Understanding quantitative data and performing descriptive analyses (ISSR) [webinar]
This is an ISSR course and places are highly limited as Graduate School is paying the fee. 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 ISSR registrations becoming Waitlisted. You may only attend the workshop once. Repeat bookings will be removed and placed on the Waitlist.
The course will provide an understanding of types of data and data sources, types of variables and sources of variation. We will review summary statistics and introduce statistical analyses for examining group differences and relationships between variables. By the end of this course you should have a better understanding of the data you are, or will be, working with and a starting off point for exploring and analysing your data. The course has a focus on the types of data and descriptive analysis methods best suited to social sciences, and does not contain a software training component.
About Research design
The Graduate School has a range of sessions covering research methodolgy and methods delivered by esteemed providers such as ISSR.
Useful links
- Graduate School's recording of Expert panel on adjusting research during COVID held on 18 August 2020
- Sage Research Methods
- Join Sage’s Methodspace
- ISSR videos on research methods: Ethnographic approach, Evaluation methods, Mixed methods, Physiological measurement and observation method, Predictive risk modelling methods; Behavioural economics, experimental and quasi-experimental methods
- ISSR's MFSAS (Methods for Social Analysis and Statistics) courses
- Check out FREE self-paced onine research design and analysis courses with our EdX MOOC partners:
- National University of Singapore Quantitative and Qualitative Research for Beginners
- University of Endinburgh Introduction to Social Research Methods
- TUDelfts Multidisciplinary Research Methods for Engineers
- UQ's Introduction to Psychological Research Methods