This studentship (Social Statistics pathway) will focus on linking survey data with administrative and survey process data (paradata). Analysis techniques may be developed and applied in the substantive context of improving non-sampling error (nonresponse and measurement errors) in surveys or for using linked household energy data. The project will use a range of multivariate analysis techniques, including multilevel modelling, longitudinal or Bayesian data analysis techniques.

To apply, please contact NCRM Centre Manager Shavi Parhar S.Parhar<στο>soton.ac.uk for an application form. Closing date for applications: 3 February 2015. For informal enquiries contact Dr. Gabriele Durrant g.durrant<στο>soton.ac.uk