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Discover ECPR's Latest Methods Course Offerings

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Advanced Qualitative Data Analysis

Course Dates and Times

Monday 7 ꟷ Friday 11 February 2022
2 hours of live teaching per day
14:00 ꟷ 16:00 CET

VIR: This is a virtual course

Marie-Hélène Paré

The Qualitative Analyst

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 12 participants so that the Instructor can cater to the specific needs of each individual.

Purpose of the course

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:

  • qualitative content analysis
  • thematic analysis
  • cross-case analysis
  • grounded theory

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:

  1. Describe the aim, objectives, and expected outcomes of the above four methods
  2. Demonstrate how each method suits a given research question
  3. Implement each method’s coding and analysis procedures in NVivo
  4. Generate graphic displays that match each method’s style
  5. Appraise the quality of qualitative studies that used the four methods
  6. Propose situations where methods integration is feasible.
ECTS Credits

3 credits Engage fully with class activities 
4 credits Complete a post-class assignment

Instructor Bio

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. 

Read more about Marie-Hélène.

Key topics covered

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.  

How the course will work online

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 the Instructor and participants will interact 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 participant engagement with the course content.

This is an advanced course. To follow it, you must have a solid conceptual grounding in the foundations of qualitative analysis, and experience in coding and analysing data in NVivo.

The latter includes creating codes and relationships, working with cases and attributes, creating sets, running a matrix coding query, generating a project map, building a framework matrix and running cluster analysis.  

The course uses the latest version of NVivo (version R1) for Mac and Windows. NVivo 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. Download the 14-day free trial of NVivo for Mac or Windows.

Each course includes pre-course assignments, including readings and pre-recorded videos, as well as daily live lectures totalling at least two and a half 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.

Online courses

Live classes will be held daily for two and half 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.


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.