NVivo Courses

NVivo is a software program for qualitative data analysis. It is a powerful platform that supports a vast range of data that includes text, multimedia, social media, libraries from reference manager software, emails from Outlook and notes taken using Evernote and OneNote. NVivo is equipped with a number of tools for automatically coding structured data, as well as functionalities that keep researchers close to the data when these have to be coded manually and inductively. NVivo supports a range of inductive and deductive methods for analysing qualitative data, including: thematic analysis; content analysis; within- and cross-case analysis; discourse, conversational and narrative analysis; grounded theory; analytical induction; and qualitative research synthesis.

I teach two NVivo courses designed to equip participants with the knowledge and skills necessary to effectively use basic and advanced features of this software in their own research projects. These skills include: preparing and cleaning data; importing and organising a dataset; managing a literature review; automatically and manually coding data; seeking patterns and identifying relationships; presenting results using graphic displays; coordinating teamwork; and generating an audit trail that evidences the analytical process from beginning to the end. The courses are delivered in either Windows or Mac version, although both versions can also be taught together on request.

Difference between the courses

The difference between the two NVivo courses — Introduction to NVivo and Qualitative Data Analysis with NVivo — lies in the time dedicated to software functionalities versus methodological content. Introduction to NVivo is designed for people who, although familiar with qualitative analysis, need to learn more about how NVivo can assist them in their research. Qualitative Data Analysis with NVivo covers the essential features of NVivo but also covers the key methodological notions underlying the qualitative analysis process. In the latter the topics covered include: the relationship between epistemology, methodology and qualitative analysis methods; different approaches to coding qualitative data; concepts that shape coding; techniques for seeking patterns and identifying relationships when working inductively, deductively and abductively; and the best (and worst) practices in reporting qualitative findings. This is the course you need if you are new to qualitative research and want to use a solid methodological basis in using NVivo.

Each course lasts two days and is taught using sample data, although participants will be able to work on their own data for about an hour in each course.

This course provides a comprehensive overview of NVivo for qualitative data analysis. By the end of the course, you will be able to:

• Organise a qualitative dataset in NVivo
• Manage a literature review
• Perform automated and manual coding
• Work with cases and variables
• Search for patterns across the data
• Present findings using visualisations
• Export data and share projects.

This course combines the essential features of NVivo with methodological content about what qualitative data analysis is and how it is conducted. By the end of the course, you will be able to:

• Relate epistemology, methodology and methods of qualitative analysis
• Organise a qualitative dataset in NVivo
• Learn the different approaches to coding qualitative data
• Use different techniques to seek patterns and identify relationships
• Generate hypotheses and create second-level constructs
• Present findings using visualisations
• Export data and share projects.