Search Mac Software Downloads
|
MacUpdate Desktop 5     |     Weekly Popular  |  Hot Picks  |  iPhone  |  Mac OS X  |  About     |     BUNDLE EVENT: Parallels 5 w/9 Top Mac apps Add a File +
EDITOR NOTES
'Download Now' yields the Intel version, for PowerPC see 'Related Links'.
DESCRIPTION
G*Power is a statistical power analysis program. It is a major extension of, and improvement over, the previous version, covering many different statistical tests of the F, t, chi-square, and z test families as well as some exact tests. G*Power 3 provides improved effect size calculators and graphics options, it supports both a distribution-based and a design-based input mode, and it offers five different types of power analyses. Like its predecessors, G*Power 3 is free.
Download Now
WHAT'S NEW
Version 3.1.2:
  • Renamed the Repetitions parameter in repeated measures procedures to Number of measurements (Repetitions was misleading because it incorrectly suggested that the first measurement would not be counted).
  • Fixed a problem in the sensitivity analysis of the logistic regression procedure: There was an error if Odds ratio was chosen as the effect size. The problem did not occur when the effect size was specified in terms of Two probabilities.
  • Mac version: The Window menu now contains the option to hide the distributions plot and the protocol section (Hide distributions & protocol menu item) so that G*Power can be accommodated to small screens. This option has been available for some time in the Windows version (see View menu).
REQUIREMENTS
Mac OS X 10.4 or later.
RELATED LINKS

SHARE
Share
SCREENSHOT

Developer:Franz Faul, Edgar Erdfelder, Albert-Georg Lang, Axel Buchner
Downloads:4,926
  - Version d/l:500
Education:Science
License:Free
Date:01 Feb 2010
Platform:PPC/Intel
RATING
*****

OTHER PEOPLE SUGGEST
    No similar products suggested yet
    Suggest something else:
    G*Power User Reviews (1 post)Write A Review
    sort: smiles | time
    Mar 1 2007
    *****

    CONROY.R  This release marks a huge increase in the capability of G*Power, which now calculates for wide variety of designs. It is based on the notion of an effect size, and one of the useful features is its ability to calculate effect size from descriptive statistics and then transfer the result to the calculation of sample size.

    For many researchers, G*Power will be sufficient to see if your potential sample size will have a reasonable chance of capturing the effect you are looking for (assuming the effect exists!). The interface design makes calculations rapid and simple.

    The help files are online, and look well structured. Unfortunately, not all help topics are yet complete.

    Of course, if you don't know what sample size software should do, the application will make no sense to you!  
    (Version 3.0.2)

    praisebury
    +1
    [ Reply ]