The SPSS Set Chart Sizes Tool sets exact chart sizes for one or many charts in the output window. Freely downloadable with simple dialog window.

SPSS SET adjusts most settings in SPSS.

Doing so allows you to

• create much better output with hardly any additional effort;
• speed up a huge variety of tasks;
• accomplish tasks that are otherwise impossible.

SPSS 25 promises great looking charts by default. This tutorial compares the old and new versions for the most important charts in SPSS.

SPSS chart templates apply styling -colors, borders, fonts and more- to your charts. Chart templates let you run great looking charts super fast in SPSS.

How to create great looking bar charts in SPSS with minimal effort? This tutorial quickly walks you through.

OUTPUT MODIFY adjusts one or many SPSS output tables or charts one go.

This quick introduction demonstrates some amazing examples such as boldfacing large correlations or setting decimal places.

Some tranformation for making variables more normally distributed are

• Square/Cube Root
• Logarithmic
• Power
• Inverse
• Hyperbolic Arcsine
• Arcsine

This quick overview shows how/when to apply these transformations in SPSS and compares their results.

In SPSS, you can run a one-way ANOVA without the actual data if you have sample sizes, means and SD’s.

The output may include post-hoc tests, effect sizes and power but not Levene's test or any normality tests.

Post hoc tests in ANOVA test if the difference between each possible pair of means is statistically significant.

This step-by-step tutorial quickly walks you through the entire procedure.

Effect size is an interpretable number that quantifies the difference between data and some hypothesis.

Effect size measures are useful for comparing effects across and within studies. This tutorial helps you to choose, obtain and interpret an effect size for each major statistical procedure.