLEM OF FALSE POSITIVES IN REPEATED MEASURES ANOVA IN PSYCHOPHYSIOLOGY - A MULTIVARIATE SOLUTION
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DOI：
10.1111/j.1469-8986.1987.tb00324.x
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发表时间：
1987-07-01
期刊：
影响因子：
3.7
通讯作者：
THAYER, JF
中科院分区：
文献类型：
--
作者：
VASEY, MW;THAYER, JF
违反重复测量方差分析的有效性假设仍然是心理生理学中的一个问题。这种违背导致涉及重复测量因子的检验出现正偏倚。最近的研究表明，简单交互作用和多重比较的检验更容易受到偏倚的影响（Boik，1981; Mitzel and Games，1981）。本文提供了一个讨论的有效性假设的整体和子效应测试，并描述了一个多变量的方法，可以精确分析这样的设计。还描述了单变量方法的修改。这两种方法的有效性问题比传统方法的问题要少得多。
Violation of the validity assumptions of repeated measures analysis of variance continues to be a problem in psychophysiology. Such violation results in positive bias for those tests involving the repeated measures factor(s). Recently it has been shown that the tests of simple interactions and multiple comparisons are even more vulnerable to bias (Boik, 1981; Mitzel and Games, 1981). The present paper offers a discussion of the validity assumptions for both overall and sub-effect tests and describes a multivariate approach which allows exact analysis of such designs. A modification of the univariate approach is also described. Validity concerns for both approaches are much less problematic than those of the traditional approach.