An exploration of adolescent emotional intelligence in relation to demographic characteristics

Emotional intelligence (EI) was measured in 200 youth ages 16-19. EI scores were compared to demographic characteristics of the individuals (age, sex, household income, parents' level of education, and location of residence). Findings indicate that EI levels were positively related to females, parents' education, and household income. The study did not show significant relationships between adolescent EI and location of residence or age. EI scores were significantly different between females and males, with females reporting higher EI levels. A one-way ANOVA showed no significant differences between EI scores and age, location of residence, and household income. Significant differences were found based upon EI scores for parents' education; as they increased, so did EI levels. In a linear regression model, with demograpics as the independent variables and EI as the dependent variable, father's education and sex were both predictors. The results will guide future studies to determine the factors behind adolescent El formation and development.     

Neural correlates of attention to emotional facial expressions in dysphoria

The present study investigated whether dysphoric individuals have a difficulty in disengaging attention from negative stimuli and/or reduced attention to positive information. Sad, neutral and happy facial stimuli were presented in an attention-shifting task to 18 dysphoric and 18 control participants. Reaction times to neutral shapes (squares and diamonds) and the event-related potentials to emotional faces were recorded. Dysphoric individuals did not show impaired attentional disengagement from sad faces or facilitated disengagement from happy faces. Right occipital lateralisation of P100 was absent in dysphoric individuals, possibly indicating reduced attention-related sensory facilitation for faces. Frontal P200 was largest for sad faces among dysphoric individuals, whereas controls showed larger amplitude to both sad and happy as compared with neutral expressions, suggesting that dysphoric individuals deployed early attention to sad, but not happy, expressions. Importantly, the results were obtained controlling for the participants' trait anxiety. We conclude that at least under some circumstances the presence of depressive symptoms can modulate early, automatic stages of emotional processing.     

Academic, motivational, and emotional correlates of adolescent dating

This study is an examination of the relationship between dating status and academic achievement, academic motivation, depression, and self-esteem; it is an investigation of the differential effects wielded by gender and age (grade level) of the dating adolescent in each of these domains. Participants were a relatively large gender-balanced adolescent group (N = 380) from Grades 8, 10, and 12. Dating status was studied first as a binary variable (frequent versus infrequent dating) and second as a dating spectrum, including steady, frequent, and infrequent dating. Results showed that adolescents who dated frequently (more than once or twice a month), whether they were boys or girls, relatively young (8th grade) or more mature (l0th and 12th grades), exhibited consistently and significantly lower levels of academic achievement and academic motivation and higher levels of depressive symptoms. There were no significant effects of dating status on global self-esteem, but, as hypothesized, subscale analyses revealed important subscale-differentiated effects.     

Developmental correlates of emotional intelligence: Temperament,family environment and childhood trauma

This study examined temperament, environmental factors (family environment and childhood trauma), and the interaction between them as developmental correlates of ability and trait emotional intelligence (EI). Using 97 university students, correlational analyses revealed that temperament characteristics were related to trait but not ability EI. Components of family environment and childhood trauma were not significantly related to ability or trait EI. Multiple regression analyses confirmed the importance of temperament in predicting trait EI, but provided little support for the role of environmental factors or their interactions with temperament in predicting either type of EI.     

Measuring emotional intelligence

The purposes of this study were (a) to develop a measure of emotional intelligence, the Emotional Intelligence Inventory and (b) to find the underlying dimensions of the inventory by testing 111 high school students at a bilingual college preparatory school. The inventory has 45 items. After excluding the four weakest items, the reliability coefficient alpha was .83. Subsequently, 319 junior and senior high school students at the same school were administered the 41 items. The reliability coefficient was .81. A maximum likelihood factor analysis with a varimax rotation yielded four factors of empathy, utilization of feelings, handling relationships, and self-control. Psychometric properties were sound, and the revised Emotional Intelligence Inventory can be recommended for use in the investigation of emotional intelligence.     

Characteristic emotional intelligence and emotional well-being

Both theory and previous research suggest a link between emotional intelligence and emotional well-being. Emotional intelligence includes the ability to understand and regulate emotions; emotional well-being includes positive mood and high self-esteem. Two studies investigated the relationship between emotional intelligence and mood, and between emotional intelligence and self-esteem. The results of these studies indicated that higher emotional intelligence was associated with characteristically positive mood and higher self-esteem. The results of a third study indicated that higher emotional intelligence was associated with a higher positive mood state and greater state self-esteem. The third study also investigated the role of emotional intelligence in mood and self-esteem regulation and found that individuals with higher emotional intelligence showed less of a decrease in positive mood and self-esteem after a negative state induction using the Velten method, and showed more of an increase in positive mood, but not in self-esteem, after a positive state induction. The findings were discussed in the light of previous work on emotional intelligence, and recommendations were made for further study.     

Relationships between Machiavellianism, emotional intelligence and theory of mind in children

The current study investigates the associations of Machiavellianism (Mach) with trait and ability emotional intelligence (EI), and theory of mind (ToM) in 109 primary school children. Consistent with previous research with adults, negative associations were found between Mach and social and emotional understanding. Subsequent multiple regression analyses for girls showed that being more adept at emotional and social understanding does not lead them to manipulate others in social encounters. This was not the case for boys. These findings are discussed in relation to other social and individual difference variables that impact on Mach, particularly amongst boys.     

Speed of emotional information processing and emotional intelligence

The present study aimed to investigate the relationship between the speed of emotional information processing and emotional intelligence (EI). To evaluate individual differences in the speed of emotional information processing, a recognition memory task consisted of two subtests similar in design but differing in the emotionality of the stimuli. The first subtest required judgment about whether an emotional facial expression in the test face was identical to one of the four emotional expressions of the same individual previously presented. The second subtest required deciding whether the test face with a neutral emotional expression was identical to one of the four neutral faces of different individuals previously presented. Mean response latencies were calculated for “Yes” and “No” responses. All latencies were correlated with other measures of processing speed such as discrimination time and time of figure recognition. However, the emotional expression recognition subtest was hypothesized to require the processing of emotional information in addition to that of facial identity. Latencies in this subtest were longer than those in the face recognition subtest. To obtain a measure of the additional processing that was called for by the emotionality of the stimuli, a subtraction method and regression analysis were employed. In both cases, measures calculated for “No” responses were related to ability EI, as assessed via a self‐report questionnaire. According to structural equation modeling, there was a moderately negative association between latent EI and the latency of “No” responses in the subtest with emotional stimuli. These relationships were not observed for “Yes” responses in the same subtest or for responses in the subtest with neutral face stimuli. Although the differences between “Yes” and “No” responses in their associations with EI require further investigation, the results suggest that, in general, individuals with higher EI are also more efficient in the processing of emotional information.     

Loneliness and emotional intelligence

The possible associations of loneliness with Emotional Intelligence (EI), 2 of its correlates (life satisfaction and a sense of meaning), and several background variables were tested on a sample of 134 young adults attending college in northern Israel. Structural Equation Modeling (SEM) analysis provided support for the model, suggesting that the presence of meaning, EI, and size and availability of an individual's social network are the strongest correlates of loneliness. EI therefore emerges as a potentially important factor in our understanding of loneliness, and the model provides a framework for future studies. The results are discussed vis-à-vis existing findings in the literature and possible directions for approaching loneliness as a theoretical concept and a social phenomenon.     

Neural correlates of autobiographical memory retrieval in children and adults

Autobiographical memory (AM) is a critically important form of memory for life events that undergoes substantial developmental changes from childhood to adulthood. Relatively little is known regarding the functional neural correlates of AM retrieval in children as assessed with fMRI, and how they may differ from adults. We investigated this question with 14 children ages 8–11 years and 14 adults ages 19–30 years, contrasting AM retrieval with semantic memory (SM) retrieval. During scanning, participants were cued by verbal prompts to retrieve previously selected recent AMs or to verify semantic properties of words. As predicted, both groups showed AM retrieval-related increased activation in regions implicated in prior studies, including bilateral hippocampus, and prefrontal, posterior cingulate, and parietal cortices. Adults showed greater activation in the hippocampal/parahippocampal region as well as prefrontal and parietal cortex, relative to children; age-related differences were most prominent in the first 8?sec versus the second 8?sec of AM retrieval and when AM retrieval was contrasted with semantic retrieval. This study is the first to characterise similarities and differences during AM retrieval in children and adults using fMRI.     

Neuroanatomical correlates of intelligence

With the advancement of image acquisition and analysis methods in recent decades, unique opportunities have emerged to study the neuroanatomical correlates of intelligence. Traditional approaches examining global measures have been complemented by insights from more regional analyses based on pre-defined areas. Newer state-of-the-art approaches have further enhanced our ability to localize the presence of correlations between cerebral characteristics and intelligence with high anatomic precision. These in vivo assessments have confirmed mainly positive correlations, suggesting that optimally increased brain regions are associated with better cognitive performance. Findings further suggest that the models proposed to explain the anatomical substrates of intelligence should address contributions from not only (pre)frontal regions, but also widely distributed networks throughout the whole brain.     

Individual and social correlates of aggressive behavior in Lebanese undergraduates: The role of trait emotional intelligence

This study investigates the relationship between Aggressive Behavior and individual factors, namely trait Emotional Intelligence, personality dimensions, emotion regulation and self-worth, as well as social factors, namely accepting/rejecting parenting styles and exposure to violence. The sample consisted of 252 university students in Lebanon (154 females), from 16 to 30 years old. Results from hierarchical regression analyses (controlling for age and gender and in the presence of social and individual predictors) showed that the Self-control and Emotionality factors of trait Emotional Intelligence were significant negative predictors of Aggressive Behavior while controlling for age and gender and in the presence of social and individual predictors). Exposure to violence and openness to experience also predicted Aggressive Behavior. Implications for future research and limitations of the present study are discussed.     

Prenatal maternal predictors of cognitive and emotional delays in children of adolescent mothers

The present study examined relationships among prenatal characteristics of 121 adolescent mothers-including cognitive readiness for parenting, intelligence, social support, and personal adjustment-and intellectual-linguistic development, social-emotional functioning, and adaptive behavior in their children at three years of age. Only 28% of the children scored within normal ranges on all three types of outcomes. Intellectual and linguistic delays were predicted best by prenatal measures of maternal Performance IQ and social support from extended family. Socioemotional problems were predicted best by maternal internalizing problems and social support from partner and friends. Adaptive behavior was associated with parenting style. Implications for the early identification of high-risk children--and associated intervention programs--are discussed.     

Emotional intelligence and emotional creativity

Three studies examined the relationship between emotional intelligence (EI) and emotional creativity (EC) and whether each construct was predictive of creative behavior. It was hypothesized that the relationship between EI and EC corresponds to the relationship between cognitive intelligence and creative ability. Therefore, EI and EC were expected to be two distinct sets of abilities. Intercorrelations and confirmatory factor analyses supported the hypothesis. Furthermore, it was hypothesized that EC, but not EI, would correlate with behavioral creativity. Self-report measures of EC significantly correlated with laboratory and self-reported creativity measures in both studies, while ability measures of EC only correlated with self-reported artistic activity. EI was uncorrelated with creative behavior.     

Electrophysiological correlates of emotional face processing after mild traumatic brain injury in preschool children

Evidence suggests that social skills are affected by childhood mild traumatic brain injury (mTBI), but the neural and affective substrates of these difficulties are still underexplored. In particular, nothing is known about consequences on the perception of emotional facial expressions, despite its critical role in social interactions and the importance of the preschool period in the development of this ability. This study thus aimed to investigate the electrophysiological correlates of emotional facial expressions processing after early mTBI. To this end, 18 preschool children (mean age 53 ± 8 months) who sustained mTBI and 15 matched healthy controls (mean age 55 ± 11 months) were presented with pictures of faces expressing anger, happiness, or no emotion (neutral) while event-related potentials (ERP) were recorded. The main results revealed that P1 amplitude was higher for happy faces than for angry faces, and that N170 latency was shorter for emotional faces than for neutral faces in the control group only. These findings suggest that preschool children who sustain mTBI do not present the early emotional effects that are observed in healthy preschool children at visuospatial and visual expertise stages. This study provides new evidence regarding the consequences of childhood mTBI on socioemotional processing, by showing alterations of emotional facial expressions processing, an ability known to underlie social competence and appropriate social interactions.     

Personality and emotional intelligence in teacher burnout

This paper aims to investigate the relationship between teacher's personality types, emotional intelligence and burnout and to predict the burnout levels of 147 teachers in the city of Mashhad (Iran). To this end, we have used three inventories: Maslach Burnout Inventory (MBI), NEO Five Factor Inventory (NEO-FFI), and Emotional Quotient Inventory (EQ-I). We used Homogeneity Analysis and Multiple Linear Regression to analyze the data. The results exhibited a significant relationship between personality types and emotional intelligence and the three dimensions of burnout. It was indicated that the best predictors for emotional exhaustion were neuroticism and extroversion, for depersonalization were intrapersonal scale of emotional intelligence and agreeableness, and for personal accomplishment were interpersonal scale and conscientiousness. Finally, the results were discussed in the context of teacher burnout.     

Neural and behavioral correlates of emotion recognition in children and adults.

Event-related potentials (ERPs), accuracy scores, and reaction times were used to examine the recognition of emotional expressions. Adults and 7-year-old children saw upright and inverted chromatic slides of the facial expressions of happiness, fear, surprise, and anger, and were asked to press a button for either "happy" or "angry" faces. A positive-going waveform (P300) was apparent at parietal scalp (Pz) and at left and right temporal scalp. Although the behavioral data were similar for both children and adults (e.g., both had more difficulty recognizing angry expressions than happy ones, and angry expressions were more difficult to recognize upside-down than were happy faces), the ERPs indicated that children responded differently than adults did to happy and angry expressions. Adults showed greater P300 amplitude to happy faces, while children showed greater P300 amplitude to angry faces. In addition, for adults, but not children, there were greater P300 amplitude responses at right vs. left temporal scalp.