Response Consistency of Crowdsourced Web-Based Surveys on Type 1 Diabetes

Although Amazon Mechanical Turk facilitates the quick surveying of a large sample from various demographic and socioeconomic backgrounds, it may not be an optimal platform for obtaining reliable diabetes-related information from the online type 1 diabetes population.

Detalles Bibliográficos
Autores principales: Lin, Yu Kuei, Newman, Sean, Piette, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Research Letter
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10474500/
https://www.ncbi.nlm.nih.gov/pubmed/37594797
http://dx.doi.org/10.2196/43593
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author Lin, Yu Kuei
Newman, Sean
Piette, John
author_facet Lin, Yu Kuei
Newman, Sean
Piette, John
author_sort Lin, Yu Kuei
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description Although Amazon Mechanical Turk facilitates the quick surveying of a large sample from various demographic and socioeconomic backgrounds, it may not be an optimal platform for obtaining reliable diabetes-related information from the online type 1 diabetes population.
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spelling pubmed-104745002023-09-03 Response Consistency of Crowdsourced Web-Based Surveys on Type 1 Diabetes Lin, Yu Kuei Newman, Sean Piette, John J Med Internet Res Research Letter Although Amazon Mechanical Turk facilitates the quick surveying of a large sample from various demographic and socioeconomic backgrounds, it may not be an optimal platform for obtaining reliable diabetes-related information from the online type 1 diabetes population. JMIR Publications 2023-08-18 /pmc/articles/PMC10474500/ /pubmed/37594797 http://dx.doi.org/10.2196/43593 Text en ©Yu Kuei Lin, Sean Newman, John Piette. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 18.08.2023. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Research Letter
Lin, Yu Kuei
Newman, Sean
Piette, John
Response Consistency of Crowdsourced Web-Based Surveys on Type 1 Diabetes
title Response Consistency of Crowdsourced Web-Based Surveys on Type 1 Diabetes
title_full Response Consistency of Crowdsourced Web-Based Surveys on Type 1 Diabetes
title_fullStr Response Consistency of Crowdsourced Web-Based Surveys on Type 1 Diabetes
title_full_unstemmed Response Consistency of Crowdsourced Web-Based Surveys on Type 1 Diabetes
title_short Response Consistency of Crowdsourced Web-Based Surveys on Type 1 Diabetes
title_sort response consistency of crowdsourced web-based surveys on type 1 diabetes
topic Research Letter
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10474500/
https://www.ncbi.nlm.nih.gov/pubmed/37594797
http://dx.doi.org/10.2196/43593
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AT piettejohn responseconsistencyofcrowdsourcedwebbasedsurveysontype1diabetes

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