Big qual : a guide to breadth-and-depth analysis / Susie Weller, Emma Davidson, Rosalind Edwards, Lynn Jamieson.
Weller, Susie.; Davidson, E. (Emma); Edwards, Rosalind.; Jamieson, Lynn, 1952-
2023
H62
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Title Big qual : a guide to breadth-and-depth analysis / Susie Weller, Emma Davidson, Rosalind Edwards, Lynn Jamieson.
Author Weller, Susie.
ISBN 9783031363245 (electronic bk.)
3031363248 (electronic bk.)
303136323X
9783031363238
DOI https://doi.org/10.1007/978-3-031-36324-5
Imprint Cham : Palgrave Macmillan, 2023.
Language English
Description 1 online resource
Other Standard Identifiers 10.1007/978-3-031-36324-5 doi
Call Number H62
Dewey Decimal Classification 001.42
Summary The ultimate guide for learning how to do big qualitative research. The rapidly expanding world of big data calls for new solutions to manage and analyse large volumes of qualitative data now becoming available to social scientists everywhereBig Qual will lead you on a rewarding quest to navigate qualitative data landscapes. Kathy A. Mills, Australian Catholic University, Australia The volume takes a unique approach to analysis and can be used as a methodological treatise grounded in empirical research, or the individual chapters as discrete modules in specific aspects of analysis. Malcolm Williams, Cardiff University, UK This approach offers readers a way to think about how to analyse big qualitative data in meaningful and theoretically grounded ways. Weller et al.s book will serve as an important guidepost as we increasingly encounter and work with big qualitative datasets. Jessica Nina Lester, Professor of Qualitative Methodology, Indiana University Bloomington, USA This upper-level textbook presents a new approach to large scale qualitative analysis the pioneering breadth-and-depth method. It covers the strengths and deployment of big qual as a distinct research methodology. The book will appeal to students and researchers across disciplines and methodological backgrounds. The growing availability of large qualitative data sets presents exciting opportunities. Pooling multiple qualitative data sets enhances the possibility of theoretical generalisability and strengthens claims from qualitative research about understanding how social processes work. Given the evolving possibilities that big data offers the humanities and social sciences, this book will be a must-have resource, building capacity and provoking new ways of thinking about qualitative research and its analysis. Susie Weller is Senior Research Fellow in the Clinical Ethics, Law and Society (CELS) research group and a Fellow of the Centre for Personalised Medicine, University of Oxford, UK. Emma Davidson is Lecturer in Social Policy and Qualitative Research Methods at the University of Edinburgh, UK and Co-Director at the Centre for Research on Families and Relationships, Scotland. Rosalind Edwards is Professor of Sociology and a Fellow of the National Centre for Research Methods at the University of Southampton, UK. Lynn Jamieson is Professor of the Sociology of Families and Relationships at the University of Edinburgh, UK and Co-Director at the Centre for Research on Families and Relationships, Scotland.
Bibliography, etc. Note Includes bibliographical references and indexes.
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Added Author Davidson, E. (Emma)
Edwards, Rosalind.
Jamieson, Lynn, 1952-
Available in Other Form ebook version : 9783031363245
Print version: 9783031363238
BIG QUAL.
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Intro
Foreword
About the Contributors
Preface
How to Use This Book
Resources
References
Acknowledgements
About the Book
Contents
About the Authors
Abbreviations
List of Figures
List of Tables
Part I: From Big Qual to the Breadth-and-Depth Method
1: The Place and Value of Large-Scale Qualitative Data Analysis
1.1 Introduction
1.2 What Is Big Data?
1.3 Big Data and Qualitative Research
1.4 Breaking Methodological Borderlines
1.5 Big Opportunities for Qualitative Research
1.6 In Search of Breadth and Depth

1.7 Big Qualitative Data Analysis
1.8 Computers, Computing, and Qualitative Data
1.9 Capabilities and Skills
1.10 Conclusion
1.11 Resources
References
2: Introducing the Breadth-and-Depth Method
2.1 Introduction
2.2 The Metaphorical Foundations of the Method
2.3 An Overview of the Four Steps
2.3.1 Step One: 'Aerial Surveying'-Overviewing the Qualitative Data and Constructing a Corpus
2.3.2 Step Two: 'Geophysical Surveying'-Approaches to Breadth Analysis Using 'Data Mining' Tools
2.3.3 Step Three: 'Test Pit Sampling'-Preliminary Analysis

2.3.4 Step Four: 'Deep Excavations'-In-Depth Interpretive Analysis
2.4 The Relationship Between Theory and Method
2.4.1 Deduction
2.4.2 Induction
2.4.3 Abduction
2.4.4 Retroduction
2.5 Benefits of the Method for Qualitative and Quantitative Researchers
2.6 Key Considerations
2.6.1 Epistemological Issues
2.6.2 The Nature of Data in the Breadth-and-Depth Method
2.6.3 Quality
2.6.4 Generalisability
2.7 Getting Started
2.8 Resources
References
Part II: An Enquiry-Led Overview of Qualitative Research Data Sets

3: Sourcing and Searching for Suitable Data Sets
3.1 Starting your Breadth-and-Depth Project
3.2 What Do We Mean by Qualitative Data?
3.3 Where Can I Find Data?
3.3.1 Introducing the Archive
3.3.2 Qualitative Archives-A Growing Infrastructure
3.3.3 Where Can I Find Archived Qualitative Data Sets?
3.4 Community Archiving
3.5 Problematising Archiving and Reuse
3.6 How to Search an Archive
3.6.1 Accessing the Archive-Issues to Consider
3.6.2 Data Quality and the Politics of the Archive
3.7 Outside and Alongside the Archive

3.8 Moving Your Search Strategy Forward
3.9 Resources
References
4: 'Aerial Surveying': Overviewing the Data and Constructing a Corpus
4.1 Introduction
4.2 The Aerial Survey
4.3 Understanding Metadata and Meta-Narratives
4.3.1 Using Metadata to Audit Your Data Sets
4.4 Working with Metadata-Challenges
4.4.1 Closeness and Distance
4.4.2 Data Harmonisation
4.4.3 Constructing your Corpus
4.5 Assembling Your New Corpus
4.5.1 Using Metadata to Create a New Corpus
4.5.2 Data Management
4.6 Conclusion
4.7 Resources
References

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