MCMC sampling for a multilevel model with nonindependent residuals within and between cluster units
Browne, William Goldstein, Harvey
Browne, William
Goldstein, Harvey
Author
Abstract
In this article, we discuss the effect of removing the independence assumptions between the residuals in two-level random effect models. We first consider removing the independence between the Level 2 residuals and instead assume that the vector of all residuals at the cluster level follows a general multivariate normal distribution. We demonstrate how this assumption can allow us to fit higher levels of clustering and school competition effects via an example from education. We then consider removing the assumption of independence between Level 1 residuals within clusters. We show how this extension can allow time series type models. Both normal and binary responses are considered.
Keywords
Date
2010
Type
Journal article
Journal
Journal of Educational and Behavioral Statistics
Book
Volume
35
Issue
4
Page Range
453-473