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Introduction to NVivo

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 24 – Friday 28 July 2023
Minimum 2 hours of live teaching per day
08:30 ꟷ 10:30 CEST

Marie-Hélène Paré

This course offers an interactive online learning environment using advanced pedagogical tools, and is specifically designed for advanced students, researchers, and professional analysts. The course is limited to a maximum of 16 participants, ensuring that the teaching team can address the unique needs of each individual.

Purpose of the course

This course teaches the basic and advanced features of NVivo for qualitative data analysis. You will learn to:

  • set up an NVivo project and organise data
  • import text, multimedia and internet data
  • annotate and cross-reference sources of literature reviews
  • autocode data and code data inductively
  • transform qualitative data into findings
  • present qualitative findings using visualisations

Important information: This course does not teach how to use NVivo for specific qualitative methodologies or analytic methods, such as thematic analysis, qualitative content analysis, cross-case analysis or grounded theory. For that, you need 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.


Key topics covered

This course targets researchers who will use NVivo to manage, code and analyse qualitative data in the context of academic research, public policy and not-for-profit applied research.

You will learn the added value of using qualitative software to manage large amounts of data efficiently, triangulate different data sources seamlessly, improve the auditability of your research and conduct your analysis in a rigorous and transparent manner.

The course is structured around four modules that follow the logical sequence of a qualitative process. You will learn to:

  • import and organise qualitative data in NVivo
  • import literature reviews and assign meta-data
  • annotate and cross-references PDF
  • autocode structured data and code data inductively
  • create cases and work with variables
  • transform qualitative data into findings
  • present findings using visualisations
  • report the analysis process in theses or articles

The course is entirely hands-on. You will be provided with sample data to learn NVivo's functionalities. Outside live sessions, you will be able to work on your own data, or articles of your literature review if you have not yet collected data. With help from the Teaching Assistant, you will be able to troubleshoot any problems you might have with regard to your analysis in NVivo.

This course is a good preparation for Advanced Qualitative Data Analysis in week two or in week three.

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.

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

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

For Mac users: Neither NVivo R1 or 14 for Mac has all the features of NVivo for Windows. If you want to learn all the features taught on this course, you must attend using a PC.