SPSS Resources

We strongly recommend the UCLA website for a variety of tutorials on using SPSS.

ORC Presentations

  • Managing Data in SPSS: Part of our workshop on managing data in Excel and SPSS. This part introduces SPSS and teaches how to use SPSS syntax, label variables, compute new variables, and merge datasets. Class examples are included in the presentation and can be accessed by clicking "enable editing" then double clicking the icon.
  • Multiple Regression and Relative Importance Analysis: Our worshop introducing the concepts of multiple regression and relative importance analysis as well as how to perform them using SPSS.
  • Multiple Regression, Moderation, Mediation, and Path Analysis: Our workshop which reviews multiple regression, moderation, and mediation, and teaches how to perform path analysis in SPSS.

Videos

  1. SPSS Lab Session #1 Creating Data Set, Adding Variables and Values: This video will walk you through the steps to create a new data set, name each variable and add values.

  2. Combining Data Sets in SPSS: How to combine two data sets in SPSS.

  3. Create Dummy Variables in SPSS: How to create dummy variables from one categorical variable in SPSS.

  4. Introduction to SPSS-Create Data and Descriptive Statistics: An introduction to SPSS about how to create a data set and examine descriptive statistics.

  5. SPSS for newbies - Basic Data Transformation and Management: How to add, subtract, divide using point-click, and syntax; undo a mistake; swap columns; delete columns.

  6. SPSS for newbies - Select cases, removing outliers, data cleaning: How to remove outliers in SPSS, how to select a part of the data to analyze in SPSS (proper term is selecting a subset, or selecting cases to analyze), and how to clean your data in SPSS.

  7. SPSS for newbies - questionnaire data entry: How to enter data into SPSS.

  8. Data Files in SPSS: How to manage data files in SPSS.

  9. Entering Data in SPSS: How to enter data into SPSS.

  10. How to Clean SPSS Data: Describes the process of running frequencies, replacing missing data, and recoding items for reverse coding.

  11. Restructure from wide to long form in spss: Describes how to use the SPSS Restructure Data Wizard to restructure your data from wide to long format and from long to wide format.

  12. Align and Rank Data for a nonparametric Factorial ANOVA: How to use Aligned Rank Transform (ART) for general nonparametric factorial analysis. ART was designed to solve the problem for transforming data that may have interactions so you can use the data beyond a Kruskal-Wallis or Friedman test.

  13. Align and Rank Data for a nonparametric Mixed Model ANOVA: How to use Aligned Rank Transform (ART) for mixed model ANOVAs with non-normal data. ART was designed to solve the problem for transforming data that may have interactions so you can use the data beyond a Kruskal-Wallis or Friedman test.

  14. Align and Rank Data for a nonparametric Linear Mixed Model ANOVA: How to use Aligned Rank Transform (ART) for Linear Mixed Model ANOVAs with non-normal data. ART was designed to solve the problem for transforming data that may have interactions so you can use the data beyond a Kruskal-Wallis or Friedman test.

Text Resources

  1. Creating a New SPSS Dataset-Variable Specification and Entry [PDF, 291KB]: A step-by-step guide on how to enter variables/data into SPSS.

  2. Create a data set and enter data into SPSS: This tutorial illustrates how to create a data set in SPSS.

  3. Data Preparation in SPSS [PDF, 1.26MB]: Includes best practices and how to use syntax in SPSS.

  4. SPSS Basic Skills Tutorial: Data Entry: An easy tutorial about how to enter data into SPSS.

  5. How to Create and Merge Datasets in SPSS [PDF, 144KB]: Tutorial on not only how to create datasets but also how to merge them.

  6. Data Preparation with SPSS [PDF, 667KB]: This article reviews general issues involving data analysis and gives an overview and introduction of SPSS.

  7. IBM SPSS Data Preparation: Gives an overview of various options in SPSS to prepare data prior to analysis.

  8. Introduction to IBM SPSS Statistics 22 [PDF, 142KB]: This book chapter gives an introduction, overview, and how to do common tasks with SPSS.

  9. Importing Data into SPSS: This tutorial discusses how to import data into SPSS.

  10. How to Manage Data in SPSS: This page will show you how to manage data in SPSS: how to create a data file, name and label variables, deal with missing values, compute new variables based on existing variable scores and recode scores.

  11. SPSS Programming and Data Management [PDF, 3.6MB]: A full textbook about SPSS!

  12. SPSS Data Management Tutorial [PDF, 351KB]: Tutorial about how to compute new variables, recode variables, look at select cases, merge 2 datasets, and export SPSS data to other programs.

  13. SPSS Common Data Transformations & Case Management [PDF, 600KB]: Tutorial on how to create new variables based on a formula, using recode to combine categories of a variable, using recode to make a quantitative variable into a set of categories, data selection, split files, and using SPSS syntax for data management.

  14. Managing Data Files [PDF, 2.2MB]: A short chapter about how to use SPSS to manage data files. 
  15. Getting Started with SPSS for Windows: An introduction and overview and a "getting started" document for SPSS.

  16. Using Syntax Commands and Data Management [PDF, 664KB]: How to use syntax in SPSS and various odds and ends related to data management.

  17. SPSS Step by Step Tutorial Part 1 [PDF, 785KB]: A textbook that goes step by step on how to use SPSS.

  18. Learning SPSS: Data and EDA [PDF, 1.45MB]: This chapter gives on overview of how to use SPSS.