Trait emotional intelligence ("trait EI") concerns our perceptions of our emotional abilities, i.e., how good we believe we are in terms of understanding, regulating, and expressing emotions in order to adapt to our environment and maintain well-being. In this article, we present succinct summaries of selected findings from research on a) the location of trait EI in personality factor space b) the biological underpinnings of the construct c) indicative applications in the areas of clinical, health, social, educational, organizational, and developmental psychology, and d) trait EI training. Findings to date suggest that individual differences in trait EI are a consistent predictor of human behavior across the life span.

Although stigma negatively impacts autistic people globally, the degree of stigma varies across cultures. Prior research suggests that stigma may be higher in cultures with more collectivistic orientations. This study aimed to identify cultural values and other individual differences that contribute to cross-cultural differences in autism stigma (assessed with a social distance scale) between college students in Lebanon ( n = 556) and those in the United States ( n = 520). Replicating prior work, stigma was lower in women than men and in the United States relative to Lebanon. Heightened autism knowledge, quality of contact with autistic people, openness to experience, and reduced acceptance of inequality predicted lower stigma. Collectivism was not associated with heightened stigma. Findings highlight the need to address structural inequalities, combat harmful misconceptions, and foster positive contact to combat stigma.

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Background/Objective This study examined the role of different psychological coping mechanisms in mental and physical health during the initial phases of the COVID-19 crisis with an emphasis on meaning-centered coping. Method A total of 11,227 people from 30 countries across all continents participated in the study and completed measures of psychological distress (depression, stress, and anxiety), loneliness, well-being, and physical health, together with measures of problem-focused and emotion-focused coping, and a measure called the Meaning-centered Coping Scale (MCCS) that was developed in the present study. Validation analyses of the MCCS were performed in all countries, and data were assessed by multilevel modeling (MLM). Results The MCCS showed a robust one-factor structure in 30 countries with good test-retest, concurrent and divergent validity results. MLM analyses showed mixed results regarding emotion and problem-focused coping strategies. However, the MCCS was the strongest positive predictor of physical and mental health among all coping strategies, independently of demographic characteristics and country-level variables. Conclusions The findings suggest that the MCCS is a valid measure to assess meaning-centered coping. The results also call for policies promoting effective coping to mitigate collective suffering during the pandemic.

Practical implications are discussed in terms of setting limits and boundaries on technology use during childhood and adolescence, and encouraging healthy eating and physical activity at home and on college campuses. Moreover, social media could be used as a platform for intervention and prevention programs to decrease BID, EDs, depression, and anxiety.