Testing treatment effects in repeated measures designs: An update for psychophysiological researchers
Testing treatment effects in repeated measures designs: An update for psychophysiological researchers
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DOI：
10.1111/1469-8986.3540470
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发表时间：
1998-07-01
期刊：
影响因子：
3.7
通讯作者：
Keselman, HJ
中科院分区：
文献类型：
--
作者：
Keselman, HJ
1987 年，詹宁斯列举了作者在向心理生理学提交论文时必须遵循的数据分析程序，以分析重复测量设计的效果。这些规定的目的是抵消非球面数据的影响，这种情况会产生有偏差的显着性检验。自从制定这一编辑政策以来，对这些设计的分析的额外改进已经出现在许多心理生理学研究人员不太可能常规阅读的来源中。因此，本文包括之前在编辑政策中未列举的其他程序，可用于分析已废除的测量结果。此外，我指出可以轻松获得小时数值解。
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this paper includes additional procedures not previously enumerated in the editorial policy that can be used to analyze repealed measurements. Furthermore, I indicate hour numerical solutions can easily be obtained.