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.
This 2 day course is being held in ACSPRI's Melbourne office.
NVivo is computer software package produced by QSR International 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 deep levels of analysis on small or large volumes of data are required.
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.
Dr. Jenine Beekhuyzen has 19 years of research experience with more than 65 peer reviewed publications. She is the Founder & CEO of Adroit Research working in a number of geographically dispersed research teams around the world and teaching qualitative research methods in many universities. She has an Honorary Fellow position at Deakin University and led a longitudinal research project over 10 years based on the Go Girl Go For IT bi-annual event hosted by Deakin. She has in an Adjunct Professor position at Griffith University, studying digital natives, digital literacy and social inclusion. Jenine also founded and runs the highly successful non-profit, the Tech Girls Movement, which increases the participation of women in Science, Technology, Engineering and Maths (STEM) industries, engaging girls to build apps to solve problems in their local communities.
The workshop is aimed to provide 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. They will be seeking to develop their knowledge and skills in computer assisted data management and analysis.
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. Participants will be expected to have the latest version of the software installed on their own device. A 14 day free trial is available through QSR International.
Content will include:
Part I: Introduction to the software and data management.
Installing, opening the software. Setting up a project and consideration of the design framework. Creating, importing and managing text-based data. Annotations, Memos, See-also links, NCapture will be described
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 will be described.
Part III: Using multimedia sources of data.
Importing, transcribing, coding and managing multimedia based data. Use of complimentary software packages including bibliographic packages with NVivo will be shown.
Part IV: Advanced data Analysis. Critiquing coding structure
Moving from descriptive coding to categorical, thematic, conceptual or theoretical coding will be described
Part V: Queries, visualisations, exploring and reporting your data
Testing hypotheses and establishing credibility. Posing questions to test the strength of emerging propositions and/ or conclusions drawn from data analysis will be discussed. Identifying ways of answering these questions using Queries and other exploration and visualisation tools in NVivo by running coding queries, creating charts, graphs and models will be explored.
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. Participants will be expected to have the latest version of the software installed on their own device.
A 14 day free trial is available through QSR International. Please don't open the trial version until just before the start of the course. Once (or if) you have NVivo installed, please check for the latest updates within the program.
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.
Please have Endnote installed on your pc, as using NVivo with Endnote will be demonstrated.
You will also need a copy of Micosoft Office.
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:and
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.
The ACSPRI Head Office was previously located at 763 Heidelberg Road, Alphington