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Developing Statistical Modelling in the Social Sciences

  • Start date: 01 April 2005
  • End date: 31 October 2008

This node- part of the NCRM programme - brings together statisticians and leading social scientists at Lancaster and Warwick to develop novel statistical methodology for the social sciences and to provide an extensive programme of training.

The research of this application focuses on the development of efficient and appropriate statistical models for complex social science data.  It will address emerging problems in quantitative social science in three different disciplines - criminology, sociology and psychology, each of which is concerned with the analysis of longitudinal data through a social or developmental context. Each requires the development of new statistical methodology to proceed. Secondly, in addition, the research programme provides an overarching project which will feed methodology into each of these problems, by providing efficient statistical computing algorithms which will improve the efficiency of random effects modelling, and allow realistically sized problems to be analysed.

Training and capacity building is a crucial part of this grant. An extensive programme of short courses will be given by the team, with web-based material, New short courses will  be developed around the research topics. Software development will allow methods to be used easily, and training courses based around the strands of the research programme will provide methodological detail.

  • Outputs (132)

Grant holder

Professor Brian Francis

Programme name

None

Co - applicants

Professor Roger Penn

Professor Keith Soothill

Professor David Firth

Dr Damon Mark Berridge

Professor Peter Diggle

Professor Charlie Lewis

Professor John Copas

Grant amount

£865,724.67

Grant reference

RES-576-25-5020

Institution

Lancaster University

Discipline

Social Stats., Comp. & Methods

Statistics, Computing and Methodology

Grant type

Research Grant