Install the app
Install this application on your home screen for quick and easy access when you’re on the go.
Just tap then “Add to Home Screen”
Install this application on your home screen for quick and easy access when you’re on the go.
Just tap then “Add to Home Screen”
Menu
Install this application on your home screen for quick and easy access when you’re on the go.
Just tap then “Add to Home Screen”
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
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.
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:
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:
3 credits Engage fully with class activities
4 credits Complete a post-class assignment
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.
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.
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.