Systematically Working with Multimodal Data

Systematically Working with Multimodal Data
Author :
Publisher : John Wiley & Sons
Total Pages : 328
Release :
ISBN-10 : 9781119168331
ISBN-13 : 1119168333
Rating : 4/5 (31 Downloads)

Book Synopsis Systematically Working with Multimodal Data by : Sigrid Norris

Download or read book Systematically Working with Multimodal Data written by Sigrid Norris and published by John Wiley & Sons. This book was released on 2019-02-22 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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