Advanced Qualitative Data Analysis
When:
24 March - 28 March 2025
School:
Institution:
European Consortium for Political Research (ECPR)
Credits:
4 EC
Fee:
492,50 GBP

About
Prerequisite Knowledge
This is an advanced method and software course. You must possess a solid foundation in qualitative analysis and be an advanced NVivo user – meaning that you can teach a crash NVivo course to colleagues. 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.
Having experience in other qualitative software does not qualify you for the course.
The Introduction to NVivo course provides an introduction to NVivo. You will have to practise extensively what you will have learned to become an advanced NVivo user and be fit for this course. Likewise the course Qualitative Data Analysis provides introductory knowledge to the foundational concepts and processes of qualitative analysis. This introductory course must be combined with real experience in analysing qualitative data to follow this course satisfactorily.
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.
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 on this course, you must attend using a PC.
Learning commitment
As a participant in this course, you will engage in a variety of learning activities designed to deepen your understanding and mastery of the subject matter. While the cornerstone of your learning experience will be the daily live teaching sessions, which total three hours each day across the five days of the course, your learning commitment extends beyond these sessions.
Upon payment and registration for the course, you will gain access to our Learning Management System (LMS) approximately two weeks before the course start date. Here, you will have access to course materials such as pre-course readings. The time commitment required to familiarise yourself with the content and complete any pre-course tasks is estimated to be approximately 20 hours per week leading up to the start date.
During the course week, you are expected to dedicate approximately two-three hours per day to prepare and work on assignments.
Each course offers the opportunity to be awarded three ECTS credits. Should you wish to earn a 4th credit, you will need to complete a post-course assignment, which will involve approximately 25 hours of work.
This comprehensive approach ensures that you not only attend the live sessions but also engage deeply with the course material, participate actively, and complete assessments to solidify your learning.
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.
Day 1 – 4 are dedicated to the four methods, during which you will learn each method’s epistemological foundations and sampling requirements. Moving on to NVivo and implementing each method’s coding procedures, data transformation techniques and visualisation styles.
On Day 5, you will learn 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 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 live sessions, you will be able to discuss the course content, and troubleshoot any problems you might have.
Course leader
Marie-Hélène Paré
Target group
This course offers you an interactive online learning environment using advanced pedagogical tools, and is specifically designed for PhD students, postdoctoral researchers, and professionals. The course is limited to a maximum of 16 participants, ensuring that the teaching team can address the unique needs of each individual.
Course aim
This course teaches how to conduct four methods of qualitative analysis widely used in the social sciences using NVivo: qualitative content analysis, thematic analysis, cross-case analysis, and grounded theory. You will also learn how and when to combine different components of these methods in a single study, as well as the criteria to appraise the quality of qualitative data analysis.
By the end of this course, you will be able to describe the aim and objectives of each method, choose the right method to answer specific research questions, implement each method’s coding and analysis procedures in NVivo, generate visualisations for each method’s outcome, appraise the quality of qualitative studies that used the four methods, and assess situations where methods integration is feasible.
To find out more, please visit: https://ecpr.eu/Events/Event/PanelDetails/15623 Registration opens 01/10/24
Fee info
Fee
492,50 GBP, ECPR Member fee
Fee
985 GBP, ECPR Non-Member fee
Interested?
When:
24 March - 28 March 2025
School:
Institution:
European Consortium for Political Research (ECPR)
Credits:
4 EC