CMM researchers are drawn from the Graduate School of Education, Bristol Veterinary School and School of Geographical Sciences. Multilevel Modelling is a University Research Theme. We collaborate with a range of researchers working with multilevel models.
Multilevel Modelling is one of the basic techniques used in quantitative social science research for modelling data with complex hierarchical structures. The Multilevel Modelling research theme focuses on producing new statistical methods for tackling research questions, developing new software for implementing this methodology and disseminating these techniques to the national and international social science community.
We develop new statistical methodology, implemented in software to address unsolved issues in quantitative modelling of social processes.
Longitudinal Effects, Multilevel Modelling and Applications is a node of the third phase of the ESRC National Centre for Research Methods (NCRM)
The principal aim of this project is to examine the extent to which housing transitions and residential location choice are influenced by fertility outcomes such as the birth of a(nother) child or a child reaching primary or secondary school age, allowing for the effects of other social processes such as union formation and dissolution and employment changes.
Each year, the Government publishes school performance tables that report the achievement and progress of pupils in English secondary schools. In the 2011 tables, the Government introduced a number of changes. These changes have important implications and it is therefore imperative that they are critically reviewed and that innovative techniques are developed and applied to explore potential improvements to the accuracy, usefulness and communication of school performance tables.
This grant will do this by pursuing a programme of methodological and substantive research using multilevel modelling, and based on secondary analyses of the Government’s highly detailed pupil and school level performance data which underlie their tables.
The aims of this project are to provide computer-assisted support to increase the skills and understanding of quantitative principles and techniques of researchers in UK social science, and to create innovative tools for reproducible research.
The Centre for Multilevel Modelling's own software enables quantitative social science researchers to become effective multilevel modelling practitioners.
Stat-JR is a software environment for promoting interactive complex statistical modelling. It is designed to make it easy to analyse large and/or complex datasets, learn statistical methods and develop new statistical methodologies.
Graduated modules starting from an introduction to quantitative research progressing to multilevel modelling of continuous and binary data. Go to course modules
The Advanced Quantitative Methods (AQM) pathway of the SWDTC offers ESRC +3 postgraduate research training in the application of advanced quantitative methods in the social sciences and health.
Updated 29 August 2014 by the Centre for Multilevel Modelling
Graduate School of Education, University of Bristol, 2 Priory Road , Bristol BS8 1TX, UK. Tel: +44 (0)117 331 0804