Introduction to SPSS (DSCRP) [St Lucia]
This is a DSCRP course and places are highly limited. If you are unable to attend, please de-register (or email graduateschool@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.
Recommended Participants
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.
Note: that this will be an in-person workshop held at St Lucia 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 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
- RStudio cheat sheets
- Hacky Hour (supported by RCC, QCIF, IMB and wonderful volunteer helpers!): RCC runs consultations every Tuesday at Cafe Nano. Come and ask IT questions such as: getting started with Python and R, stats, machine learning, bio-image, software tools, research data management (RDM), how to access high performance computing, cloud data storage and tools for data cleaning and data visualisation. Bring your project's IT problems or come along as a helper! Very occasionally Hacky Hour may not run; follow us on Twitter (@HackyHourStLuc) to get the latest announcements. Aside from the usual IT research questions,
- First Tuesday of the month: Bioinformatics Hacky Hour, ask bioinformatics analysis, software and pipeline questions
- Last Tuesday of the month: BioLab Hacky Hour, ask about experimental design and technical sample processing questions to get started in the lab