Multilevel Synthesis: From the Group to the Individual

Cover......Page 1
Half-title
......Page 2
Series editor
......Page 3
Title
......Page 4
Copyright
......Page 5
Contents
......Page 7
Acknowledgments......Page 10
General Introduction......Page 11
Summary......Page 26
PARTI From Macro/Micro Opposition to Multilevel Analysis......Page 27
From a Descriptive Approach to a StatisticalPeriod Analysis......Page 28
Observing a Single Characteristic......Page 32
Observing Several Characteristics......Page 39
Current Extensions of the Approach......Page 41
Underlying Paradigm......Page 44
Synthetic Indices that are Hard to Interpret......Page 45
Regressions that are Hard to Interpret......Page 46
The Ecological Fallacy......Page 49
Introduction of Time Lived by the Generation or Cohort......Page 51
Definition of Populations Studied and of the Temporality Used......Page 52
Relationships between Phenomena and Population Homogeneity......Page 53
Implementation of Cohort Analysis......Page 54
Paradigm of the Cohort Approach......Page 60
Methodological Issues......Page 62
Analyzing Individual Data......Page 67
Introducing Individual Behaviors......Page 68
Introducing Time Regressions......Page 75
Paradigm of Event-History Approach......Page 82
Unobserved Heterogeneity......Page 86
Risk of Atomistic Fallacy......Page 89
Establishing the Analysis......Page 90
From Contextual Analysis…......Page 91
…to a Multilevel Analysis......Page 96
Toward a Synthetic Paradigm......Page 102
PARTII Multilevel Analysis......Page 104
Defining Levels......Page 105
Social or Economic Groups with Obvious Effects......Page 106
Geographic and Administrative Groups with Less Direct Effects......Page 108
Period Observation......Page 110
Event-history Observation......Page 112
Conclusion......Page 114
Linear Analysis of Continuous Characteristics......Page 115
A Two-Level Linear-Regression Model......Page 116
Estimating the Model Parameters......Page 117
Imputation to a Given Level of the Effect of Omitted Fixed Characteristics......Page 127
Imputation of Random Effects to an Incorrect Aggregation Level......Page 131
Modifying the Dependent Characteristic to Obtain a Normal Distribution of Residuals......Page 141
Analysis of Discrete Characteristics......Page 146
A Two-Level Generalized Linear-Regression Model......Page 147
Modeling Binary Data......Page 149
Modeling Polytomous Data......Page 157
Models to Explain Nominal Characteristics......Page 159
Models to Explain Ordinal Characteristics......Page 164
Modeling an Event Count......Page 172
Conclusion......Page 180
Multilevel Event-History Analysis......Page 181
Existing Data and Sources to Establish......Page 182
A Two-Level Model for Event-History Analysis......Page 185
Estimating the Model's Parameters......Page 188
General Conclusion......Page 209
Glossary of Epistemological Terms......Page 220
Main Software Programs Suitable for Multilevel Demographic Analysis......Page 222
Bibliography
......Page 224
Author index......Page 236
Subject index......Page 240