Using complexity theory for research and program evaluation:
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Oxford ; New York
Oxford University Press
[2013]
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Schriftenreihe: | Pocket guides to social work research methods
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Schlagworte: | |
Online-Zugang: | UBG01 Volltext |
Beschreibung: | Description based on print version record |
Beschreibung: | 1 online resource (xiii, 196 pages) illustrations |
ISBN: | 9780199841462 0199841462 9780199829460 0199829462 0199315892 9780199315895 |
Internformat
MARC
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245 | 1 | 0 | |a Using complexity theory for research and program evaluation |c Michael Wolf-Branigin |
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490 | 0 | |a Pocket guides to social work research methods | |
500 | |a Description based on print version record | ||
505 | 8 | |a Introduction: the history and theory of complexity -- Framing social services as complex systems -- Research and evaluation methods for complexity -- Shifting from a metaphorical to a mathematical approach -- Social work applications of complexity -- Introduction to agent-based modeling -- Developing agent-based models -- Concluding remarks and proposed research agenda | |
505 | 8 | |a "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 | |
505 | 8 | |a 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 | |
505 | 8 | |a 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."--pub. desc | |
650 | 4 | |a Social Work / methods | |
650 | 4 | |a Evaluation Studies as Topic | |
650 | 4 | |a Research Design | |
650 | 7 | |a Complexity (Philosophy) |2 fast | |
650 | 7 | |a Evaluation research (Social action programs) |2 fast | |
650 | 7 | |a Social service / Evaluation |2 fast | |
650 | 7 | |a Social service / Research / Evaluation |2 fast | |
650 | 7 | |a REFERENCE / Questions & Answers |2 bisacsh | |
650 | 4 | |a Evaluation research (Social action programs) | |
650 | 4 | |a Social service |x Research |x Evaluation | |
650 | 4 | |a Social service |x Evaluation | |
650 | 4 | |a Complexity (Philosophy) | |
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776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |a Wolf-Branigin, Michael |t Using complexity theory for research and program evaluation |
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Datensatz im Suchindex
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any_adam_object | |
author | Wolf-Branigin, Michael |
author_GND | (DE-588)1035267942 |
author_facet | Wolf-Branigin, Michael |
author_role | aut |
author_sort | Wolf-Branigin, Michael |
author_variant | m w b mwb |
building | Verbundindex |
bvnumber | BV043027346 |
collection | ZDB-4-EBA ZDB-28-OSD |
contents | Introduction: the history and theory of complexity -- Framing social services as complex systems -- Research and evaluation methods for complexity -- Shifting from a metaphorical to a mathematical approach -- Social work applications of complexity -- Introduction to agent-based modeling -- Developing agent-based models -- Concluding remarks and proposed research agenda "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."--pub. desc |
ctrlnum | (OCoLC)867049689 (DE-599)BVBBV043027346 |
dewey-full | 001.4 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 001 - Knowledge |
dewey-raw | 001.4 |
dewey-search | 001.4 |
dewey-sort | 11.4 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Allgemeines |
format | Electronic eBook |
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id | DE-604.BV043027346 |
illustrated | Illustrated |
indexdate | 2024-07-10T07:15:23Z |
institution | BVB |
isbn | 9780199841462 0199841462 9780199829460 0199829462 0199315892 9780199315895 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028452000 |
oclc_num | 867049689 |
open_access_boolean | |
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owner_facet | DE-1046 DE-1047 DE-473 DE-BY-UBG |
physical | 1 online resource (xiii, 196 pages) illustrations |
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series2 | Pocket guides to social work research methods |
spelling | Wolf-Branigin, Michael Verfasser (DE-588)1035267942 aut Using complexity theory for research and program evaluation Michael Wolf-Branigin Oxford ; New York Oxford University Press [2013] © 2013 1 online resource (xiii, 196 pages) illustrations txt rdacontent c rdamedia cr rdacarrier Pocket guides to social work research methods Description based on print version record Introduction: the history and theory of complexity -- Framing social services as complex systems -- Research and evaluation methods for complexity -- Shifting from a metaphorical to a mathematical approach -- Social work applications of complexity -- Introduction to agent-based modeling -- Developing agent-based models -- Concluding remarks and proposed research agenda "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."--pub. desc Social Work / methods Evaluation Studies as Topic Research Design Complexity (Philosophy) fast Evaluation research (Social action programs) fast Social service / Evaluation fast Social service / Research / Evaluation fast REFERENCE / Questions & Answers bisacsh Evaluation research (Social action programs) Social service Research Evaluation Social service Evaluation Complexity (Philosophy) Mehragentensystem (DE-588)4389058-1 gnd rswk-swf Komplexitätstheorie (DE-588)4120591-1 gnd rswk-swf Evaluation (DE-588)4071034-8 gnd rswk-swf Sozialarbeit (DE-588)4055676-1 gnd rswk-swf Mehragentensystem (DE-588)4389058-1 s Komplexitätstheorie (DE-588)4120591-1 s Evaluation (DE-588)4071034-8 s Sozialarbeit (DE-588)4055676-1 s 1\p DE-604 Erscheint auch als Druck-Ausgabe Wolf-Branigin, Michael Using complexity theory for research and program evaluation http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=678343 Aggregator Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Wolf-Branigin, Michael Using complexity theory for research and program evaluation Introduction: the history and theory of complexity -- Framing social services as complex systems -- Research and evaluation methods for complexity -- Shifting from a metaphorical to a mathematical approach -- Social work applications of complexity -- Introduction to agent-based modeling -- Developing agent-based models -- Concluding remarks and proposed research agenda "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."--pub. desc Social Work / methods Evaluation Studies as Topic Research Design Complexity (Philosophy) fast Evaluation research (Social action programs) fast Social service / Evaluation fast Social service / Research / Evaluation fast REFERENCE / Questions & Answers bisacsh Evaluation research (Social action programs) Social service Research Evaluation Social service Evaluation Complexity (Philosophy) Mehragentensystem (DE-588)4389058-1 gnd Komplexitätstheorie (DE-588)4120591-1 gnd Evaluation (DE-588)4071034-8 gnd Sozialarbeit (DE-588)4055676-1 gnd |
subject_GND | (DE-588)4389058-1 (DE-588)4120591-1 (DE-588)4071034-8 (DE-588)4055676-1 |
title | Using complexity theory for research and program evaluation |
title_auth | Using complexity theory for research and program evaluation |
title_exact_search | Using complexity theory for research and program evaluation |
title_full | Using complexity theory for research and program evaluation Michael Wolf-Branigin |
title_fullStr | Using complexity theory for research and program evaluation Michael Wolf-Branigin |
title_full_unstemmed | Using complexity theory for research and program evaluation Michael Wolf-Branigin |
title_short | Using complexity theory for research and program evaluation |
title_sort | using complexity theory for research and program evaluation |
topic | Social Work / methods Evaluation Studies as Topic Research Design Complexity (Philosophy) fast Evaluation research (Social action programs) fast Social service / Evaluation fast Social service / Research / Evaluation fast REFERENCE / Questions & Answers bisacsh Evaluation research (Social action programs) Social service Research Evaluation Social service Evaluation Complexity (Philosophy) Mehragentensystem (DE-588)4389058-1 gnd Komplexitätstheorie (DE-588)4120591-1 gnd Evaluation (DE-588)4071034-8 gnd Sozialarbeit (DE-588)4055676-1 gnd |
topic_facet | Social Work / methods Evaluation Studies as Topic Research Design Complexity (Philosophy) Evaluation research (Social action programs) Social service / Evaluation Social service / Research / Evaluation REFERENCE / Questions & Answers Social service Research Evaluation Social service Evaluation Mehragentensystem Komplexitätstheorie Evaluation Sozialarbeit |
url | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=678343 |
work_keys_str_mv | AT wolfbraniginmichael usingcomplexitytheoryforresearchandprogramevaluation |