Qualitative Data Analysis with NVivo - Jenine Beekhuyzen, Pat Bazeley

Qualitative Data Analysis with NVivo

Buch | Hardcover
384 Seiten
2024 | 4th Revised edition
SAGE Publications Ltd (Verlag)
978-1-5296-2642-1 (ISBN)
149,60 inkl. MwSt
Straightforward and insightful, this is the go-to book for any qualitative researcher who wants to use NVivo to conduct robust data analysis. 
Looking to use NVivo in your qualitative research? With easy-to-use instructions and screenshots for both Windows and Mac users, this book first covers the basics of coding in NVivo before helping you extend your knowledge and confidence using the software. 


But this is more than just a ‘how to’ software manual. Each chapter offers rich, methodological discussions that interweave qualitative thinking with technology, enabling you to develop a sophisticated research practice.



Starting with how to navigate the software before moving on to different types of data you might use - such as text, images, and social media data - and how to code and visualise that data, each chapter helps you develop your skill in using NVivo to support effective qualitative analysis.


The book also:




Helps you understand why and when to use NVivo tools and how to combine them creatively;
Includes a new chapter on visualising and reporting on your data using NVivo;
Provides practical support for using NVivo 14, including fully updated screenshots, click-by-click instructions, screencast videos, and datasets for you to try what you’ve learned. 


Designed for anyone who wants to use NVivo in their research, this book is the go-to for conducting robust qualitative data analysis.

Jenine Beekhuyzen OAMhas more than 20 years of experience working with NVivo and its predecessors, using it for her own doctorate, and training thousands of doctoral students and others to use it for systematic literature reviews and empirical data analysis. Having created and led the NGO Tech Girls Movement Foundation for a decade, based on 20+ years of research on the lack of women in STEM, Jenine now creates community through Research Central, her online community of practice helping doctoral students fast track their research. She shares her expertise in qualitative research, having collaborated for decades with universities, governments and industry and as an active, highly published honorary academic at prestigious universities with honorary roles at the University of Queensland, the University of Technology Sydney, and Griffith University. She has more than 65 peer reviewed academic publications, and, among other accolades, was awarded an Order of Australia Medal in 2020 for her contributions to information technology, and to women. Pat Bazeley is Director of Research Support P/L and Adjunct Professor in the Translational Research and Social Innovation Centre at Western Sydney University. Since graduating in psychology, she has worked in community development, as an evaluation researcher, and in academic research development. For almost 30 years Pat has been providing research training and project consulting to academics, graduate students and practitioners representing a wide range of disciplines across Australia and internationally. Her particular expertise is in helping researchers to make sense of qualitative, survey, and mixed methods data, and to use computer programs for management and analysis of data. Pat’s research has focused on qualitative and mixed methods data analysis, the development and performance of researchers, and the wellbeing of older women. She has published books, chapters, and articles on mixed methods and qualitative data analysis. She serves on the Editorial Board of the Journal of Mixed Methods Research and was 2015–2016 President of the Mixed Methods International Research Association.

Chapter 1: Where to begin?
Chapter 2: Navigating NVivo
Chapter 3: Teamwork
Chapter 4: Literature and interview text-files
Chapter 5: Working with pictures, audio and video
Chapter 6: Working with demographics, surveys, and social media files
Chapter 7: Coding foundations
Chapter 8: Cases, classifications and comparisons
Chapter 9: Coding beyond basics
Chapter 10: Querying data
Chapter 11: Visualisations and reporting on patterns in your data

Erscheinungsdatum
Verlagsort London
Sprache englisch
Maße 170 x 242 mm
Gewicht 810 g
ISBN-10 1-5296-2642-0 / 1529626420
ISBN-13 978-1-5296-2642-1 / 9781529626421
Zustand Neuware
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