The workshop will be based on two sessions a day: morning and afternoon. Each session is usually composed of three parts:
All the modelling will be done in the software environment MLwiN 2.11.
Outline of sessions:
Sessions 1 to 8 (Monday through Thursday):
concepts, specification and interpretation of 2-level model, continuous response
Sessions 9 & 10 (Friday):
IGLS/RIGLS estimation, introduction to MCMC estimation; 3-level model; discrete response
At the start of the course, building on standard single-level models, we develop the two-level model with continuous predictors and response. Examples include house-prices varying over districts, and pupil progress varying by school. Later, these models are extended to cover complex variation, both within and between levels, three-level models, and models with categorical predictors and response (the multilevel logit model). Throughout the course, we shall use graphical examples, verbal equations, algebraic formulation, class-based model interpretation, and practical modelling using MLwiN. At the end of the course we will discuss more technical issues. This will include full Bayesian estimation as well as maximum likelihood estimates (IGLS/RIGLS). We will also discuss and illustrate shrinkage, and precision weighted estimation. Finally, we will also look at multilevel logit and spatial models."