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Engineering

Professor David Steel

Survey

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Full-Text Articles in Science and Technology Studies

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


An Evaluation Of A Large-Scale Cati Household Survey Using Random Digit Dialling, Don Bennett, David Steel Jun 2013

An Evaluation Of A Large-Scale Cati Household Survey Using Random Digit Dialling, Don Bennett, David Steel

Professor David Steel

omputer-assisted telephone interviewing and random digit dialling are increasingly being used to conduct household surveys in Australia. However, there is little published information concerning Australian experience with such surveys. In 1995 the Government Statistician's Office in Queensland conducted a household survey to study population migration using these techniques. The survey involved a sample of 110 000 telephone numbers resulting in 38 000 responding households. This article describes a computerized survey management system that was developed and which provided information concerning important operational and quality aspects of the survey.


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 …


Inclusion Of Mobile Phone Numbers Into An Ongoing Population Health Survey In New South Wales, Australia: Design, Methods, Call Outcomes, Costs And Sample Representativeness, Margo Barr, Jason J. Van Ritten, David G. Steel, Sarah V. Thackway Jun 2013

Inclusion Of Mobile Phone Numbers Into An Ongoing Population Health Survey In New South Wales, Australia: Design, Methods, Call Outcomes, Costs And Sample Representativeness, Margo Barr, Jason J. Van Ritten, David G. Steel, Sarah V. Thackway

Professor David Steel

Background: In Australia telephone surveys have been the method of choice for ongoing jurisdictional population health surveys. Although it was estimated in 2011 that nearly 20% of the Australian population were mobile-only phone users, the inclusion of mobile phone numbers into these existing landline population health surveys has not occurred. This paper describes the methods used for the inclusion of mobile phone numbers into an existing ongoing landline random digit dialling (RDD) health survey in an Australian state, the New South Wales Population Health Survey (NSWPHS). This paper also compares the call outcomes, costs and the representativeness of the resultant …