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Advanced Qualitative Data Analysis

Marie-Hélène Paré
info@mariehelenepare.com

Universitat Oberta de Catalunya

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.

 @TheQualAnalyst

Course Dates and Times

Monday 13 – Friday 17 February 2023
Minimum 2 hours of live teaching per day
11:00 – 13:00 CET

Prerequisite Knowledge

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 will give you sufficient knowledge to follow this course. 

This course uses the latest version of NVivo R1 for Mac and Windows. You must run this version to attend the course since previous versions (10 or 12) have different interfaces. 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 a same computer once it expires.  

Mac users must be warned that NVivo for Mac does not currently have all the functionalities of NVivo for Windows. If you are a Mac user and want to learn all the functionalities taught on this course, you must attend using a PC.


Short Outline

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.

Purpose of the course

Learn how to use NVivo for conducting four popular methods of qualitative analysis widely used in the social sciences:

  1. qualitative content analysis
  2. thematic analysis
  3. cross-case analysis
  4. grounded theory

On the last day, we look at method integration; that is, integrating components of the four methods into 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


Long Course Outline

Key topics covered

This course provides you with advanced understanding and applied skills in 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.

We dedicate Monday–Thursday to the four methods, during which you will 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, you will seek to integrate different components of the five methods into a single study, 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 in the qualitative literature to assess 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 and pre-recorded videos, as well as daily two-hour live lectures in Zoom, during which you will interact with the Instructor and fellow participants in real time.

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 course content.


Additional Information

Disclaimer

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.