Effect size and power in assessing moderating effects of categorical variables using multiple regression: A 30-year review
成果类型：
Article; Proceedings Paper
署名作者：
Aguinis, H; Beaty, JC; Boik, RJ; Pierce, CA
署名单位：
University of Colorado System; University of Colorado Denver; Montana State University System; Montana State University Bozeman; Montana State University System; Montana State University Bozeman
刊物名称：
JOURNAL OF APPLIED PSYCHOLOGY
ISSN/ISSBN：
0021-9010
DOI：
10.1037/0021-9010.90.1.94
发表日期：
2005
页码：
94-107
关键词：
摘要：
The authors conducted a 30-year review (1969-1998) of the size of moderating effects of categorical variables as assessed using multiple regression. The median observed effect size (f(2)) is only .002, but 72% of the moderator tests reviewed had power of .80 or greater to detect a targeted effect conventionally defined as small. Results suggest the need to minimize the influence of artifacts that produce a downward bias in the observed effect size and put into question the use of conventional definitions of moderating effect sizes. As long as an effect has a meaningful impact, the authors advise researchers to conduct a power analysis and plan future research designs on the basis of smaller and more realistic targeted effect sizes.
来源URL：