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

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.

In SPSS, SELECT IF removes a selection of cases from your data.

This tutorial walks you through the basics and some FAQ's such as

• how to remove cases based on 2 variables instead of one?
• how to remove cases based on (number of) missing values?
• how to visually inspect only those cases that will be removed?

Before running SPSS stepwise regression, first just get a grip on your data. This tutorial walks you through the essential data checks.

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.

Before analyzing our data, we check whether they contain any bad cases. If these are present, we need to exclude them from our analyses.

Most real world data contain some (or many) missing values. It's always a good idea to inspect the amount of missingness for avoiding unpleasant surprises later on. In order to do so, SPSS has some missing values functions. This tutorial demonstrates how to use them effectively.