RESUMO
Personality traits play a role in prosocial behavior in relation to containment measures intended to tackle the COVID-19 pandemic. Empirical findings indicated that individuals high in socially aversive traits such as callousness are less compliant with containment measures. This study aimed to add cross-cultural data on the relationship between antisocial traits and adherence to COVID-19 containment measures. The sample consisted of 4,538 adults recruited by convenience in nine countries (Australia, Brazil, England, Iraq, Iran, Italy, Jordan, Saudi Arabia, and the United States). Statistical analyses indicated two latent profiles from our sample, empathic and antisocial, and six COVID-19 containment-measure-related factors using measures covering antisocial traits (PID-5), empathy (ACME), global personality pathology (LPFS-BF), and COVID-19 behaviors and beliefs. Through MANCOVA, the antisocial profile consistently showed less compliance and concern about the COVID-19 containment measures, even when controlling for demographics and local pandemic covariables. The network analysis indicated a lack of empathy and callousness as crucial traits of the predisposition to non-compliant behavior. In elaborating on prosocial campaigns in community emergencies, our cross-cultural findings would need to consider personality traits that focus on antisociality, anticipating similar associations and potential impacts in future disease outbreaks.
Assuntos
COVID-19 , Adulto , Humanos , COVID-19/prevenção & controle , Pandemias/prevenção & controle , Comparação Transcultural , Personalidade , Organização Mundial da SaúdeRESUMO
Learning to code the imagery, communication, and behavior associated with Rorschach responding is challenging. Although there is some survey research on graduate students' impressions of their Rorschach training, research has not identified which coding decisions students find to be the most problematic and time-consuming. We surveyed students to identify what they struggled with most when learning coding and to quantify how difficult it is to learn how to code. Participants (n = 191) from the United States, Brazil, Denmark, Israel, and Italy rated 57 aspects of coding using a 4-point scale that encompassed both the time required to code and the subjective difficulty of doing so. Mean ratings for coding in general indicated that students considered the overall task challenging. Ratings also revealed that students struggled most with Cognitive Special Scores, Determinants, and extrapolating from the tables to code Form Quality for objects that were not specifically listed. The findings offer suggestions about how to improve the guidelines for some of the more difficult variables and where it is most necessary to focus teaching time. Taking these steps might help new students in learning the Rorschach.