dc.contributor.author
Iglesias Muñoz, Patricia Andrea
dc.date.accessioned
2026-02-21T04:55:05Z
dc.date.available
2026-02-21T04:55:05Z
dc.date.issued
2026-02-20T08:05:26Z
dc.date.issued
2026-02-20T08:05:26Z
dc.date.issued
2026-02-20T08:05:26Z
dc.identifier
Iglesias PA. Unlocking insights: assessing the quality of conventional and image-based responses on books at home in an online mobile survey. Qual Quant. 2026 Jan 3. DOI: 10.1007/s11135-025-02519-7
dc.identifier
https://hdl.handle.net/10230/72613
dc.identifier
http://dx.doi.org/10.1007/s11135-025-02519-7
dc.identifier.uri
https://hdl.handle.net/10230/72613
dc.description.abstract
Data de publicació electrònica: 03-01-2026
dc.description.abstract
Despite growing interest in collecting photos within online surveys, little is known about the quality of visual data and its comparison with data obtained through conventional requests. To address this gap, a self-administered online mobile survey targeting parents of children attending primary school in Spain was conducted through the Netquest opt-in panel in 2023. The survey gathered information about books in respondents' homes through photos and conventional questions. First, a review of previous research using conventional questions, photos, and other emerging data types was conducted to identify indicators suitable to evaluate the quality of the information about books at home collected through conventional and image-based formats. Second, most of these indicators to measure quality were estimated. Results reveal important measurement errors in conventional questions, while photos submitted by respondents are generally in line and can be classified. However, concrete information of interest about the books, such as the intended audience or languages, is often difficult to extract from photos. When comparing quality, conventional answers provide more information about the items asked than photos, but photos have the potential to provide additional insights, such as book titles. Overall, while collecting and analyzing photos sent through surveys presents challenges, their integration into surveys offers unique opportunities to enrich data collection methods.
dc.description.abstract
This project received funding from the European Research Council (ERC) under the European Union¿s Horizon 2020 research and innovation programme (grant agreement No. 849165), the Agencia Nacional de Investigación y Desarrollo (ANID) under the "Becas Chile" Doctoral Fellowship programme (grant No. 72220301 to Patricia A. Iglesias), and GESIS-Leibniz-Institut für Sozialwissenschaften.
dc.format
application/pdf
dc.format
application/pdf
dc.relation
Quality and Quantity. 2026 Jan 3
dc.relation
info:eu-repop/grantAgreement/EC/H2020/849165
dc.rights
© The Author(s) 2025. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
dc.rights
http://creativecommons.org/licenses/by/4.0/
dc.rights
info:eu-repo/semantics/openAccess
dc.subject
(Visual) data quality
dc.subject
Quality indicators
dc.subject
Image collection
dc.subject
Mobile online surveys
dc.subject
Measurement errors
dc.title
Unlocking insights: assessing the quality of conventional and image-based responses on books at home in an online mobile survey
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/publishedVersion
