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Ignoring A Level In A Multilevel Model: Evidence From Uk Census Data, Mark Tramner, David Steel
Ignoring A Level In A Multilevel Model: Evidence From Uk Census Data, Mark Tramner, David Steel
Professor David Steel
Because of the inherent multilevel nature of census data, it is often appropriate to use multilevel models to investigate relationships between census variables. For a local population, the data available from the census allow a three-level nested model to be assumed, with an individual level (level 1), an enumeration district (ED) level (level 2), and a ward level (level 3). The consequences of ignoring one of the three levels in this model are assessed here theoretically. Empirical results, based on 1991 UK Census data, are also provided, comparing the variance components estimated from the three-level model with analyses based on …
An Introduction To Model-Based Survey Sampling With Applications, Raymond Chambers, Robert Clark
An Introduction To Model-Based Survey Sampling With Applications, Raymond Chambers, Robert Clark
Robert Clark
No abstract provided.