What's new in G*Power 3.1.9.6
Apr 17, 2020
- Fixed a bug in z tests: Generic z test: Analysis: Criterion: Compute alpha: The critical z was calculated incorrectly.
- Fixed a bug in t tests: Linear bivariate regression: One group, size of slope: |sy/sx| was sometimes calculated inccorrecty.
New in G*Power 3.1.9.5 (Apr 17, 2020)
- Fixed a bug that caused the “Options” button (which is available for some tests in the main window) to disappear when “Hide distributions & control” was selected.
New in G*Power 3.1.9.4 (Jun 6, 2019)
- Fixed a bug in “Linear bivariate regression: One group, size of slope”. Negative effect directions, that is, slope|H1 < slope|H0, were not always handled correclty. Furthermore, the restriction (|slope| < |sy/sx|) on the effect size, which was previously ignored, is now checked.
New in G*Power 3.1.9.3 (Jul 18, 2017)
- Fixed a bug that could cause crashes.
New in G*Power 3.1.9.2 (Mar 21, 2014)
- Fixed a bug in the χ2 tests, Goodness-of-fit tests: Contingency tables module which prevented the computed effect size from appearing in the effect size drawer.
New in G*Power 3.1.9.1 (Mar 11, 2014)
- Now includes the calculator that previously has been included only in the Windows version.
New in G*Power 3.1.9 (Feb 6, 2014)
- Fixed a bug in the sign test’s sensitivity analysis which led to an offset of -0.5 in the reported effect size.
- Changed the behaviour of all tests based on the binomial distribution. The upper and lower limits are now always within the range [0,n] instead of [-1,n+1]. This change may lead to alpha values larger than the requested alpha values, but now we have the advantage that the upper and lower limits correspond to actual decision boundaries. For instance, in a two-sided test H0 is rejected if, for the observed number x of successes, it holds that x = upper limit. Note, however, that the change affects the results only when N is very small.
New in G*Power 3.1.8 (Feb 1, 2014)
- Improvements in the logistic regression module:
- improved numerical stability (in particular for lognormal distributed covariates);
- additional validity checks for input parameters (this applies also to the poisson regression module);
- in sensitivity analyses the handling of cases in which the power does not increase monotonically with effect size is improved: an additional Actual power output field has been added; a deviation of this actual power value from the one requested on the input side indicates such cases; it is recommended that you check how the power depends on the effect size in the plot window.
New in G*Power 3.1.7 (Apr 20, 2013)
- Fixed a problem in the exact test "Proportions: Inequality, two independent groups (uncontional)". The problem only occurred when p1 > p2.
New in G*Power 3.1.5.1 (Sep 12, 2012)
- Fixed a problem with the effect size drawers of "ANOVA: Fixed effects". The drawers now appear correctly after clicking on the "Determine" button.
New in G*Power 3.1.5 (Sep 12, 2012)
- Fixed a problem in the test of equality of two variances. The problem did not occur when both sample sizes were identical.
- Fixed a problem in calculating the effect size from variances in the repeated measures ANOVA.
New in G*Power 3.1.4 (Jul 4, 2012)
- Added an options dialog to the repeated-measures ANOVA which allows a more flexible specification of effect sizes.
- Fixed a problem in calculating the sample size for Fisher's exact test. The problem did not occur with post hoc analyses.
New in G*Power 3.1.3 (Jul 6, 2011)
- Fixed a bug in the ANCOVA module. Changing the number of covariates now correctly leads to the appropriate change in the denominator degrees of freedom.