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Monday 24 – Friday 28 July 2023
Minimum 2 hours of live teaching per day
08:30 ꟷ 10:30 CEST
This course offers an interactive online learning environment using advanced pedagogical tools, and is specifically designed for advanced students, researchers, and professional analysts. The course is limited to a maximum of 16 participants, ensuring that the teaching team can address the unique needs of each individual.
This course teaches the basic and advanced features of NVivo for qualitative data analysis. You will learn to:
Important information: This course does not teach how to use NVivo for specific qualitative methodologies or analytic methods, such as thematic analysis, qualitative content analysis, cross-case analysis or grounded theory. For that, you need Advanced Qualitative Data Analysis.
4 credits - Engage fully in class activities and 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 targets researchers who will use NVivo to manage, code and analyse qualitative data in the context of academic research, public policy and not-for-profit applied research.
You will learn the added value of using qualitative software to manage large amounts of data efficiently, triangulate different data sources seamlessly, improve the auditability of your research and conduct your analysis in a rigorous and transparent manner.
The course is structured around four modules that follow the logical sequence of a qualitative process. You will learn to:
The course is entirely hands-on. You will be provided with sample data to learn NVivo's functionalities. Outside live sessions, you will be able to work on your own data, or articles of your literature review if you have not yet collected data. With help from the Teaching Assistant, you will be able to troubleshoot any problems you might have with regard to your analysis in NVivo.
This course is a good preparation for Advanced Qualitative Data Analysis in week two or in week three.
The course combines asynchronous pre-class assignments, such as readings and watching pre-recorded videos, as well as daily two-hour live sessions with Zoom. 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.
Although no previous knowledge of NVivo is required, you should have some familiarity with qualitative research.
This course uses NVivo R1 or 14 version for Windows and Mac OS. You must run either version to attend the course since earlier versions (10 or 12) have different interfaces and menus. If your institution does not provide you with an NVivo R1 license, you can download the NVivo R1 14-day free trial. The trial is fully operational but can't be reinstalled on the same computer once expired.
For Mac users: Neither NVivo R1 or 14 for Mac has all the features of NVivo for Windows. If you 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.