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Software for Digital Scholarship

Information about DiSC-supported software for the collection, processing, analysis or display of numeric, text, or geospatial data

SPSS statistical software is now owned by IBM, a previous version was called PASW. SPSS has many different modules, and not all installations have all modules. So, be careful. SPSS is mostly point-and-click, which makes the learning curve low. It does have syntax, which is important to be aware of and keep for reproducibility of analysis. The syntax is laborious, however, and those who can program are likely to prefer using Stata or R.

Access to SPSS

Consider also these Free, Open-Source alternatives:

  • PSPP - intentional look-alike which can do data management and basic statistics
  • Jamovi - R-based interface with familiar features, can do more advanced statistics
  • Blue Sky Statistics - (Windows Only) R-based SPSS-like interface has tons of features

Data Preparation, Exploration, and Graphing

SPSS for Data Preparation and Exploration

Video Courses

Video (Unorganized)


Statistical Analyses

See more about the theory and interpretation of statistical tests in our Data Analysis & Statistics InfoGuide

SPSS for Statistical Testing

All include Correlation, T-Tests (all 3) OneWay, Repeated Measures, Factorial/Two-Way ANOVA, Linear and Binary Logistic Regression unless specified.


  • Statistical Analyses Using SPSS (Dr. Todd Grande, Psychology) - A large and wide variety of tests (including non-parametric and assumption checking) along with videos on specific circumstances.
  • SPSS Statistics Essential Training (Barton Paulson, LinkedIn Learning) - also includes Clustering and Classification analyses
  • SPSS Tutorials (Data Demystified; Jeff Galik, Marketing) - also Clustering and Classification analyses and extra coverage of specific techniques and situations.
  • SPSS Tutorials (London School of Economics) also includes 3-way Chi-Square, only includes Independent-samples T-Test.
  • Statistics + SPSS (Quantitative Specialists) - playlists on various analyses and statistical concepts.



  • NYU's Quantitative Analysis Guide - Look-up table to choose a statistical test, with links to tutorials on the IBM, Laerd and UCLA sites.
  • Psychology Resource Archive by University of Nebraska Department of Psychology - Includes a wide variety of simple and advanced analyses separately based on specific circumstances.
    • Short (2-3 pg) handout includes real example, showing point-and-click and syntax setup, annotated output and a sample writeup
    • Best if you know exactly what you need to do and you like a lot of information in a small space.
  • Karl Wuensch's SPSS Lessons by Karl Wuensch, East Carolina University - also includes MANOVA, PCA, Path analysis, DFA, and many special circumstances.
    • Dozens of lengthy (10-20pg) Word Documents including theory and interpretation along with setup (see also Statistics Lessons)
    • Best for intermediate or advanced students who want and need theoretical details.
  • SPSS Tutorials by Ruben Geert van den Berg - also includes Factor Analysis, several types of correlations, and specific circumstances
    • Best if you want to use syntax and want something user-friendly.
  • Basic Statistical Methods for Social Science Sourcebook: SPSS by Craig A. Wendorf - no Regressions
    • Annotated Output and Hand Calculation Formulas.
    • Best if you mostly need to understand details such as calculations or elements of output without as much context.
  • SPSS Tutorials from Kent State University Libraries Statistical Consulting -only One-Way ANOVA and no Regression, but others are well done.
    • Best for new researchers that only need simple analyses.
  • Passion-Driven Statistics (choose the SPSS tab) - Conceptually organized into ANOVA, Chi-Square, Correlation, Moderation, and Multivariate Models
    • Moderate-length PDFs explaining a few different scenarios for each
    • Best for those who want to think conceptually and don't mind reading.