235,815 research outputs found

    Self-Expressive Creativity in the Adolescent Digital Domain: Personality, Self-Esteem, and Emotions

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    Background: Although self-expressive creativity is related to cyberbullying, it can also reinforce strengths that contribute to positive adolescent development. Our study concentrated on the relationships between personality traits and self-expressive creativity in the digital domain in an adolescent population. For this, we analyzed the effect of self-esteem and emotional intelligence as assets for positive development related to personality traits and self-expressive creativity. Methods: The study population included a total of 742 adolescents that were high-school students in the province of Almería, Spain. The following instruments were used: Big Five Inventory (BFI) to evaluate the five broad personality factors, Rosenberg Self-Esteem Scale (RSE), Expression, Management, and Emotion Recognition Evaluation Scale (TMMS-24), and the Creative Behavior Questionnaire: Digital (CBQD). Results: The cluster analysis revealed the existence of two profiles of adolescents based on their personality traits. The analysis showed that the group with the highest levels of extraversion and openness to experience and lowest levels of neuroticism were those who showed the highest scores in self-esteem, clarity, and emotional repair, as well as in self-expressive creativity. Higher scores in neuroticism and lower scores in extraversion and openness to experience showed a direct negative effect on self-expressive creativity and indirect effect through self-esteem and emotional attention, which acted as mediators in series. Conclusions: To counteract certain characteristics that increase adolescents’ vulnerability to social network bullying, a plan must be developed for adequate positive use of the Internet from a creative model that enables digital self-expression for acquiring identity and self-efficacy through the positive influence of peers, which promotes feelings of empowerment and self-affirmation through constructive tasks that reinforce self-esteem and emotional intelligence

    Does the Leader Make a Difference? Relationship Between Executive Leader Personality and Entrepreneurial Firm Performance

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    The purpose of this study was to expand research on personality and leadership by investigating the relationship between executive leader personality and firm performance. Drawing from research on the five-factor model of personality (the Big Five), executive leader emotional adjustment (low neuroticism) and conscientiousness were hypothesized to be positively related to firm performance. No specific hypotheses were offered for the relationships between the remaining Big Five personality traits (extraversion, agreeableness, and openness to experience) and firm performance. Using a longitudinal sample of initial public offering (IPO) firms, results indicated that emotional adjustment and extraversion were related to measures of firm performance. Specifically, after adjusting for the influence of prior firm performance, as well as for the effects of several industry, firm, and demographic variables, executive leader emotional adjustment was associated with firms that had higher earnings per share and higher stock price; executive leader extraversion was associated with firms that had lower earnings per share and lower productivity. Contrary to expectations, conscientiousness was not related to firm performance

    Trait Emotional Intelligence and Personality: Gender-Invariant Linkages Across Different Measures of the Big Five.

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    This study investigated if the linkages between trait emotional intelligence (trait EI) and the Five-Factor Model of personality were invariant between men and women. Five English-speaking samples (N = 307-685) of mostly undergraduate students each completed a different measure of the Big Five personality traits and either the full form or short form of the Trait Emotional Intelligence Questionnaire (TEIQue). Across samples, models predicting global TEIQue scores from the Big Five were invariant between genders, with Neuroticism and Extraversion being the strongest trait EI correlates, followed by Conscientiousness, Agreeableness, and Openness. However, there was some evidence indicating that the gender-specific contributions of the Big Five to trait EI vary depending on the personality measure used, being more consistent for women. Discussion focuses on the validity of the TEIQue as a measure of trait EI and its psychometric properties, more generally

    Does Personality Matter When We Are Sick? An Empirical Study of the Role of Personality Traits and Health Emotion in Healthcare Technology Adoption Decision

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    Several studies reported disparities among patients in using healthcare technologies. Although some researchers cited demographic characteristics as possible factors responsible for these disparities, these factors alone may not provide a complete view of adoption issues. Thus, disparities among technology users remain a topic of interest to Health Informatics researchers. Although personality traits are important factors in influencing technology adoption behavior, its’ influence in healthcare technology adoption decision remains unknown. Moreover, individuals’ emotion related to their on-going health issues further complicate the situation. Specifically, the interaction effect between patients’ personality traits and health emotional state is an important and interesting research topic that is yet to be explored. This study proposes and empirically tests a conceptual model incorporating individuals’ personality traits and health emotional states in the context of patient portal use. The results suggest interesting finding – individual’s health emotion supersedes the influence of personality traits in healthcare technology adoption decision

    Big Five model and trait emotional intelligence in camouflaging behaviours in autism

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    This study investigated the association of the five-factor model and trait emotional intelligence (trait EI) with camouflaging behaviours (masking and compensating for autistic characteristics) in a large sample of 278 autistic and 230 typically developing (TD) participants. Participants completed questionnaires assessing autistic traits, big five personality, trait EI, and social camouflaging of autistic traits. Camouflaging was negatively related to extraversion, agreeableness, and conscientiousness, while it was positively related to neuroticism. Trait EI was also negatively linked to camouflaging. The differences between autistic and TD participants regarding camouflaging are discussed. Additionally, associations between the dimensions of extraversion, agreeableness, conscientiousness, and neuroticism with autistic traits were found, supporting previous research showing that individuals with higher autistic traits are predisposed to specific personality traits. Trait EI had a negative relationship with autistic traits, suggesting a specific emotional difficulty for individuals with high autistic traits

    Perceived Social Support and Big Five Personality Traits in Middle Adulthood: a 4-Year Cross-Lagged Path Analysis

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    Previous studies have shown that the Big Five personality traits are significantly associated with perceived social support and these associations are positively associated with agreeableness, extraversion, and emotional stability. However, it is not yet clear whether these associations hold longitudinally or how these variables may predict each other over time. To investigate the co-development of personality traits and perceived social support, a cross-lagged path model design was used on a sample of adults (N = 1309) measured on two occasions 4 years apart. The results indicated that while emotional stability predicted perceived social support 4 years later, perceived social support also predicted emotional stability, extraversion, agreeableness, openness, and conscientiousness 4 years later. Our findings suggest that perceived social support may be a resource that has an impact on the development of personality traits known to be associated with social skills as well as the quality and frequency of social interactions in middle adulthood

    From emotional (dys)regulation to internet addiction: a mediation model of problematic social media use among italian young adults

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    Internet addiction (IA) has mostly been investigated with the fear of missing out and difficulties in emotional regulation. The present study examined the link between IA and variables related to problematic social media use (i.e., fear of missing out, social media addiction), together with emotional (dys)regulation and personality traits, providing new insights and an integrated assessment of IA. In total, 397 participants, aged 18-35 years (M = 22.00; SD = 3.83), were administered a set of questionnaires pertaining to IA, problematic social media use, emotional (dys)regulation, and personality traits. Pearson's correlations showed significant associations between IA and the investigated variables, and the tested mediation model highlighted the crucial role played by emotional (dys)regulation in the fear of missing out and problematic use of social networks. Overall, the findings provide support for a new integrated model for understanding the features, predictors, and risk factors of IA

    Big Five Personality Traits, Pathological Personality Traits, and Psychological Dysregulation: Predicting Aggression and Antisocial Behaviors in Detained Adolescents

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    This study tested the utility of three different models of personality, namely the social and personality model, the pathological personality traits model, and the psychological dysregulation model, in predicting overt aggression, relational aggression, and delinquency in a sample of detained boys (ages 12 to 18; M age = 15.31; SD = 1.16). Results indicated that the three personality approaches demonstrated different unique associations with aggression and delinquency. The psychological dysregulation approach, composed of behavioral dysregulation, emotional dysregulation, and cognitive dysregulation, emerged as the overall best predictor of overt aggression, relational aggression, and delinquency. After controlling for the Big Five personality traits, psychological dysregulation accounted for significant variance in overt aggression and delinquency, but not relational aggression. After controlling for callous-unemotional traits and narcissistic traits, psychological dysregulation also accounted for significant variance in overt aggression, relational aggression, and delinquency. Psychological dysregulation did not account for significant variance in aggression or delinquency after controlling for borderline traits. The pathological personality traits approach, comprised of callous-unemotional traits, narcissistic traits, and borderline traits performed second best. In particular, within this approach borderline traits accounted for the most unique variance, followed by narcissistic traits, then callous-unemotional traits. Borderline traits accounted for significant variance in overt aggression, relational aggression, and delinquency when controlling for the Big Five traits, but not after controlling for psychological dysregulation. Narcissistic traits only accounted for significant variance in overt aggression and relational aggression after controlling for the Big Five personality traits, but not after controlling for psychological dysregulation. CU traits only accounted for significant variance in overt aggression after controlling for the Big Five personality traits, but not after controlling for psychological dysregulation. The social and personality model, represented by the Big Five personality traits accounted for the least amount of variance in the prediction of aggression and delinquency, on its own, and when pitted against the other two personality approaches. The exception was that the Big Five personality traits accounted for significant variance in relational aggression beyond narcissistic traits, as well as psychological dysregulation. These findings have implications for assessment and intervention with aggressive and antisocial youth

    Big Five Personality Traits, Pathological Personality Traits, and Psychological Dysregulation: Predicting Aggression and Antisocial Behaviors in Detained Adolescents

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    This study tested the utility of three different models of personality, namely the social and personality model, the pathological personality traits model, and the psychological dysregulation model, in predicting overt aggression, relational aggression, and delinquency in a sample of detained boys (ages 12 to 18; M age = 15.31; SD = 1.16). Results indicated that the three personality approaches demonstrated different unique associations with aggression and delinquency. The psychological dysregulation approach, composed of behavioral dysregulation, emotional dysregulation, and cognitive dysregulation, emerged as the overall best predictor of overt aggression, relational aggression, and delinquency. After controlling for the Big Five personality traits, psychological dysregulation accounted for significant variance in overt aggression and delinquency, but not relational aggression. After controlling for callous-unemotional traits and narcissistic traits, psychological dysregulation also accounted for significant variance in overt aggression, relational aggression, and delinquency. Psychological dysregulation did not account for significant variance in aggression or delinquency after controlling for borderline traits. The pathological personality traits approach, comprised of callous-unemotional traits, narcissistic traits, and borderline traits performed second best. In particular, within this approach borderline traits accounted for the most unique variance, followed by narcissistic traits, then callous-unemotional traits. Borderline traits accounted for significant variance in overt aggression, relational aggression, and delinquency when controlling for the Big Five traits, but not after controlling for psychological dysregulation. Narcissistic traits only accounted for significant variance in overt aggression and relational aggression after controlling for the Big Five personality traits, but not after controlling for psychological dysregulation. CU traits only accounted for significant variance in overt aggression after controlling for the Big Five personality traits, but not after controlling for psychological dysregulation. The social and personality model, represented by the Big Five personality traits accounted for the least amount of variance in the prediction of aggression and delinquency, on its own, and when pitted against the other two personality approaches. The exception was that the Big Five personality traits accounted for significant variance in relational aggression beyond narcissistic traits, as well as psychological dysregulation. These findings have implications for assessment and intervention with aggressive and antisocial youth

    Emotional intelligence as a protective factor for risk behavior in adolescence

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    Emotional intelligence is a concept developed by Salovey and Mayer in 1990. Since the first published work on emotional intelligence, others have modified the original idea by adding personality-like traits to the model of emotional intelligence. Consequently, there is a split in the conceptualization of emotional intelligence and the measurement of emotional intelligence; ability model assessment and mixed or trait model self-report assessment. The ability model of emotional intelligence has stood up to tests of discriminant validity over personality traits, unlike the mixed model of emotional intelligence. It is also distinguishable from cognitive intelligence, yet correlates moderately and therefore is considered related to or a component of intelligence. Little research has used the ability model of emotional intelligence, but there is a growing body of evidence that emotional intelligence is important in the prediction of adolescent risk behavior (Mayer, Perkins, Caruso, & Salovey, 2001; Trinidad & Johnson, 2002). Adolescent risk behavior is a popular area of interest because the leading cause of death of persons between the ages of 15 and 19 years is unintentional injuries resulting from specific behaviors ( e.g., drinking and driving, unprotected sexual intercourse, speeding). The current study adds to the growing body of research that uses ability model emotional intelligence tests through a comparison of emotional intelligence scores with the Five Factor Model personality traits, self-reported risk behavior and risk perception of adolescents and young adults. Several risk behaviors were targeted, and these behaviors are of varying types: Thrill-seeking risk ( e.g., roller blading, sky diving), Rebellious risk (e.g., smoking, staying out late), Reckless risk (e.g., speeding, drinking and driving) and Anti-social risk (e.g., cheating, teasing others). The aim of this study was to answer three important questions. First, is emotional intelligence a protective factor for risk behaviors in adolescence and early adulthood? Second, does emotional intelligence have incremental validity over the NEO-FFI in predicting risk behavior in adolescents and young adults? Finally, do older participants have higher overall emotional intelligence scores then younger participants? Participants were 171 males and females between the ages of 15 and 24 recruited from area high schools, the UNI student population, and the local community. Each participant took the MSCEIT or MSCEIT-YV, the ARQ and the NEO-FFI. The findings of the present study suggest that emotional intelligence is related to risk behavior in high school students. However, in college students, the present results indicate that emotional intelligence is related to risk perception, but not to risk behavior. As expected, thrillseeking behavior was not related to emotional intelligence. Our data show that emotional intelligence provides incremental validity over personality factors in the prediction of risk behavior in high school students and provides incremental validity over personality in the prediction of risk beliefs in college students. We found a small indication of a developmental trend in the college students and a strong trend in the opposite direction from what was expected in the high school participants, which suggests that emotional intelligence may not increase with age
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