Demographic, personality, and social cognition correlates of coronavirus guideline adherence in a US sample.
Abstract
Objective: The present study examined patterns and psychosocial correlates of coronavirus guideline adherence in a U.S. sample (N = 500) during the initial 15-day period advocated by the White House Coronavirus Task Force. Method: Descriptive and correlational analyses were used to examine the frequency of past 7-day adherence to each of 10 guidelines, as well as overall adherence. Guided by a disposition-belief-motivation model of health behavior, path analyses tested associations of personality traits and demographic factors to overall adherence via perceived norms, perceived control, attitudes, and self-efficacy related to guideline adherence, as well as perceived exposure risk and perceived health consequence if exposed. Results: Adherence ranged from 94.4% reporting always avoiding eating/drinking inside bars/restaurants/food courts to 13.6% reporting always avoiding touching one’s face. Modeling showed total associations with overall adherence for greater conscientiousness (β = .191, p < .001), openness (β = .098, p < .05), perceptions of social endorsement (β = .202, p < .001), positive attitudes (β = .105, p < .05), self-efficacy (β = .234, p < .001), and the presence versus absence or uncertainty of a shelter-in-place order (β = .102, p < .01). Age, self-rated health, sex, education, income, children in the household, agreeableness, extraversion, neuroticism, perceived exposure risk, and perceived health consequence showed null-to-negligible associations with overall adherence. Conclusions: The results clarify adherence frequency, highlight characteristics associated with greater adherence, and suggest the need to strengthen the social contract between government and citizenry by clearly communicating adherence benefits, costs, and timelines. (PsycInfo Database Record (c) 2025 APA, all rights reserved)
Study specs
- Institution
- Wayne State University
- Discipline
- Psychology
- Year
- 2022
- Human Data Platform
- Prolific
- Source
- View Source Google Scholar
Peer Review & Critical Discussion
Potential Selection Bias in 2023 Cohort
The participant pool shows a concerning overrepresentation of users from high-income demographics. Looking at Table 3, we can see that 78% of respondents had annual incomes above $75k, which significantly limits the generalizability of these findings to broader populations.
Non-naive Participants Issue
I've noticed a methodological concern regarding participant naivety. Given that Prolific users often complete multiple studies, there's a real risk that participants had prior exposure to similar experimental paradigms, which could confound the results.
RLHF Applicability to This Study Design
The implications for RLHF training pipelines are understated. If we accept the authors' conclusions about preference stability, this has direct consequences for how we should structure reward model training. The temporal decay effect described in Section 4.2 is particularly relevant.
Verify your expertise to join discussion
Create an account and verify your credentials to participate in peer discussions.