Repeated-measures designs: Univariate or multivariate analysis of variance?

被引：0

作者：

Hassmen, P

机构：

来源：

PERCEPTUAL AND MOTOR SKILLS | 1997年 / 85卷 / 01期

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D O I：

暂无

中图分类号：

B84 [心理学];

学科分类号：

04 ; 0402 ;

摘要：

Violation of the sphericity assumption in repeated-measures analysis of variance can lead to positively biased tests, i.e., the likelihood of a Type I error exceeds the alpha level set by the user. Two widely applicable solutions exist, the use of an epsilon-corrected univariate analysis of Variance or the use of a multivariate anaIysis of variance. It is argued that the latter method offers advantages over the former.

引用

页码：193 / 194

页数：2

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