The general application of significance editing

The significance editing technique reduces and prioritises the input editing workload in a sample survey. The method is based on estimating the impact of resolving individual edit queries on the survey estimates. Using these impacts it is possible to ignore queries of trivial value while making s...

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Main Authors: Lawrence, David, McKenzie, Richard
Format: Journal Article
Language:English
Published: Statistics Sweden 2000
Subjects:
Online Access:http://www.scb.se/contentassets/ca21efb41fee47d293bbee5bf7be7fb3/the-general-application-of-significance-editing.pdf
http://hdl.handle.net/20.500.11937/90001
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author Lawrence, David
McKenzie, Richard
author_facet Lawrence, David
McKenzie, Richard
author_sort Lawrence, David
building Curtin Institutional Repository
collection Online Access
description The significance editing technique reduces and prioritises the input editing workload in a sample survey. The method is based on estimating the impact of resolving individual edit queries on the survey estimates. Using these impacts it is possible to ignore queries of trivial value while making sure that the most serious queries are given the most attention. The result is efficient allocation of resources to editing without compromising data quality. Lawrence and McDavitt .1994) described an implementation of significance editing in the Australian Survey of Average Weekly Earnings. This article extends the previous work by describing the general principles underlying the significance editing technique, and offering suggestions for applying the technique to other surveys.
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spelling curtin-20.500.11937-900012023-02-07T02:29:59Z The general application of significance editing Lawrence, David McKenzie, Richard 4905 - Statistics The significance editing technique reduces and prioritises the input editing workload in a sample survey. The method is based on estimating the impact of resolving individual edit queries on the survey estimates. Using these impacts it is possible to ignore queries of trivial value while making sure that the most serious queries are given the most attention. The result is efficient allocation of resources to editing without compromising data quality. Lawrence and McDavitt .1994) described an implementation of significance editing in the Australian Survey of Average Weekly Earnings. This article extends the previous work by describing the general principles underlying the significance editing technique, and offering suggestions for applying the technique to other surveys. 2000 Journal Article http://hdl.handle.net/20.500.11937/90001 English http://www.scb.se/contentassets/ca21efb41fee47d293bbee5bf7be7fb3/the-general-application-of-significance-editing.pdf http://creativecommons.org/licenses/by-nc-nd/3.0 Statistics Sweden fulltext
spellingShingle 4905 - Statistics
Lawrence, David
McKenzie, Richard
The general application of significance editing
title The general application of significance editing
title_full The general application of significance editing
title_fullStr The general application of significance editing
title_full_unstemmed The general application of significance editing
title_short The general application of significance editing
title_sort general application of significance editing
topic 4905 - Statistics
url http://www.scb.se/contentassets/ca21efb41fee47d293bbee5bf7be7fb3/the-general-application-of-significance-editing.pdf
http://hdl.handle.net/20.500.11937/90001