Methodological artifacts in moderated multiple regression and their effects on statistical power.

Herman Aguinis, Eugene F. Stone‐Romero·1997·Journal of Applied Psychology
DOI 10.1037//0021-9010.82.1.192

Abstract

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 variablebased 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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CoChat. (2026). Citation check: Methodological artifacts in moderated multiple regression and their effects on statistical power. https://app.cochat.ai/papers/10.1037//0021-9010.82.1.192
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Aguinis, H., & Stone‐Romero, E. F. (1997). Methodological artifacts in moderated multiple regression and their effects on statistical power. Journal of Applied Psychology. https://doi.org/10.1037//0021-9010.82.1.192

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