A Comparison of Modelling Strategies for Value-Added Analyses of Educational Data
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.
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
|Date of creation:||2000|
|Date of revision:|
|Contact details of provider:|| Postal: University of Hertfordshire, School of Business, Hertford Campus, Mangrove Road Hertford SG13 8QF, UK.|
Phone: +44 (0)1707 284800
Fax: +44 (0)1707 284870
Web page: http://www.herts.ac.uk/courses/schools-of-study/business/
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:fth:hertbu:2000:7. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Thomas Krichel)
If references are entirely missing, you can add them using this form.