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001484615 003__ OCoLC
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001484615 019__ $$a1412620243
001484615 020__ $$a9783031363245$$q(electronic bk.)
001484615 020__ $$a3031363248$$q(electronic bk.)
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001484615 020__ $$z9783031363238
001484615 0247_ $$a10.1007/978-3-031-36324-5$$2doi
001484615 035__ $$aSP(OCoLC)1412499649
001484615 040__ $$aYDX$$beng$$cYDX$$dGW5XE$$dOCLCO$$dEBLCP
001484615 049__ $$aISEA
001484615 050_4 $$aH62
001484615 08204 $$a001.42$$223/eng/20231218
001484615 1001_ $$aWeller, Susie.
001484615 24510 $$aBig qual :$$ba guide to breadth-and-depth analysis /$$cSusie Weller, Emma Davidson, Rosalind Edwards, Lynn Jamieson.
001484615 260__ $$aCham :$$bPalgrave Macmillan,$$c2023.
001484615 300__ $$a1 online resource
001484615 504__ $$aIncludes bibliographical references and indexes.
001484615 5050_ $$aIntro -- Foreword -- About the Contributors -- Preface -- How to Use This Book -- Resources -- References -- Acknowledgements -- About the Book -- Contents -- About the Authors -- Abbreviations -- List of Figures -- List of Tables -- Part I: From Big Qual to the Breadth-and-Depth Method -- 1: The Place and Value of Large-Scale Qualitative Data Analysis -- 1.1 Introduction -- 1.2 What Is Big Data? -- 1.3 Big Data and Qualitative Research -- 1.4 Breaking Methodological Borderlines -- 1.5 Big Opportunities for Qualitative Research -- 1.6 In Search of Breadth and Depth
001484615 5058_ $$a1.7 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
001484615 5058_ $$a2.3.4 Step Four: 'Deep Excavations'-In-Depth Interpretive Analysis -- 2.4 The Relationship Between Theory and Method -- 2.4.1 Deduction -- 2.4.2 Induction -- 2.4.3 Abduction -- 2.4.4 Retroduction -- 2.5 Benefits of the Method for Qualitative and Quantitative Researchers -- 2.6 Key Considerations -- 2.6.1 Epistemological Issues -- 2.6.2 The Nature of Data in the Breadth-and-Depth Method -- 2.6.3 Quality -- 2.6.4 Generalisability -- 2.7 Getting Started -- 2.8 Resources -- References -- Part II: An Enquiry-Led Overview of Qualitative Research Data Sets
001484615 5058_ $$a3: 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
001484615 5058_ $$a3.8 Moving Your Search Strategy Forward -- 3.9 Resources -- References -- 4: 'Aerial Surveying': Overviewing the Data and Constructing a Corpus -- 4.1 Introduction -- 4.2 The Aerial Survey -- 4.3 Understanding Metadata and Meta-Narratives -- 4.3.1 Using Metadata to Audit Your Data Sets -- 4.4 Working with Metadata-Challenges -- 4.4.1 Closeness and Distance -- 4.4.2 Data Harmonisation -- 4.4.3 Constructing your Corpus -- 4.5 Assembling Your New Corpus -- 4.5.1 Using Metadata to Create a New Corpus -- 4.5.2 Data Management -- 4.6 Conclusion -- 4.7 Resources -- References
001484615 506__ $$aAccess limited to authorized users.
001484615 520__ $$aThe 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.
001484615 588__ $$aDescription based on print version record.
001484615 650_6 $$aRecherche qualitative.
001484615 650_6 $$aDonnées volumineuses.
001484615 650_0 $$aQualitative research.$$xQualitative research$$0(DLC)sh2009000494
001484615 650_0 $$aBig data.$$0(DLC)sh2012003227
001484615 655_0 $$aElectronic books.
001484615 7001_ $$aDavidson, E.$$q(Emma)$$0(OCoLC)oca01522804
001484615 7001_ $$aEdwards, Rosalind.
001484615 7001_ $$aJamieson, Lynn,$$d1952-
001484615 77608 $$iebook version :$$z9783031363245
001484615 77608 $$iPrint version: $$z303136323X$$z9783031363238$$w(OCoLC)1381175186
001484615 77608 $$iPrint version:$$tBIG QUAL.$$d[S.l.] : PALGRAVE MACMILLAN, 2023$$z303136323X$$w(OCoLC)1381175186
001484615 852__ $$bebk
001484615 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-36324-5$$zOnline Access$$91397441.1
001484615 909CO $$ooai:library.usi.edu:1484615$$pGLOBAL_SET
001484615 980__ $$aBIB
001484615 980__ $$aEBOOK
001484615 982__ $$aEbook
001484615 983__ $$aOnline
001484615 994__ $$a92$$bISE