Using Complexity Theory for Research and Program Evaluation (Pocket Guides to Social Work Research Methods)
Language: English
Published by Oxford University Press, Usa, 2013
Series: Book 27 of 41 - Pocket Guides to Social Work Research Methods
- Softcover
- New

Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrelandKennys Bookshop and Art Galleries Ltd.
AbeBooks seller since February 27, 2001
Condition: New
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Complexity theory provides a promising framework for conducting social work research and evaluation. Readers will gain an understanding of the background, current applications, and agent-based modeling as a new approach for creating simulations. To advance this line of inquiry a complexity research agenda for social work is developed. Series: Pocket Guides to Social Work Research Methods. Num Pages: 212 pages, 8 line-cuts and 9 half-tones. BIC Classification: JHBC; JKSN. Category: (G) General (US: Trade). Dimension: 211 x 141 x 11. Weight in Grams: 288. . 2013. Illustrated. paperback. . . . .
Seller Inventory # V9780199829460
- Title
- Using Complexity Theory for Research and Program Evaluation (Pocket Guides to Social Work Research Methods)
- Author
- Wolf-Branigin, Michael
- Publisher
- Oxford University Press, Usa
- Publication year
- 2013
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0199829462
- ISBN 13
- 9780199829460
- Series
- Book 27 of 41: Pocket Guides to Social Work Research Methods
Readers will learn how to frame their research using the components found in complex systems by using their existing knowledge of research methods and applying basic mathematical concepts. Concepts such as bordering between chaos and equilibrium, diverse perspectives, diverse heuristics, robustness, and wisdom of crowds are considered and applied to social work research studies. Basic introductions on game theory, graph theory, Boolean logic, decision theory, and network science provide the necessary mathematical background for understanding interconnectedness and networking.
The next part of the book is a hands-on guide to the agent-based modeling software NetLogo. By inputting initial parameters and rules, the outputted models provide valuable information for visualizing unintended consequences, including how conflict can foster cooperation and how threats to a social network can improve the network's robustness and resiliency. The result is both a user-friendly introduction to using complexity theory in a socio-environmental context and a framework that provides an overarching structure for investigating process, outcomes, and the collective behavior of groups.
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Kennys Bookshop and Art Galleries Ltd.
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