# SPSS Data Analysis

Creating nice charts and tables gives great insight into your data. They should always accompany statistical tests such as ANOVA and regression. The tutorials presented below walk you through the main scenarios. They'll also point out which statistical test -if any- is appropriate for each case.

# Associations Between Variables

## Association between Categorical Variables

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. Read More

## Association between Metric and Dichotomous Variable

This tutorial shows how to create nice tables and charts for studying the association between a dichotomous and a metric variable. If statistical assumptions are met, these may be followed up by an independent samples t test. Read More

## Association between Metric and Categorical Variable

This tutorial shows how to run nice tables and graphs for investigating the association between a metric and a categorical variable. If statistical assumptions are met, these may be followed up by a one-way ANOVA. Read More

## Association between Metric Variables

This tutorial will investigate the association between metric variables with nice tables and charts; we'll build scatterplots and run correlation tables. Read More

# Comparing Variables

## Descriptive Statistics – One Metric Variable

A previous tutorial introduced some summary statistics appropriate for both categorical as well as metric variables. Now it's time to turn to some measures that apply to metric variables exclusively. The most important ones are the mean (or average), variance and standard deviation. Read More

## Descriptive Statistics – One Categorical Variable

The mode, median and percentiles are summary statistics that are sometimes misunderstood. This tutorials discusses them briefly along with some real world examples. Read More

## Analyzing Categorical Variables Separately

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. Read More

## Comparing Dichotomous Variables

This tutorial shows how to create nice tables and charts for comparing multiple dichotomous variables. We'll use some cool tricks for doing so. Read More

## Comparing Dichotomous or Categorical Variables

This tutorial shows how to create nice tables and charts for comparing multiple categorical variables. This approach is suitable for variables having identical value labels and comparable contents. Read More

## Comparing Metric Variables

This tutorial shows how to create proper tables and means charts for multiple metric variables. We'll use some cool tricks along the way for getting the most out of our output. Read More