ONS


Variable Constructions in Longitudinal Research
   

A seminar under the ESRC Research Methods Programme,

Longitudinal Data Analysis in the Social Sciences project

This page refers to a seminar held on 11th May 2007 under the title 'Variable Constructions in Longitudinal Research'. This is an introductory seminar/workshop concerned with issues of measurement and meaning in longitudinal survey analysis.

[Download the event flyer].

 


 

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Booking arrangments:

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Abstract:

This is an introductory workshop suitable for social science researchers with an interest in the opportunities and challenges associated with longitudinal survey data. 'Variable constructions' concern the processes by which survey measures are defined and subsequently interpreted by research analysts. Decisions about variable constructions are amongst the most fundamental of any survey research process, and are particularly pronounced in the context of longitudinal studies. Yet issues of variable constructions are often neglected in introductory methodological accounts.

This workshop will feature a combination of methodological reviews, and expert research presentations, in order to provide an accessible introduction to this important topic in the context of large scale longitudinal social surveys. Attention will focus particularly on issues concerned with the measurement of 'class', 'ethnicity' and 'education' in longitudinal government surveys in the UK, though many materials will have a wider relevance. A key aim of the meeting will be to emphasise the practical constraints and issues which impact upon decisions over the construction of such 'key variables' in longitudinal research projects. 

Cross-references will often be made to the resources available from the project 'Longitudinal Data Analysis in the Social Sciences' (www.longitudinal.stir.ac.uk). These pages include introductory talks and resources on longitudinal survey data, including example command files illustrating data management and data analysis tasks in the popular packages SPSS and Stata.

 

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Selected links:

 

 

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Last modified 9 May 2007
This document is maintained byVernon Gayle and Paul Lambert

(vernon.gayle@stirling.ac.uk ; paul.lambert@stirling.ac.uk)