Skip to main content

SPSS Tutorials Home

Written and illustrated tutorials for the statistical software SPSS.

What's in this guide?

Our written step-by-step tutorials are organized into sections. Users can work through the tutorials in order or skip through to topics of interest.

Section 1: Intro to the SPSS Environment is intended for new users of SPSS. In this section, you'll learn how to:

  • Navigate the SPSS interface using the drop-down menus or syntax.
  • Create a new dataset or import data from a file.

Section 2: Working with Data covers data manipulation and cleaning of all kinds. In this section, you'll learn how to:

  • Create, modify, or compute new variables.
  • Manipulate a dataset by splitting, merging, or transposing techniques.

Section 3: Exploring the Data is intended for users who have mastered the skills in Section 1 and are ready to begin data analysis. In this section, you'll learn how to:

  • Generate descriptive statistics for numeric variables.
  • Create frequency tables and crosstabulations of categorical variables.
  • Graph the distributions or relationships of variables.
  • Interpret these measures.

Section 4: Analyzing the Data is intended for users who are ready to begin data analysis that incorporates hypothesis testing. In this section, you'll learn how to conduct and interpret various analyses, including:

  • Associations (Chi-Square, Pearson's Correlation)
  • Comparing means (One Sample t Test, Independent Samples t Test, Paired Samples t Test, One-Way ANOVA)
  • Predictive models (Multiple Regression, Logistic Regression, Ordinal Regression)

SPSS Versions and Editions

Our tutorials were first created using SPSS Statistics Standard versions 21 and 22. As of July 2015, they are being updated for SPSS Statistics Standard version 23.

Note: If you use a different version of SPSS (e.g., 20), or a different edition (e.g., premium rather than standard), you may notice differences in SPSS options and features. As a result, you may notice minor discrepancies between the SPSS tutorial content (provided here) and your personal SPSS user experience. In most situations, the tutorial content provides adequate guidance across versions and editions.

Accessing SPSS

Kent State University maintains a university-wide, limited seat license for SPSS Statistics Standard and SPSS Amos. These programs can be installed on any university-owned computer. SPSS licenses must be renewed yearly, typically in August. Note that SPSS Statistics is compatible with Windows, Mac, and Linux operating systems, but SPSS Amos is only compatible with Windows.

Currently, Kent State's licensing agreement only permits SPSS to be used for teaching and research purposes. If you need to use SPSS for any reason outside of teaching or research, please contact Information Services.

University-Owned Computers

Please contact your local support person to receive a copy of the software or to renew your existing license.

Personally-Owned Computers

Faculty/Staff

Faculty who wish to install SPSS Statistics or SPSS Amos on their personally owned computers may purchase an educational license through http://kent.e-academy.com. Note that faculty and staff wishing to purchase Amos this way are only able to purchase it in a bundle with SPSS Statistics.

Currently enrolled students

Students can purchase the SPSS Statistics or SPSS Amos GradPacks at http://kent.e-academy.com.

To determine which edition of the GradPack to purchase, please consult with your instructor. 

Public Computers on Campus

Most public computer labs on campus have SPSS installed. Information Services has a list of public computer lab locations and hours at the Kent campus.

Sample Data Files

Our tutorials reference a dataset called "sample" in many examples. If you'd like to download the sample dataset to work through the examples, choose one of the files below:

For More Information

These tutorials were created by Statistical Consulting at Kent State University Libraries.


Current authors

  • Kristin Yeager
  • Subir Goyal
  • Meghan Novisky

Past authors

  • Ryan Burke
  • Sarah Samblanet