Introduction to SPSS (DSCRP) [Dutton Park]
This is a DSCRP course and places are highly limited. If you are unable to attend, please de-register (or email graduateresearchschool@uq.edu.au if you are unable to do so). An unexplained absence could result in all your future DSCRP registrations becoming Waitlisted.
This hands-on workshop offers a practical introduction to SPSS, one of the most widely used tools for statistical analysis. Whether you're new to data analysis or looking to build confidence in using SPSS, this session will guide you through the essentials—from importing and managing data to performing basic statistical tests.
Who should attend
This workshop is ideal for researchers and professionals across all disciplines who are new to SPSS and want to learn how to use it for basic data analysis and reporting. While the focus will be on a clinical example, the skills taught are applicable to a wide range of research areas.
By registering, you are consenting to the release of your name and email address to DSCRP for attendance purposes. Full attendance is expected.
Note: that this will be an in-person workshop held at Dutton Park campus.
Learning Outcomes
- Import data from external sources into SPSS
- Clean, manage, and transform datasets
- Create visual summaries including plots, tables, and figures using the SPSS GUI
- Perform basic inferential statistical tests
Workshop Topics
- Introduction to the SPSS
- Importing and Preparing Data
- Data Cleaning and Management
- Creating Derived Variables and Transformations
- Descriptive Statistics and Data Visualisation
- Introduction to Statistical Testing
Please refer to UQ SPSS Statistics page for more information on accessing the SPSS Premium edition.
About Research software and programming
Library workshops
The library offers a range of training workshops under the headings below including:
R with RStudio Excel for research data NVivo Pro
Useful links
- Library's software training resources
- Software carpentry: The open-source movement to teach basic lab skills for research computing.
- REDCap consortium: A secure web application for building and managing online surveys and databases. UQ is a member of the consortium
- Posit Cheatsheets for R
- RCC supports Hacky Hour UQ, which is currently being held online. Hacky Hour is a weekly meetup, held Tuesdays, 1pm–2pm (AEST), for UQ researchers to ask research-related technical issues to do with:
- High-performance computing
- cloud computing
- virtual machines
- data storage
- data security
- data cleanup
- automated workflows
- data pipelines
- virtual desktops
- Python
- R
- Linux
- Software and Data Carpentry
- Bioinformatics.
When: Hacky Hour UQ occurs each Tuesday, 1pm–2pm (AEST). Occasionally, it is cancelled if no RCC and Data Science CRP experts are available that day.
Where: Hacky Hour will be held via Zoom video conference. For Zoom meeting details please email rcc-support@uq.edu.au.
Any questions? Email rcc-support@uq.edu.au.