Power analysis for multivariate and repeated measures designs: A flexible approach using the SPSS MANOVA procedure

被引:84
作者
D'Amico, EJ
Neilands, TB
Zambarano, R
机构
[1] Univ Calif San Diego, La Jolla, CA 92093 USA
[2] Univ Texas, Austin, TX 78712 USA
[3] PPD Informat, Austin, TX USA
来源
BEHAVIOR RESEARCH METHODS INSTRUMENTS & COMPUTERS | 2001年 / 33卷 / 04期
关键词
D O I
10.3758/BF03195405
中图分类号
B841 [心理学研究方法];
学科分类号
040201 ;
摘要
Although power analysis is an important component in the planning and implementation of research designs, it is often ignored. Computer programs for performing power analysis are available, but most have limitations, particularly for complex multivariate designs. An SPSS procedure is presented that can be used for calculating power for univariate, multivariate, and repeated measures models with and without time-varying and time-constant covariates. Three examples provide a framework for calculating power via this method: an ANCOVA, a MANOVA, and a repeated measures ANOVA with two or more groups. The benefits and limitations of this procedure are discussed.
引用
收藏
页码:479 / 484
页数:6
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