Modelling Key Variables in Social Science Research

An ESRC-funded research seminar held at the Royal Statistical Society, London, 24/25 November 2011

Background

A number of ‘key variables’ pervade social science analyses, for example occupation, education and ethnicity. The measurement and coding of variables related to these concepts, and their appropriate preparation for advanced statistical modelling, is not trivial. The focus of this research seminar will be to highlight the problems and issues associated with the operationalisation of key social science variables in advanced statistical modelling. The presentations showcase statistical modelling and will include examples of complex social science data, including longitudinal and hierarchical data structures. Advanced issues such as dealing with missing data appropriately will also feature.

The seminar is supported by the ESRC National Centre for Research Methods, and the meeting draws upon inputs from, amongst others, the ESRC NCRM Lancaster-Warwick-Stirling research Node; the ESRC DSR E-Stat Node, and the ESRC DSR DAMES research Node

Presentations/papers

Links to follow

Last updated 23/NOV/2011, by Paul Lambert