The z-test for one proportion is one of the most basic statistical tests. Suprisingly, it's not included in SPSS.

We therefore built this super easy tool that runs the test on one or many dichotomous variables in one go. Read More

SPSS Mann-Whitney test evaluates if two groups of cases have equal means on some outcome variable.

This simple tutorial with downloadable practice data file will guide you through the menu and output. Read More

The z-test for one proportion is one of the most basic statistical tests. Suprisingly, it's not included in SPSS.

We therefore built this super easy tool that runs the test on one or many dichotomous variables in one go. Read More

SPSS Friedman test compares the means of 3 or more variables measured on the same respondents.

It's an alternative for repeated-measures ANOVA that requires less from your data. Read More

SPSS Wilcoxon Signed-Ranks test is used for comparing two metric variables measured on one group of cases.

It's a powerful test that doesn't ask much from your data. Simple, step by step tutorial. Read More

SPSS Z-Test and Confidence Intervals for 2 Independent Proportions Tool. Freely downloadable and easy to use from the menu. Read More

The Mann-Whitney test is an alternative for the independent samples t test when the assumptions required by the latter aren't met by the data. The most common scenario is testing a non normally distributed outcome variable in a small sample (say, n < 25). Read More

This z-test compares separate sample proportions to a hypothesized population proportion. This tool is freely downloadable and super easy to use. Read More

SPSS Friedman test compares the means of 3 or more variables measured on the same respondents. Like so, it is a nonparametric alternative for a repeated-measures ANOVA that's used when the latter’s assumptions aren't met. Read More

SPSS Wilcoxon Signed-Ranks test is used for comparing two metric variables measured on one group of cases. It's the nonparametric alternative for a paired-samples t-test when its assumptions aren't met. Read More