Modelling the effect of pupil mobility on school differences in educational achievement

Journal of the Royal Statistical Society. Series A: Statistics in Society

Volumn 170, Issue 4, 2007, Pages 941-954

  Goldstein, Harvey ^a   Burgess, Simon ^a   McConnell, Brendon ^a  

^a UNIVERSITY OF BRISTOL   (United Kingdom)

Author keywords

Cross classified model; Educational attainment; Mobility; Multilevel model; Multiple membership model; National pupil database; Pupil level annual school census; Random effects; School effectiveness; Value added; Variance components

Indexed keywords

EID: 34848893988     PISSN: 09641998     EISSN: 1467985X     Source Type: Journal    
DOI: 10.1111/j.1467-985X.2007.00491.x     Document Type: Article

References (18)

1. Aaronson, D., Barrow, L. Sander, W. (2007) Teachers and student achievement in the Chicago public high schools. J. Lab. Econ., 25, 95 136.
2. Browne, W. J. (2004) MCMC Estimation in MLwiN, version 2.0. London : Institute of Education.
3. Browne, W., Goldstein, H. Rasbash, J. (2001) Multiple membership multiple classification (MMMC) models. Statist. Modllng, 1, 103 124.
4. Bryk, A. S. Raudenbush, S. W. (2002) Hierarchical Linear Models. Newbury Park : Sage.
5. Goldstein, H. (2001) Using pupil performance data for judging schools and teachers: scope and limitations. Br. Educ. Res. J., 27, 433 442.
6. Goldstein, H. (2003) Multilevel Statistical Models, 3rd edn. London : Arnold.
7. Goldstein, H. Fogelman, K. (1974) Age standardisation & seasonal effects in mental testing. Br. J. Math. Statist. Psychol., 44, 109 115.
8. Goldstein, H., Huiqi, P., Rath, T. Hill, N. (2000a) The Use of Value Added Information in Judging School Performance. London : Institute of Education.
9. Goldstein, H., Rasbash, J., Browne, W., Woodhouse, G. Poulain, M. (2000b) Multilevel models in the study of dynamic household structures. Eur. J. Popln, 16, 373 387.
10. Goldstein, H., Rasbash, J., Yang, M., Woodhouse, G., Pan, H., Nuttall, D. Thomas, S. (1993) A multilevel analysis of school examination results. Oxf. Rev. Educ., 19, 425 433.
11. Goldstein, H. Sammons, P. (1997) The influence of secondary and junior schools on sixteen year examination performance: a cross-classified multilevel analysis. School Effect. School Improvmnt, 8, 219 230.
12. Kane, T. J. Staiger, D. O. (2005) Using imperfect information to identify effective teachers. Working Paper. Dartmouth College, Hanover.
13. Rasbash, J., Steele, F. Browne, W. (2004) A User's Guide to MLwiN Version 2.0. London : Institute of Education.
14. Raudenbush, S. W. Bryk, A. S. (1989) Quantitative models for estimating teacher and school effectiveness. In Multilevel Analysis of Educational Data (ed. R. D. Bock). New York : Academic Press.
15. Raudenbush, S. W. Willms, J. D. (1995) The estimation of school effects. J. Educ. Behav. Statist., 20, 307 336.
16. Rivkin, S. G., Hanushek, E. A. Kain, J. F. (2005) Teachers, schools and academic achievement. Econometrica, 73, 417 458.
17. Rockoff, J. E. (2004) The impact of individual teachers on student achievement: evidence from panel data. Am. Econ. Rev., 94, 247 252.
18. Spiegelhalter, D. J., Best, N. G., Carlin, B. P. van der Linde, A. (2002) Bayesian measures of model complexity and fit (with discussion). J. R. Statist. Soc. B, 64, 583 639.