G*Power

Name: G*Power
Rating: 4.75 (2 reviews)

G*Power overview

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.

What’s new in version 3.1.9.6

Updated on Mar 31 2020

Version 3.1.9.6:

Fixed:

A bug in z tests: Generic z test: Analysis: Criterion: Compute alpha: The critical z was calculated incorrectly.
A bug in t tests: Linear bivariate regression: One group, size of slope: |sy/sx| was sometimes calculated inccorrecty.

View older G*Power updates

Information

License

Free

Size

2 MB

Developer’s website

https://www.psycho.uni-duesseldorf.de/abteilungen/aap/gpower3

Downloads

75038

App requirements

Intel 64
Mac OS X 10.7.0 or later

0.0

(0 Reviews of )

There are no reviews yet

dpc10ster

Mar 21 2015

3.1.9.2

5.0

Mar 21 2015

5.0

Version: 3.1.9.2

I have used this over years to illustrate key statistical concepts to students; I plan to use it in a book on observer performance that I am working on; very intuitive interface;

Conroy-r

Mar 1 2007

3.0.2

5.0

Mar 1 2007

5.0

Version: 3.0.2

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!