文章基本信息

标题：Detecting assumption violations in mixed-model analysis of variance
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作者：Flavia Chiarotti
期刊名称：Annali dell'Istituto Superiore di Sanita
印刷版ISSN：0021-2571
出版年度：2004
卷号：40
期号：02
页码：165-171
出版社：Editrice Kurtis Srl
摘要：Parametric analysis of variance (ANOVA) is frequently used to analyse experimental data, yet for the results to be considered as accurate, certain assumptions must be respected: the normality of the distribution of the sampled data, the homogeneity of variance among the groups being compared (i.e., homoscedasticity), and, in certain cases, sphericity. The present work focuses on the methods for detecting violations of these assumptions and provides an example of the application of these methods.
关键词：normality, homoscedasticity, sphericity, analysis of variance, mixed-model.