Effect size and power in assessing moderating effects of categorical variables using multiple regression: A 30-year review

被引:797
作者
Aguinis, H
Beaty, JC
Boik, RJ
Pierce, CA
机构
[1] Univ Colorado, Sch Business, Denver, CO 80217 USA
[2] ePredix, Minneapolis, MN USA
[3] Montana State Univ, Dept Math Sci, Bozeman, MT 59717 USA
[4] Montana State Univ, Dept Psychol, Bozeman, MT 59717 USA
关键词
D O I
10.1037/0021-9010.90.1.94
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
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.
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页码:94 / 107
页数:14
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