Dispositional and situational attribution of COVID-19 risk: A content analysis of response typology (Version: 1)

In the current COVID-19 pandemic, there have been official health recommendations of social distancing, thorough handwashing, and self-isolation to prevent the spread of the virus. However, compliance with these recommendations has been mixed. We suggest that non-compliance may be justified by one’s (mis)perception of their own COVID-19 risk. In this paper, we explore the dispositional and situational attribution of self-reported COVID-19 risk, as per Heider’s Attribution Theory. We conducted a content and framework analysis of responses to an online survey, in which participants (N = 114) were asked to rate their likelihood of contracting the COVID-19 virus, before providing textual responses to explain their rating. Overall, we observed that generally, participants who rated their risk to be low made more dispositional attributions (i.e. attributing their risk to factors such as age and own personal hygiene) whereas higher risk participants made more situational attributions (i.e. attributing COVID-19 risk to government decision-making and other people’s cleanliness). A finalised framework of five response typologies including intrinsic, behavioural, balanced, contextual, and disengaged responses was systematically applied to the data. These results will be discussed in the context of attribution theory and risk perception, whilst providing future recommendations for research that tackles non-compliance of COVID-19 behaviours.