SPSS (Statistical Package for Social Sciences) is a software used by researchers, across various disciplines, for statistical analysis and data collection. Rooted largely in the behavioral and social sciences, SPSS is a powerful quantitative tool that is relatively easy to use for beginners of statistical software programs.
To access SPSS through UT Tyler, access https://one.uttyler.edu and login with your UT Tyler credentials
If you run into issues accessing SPSS, contact UT Tyler’s IT department.
IBM Resources about SPSS
Definitions of Major SPSS Terms
Manuals, Documentation and Customer Support from IBM
SPSS Tutorials
Getting Started in Data Analysis: Created by Princeton University Library, this guide introduces basic features and tools of SPSS software. Also covers Stata, R and Excel.
SPSS Tutorial for Beginners: A step-by-step guide on how to SPSS offered by Statistics How to
SPSS Training Classes, Learning Modules and FAQs: Created by UCLA, this is an incredibly helpful resource to familiar yourself with SPSS software
eBook Resources about SPSS (available through the library)
Using SPSS Syntax : A Beginner′s Guide by Jacqueline Collier
IBM SPSS Modeler Cookbook by Keith McCormick, Dean Abbott, Meta S. Brown, Tom Khabaza, and Scott R. Mutchler
SPSS Statistics for Dummies by Keith McCormick, Jesus Salcedo, and Aaron Poh
SPSS Survival Manual: A Step by Step Guide to Data Analysis Using IBM SPSS by Julie Pallant
Adventures in Social Research: Data Analysis Using IBM SPSS Statistics by Earl R. Babbie, William E. Wagner-Huang, and Jeanne S. Zaino
Performing Data Analysis Using IBM SPSS by Lawrence S. Meyers
SPSS Statistics for Data Analysis and Visualization by Keith McCormick, Jesus Salcedo, Jon Peck, Andrew Wheeler, and Jason Verlen
Using Statistics in the Social and Health Sciences with SPSS and Excel by Martin Lee Abbott
Quantitative Data Analysis Using SPSS: An Introduction for Health and Social Sciences by Pete Greasley
Intermediate Statistics Using SPSS by Herschel Knapp
The following is a list of other statistical softwares and programs used by social and behavioral scientists.
Please note that many of these programs require a subscription and are not free to use.
JMP - used as an analysis of data, providing tools for visualization, modeling, and statistical analysis. Used by STEM and healthcare professionals.
MATLAB - a programming language and interactive computing software used for numerical computing, algorithm development, and data visualization.
Python - an open source programming language used for statistical analysis. Offers tools for data manipulation, visualization, and modeling.
R - a free, open source statistical analysis and visualization software used by data scientists.
SAS (Statistical Analysis System) - used for data analysis and predictive analytics. Offers helpful statistical procedures and data management tools.
Stata - used by the social scientists, business healthcare professionals and data scientists; offers many data analysis tools
Helpful Resources:
Data Science Workshop Materials: Created by the Institute for Quantitive Social Science (IQSS), this page features helpful step-by-step guides and tutorials on how to install major statistical software programs (R, Python and Stata) and how to use those tools for maximum effect.