We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
A resampling approach to estimate variance components of multilevel models.
- Authors
Wang, Zilin; Thompson, Mary E.
- Abstract
In a multilevel model for complex survey data, the weight-inflated estimators of variance components can be biased. We propose a resampling method to correct this bias. The performance of the bias corrected estimators is studied through simulations using populations generated from a simple random effects model. The simulations show that, without lowering the precision, the proposed procedure can reduce the bias of the estimators, especially for designs that are both informative and have small cluster sizes. Application of these resampling procedures to data from an artificial workplace survey provides further evidence for the empirical value of this method. The Canadian Journal of Statistics 40: 150-171; 2012 © 2012 Statistical Society of Canada
- Subjects
MULTILEVEL models; POPULATION; RESAMPLING (Statistics); NONPARAMETRIC statistics; SIMULATION methods &; models
- Publication
Canadian Journal of Statistics, 2012, Vol 40, Issue 1, p150
- ISSN
0319-5724
- Publication type
Article
- DOI
10.1002/cjs.10136