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.
|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|
|Publication status||Published - 2012|