Big Qual〈1st ed. 2023〉 : A Guide to Breadth-and-Depth Analysis

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Big Qual〈1st ed. 2023〉 : A Guide to Breadth-and-Depth Analysis

  • 著者名:Weller, Susie/Davidson, Emma/Edwards, Rosalind/Jamieson, Lynn
  • 価格 ¥12,207 (本体¥11,098)
  • Palgrave Macmillan(2023/12/04発売)
  • 3連休は読書を!Kinoppy 電子書籍・電子洋書 全点ポイント30倍キャンペーン(~2/23)
  • ポイント 3,300pt (実際に付与されるポイントはご注文内容確認画面でご確認下さい)
  • 言語:ENG
  • ISBN:9783031363238
  • eISBN:9783031363245

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Description

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.

Table of Contents

PART I: FROM BIG QUAL TO THE BREADTH-AND-DEPTH METHOD.- 1. The place and value of large-scale qualitative data analysis.- 2. Introducing the breadth-and-depth method.- PART II: AN ENQUIRY-LED OVERVIEW OF QUALITATIVE RESEARCH DATA SETS.- 3. Sourcing and searching for suitable data sets.- 4. ‘Ariel surveying’: Overviewing the data and constructing a corpus.- PART III: MOVING BETWEEN BREADTH-AND-DEPTH IN QUALITATIVE ANALYSIS.- 5. ‘Geophysical surveying’: Recursive surface ‘thematic’ mapping using data mining tools.- 6. ‘Test pit sampling’: Preliminary analysis.- 7. ‘Deep excavations’: In-depth interpretive analysis.- PART IV: REFLECTING ON THE IMPLICATIONS OF LARGE-SCALE QUALITATIVE ANALYSIS.- 8. Ethics and practice.- 9. Big qual and the future of qualitative analysis.

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