SPSS for Data Analysis: Complete SPSS Tutorials

The SPSS Data Editor provides a simple and user-friendly interface for entering, editing, and managing datasets. Explore how the Data Editor works and familiarize yourself with its key functionalities.

The SPSS Output Viewer presents the results of your analysis in one place in an organized manner. Learn how to navigate the Output Viewer to understand and interpret the results of your statistical analyses.

Understand the different properties in the Variable View, set up variable properties, and enter numeric data in SPSS—quickly and easily!

Categorical and date variables are commonly used in SPSS. Learn how to define their properties and enter these types of data properly.

Take your SPSS skills one step further with the following essential skills that will significantly improve your productivity.

1. Edit, delete, update contents in the data editor

2. Copy and paste data and variable attributes

3. Delete or hide, reposition variables

Learn how to import data from Excel into SPSS in just a few clicks—no need to copy and paste dozens of variables or manually enter the data.

Learn to combine datasets in SPSS by matching cases with a shared identifier.

Learn how to use the Automatic Recode feature in SPSS to convert string (text) variables into numeric format. String variables can limit your ability to perform statistical analyses, but with Automatic Recode, you can quickly assign numeric codes to text values or categories—making your data suitable for a wide range of analyses.

Manual Recode can also be used in SPSS to convert string (text) variables into numeric format. Manual recoding is especially important when dealing with ordinal variables, such as Likert scale responses, where the order of categories matters. Unlike Automatic Recode, Manual Recode gives you full control over how each value is coded—ensuring accuracy and consistency in your data.

Reverse coding is an important step in calculating total scores for many  survey scales. Learn how to perform reverse coding in SPSS using the manaul recode command.

If you use multi-item survey instruments, you will typically need to create a combined score from the individual items. Two common methods are calculating the sum or the mean. In this lesson, you will learn how to do both using the Compute Variable command in SPSS.

Learn how to categorize a scale variable in SPSS using the manual Recode command. This can simplify your analysis and offer greater flexibility in your analytical process.

The Split File feature in SPSS allows you to divide your dataset into subgroups based on one or more categorical variables. When Split File is active, SPSS runs separate analyses for each subgroup, making it easier to compare results across categories.

The Select Cases feature in SPSS works similarly to the IF function in Excel. It allows you to specify conditions to create subsets of your dataset for targeted analysis.

Duplicate categories, too few cases in one or more categories, or simply too many categories? The obvious solution is to combine them—without unnecessarily removing cases. Learn how to do it properly in this lesson.

Sometimes, you may need to exclude an invalid category, value, or range from a variable. In such cases, you can define these values as missing in SPSS. This ensures they are ignored during analyses and do not affect your results.

Table editors can be used to customize tables within SPSS. In this lesson, you will become familiar with the interface of the SPSS Table Editor

This lesson introduces you to the SPSS Chart Editor, a tool that lets you modify and enhance the appearance of your graphs. You'll learn how to navigate its interface and make basic customizations to your charts.