MLPowSim - designed for performing sample size/power calculations in multilevel models via simulation
REALCOM (and REALCOM Impute) - Developing multilevel models for REAListically COMplex social science data
runmlwin - Stata command to fit multilevel models in MLwiN from within Stata.
R2MLwiN - Stata command to fit multilevel models in MLwiN from within R.
Stat-JR - a software environment for promoting interactive complex statistical modelling
External Download Resources
TRAMSS Teaching Resources and Materials for Social Scientists offer a free training version of MLwiN to social scientists throughout the world. You can download this training version to gain an idea of how MLwiN works, though please note this is a limited version and is not compatible with our on-line learning materials
Missing data Missing data are a persistent problem in social and other datasets. A standard technique for handling missing values efficiently is known as multiple imputation and the software REALCOM-IMPUTE is unique in that it has been designed to implement this procedure for 2-level data. Apart from being able to deal with 2-level data it can also handle properly categorical data, whether in the response or predictor variables in a model. An interface is provided with MLwiN that allows users to carry out the full procedure and fit their final model semi-automatically.