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Can I read Mixed Methods Social Network Analysis : Theories and Methodologies in Learning and Education on EtoBox?
Mixed Methods Social Network Analysis : Theories and Methodologies in Learning and Education by Froehlich, Dominik E.;Rehm, Martin;Rienties, Bart C. is a nonfiction available to read on EtoBox.
What is Mixed Methods Social Network Analysis : Theories and Methodologies in Learning and Education about?
Mixed Methods Social Network Analysis brings together diverse perspectives from 42 international experts on how to design, implement, and evaluate mixed methods 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 11 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
Who reads Mixed Methods Social Network Analysis : Theories and Methodologies in Learning and Education?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Froehlich, Dominik E.;Rehm, Martin;Rienties, Bart C.
- Publisher
- Taylor & Francis Group; Routledge
- Published
- 2019
- Language
- EN
- ISBN
- 9780429056826
- Category
- nonfiction
- Subjects
- Computer Science, Science, Sociology
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