Weighting in MLwiN

runmlwin: A Program to Run the MLwiN Multilevel Modeling Software from within Stata

We illustrate how to fit multilevel models in the MLwiN package seamlessly from within Stata using the Stata program runmlwin. We argue that using MLwiN and Stata in combination allows researchers to capitalize on the best features of both packages. We provide examples of how to use runmlwin to fit continuous, binary, ordinal, nominal and mixed response multilevel models by both maximum likelih...

A User’s Guide to MLwiN

Multilevel Modelling

Dougal Hutchison at the National Foundation for Educational Research has received ESRC funding for a 10month project which started in January, aimed at developing bootstrapping techniques for correcting for measurement error in dependent and explanatory variables in multilevel models. Jo Morrison and Rachel Felgate of the NFER will be working with him on the project. It is aimed to implement de...

Combining Modelling Strategies to Analyse Teaching Styles Data

This paper combines two estimation procedures: Iterative Generalized Least Squares as used in the software MLwiN; Gibbs Sampling as employed in the software BUGS to produce a modelling strategy that respects the hierarchical nature of the Teaching Styles data and also allows for the endogeneity problems encountered when examining pupil progress.

An Expectation - Maximization Algorithm for Generalised Linear Three - Level Models Jeroen

a three-day introductory workshop to multilevel modelling using MLwiN will take place at the University of Bristol. If you plan to run any workshops using MLwiN, please notify Amy Burch and she will advertise these workshops on the multilevel web site. have been awarded a grant for a two-year research project under the ESRC Research Methods programme. The project is due to start in early 2003 a...