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[journal article]

dc.contributor.authorGeary, Rebecca S.de
dc.contributor.authorCouper, Mick P.de
dc.contributor.authorErens, Bobde
dc.contributor.authorCopas, Andrew J.de
dc.contributor.authorBurkill, Sarahde
dc.contributor.authorSonnenberg, Pamde
dc.contributor.authorConrad, Frederickde
dc.contributor.authorMercer, Catherine H.de
dc.date.accessioned2019-04-30T10:23:27Z
dc.date.available2019-04-30T10:23:27Z
dc.date.issued2019de
dc.identifier.issn2296-4754de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/62408
dc.description.abstractIntroduction: Hard-to-reach and minority groups are often at higher risk for adverse sexual health outcomes. While such groups are therefore of interest to sexual health researchers, it can be difficult to locate and recruit sufficient sample sizes using probability sampling methods. This study aims to establish whether web-panel surveys can provide a viable less resource intensive means of boosting sample sizes of two hard-to-reach groups (people of Black African ethnicity, and gay men) for a sexual health survey, and the extent of any bias. Methods: Results from a national probability sample survey (Natsal-3, administered using a computer-assisted personal interview (CAPI) and selfinterview (CASI) with 15,162 participants), which included 211 black African participants and 83 gay men, were compared with results from a webpanel survey (using identical questions) of 529 black Africans and 592 gay men. Web-panel survey results for socio-demographics were compared with external benchmarks, and for sexual behaviours and attitudes reported in Natsal-3. Odds ratios (ORs) were used to examine differences between variables and the average absolute OR, along with the number of estimates for which the web-panel survey differed significantly from the benchmarks, were used to summarise survey performance. Results: At least 18% of estimates differed significantly between surveys for gay and black African men, and 28% for black African women. For black African women average absolute ORs were: 1.6 for attitudinal questions asked in CAPI, 1.5 for attitudinal CASI questions, 3.2 for behaviour questions asked in CAPI and for 1.7 for behaviour CASI. For black African men average absolute ORs were: 1.5 for attitudinal questions asked in CAPI, 1.8 for attitudinal CASI questions, 2.5 for behavioural questions asked in CAPI and 1.6 for behavioural questions asked in CASI=1.6. For gay men, average absolute ORs were: 2.2 for attitudinal questions asked in CAPI, 2.8 for attitudinal CASI questions, 1.8 for behavioural questions asked in CAPI to 1.6 for behavioural questions asked in CASI. Discussion: Web-panel surveys may be able to sample hard-to-reach groups but may not be able to replace probability-sample surveys where accurate population-level estimates of sensitive sexual behaviours are required. Differences between web and CASI responses, where mode effects may be similar, suggest web-panel survey selection bias.de
dc.languageende
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.subject.otherhard to reach populations; non-probability samples; probability samples; sexual health; Web surveys; computer-assisted personal interview; CAPI; computer-assisted self interview; CASIde
dc.titleMeasuring sexual behaviours and attitudes in hard-to-reach groups: A comparison of a non-probability web survey with a national probability sample surveyde
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.thesozSexualverhaltende
dc.subject.thesozsex behavioren
dc.subject.thesozOnline-Befragungde
dc.subject.thesozonline surveyen
dc.subject.thesozMessungde
dc.subject.thesozmeasurementen
dc.subject.thesozEinstellungde
dc.subject.thesozattitudeen
dc.subject.thesozSexualitätde
dc.subject.thesozsexualityen
dc.subject.thesozMinderheitde
dc.subject.thesozminorityen
dc.subject.thesozAfrikanerde
dc.subject.thesozAfricanen
dc.subject.thesozStichprobede
dc.subject.thesozsampleen
dc.subject.thesozGesundheitszustandde
dc.subject.thesozhealth statusen
dc.subject.thesozHomosexualitätde
dc.subject.thesozhomosexualityen
dc.subject.thesozMannde
dc.subject.thesozmanen
dc.subject.thesozdemographische Faktorende
dc.subject.thesozdemographic factorsen
dc.subject.thesozsoziale Faktorende
dc.subject.thesozsocial factorsen
dc.subject.thesozstatistische Analysede
dc.subject.thesozstatistical analysisen
dc.subject.thesozErhebungsmethodede
dc.subject.thesozdata collection methoden
dc.subject.thesozDatengewinnungde
dc.subject.thesozdata captureen
dc.rights.licenceCreative Commons - Namensnennung 4.0de
dc.rights.licenceCreative Commons - Attribution 4.0en
internal.statusnoch nicht fertig erschlossende
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dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
dc.source.pageinfo1-8de
internal.identifier.classoz10105
internal.identifier.journal472
internal.identifier.document32
internal.identifier.ddc300
dc.source.issuetopicProbability and Nonprobability Sampling: Sampling of hard-to-reach survey populations
dc.identifier.doihttps://doi.org/10.13094/SMIF-2019-00003de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
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