Combining Modelling Strategies to Analyse Teaching Styles Data
This paper combines two estimation procedures: Iterative Generalized Least Squares as used in the sofware MLwiN; Gibbs Sampling as employed in the software BUGS to Produce a modelling strategy that respects the hierachical nature of the Teaching Styles data and also allows for the endogeneity problems encountred when examining pupil progress.
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|Date of creation:||2000|
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