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.
News >>
- New training materials on the LEMMA online course
- Direct Bayesian Inference for Generalised Linear Models: Short Course, 15 May 2013
- MLwiN 2.27 released (12-Mar-13)
- Gallery of Multilevel Papers and Multilevel Showcase
- Deadline extended for applications to Multilevel Modelling of Discrete Response Data workshop
- Stat-JR: Second beta release
- New Challenges for Longitudinal Data Analysis, Royal Statistical Society, London
- Seminar with Professor Don Hedeker, 26 February 2013
- Sadly, Tony Fielding, Visiting Professor at CMM, has passed away. His obituary from CMM is here.
- Winner of the Jon Rasbash Prize announced
- MLwiN 2.26 released (16-Oct-12)
- R2MLwiN - a new R package to access MLwiN functionality
- Dr. George Leckie awarded ESRC Future Research Leaders Grant
MLwiN 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.
Workshops >>
- Research Workshop in Multilevel Modelling using MLwiN, 11-13 Sept 2013
- Modelling of Discrete-time Event History Analysis, 16-17 July 2013
- Introduction to Multilevel Modelling using MLwiN, 6th – 7th June 2013, Swansea University
- If you would like to be informed of future workshops, you can subscribe to the Centre for Multilevel Modelling Newsletter.
- Learning materials from previous workshops