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重复测量方差分析的正确使用。

Correct use of repeated measures analysis of variance.

作者信息

Park Eunsik, Cho Meehye, Ki Chang-Seok

机构信息

Department of Statistics, College of Natural Sciences, Chonnam National University, Gwangju, Korea.

出版信息

Korean J Lab Med. 2009 Feb;29(1):1-9. doi: 10.3343/kjlm.2009.29.1.1.

Abstract

In biomedical research, researchers frequently use statistical procedures such as the t-test, standard analysis of variance (ANOVA), or the repeated measures ANOVA to compare means between the groups of interest. There are frequently some misuses in applying these procedures since the conditions of the experiments or statistical assumptions necessary to apply these procedures are not fully taken into consideration. In this paper, we demonstrate the correct use of repeated measures ANOVA to prevent or minimize ethical or scientific problems due to its misuse. We also describe the appropriate use of multiple comparison tests for follow-up analysis in repeated measures ANOVA. Finally, we demonstrate the use of repeated measures ANOVA by using real data and the statistical software package SPSS (SPSS Inc., USA).

摘要

在生物医学研究中,研究人员经常使用t检验、标准方差分析(ANOVA)或重复测量方差分析等统计程序来比较感兴趣的组之间的均值。由于没有充分考虑应用这些程序所需的实验条件或统计假设,在应用这些程序时经常会出现一些误用情况。在本文中,我们展示了重复测量方差分析的正确用法,以防止或尽量减少因误用而导致的伦理或科学问题。我们还描述了在重复测量方差分析中进行后续分析时多重比较检验的适当用法。最后,我们通过实际数据和统计软件包SPSS(美国SPSS公司)展示了重复测量方差分析的用法。

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