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Advanced NVivo

Monday 21 May, 2018 @ 5:00 pm - Wednesday 23 May, 2018 @ 7:00 pm

$167 – $387

Advanced NVivo 11

Learn how to use NVivo, the world’s leading program for qualitative data analysis.

NVivo provides a set of advanced coding tools for qualitative data analysis. Learn how to make your research experience better by navigating, coding, queering and visualising your messy research materials and save time in generating high-quality research.

This is the only comprehensive on-site training course for NVivo on campus at the University of Melbourne. In this advanced workshop split into two sessions, you will learn advanced NVivo skills. The workshop assumes that participants can create a project, import sources and code them and use classifications and attributes. The approach is hands-on with some flexibility in what we cover according to needs.

Who should attend:
The workshop assumes basic computer skills, and prior knowledge of NVivo. It also assumes that participants have some knowledge of qualitative methods, but does not follow any particular methodological path. The approach is hands-on with some flexibility in what we cover according to needs.

How the course will run:
The course is split into two 2 hour sessions, and will take place according to the following times:

  • Monday 21 May @ ERC e-learning studio 5pm-7.00pm
  • Wednesday 23 May @ ERC e-learning studio 5pm-7.00pm

The Windows version of NVivo:
The course is run in the ERC e-Learning studio at Parkville with Windows computers, so there is no need to bring your own laptop, unless you want to follow along using Mac. The workshop is geared to Windows users, however, as the Mac version of NVivo is still limited with regard to advanced features and modules.

The course is best taken when you have your data and are ready to code it, but the course offers practical learning and a handbook is provided. There’s no need to bring your own data as a training set will be provided. Those who wish to use their own data will need to have some thematic coding trees and some classified case nodes with attributes.

Learning Outcomes:
By the end of the two advanced sessions participants will be able to:

  • Use the Framework tool
  • Run queries to seek and verify patterns in their data
  • Use visualisations
  • Use the reporting tools

Try NVivo before you come:
Want to try NVivo before you attend the info session? Consult the University of Melbourne’s Library Guide for information on free site licenses for graduate students and download your free trial today.

Your presenter:
Helen Marshall learned how to wrestle with qualitative data during her PhD. Her supervisor, Lyn Richards was the co-creator of NVivo software.  Helen has used NVivo in research projects since its inception.  She has worked with researchers using the software in faculties as disparate as Social Science, and Forestry. On retiring from her teaching position in 2006, she became an associate of RMIT’s Centre for Applied social Research. There she has continued to use NVivo in her own research, trained NVivo users and acted as consultant on projects, while  running training workshops at  universities including Melbourne, Victoria University, Deakin and RMIT and at institutions like Peter MacCallum clinic and the Brotherhood of St Laurence. She convenes the Qualitative interest Group (QIG) a loose collection of people interested in qualitative research of all kinds that  meets at RMIT on the first Tuesday of each month for conversation around a pre-set topic concerned with  the joys and woes of qualitative research.

By registering and paying for this shortcourse, you are committing to attendance.

If you fail to attend without notifying us of compelling reasons we reserve the right to limit your attendance to other programs at GSA. Please read the program terms and conditions.

The charge for this subsidised program covers some of the presenter’s fees. By paying it you are generously helping support GSA and sponsoring more programs for graduate students.

If you have any queries please email programs@gsa.unimelb.edu.au.


Monday 21 May, 2018 @ 5:00 pm
Wednesday 23 May, 2018 @ 7:00 pm
$167 – $387
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Graduate Student Association


eLearning Studio, Eastern Resource Centre (ERC)
Eastern Resource Centre, University of Melbourne
Parkville, Victoria 3010 Australia
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