A multilevel modelling approach to measuring changing patterns of ethnic composition and segregation among London secondary schools, 2001-2010

Journal article

Leckie, George and Goldstein, Harvey. (2015). A multilevel modelling approach to measuring changing patterns of ethnic composition and segregation among London secondary schools, 2001-2010. Royal Statistical Society. Journal. Series A: Statistics in Society. 178(2), pp. 405 - 424. https://doi.org/10.1111/rssa.12066

Authors	Leckie, George and Goldstein, Harvey
Abstract	Multilevel binomial logistic regression has recently been proposed for the special case of statistically modelling changing composition and segregation of two groups of individuals over two occasions among organizational units, enabling inferences to be made about the underlying social processes which generate these patterns. A simulation method can then be used to re-express the model parameters in the metric of any desired two-group segregation index. We generalize this combined modelling and simulation approach by proposing multilevel random-coefficient multinomial logistic regression for the general case of statistically modelling multiple groups of individuals over multiple occasions and multiple organizational scales. We illustrate this combined approach with an application to modelling changing three-group white–black–Asian ethnic composition and segregation among London secondary schools and local authorities during the first decade of the 21st century.
Year	2015
Journal	Royal Statistical Society. Journal. Series A: Statistics in Society
Journal citation	178 (2), pp. 405 - 424
ISSN	0964-1998
Digital Object Identifier (DOI)	https://doi.org/10.1111/rssa.12066
Page range	405 - 424
Research Group	Institute for Learning Sciences and Teacher Education (ILSTE)
Publisher's version	File Access Level Controlled

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