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Full-Text Articles in Social and Behavioral Sciences

Ignoring A Level In A Multilevel Model: Evidence From Uk Census Data, Mark Tramner, David Steel Jun 2013

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 …


Analysis Combining Survey And Geographically Aggregated Data, David Steel, Mark Tranmer, D Holt Jun 2013

Analysis Combining Survey And Geographically Aggregated Data, David Steel, Mark Tranmer, D Holt

Professor David Steel

This chapter contains sections titled: Introduction and Overview Aggregate and Survey Data Availability Bias and Variance of Variance Component Estimators Based on Aggregate and Survey Data Simulation Studies Using Auxiliary Variables to Reduce Aggregation Effects Conclusions Acknowledgements


Restricted Quasi-Score Estimating Functions For Sample Survey Data, Yan Lin, David Steel, Raymond Chambers Jun 2013

Restricted Quasi-Score Estimating Functions For Sample Survey Data, Yan Lin, David Steel, Raymond Chambers

Professor David Steel

This paper applies the theory of the quasi-likelihood method to model-based inference for sample surveys. Currently, much of the theory related to sample surveys is based on the theory of maximum likelihood. The maximum likelihood approach is available only when the full probability structure of the survey data is known. However, this knowledge is rarely available in practice. Based on central limit theory, statisticians are often willing to accept the assumption that data have, say, a normal probability structure. However, such an assumption may not be reasonable in many situations in which sample surveys are used. We establish a framework …


The Information In Aggregate Data, David Steel, Eric Beh, Raymond Chambers Jun 2013

The Information In Aggregate Data, David Steel, Eric Beh, Raymond Chambers

Professor David Steel

Ecological inference attempts to draw conclusions concerning individual-level relationships using data in the form of aggregates for groups in the population. The groups are often geographically defined. A fundamental statistical issue is how much information aggregate data contain concerning the relationships and parameters that we are trying to estimate. The information affects the standard errors of estimates as well as the power of any tests of hypothesis. It also affects the ability to tell, from the aggregate data, which different models under consideration are supported by the data. In this chapter likelihood-based methods are considered. We show in general how …


Updating The Dietadvice Website With New Australian Food Composition Data, Yasmine Probst, Holley-Anne Jones, Shannon Lin, S. Burden, David G. Steel, Linda C. Tapsell Dec 2012

Updating The Dietadvice Website With New Australian Food Composition Data, Yasmine Probst, Holley-Anne Jones, Shannon Lin, S. Burden, David G. Steel, Linda C. Tapsell

Professor David Steel

DietAdvice is an Australian self-administered dietary assessment website initially developed in 2003- 2005. The website allows patients to enter their dietary information and dieticians to remotely access and interpret the data. DietAdvice is presently being updated with new Australian food composition data. This study aims to describe the update process for moving from 1995 to 2006 food composition data. The database for the website was developed using grouped food data from the NUTTAB 1995 database. All food groups were cross-matched with the food from the NUTTAB 2006 database using the food ID codes. Rules were applied to determine the suitability …