ADMIN

(Institute of Education, University of London) was interested in modelling the complexities and core processes that underlie observational social science data and in developing a set of statistical frameworks for combining data from different sources.

BIAS II

(Imperial College London) focused on addressing methodological challenges in the modelling of biases and complex structure in observational data, in particular surveys, longitudinal studies and small area data.

Lancaster-Warwick-Stirling (LWS)

Lancaster-Warwick-Stirling node aimed to develop and extend statistical methodology and models related to correlated and longitudinal data with substantive applications in criminology, psychology, sociology and education.

LEMMA II

(University of Bristol) focused on the development of new multilevel modelling methodology to address important social science research questions and capacity building in quantitative social science.

QUIC

(University of Surrey and Royal Holloway, University of London) was concerned with the integration and analysis of multiple data sources using CAQDAS software and the dissemination of such techniques through a training and capacity building programme.

Realities

(University of Manchester) specialised in researching and analysing 'relationalities' - personal relationships and connections between people. Their emphasis was on developing methods that can capture the combination of vital, tangible and intangible dynamics in the way that personal relationships are lived.

SIMIAN

(University of Surrey and the University of Leicester) developed the methodology and the applicability of simulation in the social sciences.