About the resource:


Longitudinal data are important for many social science disciplines as such data facilitates the investigation of empirical research questions relating to social change and social stability. Such investigations are not possible with cross-sectional data. At the current time there is a shortage of social scientists with skills appropriate for longitudinal data analysis. In the UK there is an increasing number of large-scale quantitative longitudinal datasets, and currently most remain under-analysed.

The overarching aim of this resource was to provide practical illustrations of data management and data analysis techniques that are necessary to understand how to undertake quantitative longitudinal analysis of large scale secondary survey results. The archived materials include presentation slides and handouts; lab sessions (exercises with guides) from project workshops (see Archived Documents link).