A multilevel analysis of school improvement: changes in schools’ performance over time

Authors
Gray, J., Jesson, D., Goldstein, H., Hedger, K., and Rasbash, J.
Year
1995
Journal
School Effectiveness and School Improvement, 13:16, 1643-1655
Abstract

An efficient procedure is described for specifying and estimating parameters of general mixed models that contain both hierarchical and crossed random factors. The approach, using a model formulated for purely hierarchical structured data, is illustrated for the continuous response linear model with extensions to generalized linear, nonlinear, and multivariate models.

Number of levels
3
Model data structure
Response types
Multivariate response model?
No
Longitudinal data?
Yes
Substantive discipline
Impact

Shows correlations between school effects over time. Impacts on interpretation of school effects and league tables in terms of predicting school performance.

Paper submitted by
Harvey Goldstein, Graduate School of Education, University of Bristol, h.goldstein@bristol.ac.uk
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