FASS639d: Qualitative Data Analysis with NVivo 11 (distance learning)
This workshop introduces students to working with NVivo to support them throughout the stages of qualitative research and analysis as well as using the software to support annotating, critically reviewing, synthesising and integrating research literature into their project. Students will be introduced to the tools and ways of working to support data management, recording their developing ideas, keeping a research journal and working with data including annotating, coding, linking and exploring both textual and multimedia data. This is then extended to explore using the powerful search, query and visualisation tools to further analysis and connect this to writing their thesis.
On successful completion of this module students will be able to:
- demonstrate familiarity with the main features and concepts of the qualitative data analysis software package NVivo and how these relate to concepts and approaches in qualitative data analysis
- critically consider their data and project and how they can use NVivo software to support them in preparing, managing, analysing, and securing diverse forms of qualitative data
- understand what data segmentation and coding processes are, how these work with software and how they can be applied to their project
- use software visualisations as ways to decompose, explore and present data dynamically
- appreciate software proficiency as a transferable skill and including routes for accreditation as an NVivo student or professional trainer as well as some of the ways that NVivo is used beyond academia.
Module Structure/Delivery Pattern
Preparation (1 hour) and two sessions 2 x 3.5 hours every other week (7 hours). Recordings and self-study resources available afterwards.
- NVivo 11 and the assistance it can provide as well as its limits for supporting qualitative data analysis.
- Using the interface, and key concepts such as nodes, case nodes, sets, and attributes
- Project management, document preparation, with a particular focus on transcript preparation as well as data organisation and security.
- Core programme features and how these relate to the process of qualitative data analysis including reading/viewing data, annotating it and writing emerging thoughts.
- Auto-coding transcripts and creating ‘case’ codes.
- Coding processes and code lists.
- Visualisation tools as ways to decompose and explore data dynamically.
- Ways of working with multimedia, as well the challenges and requirements of transcript formatting for synchronising transcripts, and coding video and audio.
- Relationships of cases, attributes and making comparisons.
- Creating node hierarchies.
- Using the analysis tools including using the query wizard, and matric queries.
- Using more advanced query options.
- Connecting writing to data outputs using the memo tools and memo output options and how these can be incorporated into writing and presentations.
- Routes for transferable skills through certified student and professional routes and the use of this software beyond academic research.
Attendance at CAQDAS session of FASS510: Qualitative Research Methods or accessing recorded session.
Bazeley, P. (2013). Qualitative data analysis : practical strategies. London: SAGE.
Bazeley, P., & Jackson, K. (2013). Qualitative data analysis with NVivo. London: SAGE.
Bryman, A. (2012). Computer-assisted qualitative data analysis: using NVivo Social research methods (pp. 564-589). Oxford: Oxford University Press.
Gibbs, G. R. (2013). Using Software in Qualitative Analysis. In U. Flick (Ed.), SAGE Handbook of Qualitative Data Analysis (pp. 277-294): SAGE Publications Ltd.
Silver, C., & Lewins, A. (2014). The Nature of Software Support for Research Projects Using software in qualitative research : a step-by-step guide (2nd ed. ed., pp. 35-60). Los Angeles: SAGE.
Woods, M., Macklin, R., & Lewis, G. K. (2015). Researcher reflexivity: exploring the impacts of CAQDAS use. International Journal of Social Research Methodology, 1-19.
Timing and location
24/05/17 and 07/06/17
Number of sessions:
2 x 3.5 hour sessions
Timing and Location:
Wednesdays, weeks 25 and 27
Minimum quota: 1
Maximum quota: 100