A Comparison of Modelling Strategies for Value-Added Analyses of Educational Data

Neil Spencer, A. Fielding

Research output: Working paper

Abstract

Modelling strategies for value-added multilevel models are examined. These types of models typically include an endogenous variable and this causes difficulties for the standard estimation techniques that are commonly used to analyse multilevel models. 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. We conclude that that the approach offered by the BUGS software has advantages over more classical estimation methods.
Original languageEnglish
PublisherUniversity of Hertfordshire
Publication statusPublished - 2000

Publication series

NameBusiness School Working Papers
PublisherUniversity of Hertfordshire
VolumeUHBS 2000-7
NameStatistics Technical Report
PublisherUniversity of Hertfordshire
Volume2

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