Methodology and Epistemology of Multilevel Analysis: Approaches from Different Social Sciences

前表紙
D. Courgeau
Springer Science & Business Media, 2003/07/31 - 235 ページ
3 the observation focus on aggregate or individual behaviours? Will the meth ods used to identify the relationships between the values measured be the same or totally different depending on the level of observation? Can several aggregation levels be used simultaneously? and so on. The social scientist will also need to address the issue of time: Will it be historical time, in which the events studied unfold, or, on the contrary, the time lived by the individual who experiences the events? Will the observation point be a precise moment of that "lived" time, in order to explain the behaviours occurring then by con ditions prevailing immediately beforehand? Or, on the contrary, will the ob servation span an individual's entire life, involving constantly changing conditions? These issues have been present from the very beginning of social science research. We shall address them throughout this volume, and try to find satisfactory solutions. The multilevel approach-which has recently gained ground-tackles the issues from a fresh angle. Within the framework of a single model, it seeks to achieve a synthesis connecting individuals to the society in which they live. For this purpose, it uses intermediate levels, which can vary from one science to another: for example, class and school, in education; the village, the town, and the region, in human geography; the family, the household, and the con tact circle, in demography.
 

目次

Multilevel modelling of educational data
25
units and levels
26
2 The basic multilevel model
28
3 Crossclassified models
30
4 The multiple membership model
33
5 Types of response
35
6 Final thoughts about new insights
36
From the macromicro opposition to multilevel analysis in demography
39
8 Conclusion
149
Organizational levels and time scaled in economics
153
1 Introduction
154
2 Frozen time
155
3 Spread out time
157
4 Sequential time
159
5 Adaptive time
160
6 Individualism versus holism
162

1 Introduction
40
2 The aggregate period approach
42
3 Cohort analysis
53
4 Event history analysis
60
5 Contextual and multilevel analysis
70
6 Conclusion
80
Potentialities and limitations of multilevel analysis in public health and epidemiology
89
1 Introduction
90
conceptual and methodological implications
93
3 Multilevel analysis
98
4 Multilevel analysis in public health and epidemiology
102
5 Challenges raised by the use of multilevel analysis in epidemiology
104
6 Limitations and complementary approaches
108
Exploring small area population structures with census data
117
1 Introduction
118
2 The concept of multilevel models for geographically based data
119
3 Census data availability
121
4 Some previous examples of multilevel modelling with census data
126
5 Estimating and explaining population structures with census data
128
6 Investigating small area variations using SAR with recently added area classifications
138
7 Further topics
147
7 Economic epistemological positions
164
8 Micro and macroanalysis
166
9 From theoretical to empirical analysis
167
Causal analysis systems analysis and multilevel analysis Philosophy and epistemology
171
1 Introduction Objects of this chapter
172
3 Multicausal models
176
4 The Stoic Principle of causality
180
5 Noncausal determination
183
6 The notion of reciprocal action
184
7 The nature of levels
186
8 Factors and systems
188
9 A social philosophy
190
10 Conclusion Causal analysis systems analysis and multilevel analysis
191
GENERAL CONCLUSION
195
Objectivist subjectivist and logicist approach
199
3 A better definition of levels and a better interconnection between them
204
4 Towards a fuller theory
206
Subject Index
211
Author Index
225
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