A chi-square independence test evaluates if two categorical variables are related in some population.

This simple introduction explains how the test basically works and how to run and interpret it.

SPSS chi-square independence test examines if two categorical variables are associated. For the strength of such an association, inspect Cramér’s V, Kendall’s tau or the Spearman correlation.

Most data analysts are familiar with post hoc tests for ANOVA. Oddly, such post hoc tests for the chi-square independence test are not widely used.

This tutorial walks you through 2 options for obtaining and interpreting them in SPSS.

A chi-square goodness-of-fit test examines if a categorical variable has some hypothesized frequency distribution in some population.

SPSS one-sample chi-square test is used to test whether a single categorical variable follows a hypothesized population distribution.