Topic A: Establishing patterns of error in household
and individual level consumption data
This project concerns the relationship between a range of
consumption patterns and energy consumption levels. The project will review
approaches to the estimation of reported 'consumption error'; combine and/or
link consumption and other datasets from various sources to produce a set of
experimental linked consumption datasets; develop methods to analyse the
characteristics and distribution of error in reported consumption of, for
example, water and energy.
Topic B: The Residential Mobility of Mental Health
Service Users
The aim of this research is to
enhance understanding of the residential mobility of patients receiving NHS
mental health treatment. Tracking geo-referenced patient movements via
administrative sources, the project will undertake multilevel longitudinal
analysis of individual and area variables to predict the numbers of moves,
comparing trajectories of people with mental illness with a comparison sample
of others treated for conditions that are also likely to give rise to multiple
hospital treatment episodes.
Topic C: Multistage cluster sampling using geo-frame
In traditional approaches to
multistage sampling design, the clusters are fixed in advance. This PhD
concerns investigation of multistage cluster sampling methodology in which
geo-referenced information is incorporated into the sampling frame. The project
will explore the possibility of using administrative data to perform dynamic
clustering in order to minimize the intra-cluster correlation subject to the
constraints of cost or work load, and thereby achieve to better trade-off
between cost and design efficiency.
Topic D: Combining survey
and administrative data for nonresponse investigation
This project aims to combine
survey data with administrative data to analyse survey nonresponse behaviour.
The project will use multilevel modelling to investigate key determinants of
nonresponse and representativity indicators and to develop nonresponse
adjustment methods. The project will inform survey practice on how to analyse
and adjust for nonresponse using administrative data. The research will improve
survey designs including adaptive and responsive survey designs.
Details of how to apply are provided on the Southampton ESRC
DTC website at http://www.southampton.ac.uk/esrcdtc.
Applicants must apply to the University and submit the additional DTC form
downloadable from the website. The closing date for applications is Monday
28th February 2014 and interviews will be arranged with the
short-listed applicants soon after this closing date. These studentships are
for entry in October 2014.
For informal enquiries and further detail on any of these
topics, contact: Prof Peter W Smith (P.W.Smith@soton.ac.uk),
Director, ADRC England; or Prof David Martin (D.J.Martin@soton.ac.uk), Deputy
Director, ADRC England