19 April 2013 - Release 3.1.7 Mac and Windowsįixed a problem in the exact test of Proportions: Inequality, two independent groups (uncontional). Improvements in the logistic regression module: (1) improved numerical stability (in particular for lognormal distributed covariates) (2) additional validity checks for input parameters (this applies also to the poisson regression module) (3) 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.

31 January 2014 - Release 3.1.8 Mac and Windows Note, however, that the change affects the results only when N is very small. Negative effect directions, that is, slope|H1 = upper limit. 6 February 2019 - Release 3.1.9.4 Mac and Windowsįixed a bug in t tests: Linear bivariate regression: One group, size of slope. 14 January 2020 - Release 3.1.9.5 Macįixed 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. 21 February 2020 - Release 3.1.9.6 Mac and Windowsįixed a bug in z tests: Generic z test: Analysis: Criterion: Compute alpha: The critical z was calculated incorrectly.įixed a bug in t tests: Linear bivariate regression: One group, size of slope: |sy/sx| was sometimes calculated inccorrecty. Results exporting: You can export your tables or graphs to other data formats, such as Excel, Word, Stata, CSV, tab-delimited, etc.Changed the behavior of the “X-Y plot for a range of values” which allowed plotting graphs after changing input parameters in the main window without hitting the “Calculate” button which, however, is required to update the “X-Y plot for a range of values” with the new input parameters from the main dialog.Simplified data processing: The SPSS program allows you to rearrange and merge the variables in your data in many different ways.You can also use the tool to predict variables through regression and multiple regression. Statistical analysis: SPSS allows you to perform univariate, bivariate and multivariate data analysis.Descriptive statistics: Compute a large number of descriptive statistics for your variables, including mean, sum, variance, standard deviation, range, standard error, skewness, and much more.It is especially useful for planning and data collection, reporting, analysis, and deployment. IBM SPSS is a powerful solution for research analysis in all kinds of industries, like education, healthcare, market research, government, retail, and more.

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