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`A highly effective introduction which gives readers a clear sense of how to analyze discourse data and then employ the analytic approaches in their own research’ - David Silverman, Goldsmith College, University of LondonThis work’s broad coverage, combined with didactic, practical guidance should make this important reading for any student or researcher wishing to learn more about discourse analysis. This book will be ideal as a teaching tool, and an invaluable aid on discourse analysis courses. This book is a course reader for The Open University course Discourse Analysis (D843).
Acerca de los autores:
Margaret Wetherell is Professor of Social Psychology at the Open University, UK and Director of the Economic and Social Research Council Programme on Identities and Social Action.
Stephanie Taylor is a senior lecturer in Social Psychology at the Open University, UK. Her research investigates a complex gendered subject and contemporary identification, including identities of creativity and work. She has also written extensively on discourse analysis and qualitative research. Her books include What Is Discourse Analysis? (Bloomsbury, 2013), Contemporary Identities of Creativity and Creative Work, with Karen Littleton (Ashgate, 2012), and Narratives of Identity and Place (Routledge, 2010). She is a coeditor, with Susan Luckman, of the 2018 Palgrave Macmillan collection The New Normal of Working Lives: Critical Studies in Contemporary Work and Employment. She is originally from New Zealand and now lives in the UK.
Título: Discourse as Data: A Guide for Analysis (...
Editorial: SAGE Publications Ltd
Año de publicación: 2001
Encuadernación: Encuadernación de tapa blanda
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Librería: More Than Words, Waltham, MA, Estados Unidos de America
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Librería: WorldofBooks, Goring-By-Sea, WS, Reino Unido
Paperback. Condición: Very Good. `A highly effective introduction which gives readers a clear sense of how to analyze discourse data and then employ the analytic approaches in their own research - David Silverman, Goldsmiths College, University of London This workbook will be invaluable for students across the social sciences who need to learn how to analyze discourse. Using a step-by-step approach, students are introduced to the principal range of methods for analyzing different types of text, taken through key analytic concepts, offered specimen analyses and given the opportunity to try out analytic concepts on new data. Discourse as Data is organized around eight chapters, six of which are related to the domains covered in the Reader, and top and tailed by two chapters which set up common methodological issues in discourse research relevant to all approaches (such as transcription and the application and the critical evaluation of discourse research). Though the text will be a perfect companion to the simultaneously published Reader, its broad coverage, combined with didactic, practical guidance should make this important reading for any student or researcher wishing to learn more about discourse analysis. This book will be ideal as a teaching tool, and an invaluable aid on discourse analysis courses, which have a practical content, most notably within the fields of psychology, cultural and media studies, sociology and linguistics. This book is a course reader for The Open University course Discourse Analysis (D843). The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. Nº de ref. del artículo: GOR002245402
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Paperback. Condición: Very Good. Discourse as Data: A Guide for Analysis (Published in association with The Open University) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. . Nº de ref. del artículo: 7719-9780761971580
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