Power analyses for detecting effects for multiple coefficients in regression
Christopher L. Aberson
Department of Psychology
Humboldt State University
Arcata, CA
[email protected]
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Abstract. I present applications of Stata to conduct power analysis for multiple
regression. Simple power analyses are provided through the Stata command power
and the user-written command powerreg. However, tools for power analysis for
multiple regression coefficients are limited. I present strategies for detecting significant
regression coefficients in a single study (for example, power estimates for
two or more coefficients). I also address the power for detecting multiple effects
(that is, the probability that all coefficients are statistically significant) in the same
sample through the Monte Carlo approaches afforded by the simulate command.
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Christopher L. Aberson
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powermr3, powersim3, powersim3_simulator, statistical power, corr2data, simulate, Monte Carlo
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