A Generalized Solution for Approximating the Power to Detect Effects of Categorical Moderator Variables Using Multiple Regression
Abstract
Investigators in numerous organization studies disciplines are concerned about the low statistical power of moderated multiple regression (MMR) to detect effects of categorical moderator variables. The authors provide a theoretical approximation to the power of MMR. The theoretical result confirms, synthesizes, and extends previous Monte Carlo research on factors that affect the power ofMMR tests of categorical moderator variables and the low power ofMMR in typical research situations. The authors develop and describe a computer program, which is available on the Internet, that allows researchers to approximate the power ofMMR to detect the effects of categorical moderator variables given user-input information (e.g., sample size, reliability of measurement). The approximation also allows investigators to determine the effects of violating certain assumptions required for MMR. Given the typically low power of MMR, researchers are encouraged to use the computer program to approximate power while planning their research design and methodology.
Publication Title
Organizational Research Methods
Recommended Citation
Aguinis, H., Boik, R., & Pierce, C. (2001). A Generalized Solution for Approximating the Power to Detect Effects of Categorical Moderator Variables Using Multiple Regression. Organizational Research Methods, 4 (4), 291-323. https://doi.org/10.1177/109442810144001
