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Social Synthesis: Finding Dynamic Patterns in Complex Social Systems [Kõva köide]

(Brighton University, UK)
  • Formaat: Hardback, 188 pages, kõrgus x laius: 234x156 mm, kaal: 453 g, 83 Tables, black and white; 38 Line drawings, black and white
  • Sari: Complexity in Social Science
  • Ilmumisaeg: 10-Aug-2017
  • Kirjastus: Routledge
  • ISBN-10: 1138208728
  • ISBN-13: 9781138208728
  • Formaat: Hardback, 188 pages, kõrgus x laius: 234x156 mm, kaal: 453 g, 83 Tables, black and white; 38 Line drawings, black and white
  • Sari: Complexity in Social Science
  • Ilmumisaeg: 10-Aug-2017
  • Kirjastus: Routledge
  • ISBN-10: 1138208728
  • ISBN-13: 9781138208728

How is it possible to understand society and the problems it faces? What sense can be made of the behaviour of markets and government interventions? How can citizens understand the course that their lives take and the opportunities available to them?

There has been much debate surrounding what methodology and methods are appropriate for social science research. In a larger sense, there have been differences in quantitative and qualitative approaches and some attempts to combine them. In addition, there have also been questions of the influence of competing values on all social activities versus the need to find an objective understanding. Thus, this aptly named volume strives to develop new methods through the practice of "social synthesis", describing a methodology that perceives societies and economies as manifestations of highly dynamic, interactive and emergent complex systems. Furthermore, helping us to understand that an analysis of parts alone does not always lead to an informed understanding, Haynes presents to the contemporary researcher an original tool called Dynamic Pattern Synthesis (DPS) - a rigorous method that informs us about how specific complex social and economic systems adapt over time.

A timely and significant monograph, Social Synthesis will appeal to advanced undergraduate and postgraduate students, research professionals and academic researchers informed by Sociology, Economics, Politics, Public Policy, Social Policy, and Social Psychology.

Arvustused

I highly recommend this book which has several case-studies of complex change over time. Complexity theory fits the social sciences well because there is both stability and instability in the social patterns. Here we find good empirical examples. The author observes patterns over time using three main methods: a complex cluster analysis, the discerning of prime implicants from among the configurations characteristics, and Boolean truth-table analysis. The author thus reduces and simplifies the findings. The book makes extensive use of Qualitative Comparative Analysis (QCA) while extending this mixed method to an intertemporal range.

Wendy Olsen, Reader in Socio-Economic Research, The University of Manchester, UK

This book responds to two important currents influencing contemporary social science: critical realism and complexity science. It provides an account of a promising new analytic method, Dynamic Pattern Synthesis, and illustrates how one can use the method with examples including the analysis of health and social care. I look forward to the application of this innovative and powerful method to a wide range of policy-relevant topics.

Nigel Gilbert, Professor of Sociology, University of Surrey, UK

List of illustrations
viii
Acknowledgements xii
Abbreviations xiv
Introduction 1(4)
1 Methodology: towards a representation of complex system dynamics
5(29)
Introduction
5(1)
Complexity science
6(2)
Sensitivity to initial conditions
8(1)
Emergence
9(1)
Autopoiesis
10(2)
Feedback
12(1)
Networks
13(1)
Summarising the influences of complexity theory
14(1)
Understanding system change as patterns
15(3)
Complexity in economic systems
18(2)
Time and space
20(2)
Critical realism
22(2)
Case similarity and difference
24(2)
Convergence and divergence
26(1)
Complex causation
27(3)
Methodological conclusions
30(2)
Conclusions
32(2)
2 The method: introducing Dynamic Pattern Synthesis
34(39)
Introduction
34(2)
Cluster Analysis
36(2)
Cluster Analysis: specific approaches
38(1)
Distance measures
38(1)
Hierarchical and nonhierarchical CA
39(1)
Clustering algorithms
40(1)
Dendrogram charts
40(2)
Icicle charts
42(1)
Using SPSS to calculate and compare cluster methods
43(4)
Further considerations of the effects of clustering algorithms
47(5)
Understanding variable relationships within cluster formulation
52(1)
Repeating CA over time
53(1)
Qualitative Comparative Analysis
53(1)
Crisp set QCA
54(3)
Accounting for time in case based methods
57(1)
Combining the two methods: CA and QCA
57(1)
Qualitative Comparative Analysis and software packages
58(1)
Applying QCA
58(3)
An alternative confirmation method: ANOVA
61(2)
The application of CA and QCA as a combined method
63(1)
Dynamic Pattern Synthesis: seven cities, three years later
63(1)
Threshold setting for binary crisp set conversion
64(1)
Prime implicant `near misses'
65(2)
Other considerations for the DPS
67(4)
Conclusion
71(2)
3 Macro examples of Dynamic Pattern Synthesis
73(49)
Introduction
73(1)
Macro case study 1: health and social care in Europe
73(1)
Macro case study 1, wave 1, 2004
74(5)
Macro case study 1, wave 2, 2006
79(3)
Macro case study 1, wave 4, 2010
82(8)
Macro case study 1, wave 5, 2013
90(5)
Macro case study 1: conclusions
95(4)
Macro case study 2: the evolution of the euro based economies
99(1)
Macro case study 2, wave 1, 2002
99(7)
Macro case study 2, wave 2, 2006
106(6)
Macro case study 2, wave 3, 2013
112(6)
Macro case study 2: conclusions
118(4)
4 A meso case study example: London boroughs
122(32)
Introduction
122(1)
Meso case study, 2010
123(10)
Meso case study, 2011
133(9)
Meso case study, 2012
142(7)
Meso case study: conclusions
149(5)
5 Micro case study example: older people in Sweden
154(21)
Micro case study: older people in Sweden born in 1918
154(1)
Micro case study, wave 1, 2004
155(7)
Micro case study, wave 2, 2006
162(5)
Micro case study, wave 4, 2010
167(2)
Conclusions for the micro case study
169(6)
6 Conclusions
175(12)
Dynamic Pattern Synthesis and different dynamic typologies
175(5)
Reflections on complexity theory and DPS
180(3)
References
183(4)
Index 187
Philip Haynes is Professor of Public Policy in the School of Applied Social Science at the University of Brighton, UK.