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Probability Discounting in College Students’ Willingness to Isolate During COVID-19: Implications for Behavior Analysis and Public Health

The present study was a preliminary analysis of college students’ willingness to self-isolate and socially isolate during the COVID-19 pandemic analyzed through a probability discounting framework. Researchers developed a pandemic likelihood discounting task where willingness to isolate from others...

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Autores principales: Belisle, Jordan, Paliliunas, Dana, Sickman, Elana, Janota, Taylor, Lauer, Taylor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9444125/
https://www.ncbi.nlm.nih.gov/pubmed/36092128
http://dx.doi.org/10.1007/s40732-022-00527-9
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author Belisle, Jordan
Paliliunas, Dana
Sickman, Elana
Janota, Taylor
Lauer, Taylor
author_facet Belisle, Jordan
Paliliunas, Dana
Sickman, Elana
Janota, Taylor
Lauer, Taylor
author_sort Belisle, Jordan
collection PubMed
description The present study was a preliminary analysis of college students’ willingness to self-isolate and socially isolate during the COVID-19 pandemic analyzed through a probability discounting framework. Researchers developed a pandemic likelihood discounting task where willingness to isolate from others was measured in days as a function of the perceived probability of the escalation of a virus to pandemic levels. Experiment 1 was conducted immediately prior to the World Health Organization (WHO) declaring COVID-19 a pandemic and results showed that participants were more willing to self-isolate when the perceived probability of reaching pandemic levels was high and when there was a guarantee that others in the community would do the same. Experiment 2 was conducted with a subset of participants from Experiment 1 with the same discounting task, and results showed that participants were more willing to self-isolate 2 months following the onset of the pandemic, supporting the view that willingness to isolate from others is a dynamic process. Finally, Experiment 3 evaluated willingness to socially distance and introduced a hypothetical timescale to evaluate common trends with the real-world temporal dynamics observed in Experiments 1 and 2. Results showed similar trends in the data, supporting the use of hypothetical scenarios within probability discounting tasks in future behavior analytic research related to public health.
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spelling pubmed-94441252022-09-06 Probability Discounting in College Students’ Willingness to Isolate During COVID-19: Implications for Behavior Analysis and Public Health Belisle, Jordan Paliliunas, Dana Sickman, Elana Janota, Taylor Lauer, Taylor Psychol Rec Original Article The present study was a preliminary analysis of college students’ willingness to self-isolate and socially isolate during the COVID-19 pandemic analyzed through a probability discounting framework. Researchers developed a pandemic likelihood discounting task where willingness to isolate from others was measured in days as a function of the perceived probability of the escalation of a virus to pandemic levels. Experiment 1 was conducted immediately prior to the World Health Organization (WHO) declaring COVID-19 a pandemic and results showed that participants were more willing to self-isolate when the perceived probability of reaching pandemic levels was high and when there was a guarantee that others in the community would do the same. Experiment 2 was conducted with a subset of participants from Experiment 1 with the same discounting task, and results showed that participants were more willing to self-isolate 2 months following the onset of the pandemic, supporting the view that willingness to isolate from others is a dynamic process. Finally, Experiment 3 evaluated willingness to socially distance and introduced a hypothetical timescale to evaluate common trends with the real-world temporal dynamics observed in Experiments 1 and 2. Results showed similar trends in the data, supporting the use of hypothetical scenarios within probability discounting tasks in future behavior analytic research related to public health. Springer International Publishing 2022-09-05 2022 /pmc/articles/PMC9444125/ /pubmed/36092128 http://dx.doi.org/10.1007/s40732-022-00527-9 Text en © Association for Behavior Analysis International 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Article
Belisle, Jordan
Paliliunas, Dana
Sickman, Elana
Janota, Taylor
Lauer, Taylor
Probability Discounting in College Students’ Willingness to Isolate During COVID-19: Implications for Behavior Analysis and Public Health
title Probability Discounting in College Students’ Willingness to Isolate During COVID-19: Implications for Behavior Analysis and Public Health
title_full Probability Discounting in College Students’ Willingness to Isolate During COVID-19: Implications for Behavior Analysis and Public Health
title_fullStr Probability Discounting in College Students’ Willingness to Isolate During COVID-19: Implications for Behavior Analysis and Public Health
title_full_unstemmed Probability Discounting in College Students’ Willingness to Isolate During COVID-19: Implications for Behavior Analysis and Public Health
title_short Probability Discounting in College Students’ Willingness to Isolate During COVID-19: Implications for Behavior Analysis and Public Health
title_sort probability discounting in college students’ willingness to isolate during covid-19: implications for behavior analysis and public health
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9444125/
https://www.ncbi.nlm.nih.gov/pubmed/36092128
http://dx.doi.org/10.1007/s40732-022-00527-9
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