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Recycled water acceptance: Data from two Spanish regions with opposite levels of scarcity

The dataset presented in this paper were collected for testing a perceptive-axiological model of recycled water acceptance for low and high contact uses. Participants were selected by proportional random sampling by sex and age the two Spanish communities with the most extreme values of water stress...

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Autores principales: Vila-Tojo, Sergio, Sabucedo, Jose-Manuel, Andrade, Elena, Gómez-Román, Cristina, Alzate, Mónica, Seoane, Gloria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9253460/
https://www.ncbi.nlm.nih.gov/pubmed/35799849
http://dx.doi.org/10.1016/j.dib.2022.108402
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author Vila-Tojo, Sergio
Sabucedo, Jose-Manuel
Andrade, Elena
Gómez-Román, Cristina
Alzate, Mónica
Seoane, Gloria
author_facet Vila-Tojo, Sergio
Sabucedo, Jose-Manuel
Andrade, Elena
Gómez-Román, Cristina
Alzate, Mónica
Seoane, Gloria
author_sort Vila-Tojo, Sergio
collection PubMed
description The dataset presented in this paper were collected for testing a perceptive-axiological model of recycled water acceptance for low and high contact uses. Participants were selected by proportional random sampling by sex and age the two Spanish communities with the most extreme values of water stress (Galicia, the rainiest region and Murcia, the driest). Data were collected by a company specialized in market research using an online survey housed on Qualtrics. Participants who matched the specified profile were contacted by email. The company compensated them financially. The final sample size consisted of 726 valid responses. The survey collected data on a variety of variables related to three conceptual dimensions: the diagnosis of the environmental situation, the axiological influence and the public perceptions regarding recycled water. The survey also collected demographic data from respondents. The survey was designed and reviewed by four experts in social psychology and two experts in methodology. The dataset featured in this article provides the raw survey data plus sociodemographic distribution, survey items, and other statistical data. This is the first and most comprehensive set of comparative data known to the authors on public acceptance of water reuse for high and low contact uses comparing regions with and without water scarcity. The authors have published an open access paper based on this data set, which are linked to this paper. Water industry professionals, policymakers, researchers and other stakeholders aiming to implement wastewater reuse systems in society may be interested in using the data as a point of comparison for their own study on public acceptance of water reuse or examining the data for relationships not yet explored in the literature.
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spelling pubmed-92534602022-07-06 Recycled water acceptance: Data from two Spanish regions with opposite levels of scarcity Vila-Tojo, Sergio Sabucedo, Jose-Manuel Andrade, Elena Gómez-Román, Cristina Alzate, Mónica Seoane, Gloria Data Brief Data Article The dataset presented in this paper were collected for testing a perceptive-axiological model of recycled water acceptance for low and high contact uses. Participants were selected by proportional random sampling by sex and age the two Spanish communities with the most extreme values of water stress (Galicia, the rainiest region and Murcia, the driest). Data were collected by a company specialized in market research using an online survey housed on Qualtrics. Participants who matched the specified profile were contacted by email. The company compensated them financially. The final sample size consisted of 726 valid responses. The survey collected data on a variety of variables related to three conceptual dimensions: the diagnosis of the environmental situation, the axiological influence and the public perceptions regarding recycled water. The survey also collected demographic data from respondents. The survey was designed and reviewed by four experts in social psychology and two experts in methodology. The dataset featured in this article provides the raw survey data plus sociodemographic distribution, survey items, and other statistical data. This is the first and most comprehensive set of comparative data known to the authors on public acceptance of water reuse for high and low contact uses comparing regions with and without water scarcity. The authors have published an open access paper based on this data set, which are linked to this paper. Water industry professionals, policymakers, researchers and other stakeholders aiming to implement wastewater reuse systems in society may be interested in using the data as a point of comparison for their own study on public acceptance of water reuse or examining the data for relationships not yet explored in the literature. Elsevier 2022-06-21 /pmc/articles/PMC9253460/ /pubmed/35799849 http://dx.doi.org/10.1016/j.dib.2022.108402 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Vila-Tojo, Sergio
Sabucedo, Jose-Manuel
Andrade, Elena
Gómez-Román, Cristina
Alzate, Mónica
Seoane, Gloria
Recycled water acceptance: Data from two Spanish regions with opposite levels of scarcity
title Recycled water acceptance: Data from two Spanish regions with opposite levels of scarcity
title_full Recycled water acceptance: Data from two Spanish regions with opposite levels of scarcity
title_fullStr Recycled water acceptance: Data from two Spanish regions with opposite levels of scarcity
title_full_unstemmed Recycled water acceptance: Data from two Spanish regions with opposite levels of scarcity
title_short Recycled water acceptance: Data from two Spanish regions with opposite levels of scarcity
title_sort recycled water acceptance: data from two spanish regions with opposite levels of scarcity
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9253460/
https://www.ncbi.nlm.nih.gov/pubmed/35799849
http://dx.doi.org/10.1016/j.dib.2022.108402
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