An excellent resource for both undergraduate and postgraduate qualitative researchers.
This text encourages critical thinking as well as providing detailed practical support – an essential resource.
A clearly structured reference guide. With each chapter, Jackson and Bazeley provide conceptual grounding that frames the step-by-step instructions and handy takeaway ideas. The colour coding of platform-specific instructions for both Windows and Mac users and the authors' commitment to providing an up to date, step by step online guide to the software mean this book is a rich resource for readers.
Jackson and Bazeley showcase their state-of-the-art expertise in NVivo through this well organized, meticulously cross-referenced text. It is a reader-friendly introduction to the functions and features of the software and provides insightful, detailed guidance for researchers integrating data collection and analysis with digital technology.
Qualitative Data Analysis with NVivo is a valuable reference for anyone undertaking computer-assisted qualitative data analysis. Whether a novice or experienced researcher, the book walks you through step-by-step how to apply the tools of NVivo to a vast array of qualitative methods. Its strength lies in the detailed methodological explanations and examples – not just technical how to. This enables researchers to learn how to apply the NVivo tools to their research and not let the software drive the research.
Grounded in theory and with a clear structure, this book is ideal for students and researchers wanting to use NVivo in their projects. The many functions of NVivo are clearly explained with interesting, practical examples – the perfect project companion.
A well written book and an excellent resource
This is a very good resource for students and teaching
A great up to date text for NVivo. Contains helpful information concerning the latest software functionality. Well written in accessible language for undergraduate students. A must read for all users of NVivo.
This is supporting source for gradute students in social sciences.
This uis useful for research students who wish to do qualitative analysis using NVivo. It is clear and helpful.
A clear and informative resource for all using NVivo to engage in data analysis, very helpful and easy to follow.
This is a good book, especially important for research methods for UG students, and advanced QL research methods at PGT level. I will adopt it as a suggested reading rather than essential reading given the specific focus on NVivo. This does not mean, though that this book is absolutely fantastic!
This is an essential guide for anyone planning to use NVivo as part of their data management and analysis. NVivo is a valuable tool for qualitative analytic work, adding a level of organisation and control in the research process and being particularly useful for teamworking, as it offers a clear view of analytic coding for formal reliability checks or for reaching agreement through a consensus approach.
It amends my introduction to NVivo for those who wish to go deeper into qualitative data analysis using NVivo.
This is a wonderful text, providing students with excellent "hands-on" guidance. I have adopted it for use the next time I teach Qualitative Research in Lesley University's Doctoral program.
The third edition fundamentally revises and improves on the excellent previous version bringing this up to data and including the Mac version. It's expansion of working with mixed methods is particularly welcome.
As ever Pat Bazeley's text is clear and concise whilst Kristi's hard-won and extensive experience shines through in non-prescriptive advice and recommendations.
An essential read for those seeking to truly master the potential and grapple with the resulting complexity of QSR's NVivo.
The book is well organized and makes the qual analysis easier
I have used the previous version of this text and find significant improvements in the 3rd edition. The layout and imagery makes the journey through nVivo clear and enjoyable. I will be recommending it to my students.