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dc.contributor.authorAusthof, E.
dc.contributor.authorBrown, H.E.
dc.date.accessioned2022-08-01T20:19:13Z
dc.date.available2022-08-01T20:19:13Z
dc.date.issued2022
dc.identifier.citationAusthof, E., & Brown, H. E. (2022). Global Warming’s Six MTurks: A Secondary Analysis of a US-Based Online Crowdsourcing Market. International Journal of Environmental Research and Public Health, 19(14).
dc.identifier.issn1661-7827
dc.identifier.doi10.3390/ijerph19148320
dc.identifier.urihttp://hdl.handle.net/10150/665498
dc.description.abstractUsing a global warming audience segmentation tool (Six Americas Super Short Survey (SASSY)) as a case study, we consider how public health can use consumer panels and online crowdsourcing markets (OCMs) in research. Through a secondary analysis, we aim to understand how consumer panels and OCMs are similar to or different from each other on demographics and global warming beliefs through SASSY, and how they compare to US Census estimates. With this information, researchers will understand public opinion of global warming in their sample, which is useful for many climate change initiatives. Neither the consumer panel (Ipsos) or OCM sample (MTurk) matched US estimates of population demographics. Both panels achieved similar SASSY segments, showing that even with diverse sampling frames, SASSY is a useful tool for understanding global warming sentiment. Compared to Ipsos, MTurk was younger (more Millennials and Generation X), had higher educational attainment, and lower income. Both panels were majority White, but Ipsos was more diverse than the unweighted MTurk. Ipsos had more respondents from the South whereas MTurk had more respondents from the West. Across the MTurk SASSY segment, there were no significant differences for the majority of demographic characteristics except for age; younger generations were more Alarmed or Concerned, and older generations were more Doubtful and Dismissive. Researchers interested in understanding their sample’s opinions of global warming should use SASSY and consider oversampling in key demographic variables if they intend to achieve a nationally representative and diverse sample. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
dc.language.isoen
dc.publisherMDPI
dc.rightsCopyright © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.subjectaudience segmentation
dc.subjectclimate change
dc.subjectglobal warming
dc.subjecthealth communication
dc.subjectpublic health
dc.subjectrisk perception
dc.titleGlobal Warming’s Six MTurks: A Secondary Analysis of a US-Based Online Crowdsourcing Market
dc.typeArticle
dc.typetext
dc.contributor.departmentDepartment of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona
dc.identifier.journalInternational Journal of Environmental Research and Public Health
dc.description.noteOpen access journal
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
dc.eprint.versionFinal published version
dc.source.journaltitleInternational Journal of Environmental Research and Public Health
refterms.dateFOA2022-08-01T20:19:13Z


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Copyright © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's license is described as Copyright © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).