Systematically Working With Multimodal Data: Research Methods in Multimodal Discourse Analysis - Rilegato

Norris, Sigrid

Rilegato

ISBN 10: 1119168317 ISBN 13: 9781119168317

Casa editrice: Blackwell Pub, 2019

Riassunto

A guide that offers a step-by-step process to data-driven qualitative multimodal discourse analysis

Systematically Working with Multimodal Data is a hands-on guide that is theoretically grounded and offers a step-by-step process to clearly show how to do a data-driven qualitative Multimodal Discourse Analysis (MDA). This full-color introductory textbook is filled with helpful definitions, notes, discussion points and tasks. With illustrative research examples from YouTube, an Experimental and a Video Ethnographic Study, the text offers many examples of how to deal with small to large amounts of data, including information on how to transcribe video data multimodally, including online videos, and how to analyze the data.

This textbook contains ample theory, directions for literature, and a teaching guide to help with a clear understanding of how to work with multimodal data.

• Contains new research data, exceptional illustrations and diagrams
• Offers step-by-step processes of working through examples, transcriptions and online videos
• Goes into great depth so that students can use the book as hands-on material to engage with their own data analysis
• Designed to be easy-to-use with color-coded definitions, tasks, discussion points and notes

Written for advanced undergraduate, graduate and PhD level students, as well as participants in research workshops, Systematically Working with Multimodal Data is an authoritative guide to understanding data-driven qualitative Multimodal Discourse Analysis.

Su questo libro

Informazioni sugli autori

Sigrid Norris is Professor of Multimodal (Inter)action and Director of the AUT Multimodal Research Centre at Auckland University of Technology, New Zealand. She is editor of the international journal Multimodal Communication and author of Analyzing Multimodal Interaction (2004) and Identity in (Inter)action: Introducing Multimodal (Inter)action Analysis (2011).

Sigrid Norris is Professor of Multimodal (Inter)action and Director of the AUT Multimodal Research Centre at Auckland University of Technology, New Zealand.

Dalla quarta di copertina

A guide that offers a step-by-step process to data-driven qualitative multimodal discourse analysis

Systematically Working with Multimodal Data is a hands-on guide that is theoretically grounded and offers a step-by-step process to clearly show how to do a data-driven qualitative Multimodal Discourse Analysis (MDA). This full-color introductory textbook is filled with helpful definitions, notes, discussion points and tasks. With illustrative research examples from YouTube, an Experimental and a Video Ethnographic Study, the text offers many examples of how to deal with small to large amounts of data, including information on how to transcribe video data multimodally, including online videos, and how to analyze the data.

This textbook contains ample theory, directions for literature, and a teaching guide to help with a clear understanding of how to work with multimodal data.

• Contains new research data, exceptional illustrations and diagrams
• Offers step-by-step processes of working through examples, transcriptions and online videos
• Goes into great depth so that students can use the book as hands-on material to engage with their own data analysis
• Designed to be easy-to-use with color-coded definitions, tasks, discussion points and notes

Written for advanced undergraduate, graduate and PhD level students, as well as participants in research workshops, Systematically Working with Multimodal Data is an authoritative guide to understanding data-driven qualitative Multimodal Discourse Analysis. 

Dettagli dell'edizione

• Editore: Blackwell Pub
• Data di pubblicazione: 2019
• Lingua: Inglese
• ISBN 10: 1119168317
• ISBN 13: 9781119168317
• Rilegatura: Copertina rigida
• Numero di pagine: 301
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile