NVivo is computer software package produced by Lumivero that supports qualitative and mixed methods research. It has been designed for researchers working with very rich 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:
This course will run across 3 x 1/2 days:
- 9.30am - 11.45am: Zoom session
- 11.45am- 12.15am: Break (approximately)
- 12.15pm- 1.30pm: Zoom session
This course is being held online via Zoom and run on Australian Eastern Standard Time (GMT +10)
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 workshop is aimed to provide researchers with essential skills in using NVivo software. Those choosing to enrol in this course will be at the data collection or analytical stages of their research project*.
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 participants will have time at the end of each day to work with their own data.
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 training will be conducted in the new version of NVivo which was released in March 2020. This version is sometimes known as NVivo 20, NVivo 1 or simply NVivo.
*For those in the early stages of your research, please refer to the NVivo for a Literature Review course
Day 1
- Introduction to the software
- Getting a tour of the interface, a showcase of the main features of NVivo, with a detailed look at a complete project within the software.
- Setting up a project and working with documents in NVivo
- Opening the software and setting up a new project. Saving a project, creating a new project, and importing documents.
- Data analysis, Coding structures
- Coding techniques and analytic processes. Managing nodes, merging, moving and restruc-turing coding. Techniques on setting up your coding structure, working with your codes, identifying what coding techniques will best suit your research.
Day 2
- Managing and structuring your data
- Creating cases and case classifications, working with annotations and memos.
- Importing different sources of data including surveys and multi-media
- Importing, managing, and coding data such as PDF’s, images, audio, video, web content and survey data.
- Working with multi-media and surveys in NVivo
- Exploring ways to work with multimedia, adding notes and comments, creating cases and classifications with survey data. Using Word Frequency Queries.
Day 3
- Queries
- Identifying ways to further explore your codes, find patterns and further explore your data, including relationships between codes and themes. Using queries such as Word Frequency, Text Search, Coding and Matrix Coding.
- Visualisations and exploring your data
- 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 training will be conducted in the new version of NVivo which was released in March 2020. This version is sometimes known as NVivo 20, NVivo 1 or simply NVivo. If you don't have a copy, we will be in contact with a link to download a 14-day free trial version, which you can download & install just before the start of the course.
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.
I already had experience with NVivo, so I was a bit concerned that the course would have been too basic. However, the detailed explanations of the different tools available in NVivo, were really useful to improve the way I use the software and conduct qualitative research.
The focus was on learning a qualitative software program so I think the balance of orientation, practical examples and then having time to work on your own was done very well.
Anuja was an excellent and knowledgeable presenter, and I was thankful that she answered all of my questions.
I loved the course - the small group size, mix of participants from both academic as well as professional areas and a rockstar of a trainer who knew the program inside out but more importantly how it could aid and enhance our qualitative research projects.
I appreciated the way Anuja shared excellent technical knowledge of Nvivo, and situated it in the context of both theoretical approaches to research and real world projects. As well as the 'how to' Nvivo, there was 'why' you would want to use it and why you might not, depending on your research questions.
Anuja did a fantastic job and this is one of the best courses I have ever attended. Every piece of information learnt was highly informative and relevant.
Very relevant to apply the skills for my upcoming qualitative research project.
I learned a lot about features I didn't know NVivo had.
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.