Introduction to NVivo

About

Discover NVivo and learn to manage, code, and analyse qualitative data for academic research, public policy, and non-profit organisations in this introductory course.

Need to Know

Although no previous knowledge of NVivo is required, you must be familiar with qualitative research.

The course uses NVivo 14 for Windows / Mac. You must run this version, or version R1 from 2020 which looks the same, to attend the course. Do not attend the course with version 10 or 12, as these have different interfaces and menus. To obtain NVivo, please download the NVivo 14-day free trial if your university does not provide you with a license. The trial is fully operational but can't be reinstalled on the same computer once it has expired.

Warning for Mac users: NVivo 14 for Mac currently does not have all the functionalities of NVivo 14 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. Running a virtual machine, such as Parallels, on your Mac will allow you to run Win OS, given that your Mac has the right specifications.

In depth

Key topics covered

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

In this comprehensive introduction, you will learn the added value of using NVivo 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 textual and visual data in NVivo
- conduct your literature review and generate summaries
- autocode structured data and code for themes inductively
- work with cases and sets for comparative analysis
- seek patterns, identify relationships and explain outcomes
- present your results with evocative visualisations
- provide a transparent account of your analysis in thesis and articles

The course combines short lectures and hands-on exercises during which you use sample data to learn NVivo’s functionalities. Outside live sessions, you will have the opportunities to work on your own data or articles of your literature review, if you have not yet collected data.

This course provides a solid foundation for Advanced Qualitative Data Analysis in the summer programme.

How the course will work online

The course combines asynchronous pre-class assignments, such as readings, quizzes and problem-solving tasks, as well as daily three-hour live sessions with Zoom. The live sessions’ pedagogy is built around a rich and diverse mix of online teaching techniques such as elevator pitch, talk-to-text technique and debates. With the help of the teaching assistant, you will have the opportunity to troubleshoot any issue you may have regarding the analysis of your data in NVivo.

You can book on to the course here: https://ecpr.eu/Events/Event/PanelDetails/15543

Course leader

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.

Target group

This course offers an interactive online learning environment using advanced pedagogical tools, and is specifically designed for advanced students, researchers, and professional analysts.

Course aim

Purpose of the course

This course offers a comprehensive introduction to NVivo for qualitative research from the stage of conducting literature review up to visualising qualitative findings. You will learn to:

-set up an NVivo project and organise data
- work with interviews, focus groups and documents
- conduct your literature review effectively
- autocode structured data and code for themes inductively/li>
- tease out hypotheses and generate new ones from the data
- seek patterns, identify relationships and explain outcomes
- illustrate your results with evocative 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.

If you're interested in this course, you can register for it here: https://ecpr.eu/Events/Event/PanelDetails/15543

Fee info