Researchers

Damon Berridge, Rob Crouchley, Brian Francis, Mick Green, Audrienne Cutajar Bezzina, Paul Dolby

Aims and Objectives

The Centre for Applied Statistics will provide a National Support Service for Social Scientists.

This includes a web-based short course programme providing a range of training pathways so that social scientists can develop advanced quantitative skills in the manner and at the time convenient to them

Three inter-related components

1. Short course programme:

27 short courses with material free to download.

The short courses are now certified by Lancaster University.

There are bursaries available for short course participants

There will also be two master classes per year on quantitative and qualitative software and statistical modelling.

http://www.cas.lancs.ac.uk/short_courses/index.html

2. TRAMSS: Teaching Resources and Materials for Social Scientists

New Training material will include an introduction to the R system and fitting generalised linear model in R. This will allow the teaching material in TRAMSS to be extended to include all aspects of the analysis of longitudinal data that are covered in the Centre's short courses.

http://tramss.data-archive.ac.uk/Software/index.asp

3. A National Statistical Support Service For Social Scientists

An aim of the Centre for Applied Statistics is to promote good statistical practice in the analysis of panel and other micro-level longitudinal data in the social sciences. The Centre has a long and successful track record of collaboration with social sciences and of publishing methodological work that is accessible to non-statisticians. This support facility, combined with the web-based short course programme and TRAMSS, will provide different training pathways to enable social scientists to develop skills in the manner and at the time that is convenient for them. The Centre will be training social scientists to obtain the skills necessary for them to be able to contribute to academic debates in Europe and the U.S.

http://www.cas.lancs.ac.uk/consultancy