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Monday 3 ꟷ Friday 7 August 2020
2 hours of live teaching per day
Courses will be either morning or afternoon to suit participants’ requirements
This seminar-type course provides a highly interactive online teaching and learning environment, using state of the art online pedagogical tools. It is designed specifically for a demanding audience (researchers, professional analysts, advanced students) and is capped at a maximum of 12 participants so that the Instructor can cater to the specific needs of each individual participant.
This course teaches you strategic understanding and applied skills in planning, conducting, and reporting the process of qualitative data analysis (QDA) in one’s research. The course combines theory, applied exercises and demos in NVivo.
3 credits Engage fully with class activities
4 credits Complete a post-class assignment
Marie-Hélène is a highly regarded methodologist who has NVivo Certified Platinum Trainer status. She has shared her expertise in qualitative data analysis with over 60 universities and research centres around the world, including Qatar and Iran. Since 2009, Marie-Hélène has been teaching introductory and advanced courses in qualitative data analysis at the ECPR Methods School. Her areas of methodological interest include qualitative evidence synthesis, decolonising epistemology, and participatory methodologies. Marie-Hélène is dedicated to advancing the field of qualitative data analysis and sharing her knowledge with others.
Are you planning to conduct interviews or focus groups for your data collection, or perhaps collect policy papers or social media data from blogs, Facebook or Twitter?
If you do any of the above, you will soon or later have to confront and analyse your compiled data.
But will you know how?
This course will give you a strategic understanding of, and applied skills in, planning, conducting and reporting qualitative data analysis. It addresses central issues often omitted in mainstream qualitative textbooks, such as:
In learning the foundational concepts underlying the process of QDA, you will become cognizant of:
The course, which uses NVivo, explores these topics and more and puts them into practice in hands-on sessions. You are encouraged to use NVivo, or another qualitative software of your choice, provided you are adept in its use.
The course combines pre-course tasks, such as readings which will be provided beforehand and pre-recorded videos, as well as live lectures, where the Instructor and participants will interact in real-time.
Apps that support online learning management systems (LMS) such as Google Docs, Slack and Asana, also feature in the course's pedagogy.
This course assumes no previous knowledge of qualitative data analysis or NVivo, but requires basic understanding of qualitative research. Only the basic features of NVivo will be taught.