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[journal article]

dc.contributor.authorQin, Xiaotingde
dc.contributor.authorBailey, Cathy M.de
dc.contributor.authorZahran, Hatice S.de
dc.date.accessioned2019-05-20T08:25:55Z
dc.date.available2019-05-20T08:25:55Z
dc.date.issued2019de
dc.identifier.issn2296-4754de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/62705
dc.description.abstractThe Asthma Call-back Survey (ACBS) is conducted after the Behavioral Risk Factor Surveillance System (BRFSS) survey by calling BRFSS respondents who reported ever being diagnosed with asthma. To find response patterns and increase ACBS response rates, we first examined whether obtaining consents during the BRFSS survey could increase call back response rates by reducing the refusal and break-off. Then, we assessed how the lag days between BRFSS and ACBS interviews affected response rates. BRFSS cell phone respondents agreed more often to being called back than did landline respondents (75.5 vs. 70.9 percent). However, when respondents were contacted for ACBS, the cell phone response rate was lower than landline response rate (43.4 vs. 47.0 percent), except among males aged 25–34 years, for which the cell phone response rate was 2.1 percent higher than the landline response rate. ACBS response rate for landline and cell phone response were highest if the callback was within 2 days of BRFSS interviews (92.3 vs. 88.8 percent). As lag days increased, the response rate decreased. The cell phone response rate showed a sharper drop; after 2 weeks, the response rate gap between landline and cell phone samples reached 17.3 percent.de
dc.languageende
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.subject.otherAsthma Call-back Survey; ACBS; Behavioral Risk Factor Surveillance System; BRFSS; dual frame surveys; lag day; Response ratede
dc.titleComparison response patterns on landline and cell phone in a call back survey: effects of demographic characteristics and lag daysde
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.source.journalSurvey Methods: Insights from the Field
dc.publisher.countryDEU
dc.subject.classozErhebungstechniken und Analysetechniken der Sozialwissenschaftende
dc.subject.classozMethods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methodsen
dc.subject.thesozMobiltelefonde
dc.subject.thesozUSAde
dc.subject.thesozAntwortverhaltende
dc.subject.thesozTelefonde
dc.subject.thesozdemographic factorsen
dc.subject.thesozresponse behavioren
dc.subject.thesozcell phoneen
dc.subject.thesozdemographische Faktorende
dc.subject.thesoztelephoneen
dc.subject.thesozUnited States of Americaen
dc.rights.licenceCreative Commons - Attribution 4.0en
dc.rights.licenceCreative Commons - Namensnennung 4.0de
internal.statusnoch nicht fertig erschlossende
internal.identifier.thesoz10035808
internal.identifier.thesoz10060115
internal.identifier.thesoz10060117
internal.identifier.thesoz10040663
internal.identifier.thesoz10041244
dc.type.stockarticlede
dc.type.documentjournal articleen
dc.type.documentZeitschriftenartikelde
dc.source.pageinfo1-11de
internal.identifier.classoz10105
internal.identifier.journal472
internal.identifier.document32
internal.identifier.ddc300
dc.identifier.doihttps://doi.org/10.13094/SMIF-2019-00019de
dc.description.pubstatusPublished Versionen
dc.description.pubstatusVeröffentlichungsversionde
internal.identifier.licence16
internal.identifier.pubstatus1
internal.identifier.review1
internal.pdf.wellformedtrue
internal.pdf.encryptedfalse
ssoar.urn.registrationfalsede


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