Total survey error: Past, present, and future.
“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...
| Publicado en: | Public Opinion Quarterly Vol. 74; no. 5; pp. 849 - 880 |
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| Autores principales: | , |
| Formato: | Artículo |
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Oxford University Press / UK
Special Issue 2010
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=511464850&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 511464850 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 0033362X POQ jtl: Public Opinion Quarterly issn: 0033362X maglogo: N pubinfo: dt: Special Issue 2010 vid: 74 iid: 5 pid: 622 pub: Oxford University Press / UK artinfo: ui: 511464850 10.1093/poq/nfq065 ppf: 849 ppct: 31 formats: tig: atl: Total survey error: Past, present, and future. aug: au: Groves, Robert M. Lyberg, Lars su: Error analysis in mathematics Social surveys -- Methodology sug: subj: Error analysis in mathematics Social surveys -- Methodology ab: “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. Reprinted by permission of the publisher. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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