Cargando…
Exploring the association between compliance with measures to prevent the spread of COVID-19 and big five traits with Bayesian generalized linear model
Research has examined the association between people's compliance with measures to prevent the spread of COVID-19 and personality traits. However, previous studies were conducted with relatively small-size datasets and employed frequentist analysis that does not allow data-driven model explorat...
Autor principal: | |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7901385/ https://www.ncbi.nlm.nih.gov/pubmed/33642661 http://dx.doi.org/10.1016/j.paid.2021.110787 |
_version_ | 1783654378465394688 |
---|---|
author | Han, Hyemin |
author_facet | Han, Hyemin |
author_sort | Han, Hyemin |
collection | PubMed |
description | Research has examined the association between people's compliance with measures to prevent the spread of COVID-19 and personality traits. However, previous studies were conducted with relatively small-size datasets and employed frequentist analysis that does not allow data-driven model exploration. To address the limitations, a large-scale international dataset, COVIDiSTRESS Global Survey dataset, was explored with Bayesian generalized linear model that enables identification of the best regression model. The best regression models predicting participants' compliance with Big Five traits were explored. The findings demonstrated first, all Big Five traits, except extroversion, were positively associated with compliance with general measures and distancing. Second, neuroticism, extroversion, and agreeableness were positively associated with the perceived cost of complying with the measures while conscientiousness showed negative association. The findings and the implications of the present study were discussed. |
format | Online Article Text |
id | pubmed-7901385 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-79013852021-02-24 Exploring the association between compliance with measures to prevent the spread of COVID-19 and big five traits with Bayesian generalized linear model Han, Hyemin Pers Individ Dif Article Research has examined the association between people's compliance with measures to prevent the spread of COVID-19 and personality traits. However, previous studies were conducted with relatively small-size datasets and employed frequentist analysis that does not allow data-driven model exploration. To address the limitations, a large-scale international dataset, COVIDiSTRESS Global Survey dataset, was explored with Bayesian generalized linear model that enables identification of the best regression model. The best regression models predicting participants' compliance with Big Five traits were explored. The findings demonstrated first, all Big Five traits, except extroversion, were positively associated with compliance with general measures and distancing. Second, neuroticism, extroversion, and agreeableness were positively associated with the perceived cost of complying with the measures while conscientiousness showed negative association. The findings and the implications of the present study were discussed. Elsevier Ltd. 2021-07 2021-02-23 /pmc/articles/PMC7901385/ /pubmed/33642661 http://dx.doi.org/10.1016/j.paid.2021.110787 Text en © 2021 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Han, Hyemin Exploring the association between compliance with measures to prevent the spread of COVID-19 and big five traits with Bayesian generalized linear model |
title | Exploring the association between compliance with measures to prevent the spread of COVID-19 and big five traits with Bayesian generalized linear model |
title_full | Exploring the association between compliance with measures to prevent the spread of COVID-19 and big five traits with Bayesian generalized linear model |
title_fullStr | Exploring the association between compliance with measures to prevent the spread of COVID-19 and big five traits with Bayesian generalized linear model |
title_full_unstemmed | Exploring the association between compliance with measures to prevent the spread of COVID-19 and big five traits with Bayesian generalized linear model |
title_short | Exploring the association between compliance with measures to prevent the spread of COVID-19 and big five traits with Bayesian generalized linear model |
title_sort | exploring the association between compliance with measures to prevent the spread of covid-19 and big five traits with bayesian generalized linear model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7901385/ https://www.ncbi.nlm.nih.gov/pubmed/33642661 http://dx.doi.org/10.1016/j.paid.2021.110787 |
work_keys_str_mv | AT hanhyemin exploringtheassociationbetweencompliancewithmeasurestopreventthespreadofcovid19andbigfivetraitswithbayesiangeneralizedlinearmodel |