Research Feed

Most research on how individual differences affect COVID-19 guideline adherence has been cross-sectional, capturing only a single point in time. This leaves a significant gap in understanding prospective associations; how specific personality traits or behaviors actually predict future actions. Specifically, we lack longitudinal data that can forecast mask-wearing habits, the onset of symptoms, or the likelihood of an individual seeking viral testing over time.

This state-level analysis reveals that the American response to COVID-19 was driven by a complex interplay of politics and personality. Even when controlling for partisan allegiances, Openness emerged as a key predictor of mask-wearing, while Conscientiousness predicted less stringent state restrictions. Using commonality regression, researchers found that the shared variance between these personality traits and political affiliation accounted for roughly 35% of the differences in state policies and mask compliance. This suggests that the 'political' divide observed by the public was deeply rooted in underlying psychological clusters that vary geographically across the United States.

Applying a Lewinian interactionist framework, this study examined how both government policy and personality traits influenced sheltering-in-place behavior across 54 countries. Researchers found that while strict government policies effectively increased compliance, individual personality traits remained significant predictors of behavior. Specifically, high levels of Openness, Conscientiousness, Agreeableness, and Neuroticism were linked to staying home, while Extraversion was associated with lower compliance. Notably, the influence of Openness and Neuroticism weakened as government restrictions became more stringent, suggesting that while personality drives behavior in flexible environments, strong external policies can partially override these internal tendencies.