G*Power 3

G*Power 3 is a major extension of, and improvement over, G*Power 2. It covers statistical power analyses for many different statistical tests of the F test, t test, χ2-test and z test families and some exact tests. G*Power 3 offers five different types of statistical power analysis: A priori (sample size N is computed as a function of power level 1-β, significance level α, and the to-be-detected population effect size), Compromise (both α and 1-β are computed as functions of effect size, N, and an error probability ratio q = β/α), Criterion (α and the associated decision criterion are computed as a function of 1-β, the effect size, and N), Post-hoc (1-β is computed as a function of α, the population effect size, and N), Sensitivity (population effect size is computed as a function of α, 1-β, and N), G*Power 3 provides improved effect size calculators and graphics options. It supports both a distribution-based and a design-based input mode. G*Power 3 is available for Mac OS X 10.4 and Windows XP/Vista. G*Power 3 is free.


References in zbMATH (referenced in 10 articles )

Showing results 1 to 10 of 10.
Sorted by year (citations)

  1. Barbieri, Christina; Booth, Julie L.: Support for struggling students in algebra: contributions of incorrect worked examples (2016)
  2. Chen, Cheng-Huan; Chiu, Chiung-Hui: Employing intergroup competition in multitouch design-based learning to foster student engagement, learning achievement, and creativity (2016)
  3. Goodman, Sara G.; Seymour, Travis L.; Anderson, Barrett R.: Achieving the performance benefits of hands-on experience when using digital devices: a representational approach (2016)
  4. Herbst, Patricio; Chazan, Daniel; Kosko, Karl W.; Dimmel, Justin; Erickson, Ander: Using multimedia questionnaires to study influences on the decisions mathematics teachers make in instructional situations (2016)
  5. Mansouri, S.Afshin; Aktas, Emel; Besikci, Umut: Green scheduling of a two-machine flowshop: trade-off between makespan and energy consumption (2016)
  6. Glöckner, Andreas; Hilbig, Benjamin E.; Jekel, Marc: What is adaptive about adaptive decision making? A parallel constraint satisfaction account (2014)
  7. Janczyk, Markus; Pfister, Roland: Understanding inference statistics. From A for significance test to Z for confidence interval (2013)
  8. Li, Yuelin; Baron, Jonathan: Behavioral research data analysis with R (2012)
  9. Wollschläger, Daniel: Foundations of data analysis with R. An application oriented introduction. (2010)
  10. Güleşir, Gürcan; van den Berg, Klaas; Bergmans, Lodewijk; Akşit, Mehmet: Experimental evaluation of a tool for the verification and transformation of source code in event-driven systems (2009)


Further publications can be found at: http://www.psycho.uni-duesseldorf.de/abteilungen/aap/gpower3/literature