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Discover ECPR's Latest Methods Course Offerings

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Qualitative Data Analysis

Member rate £492.50
Non-Member rate £985.00

Save £45 Loyalty discount applied automatically*
Save 5% on each additional course booked

*If you attended our Methods School in July/August 2023 or February 2024.

Course Dates and Times

Monday 18 – Friday 22 July 2022
2 hours of live teaching per day
11:00 – 13:00 CEST


Marie-Hélène Paré

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 is capped at a maximum of 16 participants so that the Instructor can cater to the specific needs of each individual.

Purpose of the course

This course gives you a solid foundation and applied skills in qualitative data analysis. You will learn

  • the conceptual basis of a strong qualitative research design
  • different approaches to code qualitative data
  • techniques to seek patterns across themes and cases
  • strategies to present qualitative findings convincingly
  • tips to create a transparent audit trail of your analysis process.

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 in week one or in week two.

ECTS Credits

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

Instructor Bio

Marie-Hélène is a highly regarded methodologist who has NVivo Certified Platinum Trainer status. She has shared her expertise in qualitative data analysis with over 60 universities and research centres around the world, including Qatar and Iran. Since 2009, Marie-Hélène has been teaching introductory and advanced courses in qualitative data analysis at the ECPR Methods School. Her areas of methodological interest include qualitative evidence synthesis, decolonising epistemology, and participatory methodologies. Marie-Hélène is dedicated to advancing the field of qualitative data analysis and sharing her knowledge with others.

Key topics covered

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:

  • What influence does my ontological stance and epistemological position have on the method of qualitative analysis I will use in my study?
  • Can induction, deduction and abduction be combined when analysing qualitative data, or are they mutually exclusive?
  • What steps are involved in qualitative analysis?
  • After coding my data and sorting them into themes, how should I seek patterns and identify relationships in the data?
  • Should I use quotes or visualisations to present my findings?
  • What techniques should I use to establish the trustworthiness of my findings, so that they are seen as valid, reliable and objective?

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 troubleshoot problems with regard to your analysis with the teaching assistant, and present your analysis plan at the Masterclass. 

How the course will work online

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.

This course assumes no previous knowledge of qualitative data analysis or NVivo, but requires basic understanding of qualitative research.

This course only teaches the basic features of NVivo. For a comprehensive NVivo course, see Introduction to NVivo that will be taught in week one. 

This 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.