The Centre for Multilevel Modelling (CMM) is a research centre based at the University of Bristol

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.

Research >>

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)

Interrelationships between housing transitions and fertility in Britain and Australia


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.

Multilevel Modelling of the Government's New School Performance Measures, 'Floor Standards' Target and 'Narrowing the Gap' Priority


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 use of interactive electronic-books in the teaching and application of modern quantitative methods in the social science


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.

Publications and Gallery of Multilevel Papers

Software >>

MLwiN logoMLwiN

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.

Other software


  • Realcom (Developing multilevel models for REAListically COMplex social science data). Realcom-Impute Realcom macros with interface for handling missing data
  • MLPowSim Application for performing sample size/power calculations in multilevel models via simulation
  • R2MLwiN is an R command interface to the MLwiN multilevel modelling software package, allowing users to fit multilevel models using MLwiN from within the R environment.
  • runmlwin Stata command to fit multilevel models in MLwiN from within Stata.

Learning >>

On-line course

Graduated modules starting from an introduction to quantitative research progressing to multilevel modelling of continuous and binary data. Go to course modules

Videos and voice-over presentations


Advanced quantitative methods in social science and health


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.

Workshops >>

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Learning materials from previous workshops