Format
A data frame with 907 observations on the following 9 variables:
school- School identifier.
sex- Pupil gender.
vrq- Verbal Reasoning quotient.
ilea- O-level/CSE examination results.
type- School type: a factor with levels
Comprehensive and Grammar. pupil- Pupil identifier.
cons- Constant (=1).
n_ilea- O-level/CSE examination results (normal scores).
n_vrq- Verbal Reasoning quotient (normal scores).
Source
Rasbash, J., Charlton, C., Browne, W.J., Healy, M. and Cameron, B. (2009) MLwiN Version 2.1. Centre for Multilevel Modelling, University of Bristol. Rasbash, J., Steele, F., Browne, W.J., Goldstein, H. (2012) A User's Guide to MLwiN v2.26. University of Bristol: Centre for Multilevel
Modelling. Aitkin, M. & Longford, N. (1986). Statistical modelling in school
effectiveness studies (with discussion). Journal of the Royal
Statistical Society, Series A, 149:1-43.