Fr. 70.00

Doing Qualitative Data Analysis with NVivo

English · Paperback / Softback

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Description

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This open access textbook provides an introduction to the software program NVivo, the most widely used qualitative analysis program. It is a versatile program with an extensive range of accessible analysis tools, flexibly deployable in the diversity of qualitative analysis approaches.
Qualitative analysis is almost standard practice today with the help of a software program. Yet there are many misunderstandings about qualitative software. They support the qualitative researcher but never take over their manual and theoretical work. An in-depth understanding of the possibilities of a qualitative software program helps to free up time for the analysis itself.
The possibilities of NVivo in this book are approached from a researcher's perspective. That is precisely why gaining efficiency in using the software tools gets a prominent place in the chapters. The author examines basic skills, such as managing data, working with memos and coding qualitative data. This includes textual data (such as transcripts from interviews and focus groups) and audiovisual material (sound, video and images). The book also discusses more advanced analysis tools, such as case coding, queries, AI tools, matrices and models (maps).
This textbook is intended for all users of NVivo, both early career researchers and more advanced analysts, who want to further discover the secrets of this software package along the way.

List of contents

Chapter 1. A guided tour in qualitative research.- Chapter 2. A guided tour in qualitative data analysis.- Chapter 3. A quick tour of NVivo.- Chapter 4. Getting started 1: installing and configuring NVivo.- Chapter 5. Getting started 2: The workspace and jargon of NVivo.- Chapter 6.  Setting up your project: primary data management.- Chapter 7. Working with memos.- Chapter 8. Thematic coding.- Chapter 9. Coding with classifications.- Chapter 10. Exploring coded data.- Chapter 11. Organising your project: secondary data management.- Chapter 12. Querying (coded) data.- Chapter 13. Visualising data with maps.- Chapter 14. Reporting and exporting data.- Chapter 15. Using NVivo in Focus Group research.- Chapter 16. Using multimedia material (photos, sound and videos).- Chapter 17. Using social media in NVivo.- Chapter 18. NVivo in Mixed Methods studies.- Chapter 19. NVivo and AI: (semi)-automatic coding.- Chapter 20. Using NVivo in team projects.- Chapter 21. Doing a literature review with NVivo.- Chapter 22. Bibliography.- Index.

About the author

Dimitri Mortelmans is Senior Full Professor in Sociology at the Faculty of Social Sciences of the University of Antwerp (Belgium). He is head of the Centre for Population, Family and Health (CPFH). Mortelmans holds an ERC Advanced Grant and (co-)leads different data infrastructure projects (Divorce in Flanders, Share Flanders, The Social Study). His research concentrates on family sociology and social demography. He has published on divorce, newly constituted families, gendered labour careers and singlehood. On qualitative methodology, he published the Handbook of Qualitative Research Methods (in Dutch). In demography, he (co-)edited Changing Family Dynamics and Demographic Evolution. The Family Kaleidoscope, Lone parenthood in the Life Course, Divorce in Europe, and the Research Handbook of Partnering in the Life Course.
 

Product details

Authors Dimitri Mortelmans
Publisher Springer, Berlin
 
Languages English
Product format Paperback / Softback
Released 17.09.2024
 
EAN 9783031660139
ISBN 978-3-0-3166013-9
No. of pages 282
Illustrations XVI, 282 p. 215 illus., 171 illus. in color.
Series Springer Texts in Social Sciences
Subjects Social sciences, law, business > Sociology

Artificial Intelligence, Wahrscheinlichkeitsrechnung und Statistik, Open Access, Sociological Methods, Methodology of Data Collection and Processing, NVivo, Qualitative Analysis Software, Analysing multimedia data, Analysing social media, Analysing textual data, Literature Review, Qualitative Data Analysis

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