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Combining modelling strategies to analyse Teaching Styles data

This paper combines two estimation procedures: Iterative Generalized Least Squares as used in the software MLwiN; Gibbs Sampling as employed in thesoftware BUGS to produce a modelling strategy that respects the hierarchical natureof the Teaching Styles data and also allows for the endogeneity proble...

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Bibliographic Details
Published in:Quality & quantity 2002-05, Vol.36 (2), p.113-127
Main Author: SPENCER, Neil H
Format: Article
Language:English
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Summary:This paper combines two estimation procedures: Iterative Generalized Least Squares as used in the software MLwiN; Gibbs Sampling as employed in thesoftware BUGS to produce a modelling strategy that respects the hierarchical natureof the Teaching Styles data and also allows for the endogeneity problems encountered when examining pupil progress.[PUBLICATION ABSTRACT]
ISSN:0033-5177
1573-7845
DOI:10.1023/A:1014969805388