Big Qual - A Guide to Breadth-and-Depth Analysis (1st ed. 2023)

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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.

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Product 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.

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Product Details

General

Imprint

Palgrave Macmillan

Country of origin

Switzerland

Release date

October 2023

Availability

Expected to ship within 12 - 17 working days

Authors

, , ,

Dimensions

235 x 155mm (L x W)

Edition

1st ed. 2023

ISBN-13

978-3-03-136323-8

Barcode

9783031363238

Categories

LSN

3-03-136323-X



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