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