The masterclass is an advanced course in qualitative data analysis for existing NVivo users. This 2 day course is being held in ACSPRI's Melbourne office.
The masterclass is an advanced course in qualitative data analysis for existing NVivo users.
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.
Those choosing to enrol in this course will be working on a research project of their own, or as part of a research team. They will be seeking to advance their knowledge and skills in higher-level data analysis, theory building, validating findings, and producing reports and accounts.
The course assumes basic mastery of skills in using NVivo for data management and analysis, including coding. It builds on these skills to equip users to undertake advanced data analysis, and to produce effective accounts of their research. The focus is on applying advanced tools from the NVivo tool kit to research in progress through hands-on experience.
When enrolling, participants will be asked to provide information about their current project, including an indication of aspects of NVivo they wish to learn more about. The final content of the
Potential content may include:
Part I: Advanced data analysis. Critiquing coding structures. Moving from descriptive coding to categorical, thematic, conceptual or theoretical coding. Exploring themes and patterns using advanced Queries, Similarity Diagrams, Tree Maps, Cluster Analysis and other exploration tools.
Part II: Testing hypotheses and establishing credibility. Posing questions to test the strength of emerging propositions and/or conclusions drawn from data analysis. Identifying ways of answering these questions using Queries and other exploration and visualisation tools in NVivo.
Part III: Building an account and writing your findings. Establishing criteria for good reporting by critiquing reports of current research that have used NVivo. Using NVivo’s tools for representing and reporting findings: mapping concepts, visualising and charting findings, generating reports, exporting material, and interfacing with other software including Microsoft Word, PowerPoint and Excel.
Completion of Applied Computer-assisted Qualitative Data Analysis using NVivo or equivalent tertiary course and experience with NVivo.
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.
The ACSPRI Head Office was previously located at 763 Heidelberg Road, Alphington