NVivo for Qualitative Data Analysis
Date: 17 October 2019 & 18 March 2020
Instructor: Patty Dornan
Fee: £195 (£140 for those from educational, government and charitable institutions).
CMI offers up to five subsidised places at a reduced rate of £60 per course day to research staff and students within Humanities at The University of Manchester. These places are awarded in order of application.
Humanities PGR students at The University of Manchester can apply for a methods@manchester bursary to help cover their costs. All applications will be considered on a case-by-case basis and applicants will be required to provide a supporting statement from their supervisor.
Please click here to make a booking. If you are applying for a subsidised place, select the £60 University of Manchester option on the booking form. For queries about methods@manchester bursaries, contact email@example.com (please note, you must have a confirmed place on the course before requesting a bursary application form). For any other queries about short courses, please contact firstname.lastname@example.org.
Please note: this is not guaranteed and is considered on a case by case basis. Please contact us for more information.
This course introduces NVivo as a data management tool.
The structure of the training session will be a combination of formal presentation alongside the practical application. Those attending the training session will have access to data sets for practical sessions and can also bring their own data to use in the practical parts of the session. Among the techniques we teach are: coding, adding attributes, queries, models, and charts.
The various uses of NVivo will be presented and discussed. Included will be working in teams, adding in notes, importing files, and using NVivo for managing literature. Examples of qualitative and mixed methods research will be presented to showcase how NVivo can be used to manage large amounts of various data.
- To explore basic, intermediate and advanced menu options in NVivo.
- To produce queries, word clouds, and models that help with the analysis of qualitative data.
- To analyse qualitative data in a transparent, reproducible way so that teams can work on the database.
No prior knowledge of NVivo is needed; however, the course would be suitable as a refresher. Some knowledge of qualitative methods including thematic analysis would be helpful, though not necessary.
- Bazeley, Patricia, and Kristi Jackson, eds. Qualitative data analysis with NVivo. Sage Publications Limited, 2013.
- O’Cathain, A., E. Murphy, and J. Nicholl (2010) “Three Techniques for Integrating Data in Mixed Methods Studies”, British Medical Journal,341: doi: 10.1136/bmj.c4587
- Creswell, John W., and Vicki L. Plano Clark. "Principles of qualitative research: Designing a qualitative study." Office of Qualitative & Mixed Methods Research, University of Nebraska, Lincoln (2004).
About the instructor
Patty Doran is a Research Associate in the Cathie Marsh Institute for Social Research at The University of Manchester.
Patty’s current research interests centre on health, inequalities, social support and the life course and using mixed methods to address complex research questions.
After graduating from the University of Otago, New Zealand, with a degree in Maori Studies and a graduate diploma in Community and Family Studies, Patty moved to Australia and worked for the Australian Government. Prior to starting her PhD at The University of Manchester, Patty worked for Manchester City Council as a community-based project manager.