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.

Research >>

We develop new statistical methodology, implemented in software to address unsolved issues in quantitative modelling of social processes.

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 including Random Intercept Models, Residuals, Measuring Dependency, Covariance and Correlation Matrices, and Random Slope Models.

drawing pinNews >>

MLwiN logoMLwiN software >>

The Centre for Multilevel Modelling's own software enables quantitative social science researchers to become effective multilevel modelling practitioners.

  • Upgrade to latest version
  • Download for free if you are a UK academic
  • Software help: MLwiN FAQs, MLwiN user forum
  • 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.
  • runmixregls Stata command to fit mixed-effects location scale models in MIXREGLS from within Stata.

Fiona Steele, CMM Director Workshops >>