LiteratureWhen using G*Power you may find the resources listed on this page helpful. If you are aware of other articles or book chapters in which G*Power was used to demonstrate how power analyses are done or was compared to other power analysis tool, then we would appreciate if you could send us an e-mail with the reference to the paper.
Journal articles, books, and book chapters illustrating the use of G*PowerBaguley, T. S. (2004). Understanding statistical power in the context of applied research. Applied Ergonomics, 35, 73-80.
Buchner, A., Erdfelder, E., & Faul, F. (1996). Teststärkeanalysen [Power analyses]. In E. Erdfelder, R. Mausfeld, T. Meiser & G. Rudinger (Eds.), Handbuch Quantitative Methoden (pp. 123-136). Weinheim: Psychologie Verlags Union.
Cunningham, J.B., McCrum-Gardner, E. (2007) Power, effect and sample size using GPower: practical issues for researchers and members of research ethics committees. Evidence Based Midwifery, 5, 132-136.
Erdfelder, E., Buchner, A., Faul, F., & Brandt, M. (2004). GPOWER: Teststärkeanalysen leicht gemacht [GPOWER - Power analyses made easy]. In E. Erdfelder & J. Funke (Eds.), Allgemeine Psychologie und deduktivistische Methodologie (pp. 148-166). Göttingen: Vandenhoeck & Ruprecht.
Erdfelder, E., Faul, F., & Buchner, A. (1996). GPOWER: A general power analysis program. Behavior Research Methods, Instruments & Computers, 28, 1-11.
Erdfelder, E., Faul, F., & Buchner, A. (2005). Power analysis for categorical methods. In B. S. Everitt & D. C. Howell (Eds.), Encyclopedia of statistics in behavioral science (pp. 1565-1570). Chichester, UK: John Wiley & Sons, Ltd.
Illustrates how to compute power and sample size for categorical data.
Faul, F., Erdfelder, E., Lang, A.-G., & Buchner, A. (2007). G*Power 3: A flexible statistical power analysis for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39, 175-191..
Illustrates the improvement over the previous G*Power version and shows use and options of the new version.
Keppel, G., & Wickens, T. D. (2004). Design and analysis. A researcher's handbook (4th ed.). Upper Saddle River, NJ: Pearson Education International.
Includes a chapter on "Effect Size, Power, and Sample Size" in which GPOWER is used and recommended.
Kornbrot, D. E. (1997). Review of statistical shareware G*Power. British Journal of Mathematical and Statistical Psychology, 50, 369-370.
Review of G*Power.
Levin, J. R. (1997). Overcoming feelings of powerlessness in "aging" researchers: A primer on statistical power in analysis of variance designs. Psychology and Aging, 12, 84-106.
Uses G*Power to calculate power and sample sizes for analysis of variance designs.
Mayr, S., Erdfelder, E., Buchner, A. & Faul, F. (2007). A short tutorial of GPower. Tutorials in Quantitative Methods for Psychology, 3, 51‐59.
Myers, J. L., & Well, A. D. (2003). Research design and statistical analysis (2nd ed.). Mahwah, NJ: Lawrence Erlbaum Associates.
Uses G*Power as a power analysis tool for ANOVA designs.
Nolan, S. A., & Heinzen, T. E. (2007). Statistics for the behavioral sciences. New York, NY: Worth Publishers.
Prajapati, B., Dunne, M., & Armstrong, R. (2010). Sample size estimation and statistical power analyses. Optometry Today, July 16.
Rasch, B., Friese, M., Hofmann, W. J., & Naumann, E. (2006a). Quantitative Methoden 1. Einführung in die Statistik (2nd ed.) [Quantitative methods 1. Introduction to statistics]. Heidelberg: Springer.
Introduction to t-tests and power analyses for these tests that can be performed using G*Power.
Rasch, B., Friese, M., Hofmann, W. J., & Naumann, E. (2006b). Quantitative Methoden 2. Einführung in die Statistik (2nd ed.) [Quantitative methods 2. Introduction to statistics]. Heidelberg: Springer.
Introduction to ANOVA and non-parametric tests as well as power analyses for these tests that can be performed using G*Power.
Sheppard, C. (1999). How large should my sample be? Some quick guides to sample size and the power of tests. Marine Pollution Bulletin, 38, 439-447.
A quick guide to sample sizes and the power of tests. G*Power is used for exemplary analyses.
Thomas, L., & Krebs, C. J. (1997). A review of statistical power analysis software. Bulletin of the Ecological Society of America, 73, 126-139.
Review of G*Power.
Tsigilis, N. (1999). The significance of statistical power in research design in the field of physical education and sport sciences: Results from published studies. Human Performance and Health, 2, 200-210.
Illustrates the use of G*Power in physical education and sports sciences (in Greek).
Dienstag, 21. 05. 2013
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Letzte Änderung: 08.06.2011, 16:20