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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 the last calendar year, you qualify for £45 off your course fee.

Course Dates and Times

Monday 31 July – Friday 4 August 2023
Minimum 2 hours of live teaching per day
08:30 ꟷ 10:30 CEST

Marie-Hélène Paré, course instructor for Qualitative Data Analysis at ECPR's Research Methods and Techniques
Marie-Hélène Paré

info@mariehelenepare.com

This online course offers a dynamic and interactive learning experience, utilising advanced pedagogical tools. It is tailored to a challenging audience of researchers, analysts, and advanced students, with a maximum of 16 participants to allow for personalised attention from the instructor.

Purpose of the course

This course teaches a solid foundation and applied skills in qualitative data analysis. You will learn to:

  • develop your research design according to your epistemology
  • choose the right method of analysis for your study
  • code your data using the appropriate approach 
  • explore techniques to transform qualitative data into findings
  • apply key rules (and avoid pitfalls) to present qualitative results convincingly
  • create a solid audit trail of your analysis process.

Blending theory and practice, you will use NVivo software for the hands-on exercises. This course is a good introduction for Advanced Qualitative Data Analysis. 

ECTS Credits

4 credits - Engage fully in class activities and 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.

@TheQualAnalyst

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 ontology have on the method of analysis of my study?
  • Can induction, deduction or abduction be combined when analysing qualitative data, or are they mutually exclusive?
  • What does qualitative analysis actually involve? How is it done?
  • After I code my data and identify broad themes, what should I do?
  • Should I use quotes to illustrate my findings or visualisations like models, tables, matrices or charts?
  • What should I include in the appendix so my work is judged valid, reliable and objective?

You will explore these topics and more and get to put them into practice during hands-on sessions using NVivo.

You'll be able to work on your own data, discuss your research design and, with help from the Teaching Assistant, troubleshoot problems with your analysis. You can also present your analysis plan at the Masterclass. 

How the course will work online

The course combines asynchronous pre-class assignments, such as readings and pre-recorded videos, as well as daily two-hour live sessions with Zoom. 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 content.

A basic understanding of qualitative research is required, however, previous knowledge of qualitative data analysis or NVivo is not required. 

This course teaches only NVivo's basic features. For a comprehensive NVivo course, take our Introduction to NVivo course.

You must run the latest versions of NVivo (R1 or 14) to attend the course as earlier versions (10 or 12) have different interfaces and menus. If your institution does not provide you with an NVivo license, you can download the NVivo 14-day free trial. The trial is fully operational but can't be reinstalled on the same computer once expired.