Methodological artifacts in moderated multiple regression and their effects on statistical power
Methodological artifacts in moderated multiple regression and their effects on statistical power
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DOI：
10.1037/0021-9010.82.1.192
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发表时间：
1997-02-01
影响因子：
9.9
通讯作者：
StoneRomero, EF
中科院分区：
文献类型：
--
作者：
Aguinis, H;StoneRomero, EF
蒙特卡罗模拟被用来检验缓和多元回归(MMR)检测二分调节变量效应的统计能力受(A)预测变量范围限制、(B)总样本量、(C)两个基于调节变量的亚组的样本大小、(D)预测变量相互关联和(E)调节效应大小的主要和交互影响的程度的影响。结果表明，这些变量的主要影响和交互影响可能对权力产生深远的影响。因此，未来用MMR检测调节效应的尝试应该考虑本研究中评估的变量的主要和交互影响的力量影响。否则，即使是相当大的缓和效应也可能无法察觉。
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.