This workshop is aimed at providing researchers with essential skills in using NVivo software. Those choosing to enrol in this course will be working on or about to embark on a research project. The course assumes no prior skills with using NVivo, however will cater for all levels of participants, from novice to advanced users.
Due to the demand, this is the second offering of NVivo essentials, (previous course August 27-28).
This course is being held online via Zoom and run on Australian Eastern Standard Time (GMT +10)
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.
1. BOOKING - ACSPRI does not accept ‘expressions of interest’ for course places, i.e. all bookings, are considered firm, and a cancellation fee is charged if you cancel your booking after the early-bird date.
2. DISCOUNT RATE – The discounted rate for ACSPRI members is available to all staff and students of member organisations. To be eligible for this rate:
The course fee must be paid by either the member organisation or by you. Where fees are paid by a non-member organisation the non-member rate applies.
You must either have a valid email address issued by the member organisation; or you must hold, or have a right to hold, a current staff or student identity card from the member organisation.
In addition, to be eligible for a full time student discount the participant must:
Hold, or have a right to hold, a current student identity card from the member organisation;
Be enrolled as a full-time student;
Make payment in full with your application, arrange electronic funds transfer (EFT), or contact ACSPRI to advise credit card details for payment, by the early-bird closing date;
Provide ACSPRI with contact details of your supervisor, so we can request them to confirm your eligibility for the full time student rate.
The early bird rate applies to all bookings paid in full by the early bird close date, otherwise you will be charged at the standard rate.
3. REFUNDS & CANCELLATIONS - Course fees are not refundable unless:
we cancel the course in which you have enrolled; or
you cancel your enrolment before the early-bird closing date.
A cancellation fee of $250 will be charged if you cancel within the period from the early-bird closing date of and one week prior to the commencement of the program. The full course fee will be charged if you cancel within 1 week of the beginning of your course.
4. PRE-REQUISITES - Course descriptions specify course pre-requisites. You must undertake to meet the pre-requisites of the course(s) in which you enrol. If in any doubt, you should contact ACSPRI prior to enrolling.
Delivery of this course is online - via Zoom.
Please ensure you have the following:
- Reliable Internet connection with at least 5Gb per day of data available (i.e. a 5 day course will use about 25Gb of data just on the Zoom application)
- A computer/laptop with the Zoom application installed (free)
- A webcam (built in to most laptops)
- A headset with a microphone (not required but ideal)
- A second monitor/screen if possible
Please also check the course page for specific software requirements (if any).