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重复测量设计中的治疗效果测试:给心理生理学研究者的更新内容

Testing treatment effects in repeated measures designs: an update for psychophysiological researchers.

作者信息

Keselman H J

机构信息

Department of Psychology, University of Manitoba, Winnipeg, Canada.

出版信息

Psychophysiology. 1998 Jul;35(4):470-8.

PMID:9643062
Abstract

In 1987, Jennings enumerated data analysis procedures that authors must follow for analyzing effects in repeated measures designs when submitting papers to Psychophysiology. These prescriptions were intended to counteract the effects of nonspherical data, a condition know to produce biased tests of significance. Since this editorial policy was established, additional refinements to the analysis of these designs have appeared in print in a number of sources that are not likely to be routinely read by psychophysiological researchers. Accordingly, this paper includes additional procedures not previously enumerated in the editorial policy that can be used to analyze repeated measurements. Furthermore, I indicate how numerical solutions can easily be obtained.

摘要

1987年,詹宁斯列举了作者在向《心理生理学》投稿时,分析重复测量设计中的效应时必须遵循的数据分析程序。这些规定旨在抵消非球形数据的影响,这种情况已知会产生有偏差的显著性检验。自从制定了这一编辑政策以来,对这些设计分析的进一步改进已在许多来源的印刷品中出现,而心理生理学研究人员不太可能经常阅读这些来源。因此,本文包括了编辑政策中以前未列举的可用于分析重复测量的额外程序。此外,我还指出了如何轻松获得数值解。

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