The Centre for Multilevel Modelling (CMM) is a research centre based at the University of Bristol. Our researchers are drawn from the School of Education. We collaborate with a range of researchers in the School of Geographical Sciences, School of Social and Community Medicine and School of Veterinary Sciences 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.



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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. It also provides access to imputation methods for handling multilevel missing data via downloadable templates.

Get StatJR

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.

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Learning materials from previous workshops.

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