Install the app
Install this application on your home screen for quick and easy access when you’re on the go.
Just tap then “Add to Home Screen”
Install this application on your home screen for quick and easy access when you’re on the go.
Just tap then “Add to Home Screen”
Menu
Install this application on your home screen for quick and easy access when you’re on the go.
Just tap then “Add to Home Screen”
Monday 13 – Friday 17 February 2023
Minimum 2 hours of live teaching per day
08:30 – 10:30 CET
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 capped at a maximum of 16 participants so that the Instructor can cater to the specific needs of each individual.
This course gives you a solid foundation and applied skills in qualitative data analysis. You will learn
The course blends theory and practice, and uses NVivo software for the hands-on exercises. You can take this course on its own, or in preparation for Advanced Qualitative Data Analysis.
3 credits Engage fully with class activities
4 credits Complete a post-class assignment
Marie-Hélène teaches qualitative research methods at the Open University of Catalonia (UOC) and is a freelance methodologist in qualitative data analysis. She was educated in Quebec, Beirut and Oxford where she read social work. A clinician by training, she worked as a mental health officer in humanitarian missions for MSF, MDM and UNWRA in psychosocial aid programs for survivors of war trauma in East Africa and the Middle East. Her clinical work led her to research the harm that INGOs can do in the name of doing good when imposing Western paradigms in culturally and politically different contexts.
Marie-Hélène is an NVivo Certified Platinum Trainer and is a member of the NVivo Core Trainer Team who teaches the NVivo online courses. She is a sought-after methodologist who has taught qualitative data analysis in more than sixty universities and research centres worldwide, in countries including Qatar and Iran. Since 2009, Marie-Hélène has taught the introductory and advanced courses in qualitative data analysis at the ECPR Methods School and teaches similar courses at the IPSA-NUS Summer School in Singapore. Her methodological interests range from advances in qualitative data analysis, qualitative evidence synthesis, decolonising epistemology and participatory methodologies.
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? After you complete your data collection, you will sooner or later have to confront the mass of data you gathered and analyse your material.
But will you know how?
This course provides strategic understanding of, and applied skills in, planning, conducting and reporting qualitative data analysis in one’s research. You will learn the key concepts that underlie the process of qualitative analysis, which often go missing in qualitative research seminars, and are rarely discussed in mainstream qualitative methods textbooks, such as:
The course explores these topics and more, and puts them into practice during hands-on sessions using NVivo.
You will be able to work on your own data, discuss your research design and, with help from the Teaching Assistant, troubleshoot problems with your analysis. You can also present your analysis plan at the Masterclass.
The course combines asynchronous pre-class assignments, such as readings and pre-recorded videos, as well as daily two-hour live sessions with Zoom. To prevent Zoom fatigue, the course pedagogy includes small-group work, short, focused tasks and troubleshooting exercises using a range of online apps that support collective work and engagement with the content.
This course assumes no previous knowledge of qualitative data analysis or NVivo, but requires basic understanding of qualitative research.
This course teaches only NVivo's basic features. For a comprehensive NVivo course, take Introduction to NVivo.
This course uses the latest version of NVivo R1. You must run this version to attend the course as previous versions (10 or 12) have different interfaces. If your institution does not provide you with an NVivo license, you can download the NVivo R1 14-day free trial. The trial is fully operational, but can't be reinstalled on a same computer once it expires.
Each course includes pre-course assignments, including readings and pre-recorded videos, as well as daily live lectures totalling at least three hours. The instructor will conduct live Q&A sessions and offer designated office hours for one-to-one consultations.
Please check your course format before registering.
Live classes will be held daily for three hours on a video meeting platform, allowing you to interact with both the instructor and other participants in real-time. To avoid online fatigue, the course employs a pedagogy that includes small-group work, short and focused tasks, as well as troubleshooting exercises that utilise a variety of online applications to facilitate collaboration and engagement with the course content.
In-person courses will consist of daily three-hour classroom sessions, featuring a range of interactive in-class activities including short lectures, peer feedback, group exercises, and presentations.
This course description may be subject to subsequent adaptations (e.g. taking into account new developments in the field, participant demands, group size, etc.). Registered participants will be informed at the time of change.
By registering for this course, you confirm that you possess the knowledge required to follow it. The instructor will not teach these prerequisite items. If in doubt, please contact us before registering.