2007
DOI: 10.20982/tqmp.03.2.p051
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A short tutorial of GPower

Abstract: The purpose of this paper is to promote statistical power analysis in the behavioral sciences by introducing the easy to use GPower software. GPower is a free general power analysis program available in two essentially equivalent versions, one designed for Macintosh OS/OS X and the other for MS-DOS/Windows platforms. Psychological research examples are presented to illustrate the various features of the GPower software. In particular, a priori, post-hoc, and compromise power analyses for t-tests, F-tests, and … Show more

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Cited by 354 publications
(206 citation statements)
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“…We calculated E(S), E(F), and PIE using the application Diversity. We used GPower (Mayr et al, 2007) to estimate power using our sampling design and sample size with the standard a priori estimate for effect size of 0.5 (Cohen, 1988;Bausell and Li, 2002). Planned t-tests contrasting terrestrial assemblages as a function of wetland type had an a priori power of 0.70, and the suite of 2 3 2 ANOVAs had power of 0.94 or better.…”
Section: Resultsmentioning
confidence: 99%
“…We calculated E(S), E(F), and PIE using the application Diversity. We used GPower (Mayr et al, 2007) to estimate power using our sampling design and sample size with the standard a priori estimate for effect size of 0.5 (Cohen, 1988;Bausell and Li, 2002). Planned t-tests contrasting terrestrial assemblages as a function of wetland type had an a priori power of 0.70, and the suite of 2 3 2 ANOVAs had power of 0.94 or better.…”
Section: Resultsmentioning
confidence: 99%
“…The area under the curve (AUC) was calculated, the 95% confidence intervals (95% CI) were determined, and the cut-off and performance quantifiers such as sensitivity and specificity were calculated. The required total sample size for a 90% power of the χ 2 test and a moderate effect size (w=0.3), computed using GPower v3.1.9.2 software [14] was of 117 subjects. All continuous data were expressed as mean ± standard deviation.…”
Section: Statisticsmentioning
confidence: 99%
“…The sample composition was analyzed a priori and a posteriori statistical power. Mayr et al (2007) explains that the statistical power is essential for the evaluation of statistical decisions, as well as for the design of the data. Thus, the G* Power 3.0 software was used to verify the adequacy of the sample.…”
Section: Sample Size and Statistical Powermentioning
confidence: 99%