What is SPSS?
SPSS is a statistical software package that allows users to perform advanced analyses on datasets. Originally, SPSS was an abbreviation for “Statistical Package for the Social Sciences.” However, its use has now expanded to a variety of research fields and industries. SPSS is frequently used by higher education administration for institutional research, by faculty in teaching statistics and analysis, and by faculty and graduate students to collect and analyze research data.
How do I access SPSS?
SPSS is installed in all of the computer labs on the Seton Hall campus. Additionally, you can request an individual copy by completing the request form in Blackboard. Individual copies are based on availability and demonstrated need and are not guaranteed. Individual licenses of SPSS are currently only available to undergraduate students or graduate students who are part of the mobile computing program and receive a SHU laptop. Students must also be enrolled in a course that requires the use of SPSS.
Where do I go for help with SPSS?
Your instructor or research advisor should be your first point of contact if you need help using SPSS or deciding which analyses to run on your data. For technical help in how to conduct a particular analysis in the software, you can use the Help menu within the software program or the resources located at the bottom of the page.
The TLT Center's Computer Training Services also offer SPSS workshops. Check the availability of upcoming workshops »
Getting your Data Ready and Introduction to SPSS:
Covers the first stages of using SPSS to create a data set and describe the data. Data and best practices of creating a database within SPSS are discussed including ways in which data are described through numerical and graphical representations. Workshop Resources »
Basic Analysis in SPSS: Covers data analysis, the second stage of using SPSS. A review of descriptive statistics and other methods of data exploration using Crosstabulations, Inferences on the mean, Regression and ANOVA is provided. Participants are encouraged to bring data that they are analyzing in class or projects to discuss what methods would be best to use. Workshop Resources »
Advance Methods in SPSS: Covers some of the more advanced techniques used for survey research such as factor analysis, validity analysis, and multiple factorial designs. Prerequisite: SPSS 2 or prior know of using SPSS. Workshop Resources »
Summer Series 2011: Data preparation and analysis can seem confusing and daunting. This workshop
will take participants through the process of preparing data to actual analysis
in SPSS. Participants are welcome to bring their own data or work with an
existing sample data set. Workshop Resources »
Pallant, J. (2010). SPSS Survival Manual: A step by step guide to data analysis using SPSS (4th ed.). New York, NY: Open University Press.
Ho, R. (2006). Handbook of Univariate and Multivariate Data Analysis and Interpretation with SPSS. Boca Raton, FL: Chapman & Hall/CRC.