League tables and their limitations: Statistical issues in comparisons of institutional performance

被引:628
作者
Goldstein, H [1 ]
Spiegelhalter, DJ [1 ]
机构
[1] MRC,BIOSTAT UNIT,CAMBRIDGE,ENGLAND
来源
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY | 1996年 / 159卷
关键词
Markov chain Monte Carlo methods; multilevel modelling; physician profiling; ranking; risk shrinkage estimators; stratification; value added;
D O I
10.2307/2983325
中图分类号
O1 [数学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 0701 ; 070101 ;
摘要
In the light of an increasing interest in the accountability of public institutions, this paper sets out the statistical issues involved in making quantitative comparisons between institutions in the areas of health and education. We deal in detail with the need to take account of model-based uncertainty in making comparisons. We discuss the need to establish appropriate measures of institutional 'outcomes' and base-line measures and the need to exercise care and sensitivity when interpreting apparent differences. The paper emphasizes that statistical methods exist which can contribute to an understanding of the extent and possible reasons for differences between institutions. It also urges caution by discussing the limitations of such methods.
引用
收藏
页码:385 / 409
页数:25
相关论文
共 56 条
[1]   STATISTICAL MODELING ISSUES IN SCHOOL EFFECTIVENESS STUDIES [J].
AITKIN, M ;
LONGFORD, N ;
PLEWIS, IF ;
WAKEFIELD, WB ;
CHATFIELD, C ;
GOLDSTEIN, H ;
REYNOLDS, D ;
COX, D ;
ECOB, R ;
GRAY, J ;
BELL, JF ;
BURSTEIN, L ;
DAWID, AP ;
HEALY, MJR ;
HUTCHISON, DA ;
KILGORE, S ;
PENDLETON, WW ;
LAIRD, NM ;
LOUIS, TA ;
PRAIS, SJ ;
RUTTER, M ;
MAUGHAN, B ;
OUSTON, J ;
SHARE, DL ;
SMITH, TMF .
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY, 1986, 149 :1-43
[2]  
*AUD COMM, 1995, LOC AUTH PERF IND, V1
[3]  
Bernardo Jose M, 2009, BAYESIAN THEORY, V405
[4]   BAYESIAN COMPUTATION AND STOCHASTIC-SYSTEMS [J].
BESAG, J ;
GREEN, P ;
HIGDON, D ;
MENGERSEN, K .
STATISTICAL SCIENCE, 1995, 10 (01) :3-41
[5]  
BUMILLER E, 1995, NY TIMES 0906
[6]  
CHARLTON JRH, 1983, LANCET, V1, P691
[7]   EMPIRICAL BAYES ESTIMATES OF AGE-STANDARDIZED RELATIVE RISKS FOR USE IN DISEASE MAPPING [J].
CLAYTON, D ;
KALDOR, J .
BIOMETRICS, 1987, 43 (03) :671-681
[8]   USE OF THE CRIB (CLINICAL RISK INDEX FOR BABIES) SCORE IN PREDICTION OF NEONATAL-MORTALITY AND MORBIDITY [J].
DECOURCYWHEELER, RHB ;
WOLFE, CDA ;
FITZGERALD, A ;
SPENCER, M ;
GOODMAN, JDS ;
GAMSU, HR .
ARCHIVES OF DISEASE IN CHILDHOOD-FETAL AND NEONATAL EDITION, 1995, 73 (01) :F32-F36
[9]  
*DEP ED, 1994, STAT B, V994
[10]  
*DEP ED, 1995, STAT B, V4