How to create an APA format correlation matrix in SPSS? This simple tutorial shows the easy way to do so and offers a Python script that processes one or many tables in one go.
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Basic frequency tables created in SPSS look monstrous. This tutorial shows how to create nice and clean APA format tables with a simple trick.

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Running simple contingency tables in SPSS is easy enough. However, the default format is very inconvenient and doesn't meet APA standards. This tutorial shows 3 ways to create better tables.

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For APA format descriptives tables, avoid DESCRIPTIVES. Instead, use MEANS and transpose the resulting tables. This tutorial guides you through.

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SPSS CROSSTABS is used for

• chi-square tests;
• contingency tables;
• different correlations (Pearson, Spearman, Kendall, Cramér's);
• clustered bar charts.

This quick tutorial walks you through some examples.

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SPSS MEANS produces tables containing means and/or other statistics for different groups of cases. These groups are defined by one or more categorical variables. If assumptions are met, MEANS can be followed up by an ANOVA.

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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.

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

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SPSS FREQUENCIES command can be used for much more than frequency tables; it's also the easiest way to obtain basic charts such as histograms and bar charts. On top of that, it provides us with percentiles and some other statistics. Plenty of reasons for taking a closer look at this ubiquitous SPSS command.
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