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, articles, social media and web content), where deep levels of analysis on small or large volumes of data are required.
This workshop is aimed to provide the novice with essential skills in using NVivo software for research purposes. The focus is on developing the essentials skills from NVivo through hands-on experience. This 2 day course is being held in ACSPRI's Melbourne office.
This workshop is aimed at providing the novice with essential skills in using NVivo software for research purposes. The course assumes no prior skills with using NVivo.
Associate Professor Linda Sweet is academic nurse and midwife. She has 20 years of qualitative research experience and has been providing training and consultation in the use of QSR software including NVivo for over 16 years. Her research interests include sexual and reproductive health, midwifery practice, and education. Linda is an active supervisor for numerous research higher degree students and is also deputy editor of the international journal Women and Birth.
The workshop is aimed to provide the novice with essential skills in using NVivo software for research purposes. 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, including coding.
The course assumes no prior skills with using NVivo. The focus is on developing the essentials skills from NVivo through hands-on experience. This training will be conducted using a Windows platform. NVivo for Mac users will be accommodated, but the demonstrations will be given in Windows. Participants will be expected to have 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.
Part II: Analysing text based data.
Coding techniques and analytic processes. Using text analysis tools including coding, autocoding, text search and word frequency queries. Managing nodes, merging, moving and restructuring coding.
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 and NCapture.
Part IV: Queries, visualisations, exploring and reporting your data
Running coding queries, creating charts, graphs and models. Exploring and reporting data and analysis.
This hands-on training will be conducted using a Windows platform. NVivo for Mac users will be accommodated, but the demonstrations will be given in Windows.
Participants will be expected to have the latest version of NVivo installed on their own device. A 14 day free trial is available through QSR International if you don't have a copy. Plese 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.
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