How to enhance web survey data using metered, geolocation, visual and voice data?
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- dc.contributor.author Revilla, Melanie
- dc.date.accessioned 2024-06-12T06:14:46Z
- dc.date.available 2024-06-12T06:14:46Z
- dc.date.issued 2022
- dc.description.abstract After briefly summarizing why there is a need to enhance web survey data, this paper explains how metered, geolocation, visual and voice data could help to supplement conventional web survey data, particularly when mobile participation is high. It presents expected benefits of these four data types in terms of respondents’ burden, data quality and possible new insights, as well as a number of expected disadvantages, both on the respondents’ and researchers’ sides. Finally, the paper discusses what is still missing and the next steps to turn these newopportunities into realities.
- dc.format.mimetype application/pdf
- dc.identifier.citation Revilla M. How to enhance web survey data using metered, geolocation, visual and voice data? Surv Res Methods. 2022;16(1):1-12. DOI: 10.18148/srm/2022.v16i1.8013
- dc.identifier.doi http://dx.doi.org/10.18148/srm/2022.v16i1.8013
- dc.identifier.issn 1864-3361
- dc.identifier.uri http://hdl.handle.net/10230/60438
- dc.language.iso eng
- dc.publisher European Survey Research Association (ESRA)
- dc.relation.ispartof Survey Research Methods. 2022;16(1):1-12.
- dc.rights © 2022 Author(s) CC BY-NC 4.0.
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri https://creativecommons.org/licenses/by-nc/4.0
- dc.subject.keyword Geolocation
- dc.subject.keyword Measurement
- dc.subject.keyword Metered data
- dc.subject.keyword (Mobile) Web surveys
- dc.subject.keyword Visual data
- dc.subject.keyword Voice recording
- dc.subject.keyword Data quality
- dc.title How to enhance web survey data using metered, geolocation, visual and voice data?
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/publishedVersion