SPSS -officially IBM SPSS Statistics- is super easy software for editing and analyzing data.

This tutorial is a quick overview of what SPSS is mostly used for and how it basically works.

SPSS’ main window is the data editor. It shows our data so we can visually inspect it.

This tutorial explains how the data editor works: we'll walk you through its main parts and point out some handy tips & tricks.

SPSS syntax is computer code used by SPSS for analyzing data, editing data, running statistical tests and more.

Using SPSS syntax is super easy and saves tons of time and effort. This tutorial quickly gets you started!

SPSS’ output window shows the tables, charts and statistical tests you run while analyzing your data.

This tutorial walks you through some basics such as exporting tables and charts to WORD or Excel. We'll also point out some important tricks such as batch editing and styling tables and charts.

The median is basically the value that separates the 50% lowest from the 50% highest values.

Example: a median income of $2,500 means that 50% of all people earn less and 50% earn more than that amount.

A frequency distribution is a table listing each distinct value of some variable and the number of times it occurs in some dataset. This tutorial shows some examples of tables and charts for frequency distributions.

Understanding SPSS variable types and formats allows you to get things done fast and reliably. Getting a grip on types and formats is not hard. However, the way they've been implemented in SPSS is very, very confusing. This tutorial aims at taking away this confusion and putting the user back into control.

Statistical significance is the probability of finding a given deviation from the null hypothesis -or a more extreme one- in a sample.

A null hypothesis is a precise statement about a population that we try to reject with sample data.

Social sciences often use the concept of measurement levels: nominal, ordinal, interval and ratio. These imply which actions are (in)appropriate for different variables. They thus provide major guidelines for analyzing data.

In SPSS, IF is a conditional COMPUTE command. It calculates a (possibly new) variable but only for those cases that satisfy some condition(s). It's usually an easier alternative for DO IF-END IF.

SPSS FILTER excludes a selection of cases from all subsequent analyses until you switch it off.

Using a filter comes down to creating a (new) filter variable and activating it. This tutorial shows the easy way to do so and points out some nice alternatives as well.

Convert SPSS string variables into numeric ones the right way. Quickly master the trick with this step-by-step example with downloadable practice data.

How to compute means in SPSS? This tutorial demonstrates simple but solid examples - with tips, tricks and pitfalls - for computing means over both variables and cases.