Abstract
The traditional approach to measuring segregation is based upon descriptive, non-model-based indices. A recently proposed alternative is multilevel modeling. The authors further develop the argument for a multilevel modeling approach by first describing and expanding upon its notable advantages, which include an ability to model segregation at a number of scales simultaneously. The authors then propose a major extension to this approach by introducing a simple simulation method that allows traditional descriptive indices to be reformulated within a modeling framework. The multilevel approach and the simulation method are illustrated with an application that models recent social segregation among schools in London, UK.
Original language | English |
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Title of host publication | Correlation and Regression Analysis |
Subtitle of host publication | Multi-Level Regression Modeling, Structural Equation Modeling and Mixed Regression |
Editors | W Paul Vogt, Burke Johnson |
Volume | 4 |
Publication status | Published - 2012 |