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Introduction to NVivo

Course Dates and Times

Monday 15 ꟷ Friday 19 March 2021
This course is taking place twice in one day
09:00-11:00 and 15:00-17:00 CET

Marie-Hélène Paré

info@mariehelenepare.com

Institution:

This 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 teaching team (the Instructor plus one highly qualified Teaching Assistant) can cater to the specific needs of each individual.

Purpose of the course

This course will teach you how to use NVivo for the management, coding, analysis and visualisation of qualitative data. It follows the qualitative data analysis process in sequence, and covers how to:

set up a project and organise data
manage a literature review
code and analyse data
present qualitative findings.

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.

@TheQualAnalyst

This course is designed for those who intend to use NVivo to manage, code, and analyse qualitative data and present qualitative findings in articles, reports or theses.

It is the course you need if you are looking for training in using qualitative software that supports the research process from beginning to end.

The course is structured around four modules that address the following topics:

importing, organising and classifying data
managing a literature review
autocoding and inductively coding text, multimedia and social media data
mapping the coding process
seeking patterns and identifying relationships
presenting findings using visualisations
exporting data
sharing projects

The course is entirely hands-on and uses sample data to practise NVivo’s functionalities.

Please note This course does not teach qualitative data analysis in NVivo based on specific methods such as thematic analysis, content analysis, grounded theory, etc.

How the course will work online

The course combines pre-course tasks, such as readings which will be provided beforehand and pre-recorded videos, as well as live lectures, during which the Instructor and participants will interact in real-time.

Apps that support online learning management systems (LMS) such as Google Docs, Slack and Asana, also feature in the course's pedagogy.

Although no previous knowledge of NVivo is required, you should have some familiarity with qualitative research.

This course is for both NVivo for Windows and Mac.

Install the app