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G*Power specifications


Unique identifier OMICS_15899
Name G*Power
Software type Package/Module
Interface Graphical user interface
Restrictions to use None
Operating system Mac OS, Windows
Computer skills Medium
Stability Stable
Maintained Yes
Wikipedia https://en.wikipedia.org/wiki/G*Power




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  • person_outline Franz Faul

Publications for G*Power

G*Power citations


Disgust and the rubber hand illusion: a registered replication report of Jalal, Krishnakumar, and Ramachandran (2015)

PMCID: 5954052
PMID: 29780877
DOI: 10.1186/s41235-018-0101-z

[…] h subsequent replications, a phenomenon termed the “Winner’s Curse” (Button et al., ). Therefore, we applied a required power level of 0.95 and 30% of the effect size, with Cohen’s dz. = 0.594. Using G*Power 3.1 power analysis software (Faul, Erdfelder, Buchner, & Lang, ), we computed the required sample size for the disgustingness condition as a function of effect size dz. = 0.594, the required s […]


Long term impacts of prenatal synthetic glucocorticoids exposure on functional brain correlates of cognitive monitoring in adolescence

Sci Rep
PMCID: 5955898
PMID: 29769646
DOI: 10.1038/s41598-018-26067-3
call_split See protocol

[…] re they hospitalized or given the sGC therapy. To assure that our sample size has sufficient power to detect the group and group × condition interaction effects, we conducted power calculations using G*Power (Version based on effect sizes estimated from the prior developmental study, which showed medium effect sizes for the effects of prenatal sGC exposure on stress reactivity and the ass […]


Diffusion markers of dendritic density and arborization in gray matter predict differences in intelligence

Nat Commun
PMCID: 5954098
PMID: 29765024
DOI: 10.1038/s41467-018-04268-8

[…] was not possible to estimate the necessary sample size a priori based on existing literature. Instead, we collected data from a reasonably large sample and computed the achieved power post hoc using G*Power. The analysis was based on the multiple regression model reported for sample S259 (Table ) (f2 = 0.16, α = 0.05, 10 predictors, 259 participants) and yielded a power of 0.99, thereby indicatin […]


Mindfulness as a complementary intervention in the treatment of overweight and obesity in primary health care: study protocol for a randomised controlled trial

PMCID: 5948727
PMID: 29751819
DOI: 10.1186/s13063-018-2639-y

[…] obese) who attend PC spontaneously and of their own accord, especially in the Santo Amaro (São Paulo), and who meet the inclusion criteria for the study. Power analysis was calculated a priori using G*Power 3.1 [] for repeated-measures analysis of variance (ANOVA). The results indicated that a sample size of 240 (n = 80 per group) is needed, with a significance level of 5% and a power of 80% to d […]


Physical violence against health staff by mentally ill patients at a psychiatric hospital in Botswana

PMCID: 5948676
PMID: 29751808
DOI: 10.1186/s12913-018-3187-6
call_split See protocol

[…] e and other variables such as profession, religion, marital status and age group. The level of significance was set at P < 0.05.A post hoc analysis of the power of the study was carried out using the G*power software. At a medium effect size of 0.5, it was found to be 86 and 91% for 12 months and lifetime violence respectively, when compared with those who did not report violence. […]


An evaluation of osteopathic treatment on psychological outcomes with patients suffering from chronic pain: A prospective observational cohort study collected through a health and well being academy

PMCID: 5952292
PMID: 29780605
DOI: 10.1177/2055102918774684

[…] In this study, a modest sample size was chosen. A G*Power analysis () was conducted with power selected at 0.8, alpha at 0.05 and with an a priori moderate effect size of d = 0.5 (ηp2=0.06) selected (based on the criteria of . 0.8 power was selected […]


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G*Power institution(s)
Christian-Albrechts-Universität, Kiel, Germany; Universität Mannheim, Mannheim, Germany; Heinrich-Heine-Universität, Düsseldorf, Germany
G*Power funding source(s)
Supported by Grant SFB 504 (Project A12) from the Deutsche Forschungsgemeinschaft.

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