The analysis of repeated measures designs: A review
The analysis of repeated measures designs: A review
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DOI：
10.1348/000711001159357
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发表时间：
2001-05-01
影响因子：
2.6
通讯作者：
Kowalchuk, RK
中科院分区：
文献类型：
--
作者：
Keselman, HJ;Algina, J;Kowalchuk, RK
重复测量ANOVA可以指许多不同类型的分析。具体来说，这个模糊的术语可以指传统的显著性检验、具有调整的自由度的三个单变量解决方案之一、两种不同类型的多变量统计量或结合联合收割机单变量和多变量检验的方法。因此，有人认为，通过仅报告概率值并将统计分析称为重复测量ANOVA，作者既没有传达所使用的分析类型，也没有传达所报告的概率值的有效性，因为这些方法中的每一种都有自己的优点和缺点。提出了各种方法，讨论了它们的优点和缺点，并就“最佳”分析选择提出了建议。讨论的其他主题包括缺失数据分析和线性对比检验。
Repeated measures ANOVA can refer to many different types of analysis. Specifically, this vague term can refer to conventional tests of significance, one of three univariate solutions with adjusted degrees of freedom, two different types of multivariate statistic, or approaches that combine univariate and multivariate tests. Accordingly, it is argued that, by only reporting probability values and referring to statistical analyses as repeated measures ANOVA, authors convey neither the type of analysis that was used nor the validity of the reported probability value, since each of these approaches has its own strengths and weaknesses. The various approaches are presented with a discussion of their strengths and weaknesses, and recommendations are made regarding the 'best' choice of analysis. Additional topics discussed include analyses for missing data and tests of Linear contrasts.