Personality traits predict perception of pandemic risk and compliance with infection control measuresuse asterix (*) to get italics

Bjørn Sætrevik, Eilin K. Erevik, Sebastian B. BjørkheimPlease use the format "First name initials family name" as in "Marie S. Curie, Niels H. D. Bohr, Albert Einstein, John R. R. Tolkien, Donna T. Strickland"

2024

<p>Personality traits influence our outlook and choices in life, and may also influence how we evaluate and respond to an extreme event such as the COVID-19 pandemic in 2020. Here we combined big-5 personality measures from a large nationally representative sample before the onset of the pandemic with measures of perceived risk and compliance four months into the pandemic. We predicted that low extraversion, low openness, and high neuroticism would predict higher perceived risk. We further predicted that high conscientiousness, low extraversion, high agreeableness, high openness, and high neuroticism would predict higher compliance. To provide transparency and to control for flexibility in the analysis and reporting of the many possible associations, hypotheses and analysis plans were reviewed and approved in advance of aligning the two datasets (a registered report format). Our results supported [none of the hypotheses / all of the hypotheses / the hypotheses about the effect of conscientiousness / extraversion / agreeableness / openness / neuroticism / on perceived risk / on compliance].&nbsp;</p>

Personality, Big-Five, COVID-19, Perceived risk, Compliance, Registered report

NonePlease indicate the methods that may require specialised expertise during the peer review process (use a comma to separate various required expertises).

Social sciences

Nicola Canessa [nicola.canessa@iusspavia.it] suggested: Dear Editor, , Nicola Canessa [nicola.canessa@iusspavia.it] suggested: I sincerely apologize, but due to other pending review assignments and institutional duties it would be impossible for me to review this ms. timely. Another excellent reviewer is my colleague Claudia Gianelli, asssistant professor at the University of Messina, Italy (claudia.gianelli@unime.it). , Nicola Canessa [nicola.canessa@iusspavia.it] suggested: best , Nicola Canessa [nicola.canessa@iusspavia.it] suggested: nicola canessa No need for them to be recommenders of PCI Registered Reports. Please do not suggest reviewers for whom there might be a conflict of interest. Reviewers are not allowed to review preprints written by close colleagues (with whom they have published in the last four years, with whom they have received joint funding in the last four years, or with whom they are currently writing a manuscript, or submitting a grant proposal), or by family members, friends, or anyone for whom bias might affect the nature of the review - see the code of conduct

2023-11-30 23:17:12

Andrew Jones