Using complexity theory for research and program evaluation
著者
書誌事項
Using complexity theory for research and program evaluation
(Pocket guides to social work research methods)
Oxford University Press, c2013
- : pbk
大学図書館所蔵 全4件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references and index
内容説明・目次
内容説明
Complexity as a paradigm has been underutilized by social work, but this cutting-edge pocket guide makes a convincing argument for its use. Every agency worker has been faced with a deluge of records, making it difficult to grasp onto structures and trends undergirding behavior. Complexity theory studies the interactions of competitive and cooperative tendencies of agents such as individuals, families, groups, or communities, making the case that there is a hidden
order in things that are seemingly chaotic. Exploring their interactions involves identifying a set of simple rules that the agents follow, revealing patterns that emerge without a predetermined template.
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.
目次
- Preface
- 1. Introduction: The History and Theory of Complexity
- 2. Framing Social Services as Complex Systems
- 3. Research and Evaluation Methods for Complexity
- 4. Shifting from a Metaphorical to a Mathematical Approach
- 5. Social Work Applications of Complexity
- 6. Introduction to Agent-based Modeling
- 7. Developing Agent-based Models
- 8. Concluding Remarks and Proposed Research Agenda
- Appendix A. Code for Example One
- Appendix B. Code for Example Two
- Appendix C. Example of an Agent-Based Model Report
- Appendix D. Additional Resources
- Glossary
- Notes
- References
- Index
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