文章基本信息

标题：Multivariate Contrasts For Repeated Measures Designs Under Assumption Violations
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作者：Lix, Lisa M. ; Hinds, Aynslie M.
期刊名称：Journal of Modern Applied Statistical Methods
出版年度：2004
卷号：3
期号：2
页码：7
出版社：Wayne State University
摘要：Conventional and approximate degrees of freedom procedures for testing multivariate interaction contrasts in groups by trials repeated measures designs were compared under assumption violation conditions. Procedures were based on either least-squares or robust estimators. Power generally favored test procedures based on robust estimators for non-normal distributions, but was influenced by the degree of departure from non-normality, definition of power, and magnitude of the multivariate effect size.
关键词：à priori contrasts; robust estimators; covariance heterogeneity