A comparison of modelling strategies for value added analyses of educational data

Authors
Spencer, N. and Fielding, A.
Year
2002
Journal
Computational Statistics, 17:1, 103-116
DOI
hdl.handle.net/2299/2682
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 through the BUGS software. We conclud that the approach offered by the BUGS software has advantages over more classical estimation methods.

Number of levels
2
Model data structure
Response types
Multivariate response model?
No
Longitudinal data?
No
Substantive discipline
Substantive keywords
Paper submitted by
Anthony Fielding, Graduate School of Education (Bristol) , economics (Birmingham), University of Bristol, University of Birmingham, antony.fielding@bristol.ac.uk, a.fielding@bham.ac.uk
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