, Volume 41, Issue 4, pp 1149-1160

Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses

Abstract

G*Power is a free power analysis program for a variety of statistical tests. We present extensions and improvements of the version introduced by Faul, Erdfelder, Lang, and Buchner (2007) in the domain of correlation and regression analyses. In the new version, we have added procedures to analyze the power of tests based on (1) single-sample tetrachoric correlations, (2) comparisons of dependent correlations, (3) bivariate linear regression, (4) multiple linear regression based on the random predictor model, (5) logistic regression, and (6) Poisson regression. We describe these new features and provide a brief introduction to their scope and handling.

Manuscript preparation was supported by Grant SFB 504 (Project A12) from the Deutsche Forschungsgemeinschaft. We thank two anonymous reviewers for valuable comments on a previous version of the manuscript.
Note—This article is based on information presented at the 2008 meeting of the Society for Computers in Psychology, Chicago.