Using Software in Qualitative Research
A Step-by-Step Guide
- Christina Silver - University of Surrey, UK, Qualitative Data Analysis Services, UK
- Ann Lewins - Qualitative Data Analysis Services (QDAS)
This book considers a wide range of tasks and processes in the data management and analysis process, and shows how software can help you at each stage. In the new edition, the authors present three case studies with different forms of data (text, video and mixed data) and show how each step in the analysis process for each project could be supported by software.
The new edition is accompanied by an extensive companion website with step-by-step instructions produced by the software developers themselves. Software programmes covered in second edition include the latest versions of:
- ATLAS.ti
- DEDOOSE
- HyperRESEARCH
- MAXQDA
- NVivo
- QDA Miner
- TRANSANA
Supplements
Free resources on the companion website:
- Case study sample data
- Step-by-step software guides for ATLAS.ti, Dedoose, HyperRESEARCH, MAXQDA, NVivo, QDA miner and Transana
- Illustrations from the book
This book is essential reading for anyone navigating the complex and exciting terrain of qualitative data analysis software. Silver and Lewins emphasize the importance of data preparation; being familiar with one’s software program before starting analysis; and being reflective, methodologically purposeful, and fluid in how one uses the available features of a given program.
This is a timely update to the best volume of its kind. Christina Silver and Anne Lewins have brought their detailed and uniquely balanced account of the landscape of qualitative research, and the functions of software therein, into sharp contemporary focus. This is not only an invaluable practical guidebook for newcomers to CAQDAS, but also an essential reference text for the more seasoned qualitative researcher.
The new edition is extraordinarily authoritative and seriously useful, detailed yet unfailingly interesting. It brings methodological goals and software possibilities together in a more accessible and lively way. With thorough and practical website resources it will be an essential reference for anyone wondering about software use - and that of course is everyone doing qualitative research.! It confronts the reader firmly with the challenges and complexities of qualitative work and the power, mixed offerings and sometimes considerable limitations of existing software. It's so carefully written, and the authors' voices are so clear, that it encourages, steadily explains and assists. The authors' enthusiasm and unique experience and knowledge of the field shine through, so against all odds for such a technical work, this book is a bloody good read!
This book is recommendable for all researchers and practitioners in different scientific fields – psychology, sociology, literature, etc. – for all who deal with qualitative and mixed methods for data processing, interpretation and presentation.
This publication is an impressive and exhaustive undertaking (with a book, three data sets consisting of many different types of data, and detailed instructions for seven CAQDAS programs), particularly given the depth, breadth, and ever changing nature of this field. The authors are to be commended for tackling this very challenging topic... Researchers who choose to both immerse themselves in the book and take advantage of the online resources and related exercises will be richly rewarded.
This is an outstanding introduction to an integral aspect of doing qualitative research using a range of software. Critical, engaging, challenging but ultimately informative and supportive.
Good guidance for qualitative analysis supported by software. Useful for researchers and students engaged in qualitative surveys.
Out of date and confusing. Several CAQDAS products are discussed side-by-side, so not easy to follow.
A very useful introduction to the key software for qualitative data analysis. The focus is on introducing these tools in a practical & simplified way. I will be adding to my reading lists.
Thorough and comprehensive, much updated since the the previous version, Title is accurate and appropriate; it is a step-by-step guide, essential reading for any student considering using software for analysis