NVivo is computer software package produced by QSR International that supports qualitative and mixed methods research. It has been designed for researchers working with text-based and/or multimedia information, (including interviews, open-ended survey responses, picture/audio/video data, articles, social media and web content), where analysis on small or large volumes of data are required.
Course structure:
Day 1:
9.30am - 11.00am: Zoom session (overview)
11.00am- 11.15am: Break
11.15am- 12.45pm: Zoom session (exercises incl.)
12.45pm- 1.45pm: Lunch
1.45pm - 3.15pm: Zoom session (exercises incl.)
3.15pm - 3.30pm: Break
3.30pm - 4.30pm: Zoom: Question/answer/revision
Day 2:
9.30am - 11.00am: Zoom session
11.00am- 11.15am: Break
11.15am- 12.45pm: Zoom session (exercises incl.)
12.45pm- 1.45pm: Lunch
1.45pm - 3.15pm: Zoom session (exercises incl.)
3.15pm - 3.30pm: Break
3.30pm - 4.30pm: Zoom: Question/answer/revision
Dr Anuja Cabraal is an experienced qualitative researcher, and a global certified platinum trainer of NVivo. Dr Cabraal has close to 20 years of research experience, has been a trainer for over a decade, and has taught qualitative research methods at both an undergraduate and postgraduate level. They have worked and consulted on projects in a wide variety of sectors including, Royal Commissions, Not-For-Profit, Business, Government, Higher Education as well as across a variety of disciplines including, (but not limited to), business, sociology, development, architecture, law and learning and teaching.
The course assumes no prior skills with using NVivo, however will cater for all levels of participants, from novice to advanced users. The focus is on developing the essentials skills from NVivo through hands-on experience. Sample data will be provided, however those with their own data will be accomodated and encouraged to advance their 'real' projects.
This training will be conducted using the Windows platform software only. NVivo for Mac are welcome, but must be aware that all demonstrations will be provided in Windows. This course will be run using NVivo version 12. Participants will be expected to have NVivo installed on their own device.
Content will include:
Part I: Introduction to the software and data management.
Opening the software and setting up a new project. Creating, importing and managing text-based data (Word, pdf and online content from NCapture), annotations, memos, as well as creating cases and case classifications.
Part II: Analysing text-based data.
Coding techniques and analytic processes. Using text analysis tools including coding, auto coding, text search and word frequency queries. Managing nodes, merging, moving and restructuring coding.
Part III: Data analysis, Coding structures.
Techniques on setting up your coding structure, working with your codes, identifying what coding techniques will best suit your research.
Part IV: Using Multimedia sources of data.
Importing, transcribing, coding and managing multimedia-based data such as images, audio and video files.
Part V: Queries, visualisations and exploring your data
Identifying ways to further explore your codes, find patterns and further explore your data, including relationships between codes and themes. Looking at different ways to visualise your data through various tools in NVivo such as charts, models and graphs.
This training will be conducted using the Windows platform software only. NVivo for Mac are welcome, though please be aware that all demonstrations will be provided in Windows. Participants will be expected to have the latest version of the software installed on their own device.
This course will use the NVivo 12 version of the software. If you don't have a copy, we will be in contact re: installing a trial version.
If you are using a laptop belonging to your workplace, it will be essential that you install all your updates before attending the course, as you may not have the authorisation to install software outside of your work environment.
Basics research methods knowledge. Familiarity with Windows based computer environments.
- Bazeley, P. & K. Jackson. (2013). Qualitative Data Analysis with NVivo (Second Edition). London: Sage.
- Miles, M. B., A. M. Huberman & J. Saldana. (2013) Qualitative Data Analysis: A Methods Sourcebook (Third Edition). Thousand Oaks: Sage.
- Richards, L. (2014). Handling Qualitative Data: A Practical Guide (Third Edition). London: Sage.
- Saldana, J. (2016) The Coding Manual for Qualitative Researchers (Third Edition). London: Sage.
Helped me to understand features of NVIVO. Also how I can use it for my research project.
The main plus was I know many features which I can now look up in documents and videos to remeber how to do them.
Much of the content will be directly related to the work I do.