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[journal article]

dc.contributor.authorRevilla, Melanie
dc.date.accessioned2017-07-12T15:03:54Z
dc.date.available2017-07-12T15:03:54Z
dc.date.issued2017
dc.identifier.issn2190-4936de
dc.identifier.urihttp://www.ssoar.info/ssoar/handle/document/52401
dc.description.abstract"Survey designers often ask about the best length for their questionnaires and the best format for their questions. Much research has already addressed these issues. However, the answers to these questions may vary with the population of interest, the mode of data collection used, and other factors. The goal of this paper is twofold: 1. To give an overview of the present situation in opt-in online panels, in terms of survey characteristics, participation, and evaluation, by reviewing 186 surveys managed by the panel company Netquest in Spain in 2016. This will be useful to determine areas where further research needs to focus. 2. To study how key characteristics of questionnaires impact survey evaluation and levels of survey break-off. This will allow us to highlight the characteristics that best reduce break-off and improve respondents’ survey evaluation. Based on these results, we will propose practical recommendations for future survey design within the framework of opt-in online panels." (author's abstract)en
dc.languageen
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.subject.otheropt-in online panels; questionnaire characteristics; mobile devices
dc.titleAnalyzing Survey Characteristics, Participation, and Evaluation Across 186 Surveys in an Online Opt-In Panel in Spainen
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.source.journalMethods, data, analyses : a journal for quantitative methods and survey methodology (mda)
dc.source.volume11
dc.publisher.countryDEU
dc.source.issue2
dc.subject.classozErhebungstechniken und Analysetechniken der Sozialwissenschaftende
dc.subject.classozMethods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methodsen
dc.subject.thesozAntwortverhaltende
dc.subject.thesozquestionnaireen
dc.subject.thesozDatengewinnungde
dc.subject.thesozPanelde
dc.subject.thesozresponse behavioren
dc.subject.thesozsurvey researchen
dc.subject.thesozdata captureen
dc.subject.thesozUmfrageforschungde
dc.subject.thesozpanelen
dc.subject.thesozFragebogende
dc.subject.thesozdata collection methoden
dc.subject.thesozErhebungsmethodede
dc.rights.licenceCreative Commons - Namensnennungde
dc.rights.licenceCreative Commons - Attributionen
ssoar.contributor.institutionGESIS
internal.statusformal und inhaltlich fertig erschlossen
internal.identifier.thesoz10040714
internal.identifier.thesoz10040547
internal.identifier.thesoz10035808
internal.identifier.thesoz10054018
internal.identifier.thesoz10037914
internal.identifier.thesoz10037921
dc.type.stockarticle
dc.type.documentjournal articleen
dc.type.documentZeitschriftenartikelde
dc.source.pageinfo135-162
internal.identifier.classoz10105
internal.identifier.journal614
internal.identifier.document32
internal.identifier.ddc300
dc.identifier.doihttps://doi.org/10.12758/mda.2017.02
dc.description.pubstatusPublished Versionen
dc.description.pubstatusVeröffentlichungsversionde
internal.identifier.licence1
internal.identifier.pubstatus1
internal.identifier.review1
internal.pdf.version1.4
internal.pdf.validtrue
internal.pdf.wellformedtrue
internal.check.abstractlanguageharmonizerCERTAIN
internal.check.languageharmonizerCERTAIN_RETAINED


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