I'm wearing a mask, but are they?: Perceptions of Self-Other Differences in COVID-19 Health Behaviors

Abstract

As information about COVID-19 safety behavior changed, people had to judge how likely others were to protect themselves through mask-wearing and vaccination seeking. In a large, campus-wide survey, we assessed whether University of Kansas students viewed others' protective behaviors as different from their own, how much students assumed others would share their beliefs and behaviors, and which individual differences were associated with those estimations. Participants in our survey (N = 1,704; 81.04% white, 64.08% female) evaluated how likely they and others were to wear masks on the University of Kansas campus, wear masks off-campus, and seek a vaccine. They also completed measures of political preference, numeracy, and preferences for risk in various contexts. We found that participants estimated that others would be less likely to engage in health safety behaviors than themselves, but that their estimations of others were widely shared. In addition, of all the individual differences we assessed, political preference displayed the most consistent associations across health behaviors. Not only was false uniqueness ubiquitous across different forms of COVID-19 safety behavior, it was indeed false - estimates of others' health behavior were lower than their actual rates. Understanding this relationship could allow for more accurate norm-setting and normalization of mask-wearing and vaccination.

Spatiotemporal trends in self-reported mask-wearing behavior in the United States: Analysis of a large cross-sectional survey

“…We find that community-reported masking estimates agree closely with bias-corrected self-reported masking behavior, highlighting that surveying participants about community behavior may be an avenue to reduce survey bias. We note, however, that this finding may not apply in all settings; self-reported masking behavior on a university campus closely matched observed masking levels and questions about community masking were less accurate [53]. While these implications for analysis of surveys on human behavior may not apply universally, similar results have been found in other infectious disease applications including disease surveillance (using the CTIS data [27,54]) and early outbreak detection in social networks [55,56].…”