| dc.contributor.author | Spencer, Neil | |
| dc.contributor.author | Fielding, A. | |
| dc.date.accessioned | 2008-12-10T13:12:14Z | |
| dc.date.available | 2008-12-10T13:12:14Z | |
| dc.date.issued | 2000 | |
| dc.identifier.citation | Spencer , N & Fielding , A 2000 ' A Comparison of Modelling Strategies for Value-Added Analyses of Educational Data ' Business School Working Papers , vol. UHBS 2000-7 , Statistics Technical Report , vol. 2 , University of Hertfordshire . | |
| dc.identifier.other | dspace: 2299/2682 | |
| dc.identifier.uri | http://hdl.handle.net/2299/2682 | |
| dc.description | [Full text of this paper is not available in the UHRA] | |
| dc.description.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. | en |
| dc.language.iso | eng | |
| dc.publisher | University of Hertfordshire | |
| dc.relation.ispartofseries | Business School Working Papers | |
| dc.relation.ispartofseries | Statistics Technical Report | |
| dc.title | A Comparison of Modelling Strategies for Value-Added Analyses of Educational Data | en |
| dc.contributor.institution | Hertfordshire Business School | |
| dc.contributor.institution | Statistical Services Consulting Unit | |
| dc.contributor.institution | Managing Complex Change Research Group | |
| rioxxterms.type | Working paper | |
| herts.preservation.rarelyaccessed | true | |
