9am - 5pm
Monday 21 January - Wednesday 23 January 2019
Computer-assisted qualitative and mixed methods data analysis: Harnessing NVivo
This course provides a comprehensive overview of the role of NVivo in the analytic workflow, it’s architecture and available tools, and instruction in how to harness it powerfully for analytic tasks.
Qualitative and mixed methods researchers are increasingly making use of advanced computer software packages to enhance the research process and facilitate more in-depth, multi-layered analytic approaches. NVivo is one of the leading Computer Assisted Qualitative Data AnalysiS (CAQDAS) packages designed to facilitate the range of qualitative and mixed-methods analysis. It is widely used to undertake literature reviews, systematise analyses, aid transparency, make projects portable and work in teams. NVivo facilitates the management and analysis of text, spreadsheet, pdf, image, social media, audio and video data, making it a relevant tool for flexible work across disciplines and sectors.
This course provides a comprehensive overview of the role of NVivo in the analytic workflow, it’s architecture and available tools, and instruction in how to harness it powerfully for analytic tasks. This workshop is framed by the Five-Level QDA® method, a CAQDAS pedagogy designed to enable researchers to develop the expertise they need in NVivo, whatever the research objectives and methodology.
We begin with familiarising with NVivo, by focusing on software components, and the actions that can be taken on them to fulfil analytic tasks. Participants will then plan their analysis and be guided through the process of translating their analytic tasks into software tools. Throughout the course participants will use their own research data, or sample data, and the course tutors will illustrate how to harness NVivo using a range of different types of research projects.
Indicative content includes:
- Differentiating analytic strategies and software tactics
- NVivo features, components and tools
- Analytic planning in the context of NVivo use
- Setting up an NVivo project to reflect initial analytic design
- Representing conceptual frameworks using maps
- Strategies for using NVivo to undertake a literature review
- Exploring data qualitatively and quantitatively: word frequency, text search and annotations
- Conceptualising qualitative data: coding, memoing, linking
- Organising data to factual characteristics: cases, attributes, sets & search folders
- Identifying patterns, relationships and anomolies using query and visualisation tools
- Representing and reporting on findings
On successful completion of this course, participants will be able to:
- Distinguish and separate analytic strategies and software tactics (T)
- Have an appropriate mind-set for harnessing NVivo’s tools (C,K)
- Have a detailed understanding of the architecture, functioning and flexibility of NVivo (K,P)
- Develop technical and practical skills in the use of software for qualitative analysis (P,T)
- Be able to translate analytic tasks into NVivo tools using the Five-Level QDA method (C,P)
- Be able to critically evaluate the strengths and weaknesses of the QDA approach (C/K)
- Communicate their process and findings (T,P)
Key: C-Cognitive/Analytical; K-Subject Knowledge; T-Transferable Skills; P- Professional/ Practical skills
Sarah L Bulloch, PhD, is a social research methodologist with expertise in quantitative, qualitative and mixed data analysis. Sarah has 10 years’ experience using and teaching the range of CAQDAS programs, including NVivo, and supporting individuals and teams to implement their analytic strategies using their chosen software program. She has conducted research and managed teams in an academic, public and charity environment and is a certified and accredited Trainer of NVivo, Teaching Fellow at the CAQDAS Networking Project at the University of Surrey and an Associate of QDA Services Ltd, a social research consortium.
Christina Silver, PhD, has over 20 years of experience in using NVivo and other computer assisted qualitative data analysis programmes for many different types of projects, across academic disciplines, and in applied, government and commercial contexts. She particularly interested in the relationship between technology and methodology and improving the teaching of computer-assisted analysis. Her training focusses on harnessing NVivo powerfully, using the Five-Level QDA® method (www.fivelevelqda.com) which she developed with Nicholas Woolf. The Five-Level QDA method is not a new or different way of doing analysis, but a method of learning appropriate and powerful use of qualitative software whatever the methodology. Christina is Research Fellow at the University of Surrey where she manages the CAQDAS Networking Project and the co-directs the Sociology Day Courses Programme. She is Director of QDA Services Ltd.
Level of study
Entry (no or almost no prior knowledge)
Varies according to status:
- £595 - Government/commercial sector
- £495 - Educational/charitable sector
- £395 - Students.
Pre-course reading on principles of using NVivo, the basics of qualitative analysis, and the CAQDAS pedagogy used in this course (the Five-Level QDA® method):
- Woolf, N & Silver, C. (2018) Qualitative analysis using NVivo: The Five-Level QDA Method, Routledge.
- Chapters 2 & 7 of Silver C. & Lewins A (2014) Using Software in Qualitative Research: A Step-by-Step Guide, 2nd Edition. Sage Publications
- Silver, C & Bulloch S (2018) NVivo 12 Distinguishing features and functions, CAQDAS Networking Project.
Participants do not need to bring their own laptops, but they can if they wish. The course will run in a Windows computer lab. Should participants wish to work on a Mac, they must bring their own laptop with the latest version of NVivo 12 pre-installed and tested.
Participants on the course will include some students completing the MSc in Social Research Methods