Multilevel Statistical Models Harvey Goldstein

Methods in School Effectiveness Research

This paper discusses the methodological requirements for valid inferences from school effectiveness research studies. The requirements include long term longitudinal data and proper statistical modelling of hierarchical data structures. The paper outlines the appropriate multilevel statistical models and shows how these can model the complexities of school, class and student level data.

Nonlinear multilevel models, with an application to discrete response data

Nonlinear models arise in a number of circumstances, notably when modelling discrete data. In this paper we consider the multilevel nonlinear model. As in linear multilevel models, we shall consider the general case where any of the model coefficients can be random at any level, and where the random parameters may also be specified functions of the fixed parameter estimates, discussed by H. Gol...

Multilevel Models for Meta-analysis of Studies with Binary Outcomes

Multilevel Models in the Study of Dynamic Household Structures

A modelling procedure is proposed for complex, dynamic household data structures where households change composition over time. Multilevel multiple membership models are presented for such data and their application is discussed with an example. Goldstein, Harvey, Rasbash, Jon, Browne, William, Woodhouse, Geoffrey et Poulain, Michel, 2000. Modèles multi-niveaux pour l’étude de la structure des ...

Interviewer effects on non-response propensity in longitudinal surveys: a multilevel modelling approach

The paper investigates two different multilevel approaches, the multilevel cross-classified and the multiple-membership models, for the analysis of interviewer effects on wave non-response in longitudinal surveys. The models proposed incorporate both interviewer and area effects to account for the non-hierarchical structure, the influence of potentially more than one interviewer across waves an...