Application of a New Procedure for Power Analysis and Comparison of the Adjusted Univariate and Multivariate Tests in Repeated Measures Designs

被引：0

作者：

Mulvenon, Sean W. ^{[1
]}

Betz, M. Austin ^{[2
]}

Wang, Kening

Zumbo, Bruno ^{[3
]}

机构：

[1] Univ Arkansas, Educ Stat, Billingsley Chair Educ Res & Policy Studies, Fayetteville, AR 72701 USA

[2] Arizona State Univ, Tempe, AZ 85287 USA

[3] Univ British Columbia, Educ Stat, Vancouver, BC, Canada

来源：

JOURNAL OF MODERN APPLIED STATISTICAL METHODS | 2007年 / 6卷 / 01期

关键词：

Repeated measures designs; adjusted degrees of freedom test; noncentrality parameter; sphericity;

D O I：

10.22237/jmasm/1177992300

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

A relationship between the multivariate and univariate noncentrality parameters in repeated measures designs was developed for the purpose of assessing the relative power of the univariate and multivariate approaches. An application is provided examining the use of repeated measures designs to evaluate student achievement in a K-12 school system.

引用

页码：36 / 52

页数：17

共 43 条

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