Statistical Data Editing: Impact on data quality
United Nations Publications, 1994 - Business & Economics - 376 pages
Data editing is an integral and expensive part of the survey process; its impact is fat reaching. This volume examines how editing affects data quality. The aim of the publication is to assist National Statistical Offices in assessing the impact of the data editing process on data quality, that is, in assessing how well the process is working. The book addresses issues of accuracy, relevance, coherence and interpretability.
What people are saying - Write a review
We haven't found any reviews in the usual places.
Other editions - View all
accuracy administrative data algorithm analysis applied approach automatic editing business surveys categorical variables Census CherryPi components computing CPLEX CSAQ data collection data quality data sets data sources developed distribution edit checks edit failures edit rules editing and imputation editing methods editing procedure editing process electronic questionnaire error localisation Euredit evaluation example follow-up Granquist household identify impact implemented improve imputation method imputation process imputed values income ISTAT manual metadata methodology missing values non-response Nordbotten paper performance PL-Editor plausibility indicators population problem publication cells quality indicators Quality Measures records reporting respondents sample selective editing Session on Statistical SIDI simulation solutions Statistical Data Editing statistical product Statistics Canada Statistics Netherlands Statistics Sweden survey data survey process tax data techniques true values U.S. Census Bureau UN/ECE Work Session UNECE units usability testing users variables variance estimation Voorburg weighted