Open AccessGENERALIZED VARIANCE FUNCTIONS FOR A COMPLEX SAMPLE SURVEY
Author(s) -
Johnson Eugene G.,
King Benjamin F.
Publication year - 1987
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.2330-8516.1987.tb00210.x
Subject(s) - jackknife resampling , statistics , variance (accounting) , statistic , sample (material) , mathematics , stratified sampling , sample variance , variance function , sampling (signal processing) , econometrics , computer science , regression analysis , chemistry , accounting , filter (signal processing) , chromatography , estimator , business , computer vision
For a national survey of reading ability among young adults using a multistage, stratified probability sample, generalized variance functions (GVF) were estimated. That is, an attempt was made to express the estimated variance of a statistic as a function of that statistic and other characteristics of the variable of interest. With GVFs estimated from a development sample of variables, predictions of sampling variance were made for other variables in a confirmation sample and comparisons made with conventional jackknife estimates. Conclusions were drawn about the feasibility of use of GVFs, with emphasis on the margin of additional error that is introduced.