Meta-Analysis in Action: Techniques for Data Extraction and Synthesis [St Lucia]
Ready to take the next step in your meta-analytic review journey? This advanced, small-group workshop is designed for researchers who are actively preparing or conducting a meta-analysis. This intensive session will guide you through data extraction procedures, calculating and interpreting a range of effect sizes and handling study heterogeneity through meta-regression within R Studio. With a focus on real-time practice using your own or a provided dataset, whether you’re refining your meta-analysis plan or working with your results, this workshop will equip you with the tools and confidence to run and report multi-level meta-analyses.
Note: Prior attendance at " Beyond the Basics: A Practical Guide to Systematic Reviews and Meta-Analyses" and familiarity with R are strongly recommended.
Presented by Dr Sarah Coundouris, Research Fellow, Faculty of Health, Medicine and Behavioural Sciences and Dr Amy Rouse, Senior Lecturer, School of Education
You must attend at least 75% of the session otherwise you may be marked absent
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.