A comparison of modeling strategies for value-added analysis of education data
type: Item
instance of: scholarly article
title: A comparison of modeling strategies for value-added analysis of education data
zbMATH Open document ID: 1010.62111
author: Neil H. Spencer
author: Antony Fielding
published in: Computational Statistics
publication date: 2003-02-06T00:00:00Z
review text: This paper deals with a multilevel model (based on hierarchically structured education data) which is an example of a common situation where classical assumptions of independence of explanatory variables and random effects are no longer valid. This fact causes difficulties in applications of standard estimation techniques. Two alternative estimation strategies are proposed: one using an instrumental variable approach and the other using a Bayesian analysis as available through the BUGS software. The authors conclude that the BUGS analysis has certain advantages over the classical estimation methods.
Mathematics Subject Classification ID: 62P25
Mathematics Subject Classification ID: 62F15
zbMATH DE Number: 1865442
zbMATH Keywords: hierarchical modelling
zbMATH Keywords: iterative generalized least squares
zbMATH Keywords: Gibbs sampling
Wikidata QID: Q107391209
MaRDI profile type: Publication
full work available at URL: s001800200093
OpenAlex ID: W1604992152
DOI: 10.1007/S001800200093
description: scientific article; zbMATH DE number 1865442