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in-Person

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

Course Dates and Times

Friday 10 – Saturday 11 February 2023
Minimum 5 hours of live teaching per day
09:30 – 12:00 and 13:00 - 15:30 CET

Marie-Hélène Paré

info@mariehelenepare.com

This course provides a highly interactive blended learning environment, using state-of-the-art online and in-person pedagogical tools. Prior to the live course, you will have access to online videos and tools to help us go deeper into the material during our live sessions. The course is designed for a demanding audience (researchers, professional analysts, advanced students) and capped at a maximum of 16 participants so that the teaching team can cater to the specific 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
organise data
manage your literature review
code data by themes
seek patterns and relationships
present findings with visualisations.

This course does not teach how to use NVivo for specific qualitative methodologies such as thematic analysis, discourse analysis, content analysis, grounded theory, etc. For that, you need Advanced Qualitative Data Analysis.

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

Key topics covered

This course is designed for researchers who plan to use NVivo to manage, code and analyse qualitative data in the context of academic research, public policy and for not-for-profit organisations.

This is the course you need if you want to 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 sequence of qualitative analysis process. You will learn to:

import and organise data in NVivo
manage your literature review
autocode data by themes
code data inductively
work with cases and variables
transform qualitative data into findings
present results using visualisations
report the process of analysis transparently.

You can take this course on its own, or in preparation for Advanced Qualitative Data Analysis.

The course is entirely hands-on and uses sample data to learn NVivo’s functionalities. It is suitable for NVivo for Mac and Windows version R1, although all demos will be made using NVivo for Windows. If your institution does not provide you with an NVivo 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 it expires.

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 taught on this course, you must attend using a PC.

Outside class hours, 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 also be able to troubleshoot any problems with your analysis in NVivo.

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

This course is suitable for NVivo for Mac or Windows version R1. If you run an earlier version of NVivo (version 12), you must install the 14-day free trial of NVivo R1 to be able to follow the course.

Install the app