Definition Coverage Error
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Incomplete sampling frames often result sampling error definition in coverage errors. Context: Coverage errors are due to divergences between the target population and the frame.
Measurement Error Definition
Coverage errors include over-coverage, under-coverage and misclassification (Eurostat, Quality Glossary).Coverage error is the error in an estimate that results from failure to include specified units in the conduct of a survey (undercoverage), and inclusion of
Definition Of Coverage Gap
some units erroneously either because of a defective frame or because of inclusion of unspecified units or inclusion of specified units more than once in the actual survey (overcoverage). (Statistical Policy Working Paper 15: Quality in Establishment Surveys, Office of Management and Budget, Washington D.C., July 1988, page 44). Source Publication: Statistical Office of the United Nations, "Handbook of Household Surveys, Revised Edition", (para. 8.3), Studies in Methods, Series F, No. 31, United Nations, New York, 1984. Cross References: Coverage Statistical Theme: Quality, statistical Glossary Output Segments: SDMX Created on Tuesday, September 25, 2001 Last updated on Thursday, April 18, 2013
to the context within the existing text. (September 2015) (Learn how and definition of coverage ratio when to remove this template message) Coverage error is an
Definition Of Coverage In Journalism
error that occurs in statistical estimates of a survey. It results from gaps between the definition of coverage area sampling frame and the total population. This can lead to biased results and can affect the variance of results.[1] Coverage error is a kind https://stats.oecd.org/glossary/detail.asp?ID=466 of nonsampling error. Further discussion and elaboration can be found in Salant and Dillman (1995).[2] References[edit] ^ Scheaffer, Richard L. 1996. Section 5 of Teaching Survey Sampling, by Ronald S. Fecso, William D. Kalsbeek, Sharon L. Lohr, Richard L. Scheaffer, Fritz J. Scheuren, Elizabeth A. Stasny. The American https://en.wikipedia.org/wiki/Coverage_error Statistician 50:4 (Nov., 1996), pp 335–337. (on jstor) ^ Salant, Priscilla, and Don A. Dillman. "How to Conduct your own Survey: Leading professional give you proven techniques for getting reliable results." (1995) Retrieved from "https://en.wikipedia.org/w/index.php?title=Coverage_error&oldid=727606926" Categories: Survey methodologySampling (statistics)ErrorMeasurementHidden categories: Articles with too few wikilinks from September 2015All articles with too few wikilinksArticles covered by WikiProject Wikify from September 2015All articles covered by WikiProject Wikify Navigation menu Personal tools Not logged inTalkContributionsCreate accountLog in Namespaces Article Talk Variants Views Read Edit View history More Search Navigation Main pageContentsFeatured contentCurrent eventsRandom articleDonate to WikipediaWikipedia store Interaction HelpAbout WikipediaCommunity portalRecent changesContact page Tools What links hereRelated changesUpload fileSpecial pagesPermanent linkPage informationWikidata itemCite this page Print/export Create a bookDownload as PDFPrintable version Languages Add links This page was last modified on 30 June 2016, at 02:24. Text is available under the Creative Commons Attribution-ShareAlike License; additional terms
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can suffer from sources of bias and error. One (often inescapable) source of bias is called coverage bias or coverage error. This occurs when the population sampling frame is incomplete, or does not include certain groups of individuals because of various personal or household characteristics. A classic example of coverage bias occurs in telephone surveys, because individuals and families without phones - and increasingly, those with cellular phones but without landlines - are not eligible members of the population (sampling frame). Online web surveys suffer from coverage bias as well, because internet usage depends largely on factors such as access and age. So how can you reduce coverage bias? The best way to reduce coverage bias is to be aware that it exists! From there, you can do everything in your power to include uncovered or underrepresented groups. Some panel samples actually provide respondents with a computer and internet access in order to produce representative samples of the general population. In order to deal with coverage bias after-the-fact, you can make statistical adjustments to your data that decrease the effects of this bias: according recent studiesof internet surveys, statistical adjustments can greatly reduce coverage bias, even rendering the associated error “negligible” in some cases. « Prev Next » Previous Next Please enable JavaScript to view the comments powered by Disqus.blog comments powered by Disqus Blog Categories Best Practices for Collecting Feedback Feedback Analysis & Reporting Feedback Technology Mobile Survey Advice Voice of the Customer Customer Feedback Customer Service Satisfaction Surveys Voice of the Employee HR & Employee Surveys Training Feedback & Evaluations Marketing & Product Surveys Market Research Cven