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

Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Behavior Research Methods Springer Journals

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

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References (41)

Publisher
Springer Journals
Copyright
Copyright © 2009 by Psychonomic Society, Inc.
Subject
Psychology; Cognitive Psychology
eISSN
1554-3528
DOI
10.3758/BRM.41.4.1149
pmid
19897823
Publisher site
See Article on Publisher Site

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.

Journal

Behavior Research MethodsSpringer Journals

Published: Dec 13, 2010

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