The Relationship Between Trait Emotional Intelligence and Personality. Is Trait EI Really Anchored Within the Big Five, Big Two and Big One Frameworks?

Relationships of nursing stress and trait emotional intelligence with mental health in neonatal intensive care unit nurses: A cross-sectional correlational study

BACKGROUND

The neonatal intensive care unit (NICU) is a stressful and emotionally laden environment, but the relationships between nursing stress, emotional intelligence, and mental health have not been studied in NICU nurses.

OBJECTIVES

The study aimed to determine (i) whether nursing stress and trait emotional intelligence controlled for the five-factor model of personality predict mental health in NICU nurses and (ii) whether trait emotional intelligence buffers the effect of nursing stress on mental health.

METHODS

A cross-sectional correlational study in 123 (28%) of 440 eligible NICU nurses using self-report questionnaire measures of nursing stress (Nursing Stress Scale), trait emotional intelligence (Assessing Emotions Scale), and psychological distress and emotional well-being (Mental Health Inventory). The data were analysed using hierarchical multiple regression and moderation analyses.

RESULTS

The hierarchical multiple regressions showed nursing stress predicted psychological distress (ΔR2 = .11) and emotional well-being (ΔR2 = .10) at Step 1. The five-factor model of personality explained further variance in psychological distress (ΔR2 = .27) and emotional well-being (ΔR2 = .26) at Step 2. Finally, trait emotional intelligence predicted further increments in psychological distress (ΔR2 = .05) and emotional well-being (ΔR2 = .08) at Step 3. The optimism (expecting good things to occur in one's life) and mood regulation (dampening, repairing and maintaining emotions) subdimension of trait emotional intelligence predicted psychological distress (β = -.29) and emotional well-being (β = .41) in the final models of the hierarchical multiple regressions. Trait emotional intelligence did not moderate the effect of nursing stress on psychological distress or emotional well-being.

CONCLUSIONS

NICU managers and educators should seek to remedy controllable work-related stressors and support NICU nurses' emotional competence because these respective environmental and personal factors predict mental health in these nurses.

A Descriptive Study Examining the Correlation of Emotional Intelligence and Leadership Styles to Conflict Management Styles of Nursing School Administrators

AIM

This study aimed to identify if a correlation exists among trait emotional intelligence (EI), leadership styles, and conflict management styles used by nurse education administrators.

BACKGROUND

Nursing is fraught with incivility, bullying, and increasing physical aggression. Conflict surrounds nurses at every level. EI and leadership styles in nursing have been addressed. Few studies were found that addressed conflict management by nurse education administrators.

METHOD

A quantitative nonexperimental correlational design using discriminant analysis was used in this study.

RESULTS

Trait EI factors of emotionality and sociability correlated with conflict management styles. Leadership styles and conflict management styles were situational; management styles of integrating and compromising were underused in conflict situations.

CONCLUSION

Nurse education administrators are in a position to become disruptive innovators in changing the nursing culture. The increased use of conflict management styles of integrating and compromising can help address incivility and bullying.

The Relationship Between Teacher-Student Relationship and Adolescent Emotional Intelligence: A Chain-Mediated Mediation Model of Openness and Empathy

BACKGROUND

As the role of emotional intelligence has been increasingly explored, researchers generally agree that emotional intelligence is a better predictor of individual success. And fortunately, emotional intelligence is somewhat easily shaped. Schools are important microsites for the shaping of an individual's emotional intelligence. Good teacher-student relationship contribute to the shaping and development of students' emotional intelligence.

OBJECTIVE

Based on the theory of developmental contextualism, the current study aims to identify the relationship between good teacher-student relationship and students' emotional intelligence, and the mediating roles of students' openness and emotional intelligence.

METHODS

In this study, a total of 352 adolescents (11-15 years old) from two schools were surveyed using the teacher-student relationship scale, big five inventory openness subscale, and emotional intelligence scale.

RESULTS

Teacher-student relationship were positively correlated with students' openness, empathy, and emotional intelligence. Teacher-student relationship positively predicted students' emotional intelligence; students' openness and empathy played a fully mediating role in teacher-student relationship and emotional intelligence.

CONCLUSION

The closeness and supportiveness of the teacher-student relationship were positively related to students' openness, empathy, and emotional intelligence were positively correlated.

Battling Unawareness of One's Test Performance: Do Practice, Self-Efficacy, and Emotional Intelligence Matter?

The "Dunning-Kruger effect" refers to the tendency of poor performers to overestimate test outcomes. Although a widespread phenomenon, questions exist regarding its source and sensitivity to countermeasures. The present field study aimed to (a) examine whether practice with tests used in previous classes can enhance students' ability to estimate test outcomes, (b) determine the main source of the effect (i.e., is it unawareness of one's readiness or wishful thinking?), and (c) assess the extent to which particular individual differences can be used as predictors of test performance. In this study, participants practiced with old tests and then completed the final exam. Before and after the exam, they predicted their grades and indicated their subjective confidence in the predictions made. Furthermore, participants' emotional intelligence and self-efficacy about their academic abilities were surveyed. Results suggested that poor performers were not unaware of their test preparation, but rather engaged in wishful thinking. In fact, although they overestimated their test grades, their estimates not only improved after completing the final test but also were regarded with little confidence. Overall, estimation bias was a good predictor of students' final test performance, whereas subjective confidence and emotional intelligence only weakly predicted such performance. Thus, if proactive interventions are to be developed for at-risk students, performance-estimation tasks may offer valuable information regarding such students' future performance in a course much more than emotional intelligence and self-efficacy measures.

Association Between the Big Five and Trait Emotional Intelligence Among College Students

Purpose

Personality traits are relatively stable and may influence various aspects of human behavior. Trait emotional intelligence (Trait EI) presents the non-cognitive element of intelligence. Trait EI also enables individuals to deal with different stressors of life. Thus, understanding the relationship between personality traits and Trait EI can be beneficial. The current study explores the role of the big five personality factors in influencing Trait EI.

Methods

The study included three hundred and twenty university students from a multidisciplinary Indian university. They were administered the Trait EI questionnaire-short form (TEIQue-SF) and the big five inventory (BFI-44). A cross-sectional design with non-probability sampling was used for the current study.

Results

Findings of the study show that the big five have a significant relationship with global Trait EI, as the big five traits contributed to a 42.7% variance in predicting global Trait EI. Neuroticism was the foremost predictor of global Trait EI. Concerning Trait EI factors, neuroticism, and conscientiousness contributed to all except emotionality. All big five traits except agreeableness influenced well-being and sociability. Neuroticism and conscientiousness predicted self-control. However, agreeableness and extraversion predicted emotionality.

Conclusion

There is a close association between personality traits and Trait EI. However, the relationship is incremental as the big five traits jointly influence the global Trait EI more than individually on the four factors. The study's findings may enable psychologists, counselors, and other mental health professionals to develop training programs for college students to enhance emotional stability and the ability to deal with stress.

Neuroticism and Emotional Intelligence in Adolescence: A Mediation Model Moderate by Negative Affect and Self-Esteem

Different studies have revealed that high scores in neuroticism relate to feelings of guilt, flustering, low self-esteem, and insecurity in relationships with others. The main objective of this work is to analyze the relationship between neuroticism and emotional intelligence in the adolescent stage and try to go one step further in the study of that relationship through the formulation of a moderate mediation model in which negative affect participates as a mediating variable and self-esteem as a moderating variable. Method: The total number of adolescents amounted to 742, with a very similar sample in both sexes, 45.1% boys and 51.5% girls. They were between 13 and 19 years old (M = 15.63, SD = 1.244) and lived in the province of Almería, Spain. Results: First, our main results significantly reflected that the neuroticism personality trait increased negative affect as self-esteem decreased. Second, statistical analyzes showed that the effect of neuroticism on attention and emotional repair was mediated by negative affect, the effect being greater when self-esteem was lower. Therefore, negative affect was presented as a mediating variable in the relationship between neuroticism and attention and emotional repair, with self-esteem acting as a moderating variable in the model. Conclusions: These findings have implications for professional practice with adolescents, since they highlight the importance of carrying out interventions that contribute to the development of self-esteem in the prevention of neuroticism since these actions can help moderate the effect exerted by the negative affect on emotional attention and repair, improving the emotional intelligence of the adolescent and, therefore, their psychological health.

The Relationship between Children’s Trait Emotional Intelligence and the Big Five, Big Two and Big One Personality Traits

The irrefutable repercussions of personality and socio-emotional development on children’s learning and psychological well-being justify the relevance for the educational context of delving into the relationship between those two constructs. Therefore, the research presented in this article investigates the link between trait EI and the B5, B2, and B1 (or GFP) personality traits in children between 9 and 13 years of age. We used the Spanish adaptation of the BFQ-NA (Big Five Personality Questionnaire for Children and Adolescents) and the CDE_9-13 (Emotional Development Questionnaire for primary education) with a sample of 259 primary school students. The results showed correlations between the two Big personality factors (B2) and the Big One personality factor (B1) with trait EI. However, the relationship between trait emotional intelligence and the Big Five personality model (B5) was not very high; only two of the five personality traits significantly predicted trait EI. Thus, our results differ from studies conducted with adults, but instead, it is similar to studies conducted with children. Finally, this study reinforces the thesis that trait EI can be considered a synonym of the GFP (General Factor Personality). Consequently, it implies designing and implementing learning and socioemotional development programs during the school years to promote adaptability and social efficacy.

Trait Emotional Intelligence in Surgeons

Trait emotional intelligence (trait EI or trait emotional self-efficacy) concerns people's perceptions of their emotional functioning. Two studies investigated this construct in surgeons and comparison occupations. We hypothesized that trait EI profiles would differ both within surgical specialties as well as between them and other professions. Study 1 (N = 122) compared the trait EI profiles of four different surgical specialties (General, Orthopedic, Head and Neck, and Miscellaneous surgical specialties). There were no significant differences amongst these specialties or between consultant surgeons and trainees in these specialties. Accordingly, the surgical data were combined into a single target sample (N = 462) that was compared against samples of engineers, executives and senior managers, lawyers, junior military managers, nurses, and salespeople. Surgeons scored significantly higher on global trait EI than junior military managers, but lower than executives and senior managers, salespeople, and nurses. There were no significant differences vis-à-vis engineers or lawyers. A MANOVA confirmed a similar pattern of differences in the four trait EI factors (Wellbeing, Self-control, Sociability, and Emotionality). Global trait EI scores correlated strongly with single-question measures of job satisfaction (r = 0.47) and job performance (r = 0.46) in the surgical sample. These findings suggest that interventions to optimize the trait EI profiles of surgeons can be helpful in relation to job satisfaction, job performance, and overall psychological wellbeing.

Distinguishing between trait emotional intelligence and the five-factor model of personality: additive predictive validity of emotional intelligence for negative emotional states

There is ongoing debate on the utility of trait emotional intelligence and whether it is distinguishable from the five-factor model of personality. In study 1, we investigated the incremental validity of trait emotional intelligence in predicting negative emotional states, after controlling for the five-factor model personality traits. The TEIQue, Mini-IPIP, and DASS-21 were administered to a community based Australian sample. Three significant predictive models emerged: (1) wellbeing, and neuroticism predicting depression; (2) emotionality, and neuroticism predicting anxiety; and (3) self-control, and neuroticism predicting stress. In Study 2, we further explored the relationship between TEIQue domains, neuroticism, and negative emotional states. Three partial mediation models were found: (1) wellbeing mediated the relationship between neuroticism and depression; (2) emotionality mediated the relationship between neuroticism and anxiety; and (3) self-control mediated the relationship between neuroticism and stress. The findings highlight that trait emotional intelligence is related to, and yet distinct from extraversion, conscientiousness, agreeableness, neuroticism, and openness. They also provide support for the incremental validity of the TEIQue domains in predicting depression, anxiety, and stress, beyond the five-factor model personality traits in a community based Australian sample, with the domains of trait emotional intelligence potentially operating as protective factors from pervasive negative moods.

Multimodal prediction of trait emotional intelligence-Through affective changes measured using non-contact based physiological measures

Inability to efficiently deal with emotionally laden situations, often leads to poor interpersonal interactions. This adversely affects the individual's psychological functioning. A higher trait emotional intelligence (EI) is not only associated with psychological wellbeing, educational attainment, and job-related success, but also with willingness to seek professional and non-professional help for personal-emotional problems, depression and suicidal ideation. Thus, it is important to identify low (EI) individuals who are more prone to mental health problems than their high EI counterparts, and give them the appropriate EI training, which will aid in preventing the onset of various mood related disorders. Since people may be unaware of their level of EI/emotional skills or may tend to fake responses in self-report questionnaires in high stake situations, a system that assesses EI using physiological measures can prove affective. We present a multimodal method for detecting the level of trait Emotional intelligence using non-contact based autonomic sensors. To our knowledge, this is the first work to predict emotional intelligence level from physiological/autonomic (cardiac and respiratory) response patterns to emotions. Trait EI of 50 users was measured using Schutte Self Report Emotional Intelligence Test (SSEIT) along with their cardiovascular and respiratory data, which was recorded using FMCW radar sensor both at baseline and while viewing affective movie clips. We first examine relationships between users' Trait EI scores and autonomic response and reactivity to the clips. Our analysis suggests a significant relationship between EI and autonomic response and reactivity. We finally attempt binary EI level detection using linear SVM. We also attempt to classify each sub factor of EI, namely-perception of emotion, managing own emotions, managing other's emotions, and utilization of emotions. The proposed method achieves an EI classification accuracy of 84%, while accuracies ranging from 58 to 76% is achieved for recognition of the sub factors. This is the first step towards identifying EI of an individual purely through physiological responses. Limitation and future directions are discussed.

Emotional Competence Development in Graduate Education: The Differentiated Impact of a Self-Leadership Program Depending on Personality Traits

There is little research on the effectiveness of self-leadership programs (SLPs) in graduate education based on the progress in emotional competences development (ECD), and only a few of the studies incorporate its relationship with personality traits (PTs). This article studies the differentiated impact of an optional SLP, which has eight workshops with a learner-centered and experiential approach, depending on PTs. With a quasi-experimental ex post facto design, students' scores in EDC were analyzed according to their PT extremes: introversion, antagonism, lack of direction, neuroticism, and closed to experience. ANCOVA tests, with ECD pretest as a co-variable, were applied for each PT. The results indicated that the SLP presented a differentiated impact in ECD in four of the five PTs: neuroticism, introversion, antagonism, and lack of direction. These findings can be a key element for the participating students in SLPs because self-leadership requires self-knowledge. ECD can contribute to more integral learning in the graduate education experience, enhancing the preparation for the world of work.

Adaptive Stress Coping in Awake Bruxism

Numerous studies have analyzed the relationship between psychological factors and bruxism. However, the data are often obscured by the lack of precise diagnostic criteria and the variety of the psychological questionnaires used. The purpose of this study is to determine the association between awake bruxism and psychological factors (anxiety, depression, sociability, stress coping, and personality traits). With this aim, 68 participants (13 males) completed a battery of psychological questionnaires, a self-reported bruxism questionnaire, and a clinical examination. Based on their scores on the bruxism questionnaire and the clinical examination, subjects were divided into two groups. Subjects who met the criteria for “probable awake bruxism” were assigned to the case group (n = 29, five males). The control group (n = 39, nine males) was composed of subjects who showed no signs or symptoms of bruxism in the examination nor in the questionnaire. The probable awake bruxism group presented significantly higher levels of trait and state anxiety, symptoms of somatization, and neuroticism than the control group. Despite this, and when their problem coping strategies were considered, awake bruxers showed higher levels in Positive Reappraisal (p < 0.05), a strategy generally considered as adaptive. In conclusion, although awake bruxers in our study showed larger levels of anxiety, somatization, and neuroticism, they also displayed more adapted coping strategies, while according to previous data TMD patients (which generally also present high levels of anxiety, somatization and neuroticism) might tend to present less adaptive coping styles. Thus, awake bruxism may play a positive role in stress coping, which would be compatible with the hypothesis of mastication as a means of relieving psychological tension. This finding should be further confirmed by future research comparing TMD patients with definitive awake bruxers and controls and using larger and more representative samples.

Big Five Personality Traits and Gratitude: The Role of Emotional Intelligence

Background

Among many possible variables that can be associated with gratitude, researchers list personality traits. Considering that these relationships are not always consistent, the first purpose of the present study was to verify how the Big Five factors connect to dispositional gratitude in a sample of Polish participants. The second purpose was to assess the unique contribution of personality traits on gratitude with multiple regression analyses. Moreover, because much remains to be learned about whether these associations are indirectly influenced by different personal or social variables, the third goal was to explore the role of emotional intelligence as a potential mediational mechanism implicated in the relationship between personality traits and gratitude.

Participants Methods and Data Collection

The sample consisted of 712 Polish respondents who were aged between 17 and 88. Most of them were women (64.3%). They answered questionnaires concerning their personality traits, emotional intelligence, and gratitude. The research was conducted using the paper-and-pencil method through convenience sampling.

Results

The results showed that both gratitude and emotional intelligence correlated positively and significantly with extraversion, openness to experience, agreeableness, and conscientiousness. Gratitude and emotional intelligence correlated negatively and significantly with neuroticism. The personality predictor of gratitude with the highest and positive standardized regression value was agreeableness, followed by openness to experience and extraversion. Neuroticism had a negative impact on gratitude. Conscientiousness was the only statistically insignificant predictor in the tested multiple regression model. Moreover, emotional intelligence mediated the relationship between four dimensions of personality (extraversion, openness to experience, agreeableness, and conscientiousness) and gratitude and acted as a suppressor between neuroticism and gratitude.

Conclusion

The current study broadens our comprehension of the interaction among personality traits, emotional intelligence, and a grateful disposition. Moreover, it imparts a noteworthy foundation not only for the mediatory role of emotional intelligence between four dimensions of personality and gratitude but also for its suppressor effect between neuroticism and being grateful.

Do Trait Emotional Intelligence and Dispositional Mindfulness Have a Complementary Effect on the Children's and Adolescents' Emotional States?

Mindfulness is both a non-judgmental and present-centered awareness, which has been applied to reduce negative emotions. On the other hand, Trait Emotional Intelligence (TEI) is the way of how good people perceive their emotional intelligence abilities (perceiving, expressing, understanding, and regulating emotions), which are involved in people's social functioning. This empirical study was designed to analyze whether dispositional mindfulness (DM) and TEI have a potential combined role for children and adolescent's emotional states. In a sample of primary school students (N = 318), age ranged from 8 to 16 years old (M = 11.25, SD = 2.20), participants filled a TEI measure (ESCQ, Emotional skills and competence questionnaire) and two measures of DM (CAMM, Child and Adolescent Mindfulness Measure and AFQ-Y, Avoidance and Fusion Questionnaire for Youth). Measures selected included: PANAS (Positive affect and negative affect schedule), White Bear Suppression Inventory (a thought suppression inventory), and STAIC (State-Trait Anxiety for Children). Findings pointed out that TEI measures (labeling and expression, understanding, and managing emotions) were positively and significantly related to positive emotional states (especially, positive affect and balance) and negatively with a lower association with state anxiety. However, DM measures were both negatively and strongly associated with negative emotional states (thought suppression, negative affect, and anxiety). Conclusions indicate that a combined effect of both TEI skills and DM based interventions would be more complete than each one separately for better social functioning of children and teenagers.

Are Effect Sizes in Emotional Intelligence Field Declining? A Meta-Meta Analysis

Since Salovey and Mayer (1990) first proposed the emotional intelligence (EI) as an independent intellectual component, research on the field of EI has developed rapidly. A large number of studies have shown that emotional intelligence is an important predictor that affects our lives, such as job performance, mental health, and so on. However, we observed that some effect sizes in the field of emotional intelligence decreased over time. Is this kind of decline simply due to random errors, or is emotional intelligence field undergoing decline effects? The present study analyzed 484 effect sizes based on the responses of 102,579 participants from nine meta-analyses in emotional intelligence field to estimate the average effect size, and evidence for decline effects in this field. This study finds that the average effect size of EI is 0.244 (p < 0.001), and the average effect size of mixed EI (r = 0.272, p < 0.001) is significantly higher than that of ability EI (r = 0.160, p < 0.001). Effect sizes in the field of EI decrease with time, there are decline effects in emotional intelligence field. Furthermore, there are also decline effects in mixed EI field. However, we find no evidence that there are decline effects in ability EI field. Base on the significant average effect size of mixed EI, the most likely explanation for the decline in effect sizes is that effect sizes of mixed EI in the original studies were overestimate. This study considers decline effects in mixed EI research as inflated decline effects. To sum up, decline effects in the field of emotional intelligence are mainly due to the choice of emotional intelligence model and measurement method.