20 Apr Qualitative data analysis with NVIVO (Video lecture via ZOOM)
20/04/2020 - 22/04/2020
9:00 am - 5:00 pm
methodology course | level: beginner
registrations and venue via Ghent University
This course teaches NVivo for qualitative data analysis (day 1-2) and how to use NVivo for qualitative content analysis and a thematic analysis (day 3). It is the course you need if you want to use NVivo from a methodological standpoint and guide your software practice by the key concepts of qualitative data analysis such as sampling procedures, code generation, coding scheme development and seeking patterns across codes, themes and cases.
The first two days of the course focus on learning the basic and advanced features of NVivo for any qualitative analysis. You will learn to prepare data in Word and Excel, create an NVivo project and organise a dataset, relate different epistemologies with theories in the social sciences and choose your corresponding methodologies and methods of qualitative analysis, distinguish between approaches to coding qualitative data, seek patterns and identify relationships inductively and deductively, generate hypotheses and second-level constructs, present findings using visualisations and prepare an audit trail that accounts for the decisions and steps taken during the analysis process.
On the third day of the course you will learn to conduct a qualitative content analysis (Schreier, 2012) and a thematic analysis (Boyatzis, 1998) in NVivo. We will begin with qualitative content analysis and explore when is the method relevant and appropriate in a qualitative study and review its main differences with quantitative content analysis. We will then move in NVivo and implement the method’s eight steps which consist of (1) deciding the research question, (2) selecting the material, (3) building the coding frame, (4) choosing the coding unit, (5) trying out the coding frame, (6) evaluating the coding frame, (7) doing the analysis and (8) presenting the findings. The morning will conclude by looking at the convention displays when presenting the findings of a qualitative content analysis in published qualitative studies.
The afternoon of day 3 focuses on thematic analysis. Amongst the different approaches to thematic analysis, Boyatzis’ is one of the very few who proposes a clear set of procedures on how to code and analyse data thematically. We will first look at the concepts of pattern recognition and consistent labeling which are fundamental in Boyatzis’ understanding of how a theme is recognised in the data and consistently ascribed the same meaning over time. We will review the different ways that codes may be generated using a theory-driven, research-driven, data-driven or a hybrid-driven approach. We will then move in NVivo and implement the four stages of the method known as (1) seeing themes, (2) encoding themes, (3) code development and (4) data analysis. We will end the day looking at the best (and worse) practices when published a thematic analysis in qualitative studies.
Video lecture via Bongo Virtual Classroom
PhD's and postdocs of a Flemish university: free
Other academics: €150*
Non-profit : €250*
Private/Public sector: €500*
*Because of the coronavirus crisis, we will deliver this course through tele-teaching. We are hereby offering a 20% reduction in the course fee. Other academics will now pay €120 in place of €150, those from Non-profit organisations will pay 200 instead of 250 and those from the public and private sector will only pay €400 in place of €500.
Although no previous knowledge of NVivo is required, participants should have some familiarity with qualitative research.
This course is entirely hands-on. Participants work with sample data, although they may work on their own data for the last hour of the course.
- Bazeley, P. and Jackson, K. (2013). Qualitative Data Analysis with NVivo (2nd ed.). London: Sage. Chapter 1: Perspectives: Qualitative computing and NVivo.
- Bazeley, P. and Jackson, K. (2013). Qualitative Data Analysis with NVivo (2nd ed.). London: Sage. Chapter 2: Starting out, with a view ahead.
- Bazeley, P. (2009). Analysing Qualitative Data: More Than Identifying Themes.
Malaysian Journal of Qualitative Research, 2(2), 6-22.
- QSR International. NVivo Getting Started Guide.