Volltext herunterladen
(externe Quelle)
Zitationshinweis
Bitte beziehen Sie sich beim Zitieren dieses Dokumentes immer auf folgenden Persistent Identifier (PID):
https://doi.org/10.18148/srm/2008.v2i1.597
Export für Ihre Literaturverwaltung
Improving standard poststratification techniques for random-digit-dialing telephone surveys
Verbesserung der standardisierten Poststratifizierungstechniken zur Gestaltung der Stichproben bei Telephonbefragungen
[Zeitschriftenartikel]
Abstract "Random-digit-dialing surveys in the United States such as the Behavioral Risk Factor Surveillance System (BRFSS) typically poststratify on age, gender and race/ ethnicity using control totals from an appropriate source such as the 2000 Census, the Current Population Survey, or the American Communit... mehr
"Random-digit-dialing surveys in the United States such as the Behavioral Risk Factor Surveillance System (BRFSS) typically poststratify on age, gender and race/ ethnicity using control totals from an appropriate source such as the 2000 Census, the Current Population Survey, or the American Community Survey. Using logistic regression and interaction detection software the authors identified key 'main effect' socio-demographic variables and important two-factor interactions associated with several health risk factor outcomes measured in the BRFSS, one of the largest annual RDD surveys in the United States. A procedure was developed to construct control totals, which were consistent with estimates of age, gender, and race/ ethnicity obtained from a commercial source and distributions of other demographic variables from the Current Population Survey. Raking was used to incorporate main effects and two-factor interaction margins into the weighting of the BRFSS survey data. The resulting risk factor estimates were then compared with those based on the current BRFSS weighting methodology and mean squared error estimates were developed. The research demonstrates that by identifying socio-demographic variables associated with key outcome variables and including these variables in the weighting methodology, nonresponse bias can be substantially reduced." (author's abstract)... weniger
Thesaurusschlagwörter
Ethnizität; Risiko; Alter; Rasse; USA; Differenzierung; Geschlecht; Nordamerika; soziale Differenzierung; Volkszählung; demographische Faktoren; Telefoninterview
Klassifikation
Erhebungstechniken und Analysetechniken der Sozialwissenschaften
Sprache Dokument
Englisch
Publikationsjahr
2008
Seitenangabe
S. 11-19
Zeitschriftentitel
Survey Research Methods, 2 (2008) 1
ISSN
1864-3361
Status
Veröffentlichungsversion; begutachtet (peer reviewed)
Lizenz
Deposit Licence - Keine Weiterverbreitung, keine Bearbeitung