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首页> 外文期刊>Journal of the Royal Statistical Society >A multilevel modelling approach to measuring changing patterns of ethnic composition and segregation among London secondary schools, 2001-2010
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A multilevel modelling approach to measuring changing patterns of ethnic composition and segregation among London secondary schools, 2001-2010

机译：一种用于衡量伦敦中学2001-2010年种族组成和种族隔离模式变化的多层次建模方法

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摘要

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.
机译：最近已经提出了多级二项式逻辑回归用于统计模型的特殊情况，这种特殊情况是在组织单位中两次对两组个人的组成和隔离进行变化建模，从而可以推断出产生这些模式的潜在社会过程。然后可以使用模拟方法以任何所需的两组隔离指数的度量重新表达模型参数。我们通过提出多级随机系数多项式逻辑回归来概括这种组合的建模和仿真方法，以针对在多种情况下和多个组织规模内对多组个人进行统计建模的一般情况。我们举例说明了这种组合方法，并将其应用于对21世纪前十年伦敦中学和地方当局之间三族白黑亚洲种族组成和种族隔离的建模。

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