|
|
viii | |
Acknowledgements |
|
xii | |
Abbreviations |
|
xiv | |
Introduction |
|
1 | (4) |
|
1 Methodology: towards a representation of complex system dynamics |
|
|
5 | (29) |
|
|
5 | (1) |
|
|
6 | (2) |
|
Sensitivity to initial conditions |
|
|
8 | (1) |
|
|
9 | (1) |
|
|
10 | (2) |
|
|
12 | (1) |
|
|
13 | (1) |
|
Summarising the influences of complexity theory |
|
|
14 | (1) |
|
Understanding system change as patterns |
|
|
15 | (3) |
|
Complexity in economic systems |
|
|
18 | (2) |
|
|
20 | (2) |
|
|
22 | (2) |
|
Case similarity and difference |
|
|
24 | (2) |
|
Convergence and divergence |
|
|
26 | (1) |
|
|
27 | (3) |
|
Methodological conclusions |
|
|
30 | (2) |
|
|
32 | (2) |
|
2 The method: introducing Dynamic Pattern Synthesis |
|
|
34 | (39) |
|
|
34 | (2) |
|
|
36 | (2) |
|
Cluster Analysis: specific approaches |
|
|
38 | (1) |
|
|
38 | (1) |
|
Hierarchical and nonhierarchical CA |
|
|
39 | (1) |
|
|
40 | (1) |
|
|
40 | (2) |
|
|
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) |
|
|
53 | (1) |
|
Qualitative Comparative Analysis |
|
|
53 | (1) |
|
|
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) |
|
|
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) |
|
|
71 | (2) |
|
3 Macro examples of Dynamic Pattern Synthesis |
|
|
73 | (49) |
|
|
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) |
|
|
122 | (1) |
|
|
123 | (10) |
|
|
133 | (9) |
|
|
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) |
|
|
175 | (12) |
|
Dynamic Pattern Synthesis and different dynamic typologies |
|
|
175 | (5) |
|
Reflections on complexity theory and DPS |
|
|
180 | (3) |
|
|
183 | (4) |
Index |
|
187 | |