Methodological artifacts in moderated multiple regression and their effects on statistical power
成果类型：
Article; Proceedings Paper
署名作者：
Aguinis, H; StoneRomero, EF
署名单位：
State University of New York (SUNY) System; University at Albany, SUNY
刊物名称：
JOURNAL OF APPLIED PSYCHOLOGY
ISSN/ISSBN：
0021-9010
DOI：
10.1037/0021-9010.82.1.192
发表日期：
1997
页码：
192-206
关键词：
摘要：
Monte Carlo simulations were conducted to examine the degree to which the statistical power of moderated multiple regression (MMR) to detect the effects of a dichotomous moderator variable was affected by the main and interactive effects of (a) predictor variable range restriction, (b) total sample size, (c) sample sizes for 2 moderator variable-based subgroups, (d) predictor variable intercorrelation, and (e) magnitude of the moderating effect. Results showed that the main and interactive influences of these variables may have profound effects on power. Thus, future attempts to detect moderating effects with MMR should consider the power implications of both the main and interactive effects of the variables assessed in the present study. Otherwise, even moderating effects of substantial magnitude may go undetected.
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