Methods: Quantitative Data Analysis in Learning & Teaching Scholarship
Methods: Quantitative Data Analysis in Learning & Teaching Scholarship
Learning Enhancement & Academic Development Service
Date: Thursday 19 March 2020
Time: 12:00 - 14:00
Venue: Teaching Room, Southpark House
Category: Academic events
Speaker: Dr Charalampos Chanialidis , Dr Mitchum Bock, Dr Michael McEwan
Website: www.glasgow.ac.uk/leads/events
A majority of scholarship projects use qualitative data whereas quantitative data is often overlooked, perhaps due to the diversity of disciplinary backgrounds of those conducting teaching and learning research. This session will try to demystify data analysis methods that are often intimidating to non-statisticians.We will introduce various free online resources, including:
- interactive applications that perform data visualisation and statistical modelling, all built using the open source statistical computing software “R”
- materials that allow anyone to start learning and/or grow in confidence using some of the most common statistical techniques.
Please bring a laptop/tablet for this session.
We would also like to know about the type of data you might already be collecting, and the type of analysis you plan to use or the research question(s) you hope to answer. If this is relevant to you, please let us know on the booking form.
This session is open to staff of the University of Glasgow. Graduate Teaching Assistants are welcome to register for the purpose of developing their own teaching practice, but please note that these sessions are not suitable for any students seeking training for their own PhD research projects. Contact your School for information on the research methods training available to you as a student. For the avoidance of doubt as to eligibility, it would be helpful if you could please register using your staff email address.
Tea and coffee will be available.