Using Complexity Theory For Research And Program Evaluation


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Using Complexity Theory for Research and Program Evaluation


Using Complexity Theory for Research and Program Evaluation

Author: Michael Wolf-Branigin

language: en

Publisher: Oxford University Press, USA

Release Date: 2013-03-07


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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.

Research Handbook on Program Evaluation


Research Handbook on Program Evaluation

Author: Kathryn E. Newcomer

language: en

Publisher: Edward Elgar Publishing

Release Date: 2024-06-05


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In the Research Handbook on Program Evaluation, an impressive range of authors take stock of the history and current standing of key issues and debates in the evaluation field. Examining current literature of program evaluation, the Research Handbook assesses the field's status in a post-pandemic and social justice-oriented world, examining today’s theoretical and practical concerns and proposing how they might be resolved by future innovations. This title contains one or more Open Access chapters.

Dealing With Complexity in Development Evaluation


Dealing With Complexity in Development Evaluation

Author: Michael Bamberger

language: en

Publisher: SAGE Publications

Release Date: 2015-10-16


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Recognizing that complexity calls for innovative, conceptual, and methodological solutions, Dealing with Complexity in Development Evaluation by Michael Bamberger, Jos Vaessen, and Estelle Raimondo offers practical guidance to policymakers, managers, and evaluation practitioners on how to design and implement complexity-responsive evaluations that can be undertaken in the real world of time, budget, data, and political constraints. Introductory chapters present comprehensive, non-technical overviews of the most common evaluation tools and methodologies, and additional content addresses more cutting-edge material. The book also includes six case study chapters to illustrate examples of various evaluation contexts from around the world.