Multilevel (hierarchical) modeling is a generalization of linear and generalized linear modeling in which regression coefficients are themselves given a model, whose parameters are also estimated from ...

Louis M. Rocconi, Analyzing multilevel data: comparing findings from hierarchical linear modeling and ordinary least squares regression, Higher Education, Vol. 66, No. 4 (October 2013), pp. 439-461 ...

Multilevel (random-effects) extensions of standard statistical techniques, including multiple linear regression and logistic regression, will be considered. The course will have an applied emphasis ...

It stands for multi-level regression and post-stratification. YouGov’s MRP model correctly predicted the 2017 UK general election result, including shock results in seats such as Kensington and ...

Pre-requisites We assume no prior knowledge of multilevel modelling. However, participants should be familiar with estimating and interpreting linear regression models, including the writing and ...