Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Total Survey Error: Past, Present, and Future
Stockholm University, Faculty of Social Sciences, Department of Statistics.
2010 (English)In: Public Opinion Quarterly, ISSN 0033-362X, E-ISSN 1537-5331, Vol. 74, no 5, 849-879 p.Article in journal (Refereed) Published
Abstract [en]

Total survey error is a conceptual framework describing statistical error properties of sample survey statistics. Early in the history of sample surveys, it arose as a tool to focus on implications of various gaps between the conditions under which probability samples yielded unbiased estimates of finite population parameters and practical situations in implementing survey design. While the framework permits design-based estimates of various error components, many of the design burdens to produce those estimates are large, and in practice most surveys do not implement them. Further, the framework does not incorporate other, nonstatistical, dimensions of quality that are commonly utilized in evaluating statistical information. The importation of new modeling tools brings new promise to measuring total survey error components, but also new challenges. A lasting value of the total survey error framework is at the design stage of a survey, to attempt a balance of costs and various errors. Indeed, this framework is the central organizing structure of the field of survey methodology.

Place, publisher, year, edition, pages
2010. Vol. 74, no 5, 849-879 p.
National Category
Social Sciences
Identifiers
URN: urn:nbn:se:su:diva-66218DOI: 10.1093/poq/nfq065ISI: 000287254300003OAI: oai:DiVA.org:su-66218DiVA: diva2:467721
Note
authorCount :2Available from: 2011-12-19 Created: 2011-12-19 Last updated: 2017-12-08Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Lyberg, Lars
By organisation
Department of Statistics
In the same journal
Public Opinion Quarterly
Social Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 153 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf