Estimating Polling Accuracy in Multi-Party Elections Using Surveybias
- Publikationstyp:
- Zeitschriftenaufsatz
- Metadaten:
-
- Autoren
- Kai Arzheimer
- Jocelyn Evans
- Autoren-URL
- https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000374914800012&DestLinkType=FullRecord&DestApp=WOS_CPL
- DOI
- 10.1177/1536867X1601600113
- Externe Identifier
- Clarivate Analytics Document Solution ID: DK4UC
- ISSN
- 1536-867X
- Ausgabe der Veröffentlichung
- 1
- Zeitschrift
- STATA JOURNAL
- Schlüsselwörter
- st0428
- surveybias
- surveybiasi
- surveybiasseries
- multinomial variables
- surveys
- survey bias
- Paginierung
- 139 - 158
- Datum der Veröffentlichung
- 2016
- Status
- Published
- Titel
- Estimating polling accuracy in multiparty elections using surveybias
- Sub types
- Article
- Ausgabe der Zeitschrift
- 16
Datenquelle: Web of Science (Lite)
- Andere Metadatenquellen:
-
- Abstract
- <jats:p> Any rigorous discussion of bias in opinion surveys requires a scalar measure of survey accuracy. Martin, Traugott, and Kennedy (2005, Public Opinion Quarterly 69: 342-369) propose such a measure A for the two-party case, and Arzheimer and Evans (2014, Political Analysis 22: 31-44) demonstrate how measures A'<jats:sub>i</jats:sub>, B, and B<jats:sub>w</jats:sub> for the more common multiparty case can be derived. We describe the commands surveybias, surveybiasi, and surveybiasseries, which enable the fast computation of these binomial and multinomial measures of bias in opinion surveys. While the examples are based on pre-election surveys, the methodology applies to any multinomial variable whose true distribution in the population is known (for example, through census data). </jats:p>
- Autoren
- Kai Arzheimer
- Jocelyn Evans
- DOI
- 10.1177/1536867x1601600113
- eISSN
- 1536-8734
- ISSN
- 1536-867X
- Ausgabe der Veröffentlichung
- 1
- Zeitschrift
- The Stata Journal: Promoting communications on statistics and Stata
- Sprache
- en
- Online publication date
- 2016
- Paginierung
- 139 - 158
- Datum der Veröffentlichung
- 2016
- Status
- Published
- Herausgeber
- SAGE Publications
- Herausgeber URL
- http://dx.doi.org/10.1177/1536867x1601600113
- Datum der Datenerfassung
- 2021
- Titel
- Estimating Polling Accuracy in Multiparty Elections Using Surveybias
- Ausgabe der Zeitschrift
- 16
Datenquelle: Crossref
- Autoren
- Kai Arzheimer
- Jocelyn Evans
- Zeitschrift
- The Stata Journal
- Artikelnummer
- 1
- Paginierung
- 139 - 158
- Datum der Veröffentlichung
- 2016
- Datum der Datenerfassung
- 2022
- Titel
- Estimating Polling Accuracy in Multi-Party Elections Using Surveybias
- Sub types
- article
- Ausgabe der Zeitschrift
- 16
Datenquelle: Manual
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