This tutorial walks through running nice tables and charts for investigating the association between categorical or dichotomous variables. We'll demonstrate some cool SPSS tricks along the way.

SPSS CORRELATIONS creates tables with Pearson correlations, sample sizes and significance levels.

Its syntax can be as simple as correlations q1 to q5. which creates a correlation matrix for variables q1 through q5. This simple tutorial quickly walks you through some other options as well.

Get things done faster in SPSS by understanding its three basic command types: transformations, procedures and other SPSS commands.

When analyzing your data, you sometimes just want to gain some insight into variables separately. The first step in doing so is creating appropriate tables and charts. This tutorial shows how to do so for dichotomous or categorical variables.

SPSS DESCRIPTIVES generates a single table with descriptive statistics for one or more variables. It can also add z-scores to your data.

This tutorial walks you through running and interpreting a binomial test in SPSS.

With step-by-step example on downloadable practice data file.

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

How to run a one sample t-test correctly in SPSS?

This simple tutorial with downloadable practice data quickly walks you through the right steps!

SPSS Cochran's Q test is a procedure for testing whether the proportions of 3 or more dichotomous variables are equal. These outcome variables have been measured on the same people or other statistical units.

SPSS McNemar test is a procedure for testing whether the proportions of two dichotomous variables are equal. The two variables have been measured on the same cases.