SPSS (Statistical Package for the Social Sciences) is a software program used by researchers in various disciplines for quantitative analysis of complex data. This introductory level SPSS workshop introduces SPSS environment, basic data preparation and management, descriptive statistics, and common statistical analysis (T-test, ANOVA, correlation, regression). Hands-on-activity with example data is provided to learn these basics. This workshop is a good start for people who are new to SPSS and help you harness this useful analysis tool. Join us for this workshop and start your data analysis with SPSS!
How to Create Statistical Analysis
Data Analysis Examples with IDRE - The IDRE (Institute for Digital Research & Education) provide hypothetical data in order to illustrate different statistical analysis techniques using different software packages.
What Statistical Analysis Should I Use? - A clear list compiling many of the statistical analysis tests, categorized by type of the independent variable(s) and dependent variable(s).
Need more help? You can also check out the "Help" tab within SPSS (when running the software). Look specifically for Tutorial, Case Studies, and Statistics Coach under the Help tab.
1. Creating a Categorical Variable
2. Selecting Variables
3. Split Files
4. Compute Variables
6. Describe a Continuous (Scale) Variable
8. Cross Tabulation
9. Student T-Test
10. Anova Test
12. Parametric and Non-Parametric Student T-Test
13. Parametric and Non-Parametric Anova Test
Koerner, Room 217, Computer Lab
SPSS, R, NVivo
Koerner Library, Room 218A, Data/GIS Lab*
ArcGIS Suite, SPSS, R, NVivo, and Stata
Woodward Library, Room B25, Computer Lab
SPSS, R, NVivo
For a more detailed description of our software, visit our Rooms & Software page.
* There is quiet conversation in this room during our consultation hours.