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Monday 18 – Friday 22 July 2022
2 hours of live teaching per day
16:00 – 18:00 CEST
This seminar-type course provides a highly interactive online teaching and learning environment, using state of the art online pedagogical tools. It is designed 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.
You will learn how to use NVivo for conducting four methods of qualitative analysis that are very popular, and widely used, in the social sciences:
On the last day we look at method integration, that is, the possibility to integrate components of the four methods in a single study.
By the end of this course, you will be able to:
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.
This course provides you with advanced understanding and applied skills in conducting qualitative content analysis (Schreier, 2012), thematic analysis (Boyatzis, 1998), cross-case analysis (Miles and Huberman, 1994) and grounded theory (Strauss and Corbin, 1998) using NVivo.
It fills a critical gap in scholarly literature and graduate training by providing step-by-step guidance in how to choose sampling, code data, conduct analysis and present findings of the four methods in a CAQDAS environment.
The first four days are dedicated to the four methods, during which we review each method’s epistemological foundations and sampling requirements. We then proceed in NVivo and implement each method’s coding procedures, pattern-seeking techniques and visualisation styles.
On the last day, we look at the possibility of integrating different components of the five methods in a single study, thus illustrating the promises, but also the potential pitfalls, of method integration.
The course ends with a workshop where you will critically review the criteria published thus far in the qualitative literature for assessing the quality of qualitative analysis. You will put forward recommendations for reporting this phase of qualitative research in theses or articles.
Outside class hours, you will be able to discuss the course content with the teaching assistant, and troubleshoot any problems you might have.
The course combines pre-course assignments, such as readings which will be provided beforehand, and pre-recorded videos, as well as daily two-hour live lectures in Zoom, where you will interact with the Instructor and fellow participants in real time.
To prevent Zoom fatigue and boredom, 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 course content.
This is an advanced course. To follow it successfully, you must have a solid conceptual grounding in the foundations of qualitative analysis, and be an advanced NVivo user – meaning that you can teach a crash NVivo course to colleagues. In class, you should be able to create codes and relationships, work with cases and attributes, create sets, run queries, generate maps and set-up framework matrices independently. The course Introduction to NVivo in week one will give you the basis to successfully follow this course.
The course uses the latest version of NVivo R.1 for Mac and Windows. You must run this version to successfully attend the course as previous versions (10 or 12) have different interfaces. If this is your situation, or if your university does not provide you with an NVivo license, you can download the NVivo 14-day free trial. The free trial is fully operational, but can't be reinstalled on a same computer once it expires.
For Mac users: please note that NVivo R.1 for Mac does not currently have all the features of NVivo for Windows. If you are a Mac user and want to learn all the features taught on this course, you must attend using a PC.
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.