Self-reported emotional intelligence, burnout and engagement among staff in services for people with intellectual disabilities

This study examined the relationship among dimensions of self-reported Emotional Intelligence, Engagement and Burnout, using the Trait Meta-Mood Scale, Maslach Burnout Inventory and Utrecht Work Engagement Scale in a sample of Spanish professionals who work at institutions for people with intellectual disabilities. The results showed that Emotional Clarity was significantly associated with Personal Accomplishment (r=.25) and Dedication (r=.25). Further, Repair to moods was significantly correlated with all Engagement dimensions (.20 Vigor, .30 Dedication, .36 Absorption) and with Personal Accomplishment (.31). These findings extend previous research with college students in which Clarity and Repair to moods subscales were relevant predictors of well-being indexes and interpersonal functioning and suggest that the Trait Meta-Mood Scale subscales also show significant relationships with emotional functioning and work-related variables in a professional sample.     

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.     

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.     

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.     

Job characteristics and burnout: The moderating roles of emotional intelligence,motivation and pay among bank employees

This study investigated the prediction of burnout from job characteristics, emotional intelligence, motivation and pay among bank employees. It also examined the interactions of emotional intelligence, motivation, pay and job characteristics in the prediction of burnout. Data obtained from 230 (Males = 127, Females = 103) bank employees were analysed using Pearson's Product Moment Correlation and multiple regression analysis. Results showed that theses variables jointly and separately negatively predicted burnout components. The results further indicated that emotional intelligence, motivation and pay separately interacted with some job characteristic components to negatively predict some burnout components. The findings imply that emotional intelligence, motivation and pay could be considered by counsellors when designing interventions to reduce burnout among bank employees.     

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.     

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.     

Personality,intelligence and proof-reading

Two studies sought to determine personality and cognitive ability correlates of proof-reading. In both studies candidates were given 5 min to identify up to 55 errors in a 920 word, two page document. In Study 1, which tested 240 school children, fluid intelligence (as measured by the Baddeley Reasoning Test) was the highest correlate of proof-reading (r = .30). Eleven percent of the variance in total attempted scores was accounted for by intelligence, Introversion and low Conscientiousness. In the second study 70 undergraduates completed the same proof-reading test along with two intelligence tests (Baddeley Reasoning Test; Wonderlic Personnel Test) and a more robust personality measure (NEO-FFI). Proof-reading was correlated with both intelligence tests (Baddeley r = .45; Wonderlic r = .40). More of the variance was accounted for in the total attempted-score of errors than for a correct errors-detected score. When the two intelligence and five personality trait scores were regressed on to the proof-reading test score over a quarter of the variance (Adj R² = .28) was accounted for, but only the Baddeley test was a significant predictor (Beta = .39).     

Personality, intelligence and proof-reading

Two studies sought to determine personality and cognitive ability correlates of proof-reading. In both studies candidates were given 5 min to identify up to 55 errors in a 920 word, two page document. In Study 1, which tested 240 school children, fluid intelligence (as measured by the Baddeley Reasoning Test) was the highest correlate of proof-reading (r = .30). Eleven percent of the variance in total attempted scores was accounted for by intelligence, Introversion and low Conscientiousness. In the second study 70 undergraduates completed the same proof-reading test along with two intelligence tests (Baddeley Reasoning Test; Wonderlic Personnel Test) and a more robust personality measure (NEO-FFI). Proof-reading was correlated with both intelligence tests (Baddeley r = .45; Wonderlic r = .40). More of the variance was accounted for in the total attempted-score of errors than for a correct errors-detected score. When the two intelligence and five personality trait scores were regressed on to the proof-reading test score over a quarter of the variance (Adj R² = .28) was accounted for, but only the Baddeley test was a significant predictor (Beta = .39).     

Stress, social support, and teacher burnout in Macau

The present study attempts to document the difficulties that teachers in Macau encountered in their work, the extent to which the job-related difficulties would induce burnout, and whether or not social support could buffer the adverse effects of stress on burnout. In-service teachers enrolled in a teacher training program filled out questionnaires addressing the variables of interest. The results indicated that difficulties with fellow teachers, supervisors, students, and parents of students were associated with burnout. Conjectures were made regarding the noneffectiveness of social support.     

Parenting styles and trait emotional intelligence in adolescence

The existence of individual differences in trait emotional intelligence (trait EI) makes the investigation of factors that contribute to such variations critical. Given the paucity of research in this area, the purpose of this study was the examination of the relationship between parenting styles and trait EI in an adolescent population. The sample of our study consisted of 127 adolescents (M age = 16.4, SD = 0.96; 42.2% female) from Greek schools, 15–19 years old, who were asked to complete questionnaires of perceived parenting (Parental Authority Questionnaire – PAQ) and trait EI (Trait Emotional Intelligence Questionnaire–Adolescent Short Form – TEIQue–ASF). The estimation of the association between parenting scores and trait EI was based on a multivariable mixed‐effects regression model. An association between parenting styles and trait EI, statistically significant for authoritativeness (b = 0.27, z = 3.92, p < 0.001) and marginally significant for authoritarianism (b = –0.10, z = –1.77, p = 0.08), emerged even after controlling for a set of potential predictors of trait EI. Additionally, statistically significant associations of adolescents’ gender (b = –0.29, z = –2.37, p = 0.02) and parental education (b = 0.32, z = 2.54, p = 0.01) with trait EI were found. These findings provide insight in the field of trait EI antecedents and underline the potential significance of primary prevention programs with parents that aim to develop trait EI at a young age.     

When getting angry is smart: emotional preferences and emotional intelligence

People who prefer to feel useful emotions, even when they are unpleasant to experience, must understand emotions and seek to regulate them in strategic ways. Such people, therefore, may be more emotionally intelligent compared with people who prefer to feel emotions that may not be useful for the context at hand, even if those emotions are pleasant to experience. We tested this hypothesis by measuring emotional intelligence and preferences to feel pleasant and unpleasant emotions in contexts in which they are likely to be useful or not. We found significant positive associations between emotional intelligence and preferences for useful emotions, even when controlling for trait emotional experiences and cognitive intelligence. People who prefer to feel anger when confronting others tend to be higher in emotional intelligence, whereas people who prefer to feel happiness in such contexts tend to be lower in emotional intelligence. Such findings are consistent with the idea that wanting to feel bad may be good at times, and vice versa.     

Religiosity and perceived emotional intelligence among Christians

Despite copious studies relating religiosity to various psycho-social criteria, it has not been thoroughly explored in relation to emotional intelligence (EI), the ability to perceive, understand and manage emotions toward adaptive behavior. This study examined the extent to which religiosity, operationalized as religious orientation and behavior, was related to perceived EI in self-report measures among 148 church attending adult Christians. Results showed a positive correlation between intrinsic religious orientation and perceived EI, and in particular, its subcomponent emotional understanding, as well as emotional and cognitive empathy. Among behavioral measures of religiosity, only emotional understanding correlated with behavioral indices, though perceived EI overall varied significantly between groups of different levels of religious commitment, as indicated by church status and ministry service. While both attitudinal and behavioral religiosity factors were significantly predictive of perceived EI, the former proved to be more predictive than the latter. Implications of these results and limitations of the study are discussed.     

Trait emotional intelligence and disposition for forgiveness

The association of trait emotional intelligence with a disposition for forgiveness was explored. In addition, the relationship between emotional intelligence and affect was also examined. A sample of 268 Portuguese students completed measures of trait emotional intelligence, disposition to forgive, and affect. Results demonstrated that trait emotional intelligence scores were negatively associated with lasting resentment and negative affect and positively associated with positive affect.     

情绪智力的负面效应及机制

情绪智力是知觉、使用、理解与管理情绪的一组能力。既有研究常将情绪智力与其亲社会性联系起来, 却忽视了它可能存在的负面效应。工作场所中情绪智力的负面效应体现为对内有损身心健康和工作绩效, 对外导致情绪操控和消极行为, 其内在机制可结合自我损耗效应与情绪智力策略模型进行探讨。未来研究应进一步探讨情绪智力负面效应的内在心理机制和特定情境机制, 以及开展群体层次的情绪智力负面效应研究。     

Personality,age, and fluid intelligence

A total of 383 participants (aged 19 to 66 years) completed the Raven's Progressive Matrices, the Myers‐Briggs Type Indicator (MBTI), the Fundamental Interpersonal Relations Orientation‐Behavior (FIRO‐B), and the California Psychological Inventory‐434 (CPI‐434). Results showed that IQ was positively correlated with perceiving (MBTI), control (FIRO‐B), intellectual efficiency (CPI‐434), achievement via independence (CPI‐434), and negatively correlated with sensing (MBTI), internality (CPI‐434) and norm‐favouring (CPI‐434), supporting the majority of the hypotheses. Participants' age was correlated with many measures, particularly intelligence and accounted for a third of the variance in IQ scores. Limitations are considered.     

Personality and intelligence as predictors of creativity

Participants completed the Big Five NEO-FFI (Costa & McCrae, 1992) as a personality measure, the Wonderlic Personnel Test (Wonderlic, 1992) as an intelligence measure, and four measures of creativity: Guilford’s (1967) unusual uses divergent thinking test; the Biographical Inventory of Creative Behaviours; a self-rated measure of creativity; and the Barron–Welsh Art Scale to measure creative judgement. Extraversion was significantly related to all four measures of creativity. Intelligence failed to add any incremental variance in predicting the creativity scores. Multiple regression indicated that up to 47% of the variance in divergent thinking scores can be accounted for by the Big Five personality traits. Personality correlates to creativity vary as a function of the creativity measure.     

Predicting traumatic stress using emotional intelligence

The study investigated whether emotional intelligence (EI) can predict how individuals respond to traumatic experiences. A random sample of 414 participants (181 male, 233 female) were administered a measure of EI along with the Impact of Event Scale--revised [IES-R; Weiss, D. S. & Marmar, C. R. (1997). The Impact of Events Scale--revised. In J.P. Wilson & T.M. Keane (Eds.), Assessing psychological trauma and PTSD (pp. 399-411). New York: Guilford Press], and the monitoring and blunting questionnaire [MBQ, Anxiety Stress Coping 7 (1994) 53]. The results showed that participants with higher NEIS scores report fewer psychological symptoms relating to their traumatic experiences, that monitors are more likely to have higher NEIS scores than blunters. Traumatic events had a greater impact on females than males, and males had higher EI than females. The implications of these findings for using EI as a predictor for individuals who may experience traumatic stress are discussed.