Cross-classified and Multiple Membership Structures in Multilevel Models: An Introduction and Review
نویسندگان
چکیده
This review provides an introduction to the role of statistical modelling of complex social situations, in particular considering the application of advanced methodologies to an educational context. By building an overview of techniques such as cross classified multi-level modelling and multiple membership structures and through a comprehensive review of the application of these techniques the review should inform advances in educational research. The application of these advanced statistical techniques which allow for hierarchically structured data will assist the Department in accurately identifying the individual and independent effects of various factors on attainment and in particular the simultaneous effects of area of residence effects and school effects in educational production functions.
منابع مشابه
Statistical Modelling Multiple Membership Multiple Classification (mmmc) Models Multiple Membership Multiple Classification (mmmc) Models 2.2 Classification Diagrams Multiple Membership Multiple Classification Models 105 2.3 Multilevel/hierarchical Models
In the social and other sciences many data are collected with a known but complex underlying structure. Over the past two decades there has been an increase in the use of multilevel modelling techniques that account for nested data structures. Often however the underlying data structures are more complex and cannot be fitted into a nested structure. First, there are cross-classified models wher...
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