Big Qual
A Guide to Breadth-and-Depth Analysis
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Beschreibung
“…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 everywhere…Big 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.
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.
Provides a guide to the possibilities of big qual and its relationship to qualitative research Prompts readers to think differently about the relationship between theory and evidence, research questions and data Enhanced by tried and tested linked multimedia resources, expert international case studies and bespoke teaching dataset
Autor*in
Susie Weller
Themen in »Big Qual«
Big Qual social research methods digital research methods Data archiving Computer-aided scrutiny quantitative and qualitative methods
Stimmen zu »Big Qual«
“This volume will be a milestone in qualitative analysis, but more than that it clearly demonstrates that big data can be qualitative as much as quantitative. The volume takes a unique approach to analysis – that of a depth and breadth archaeology. This is more than a metaphor and is the basis of a rigorous method of analysis that allows the merging of data, from multiple sources, or over time, to create emergent outcomes. This shows the enormous potential of ‘qualitative big data’ to move beyond traditional qualitative analysis to produce new types of data, that can challenge the simple quantitative-qualitative dichotomy. The approach shows the potential for richer understandings at the micro level, but also the possibility of wider social generalisation. The authors bring both a methodological sophistication to this work, but also their deep practical knowledge and experience. The volume can be approached, or used, in different ways – as a methodological treatise grounded in empirical research, or the individual chapters can be used as discrete modules in specific aspects of analysis.” (Malcolm Williams, Cardiff University, UK)
“In Big Qual: A Guide to Breadth-and-Depth Analysis, Susie Weller, Emma Davidson, Rosalind Edwards, and Lynn Jamieson introduce a novel approach for working qualitatively with big datasets. Notably, big data has often been assumed to be quantitative in scope. Yet, in this book, Weller and colleagues aptly highlight the potentiality of qualitative inquirers working with big data sets. The authors importantly point to how big data in qualitative research has the potential of allowing for theoretical generalisability in compelling and much needed ways. In this timely book, the authors walk the reader through not just the value and importance of big qualitative data, but also how to access and create such datasets. Perhaps most significantly, this book discusses in great detail the ‘breadth-and-depth analysis’ approach to working with big qualitative data. This approach offers readers a way to think about how to analyze big qualitative data in meaningful and theoretically grounded ways. Weller et al.’s book is indeed long overdue and will serve as an important guidepost for the qualitative research community as we increasingly encounter and work with big qualitative datasets.” (Jessica Nina Lester, Professor of Qualitative Methodology, Indiana University Bloomington, USA)
“Big Qual: A Guide to Breadth-and-Depth Analysis is 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 everywhere. Moving well beyond rhetoric, this book takes readers on a journey to discover the newly minted “breadth-and-depth analysis” method for big qualitative data analysis. It gives easy-to-follow steps, with excursions into data mining tools, and supported by rich, illustrative case studies. Big Qual will lead you on a rewarding quest to navigate qualitative data landscapes, from a birds-eye aerial reconnaissance to a detailed charting of the data terrain. Begin to unearth what hides beneath the surface of digital data assemblages, in an iterative journey to uncover and find meaning in a data-saturated social world.” (Kathy A. Mills, Australian Catholic University, Australia)
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