Open AccessCOMPARISON OF EFFICIENCY OF JACKKNIFE AND VARIANCE COMPONENT ESTIMATORS OF STANDARD ERRORS
Author(s) -
Longford Nicholas T.
Publication year - 1992
Publication title -
ets research report series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.235
H-Index - 5
ISSN - 2330-8516
DOI - 10.1002/j.2333-8504.1992.tb01455.x
Subject(s) - jackknife resampling , resampling , estimator , standard error , statistics , variance (accounting) , robustness (evolution) , standard deviation , mathematics , component (thermodynamics) , variance components , econometrics , population , computer science , biochemistry , chemistry , physics , accounting , business , gene , thermodynamics , demography , sociology
Large scale surveys usually employ a complex sampling design, and as a consequence no standard methods for estimation of the standard errors associated with the estimates of population means are available. Resampling methods, such as jackknife or bootstrap are often used, with reference to their properties of robustness and reduction of bias. We examine a method based on variance component models as an alternative to the jackknife procedure used for calculation of the standard errors for the subpopulation means of proficiency scores in a large scale survey of education in the U.S.A.