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G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences

Behavior Research Methods volume 39, pages 175–191 (2007)Cite this article

Abstract

G*Power (Erdfelder, Faul, & Buchner, 1996) was designed as a general stand-alone power analysis program for statistical tests commonly used in social and behavioral research. G*Power 3 is a major extension of, and improvement over, the previous versions. It runs on widely used computer platforms (i.e., Windows XP, Windows Vista, and Mac OS X 10.4) and covers many different statistical tests of thet, F, and χ2 test families. In addition, it includes power analyses forz tests and some exact tests. G*Power 3 provides improved effect size calculators and graphic options, supports both distribution-based and design-based input modes, and offers all types of power analyses in which users might be interested. Like its predecessors, G*Power 3 is free.

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Authors and Affiliations

  1. Institut für Psychologie, Christian-Albrechts-Universität, Olshausenstr. 40, D-24098, Kiel, Germany

    Franz Faul

  2. Lehrstuhl für Psychologie III, Universität Mannheim, Schloss Ehrenhof Ost 255, D-68131, Mannheim, Germany

    Edgar Erdfelder

  3. Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany

    Albert-Georg Lang & Axel Buchner

Authors
  1. Franz Faul
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  2. Edgar Erdfelder
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  3. Albert-Georg Lang
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  4. Axel Buchner
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Corresponding authors

Correspondence to Franz Faul or Edgar Erdfelder.

Additional information

Manuscript preparation was supported by Grant SFB 504 (Project A12) from the Deutsche Forschungsgemeinschaft and a grant from the state of Baden-Württemberg, Germany (Landesforschungsprogramm „Evidenzbasierte Stressprävention”).

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Faul, F., Erdfelder, E., Lang, AG. et al. G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods 39, 175–191 (2007). https://doi.org/10.3758/BF03193146

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  • DOI: https://doi.org/10.3758/BF03193146

Keywords

  • Power Analysis
  • Negative Priming
  • Implicit Association Test
  • Main Window
  • Noncentrality Parameter