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.

Keywords

StatisticsBivariate analysisLinear regressionLogistic regressionRegression analysisRegression diagnosticProper linear modelPoisson regressionSegmented regressionRegressionStatistical powerMathematicsEconometricsPolynomial regression

MeSH Terms

AlgorithmsData InterpretationStatisticalLinear ModelsRegression AnalysisSoftware

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Publication Info

Year
2009
Type
article
Volume
41
Issue
4
Pages
1149-1160
Citations
32634
Access
Closed

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Cite This

Franz Faul, Edgar Erdfelder, Axel Buchner et al. (2009). Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behavior Research Methods , 41 (4) , 1149-1160. https://doi.org/10.3758/brm.41.4.1149

Identifiers

DOI
10.3758/brm.41.4.1149
PMID
19897823

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Data completeness: 86%