On Variance Estimation with Imputed Survey Data
作者:
J.N. K. Rao,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1996)
卷期:
Volume 91,
issue 434
页码: 499-506
ISSN:0162-1459
年代: 1996
DOI:10.1080/01621459.1996.10476910
出版商: Taylor & Francis Group
关键词: Adjusted imputed values;Item nonresponse;Jackknife estimator of variance;Linearized jackknife
数据来源: Taylor
摘要:
Unit nonresponse and item nonresponse both occur frequently in surveys. Unit nonresponse is customarily handled by weighting adjustment, whereas item nonresponse is usually treated by some form of imputation. In particular, deterministic or stochastic imputation is often used to assign values for missing item responses. We provide an account of some recent work on jackknife variance estimation based on adjusted imputed values, using only a single imputation and hence a single completed data set. We also present linearized versions of the jackknife variance estimators. We study both stratified simple random sampling and stratified multistage sampling. Existing computer programs for jackknife and linearization variance estimation can be modified to implement the proposed variance estimators without requiring the creation and permanent retention of supplemental data sets. But for secondary analyses, the completed data set must include information on response status for each item as well as on the imputation class.
点击下载:
PDF (1448KB)
返 回