9780367174453-0367174456-Mixed Methods Social Network Analysis: Theories and Methodologies in Learning and Education

Mixed Methods Social Network Analysis: Theories and Methodologies in Learning and Education

ISBN-13: 9780367174453
ISBN-10: 0367174456
Edition: 1
Publication date: 2019
Publisher: Routledge
Format: Paperback 292 pages
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Book details

ISBN-13: 9780367174453
ISBN-10: 0367174456
Edition: 1
Publication date: 2019
Publisher: Routledge
Format: Paperback 292 pages

Summary

Acknowledged author wrote Mixed Methods Social Network Analysis: Theories and Methodologies in Learning and Education comprising 292 pages back in 2019. Textbook and eTextbook are published under ISBN 0367174456 and 9780367174453. Since then Mixed Methods Social Network Analysis: Theories and Methodologies in Learning and Education textbook was available to sell back to BooksRun online for the top buyback price or rent at the marketplace.

Description

Mixed Methods Social Network Analysis brings together diverse perspectives from 42 international experts on how to design, implement and evaluate Mixed Method Social Network Analysis (MMSNA). There is an increased recognition that social networks can be important catalysts for change and transformation.

This edited book from leading experts in mixed methods and social network analysis describes how researchers can conceptualize, develop, mix, and intersect diverse approaches, concepts, and tools. In doing so, they can improve their understanding and insights into the complex change processes in social networks. Section 1 includes eight chapters that reflect on "Why should we do MMSNA?", providing a clear map of MMSNA research to date and why to consider MMSNA. In Section 2 the remaining eleven chapters are dedicated to the question "How do I do MMSNA?", illustrating how concentric circles, learning analytics, qualitative structured approaches, relational event modeling, and other approaches can empower researchers.

This book shows that mixing qualitative and quantitative approaches to social network analysis can empower people to understand the complexities of change in networks and relations between people. It shows how mixed analysis can be applied to a wide range of data generated by diverse global communities: American school children, Belgian teachers, Dutch medical professionals, Finnish consultants, French school children, and Swedish right-wing social media users, amongst others. It will be of great interest to researchers and postgraduate students in Education and social sciences, and mixed methods scholars.

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