Show simple item record

dc.contributor.authorSpencer, Neil
dc.date.accessioned2008-12-10T15:03:06Z
dc.date.available2008-12-10T15:03:06Z
dc.date.issued2000
dc.identifier.citationSpencer , N 2000 ' Combining Modelling Strategies to Analyse Teaching Styles Data ' Business School Working Papers , vol. UHBS 2000-14 , Statistics Technical Report , vol. 3 , University of Hertfordshire .
dc.identifier.otherdspace: 2299/2689
dc.identifier.urihttp://hdl.handle.net/2299/2689
dc.description[Full text of this paper is not available in the UHRA]
dc.description.abstractThis paper combines two estimation procedures- Iterative Generalized Least Squares as used in the software MLwiN; Gibbs Sampling as employed in the software BUGS to produce a modelling strategy that respects the hierarchical nature of the Teaching Styles data and also allows for the endogeneity problems encountered when examining pupil progress.en
dc.language.isoeng
dc.publisherUniversity of Hertfordshire
dc.relation.ispartofseriesBusiness School Working Papers
dc.relation.ispartofseriesStatistics Technical Report
dc.titleCombining Modelling Strategies to Analyse Teaching Styles Dataen
dc.contributor.institutionDepartment of Marketing and Enterprise
dc.contributor.institutionSocial Sciences, Arts & Humanities Research Institute
dc.contributor.institutionHertfordshire Business School
dc.contributor.institutionStatistical Services Consulting Unit
dc.contributor.institutionHealth Services and Medicine
dc.contributor.institutionHealthcare Management and Policy Research Unit
rioxxterms.typeWorking paper
herts.preservation.rarelyaccessedtrue


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record