Emotional intelligence predicts components of subjective well-being beyond personality: A two-country study using self- and informant reports

This study aimed to examine the ability of overall emotional intelligence (EI) to predict cognitive and affective components of subjective well-being. University students in Germany and Turkey responded to self-report measures of EI, Big Five personality traits, life satisfaction, and positive and negative affect. Multiple informant ratings on subjective well-being measures were obtained to further support the validity of the findings. Results indicated a positive relationship between EI and affective as well as cognitive facets of well-being, with a closer association on part of the affective aspect. The incremental validity of EI was established in that EI predicted both affect balance and life satisfaction when controlling for the Big Five. Whereas participants in Germany reported better well-being than those in Turkey, personality traits and EI explained more variance in well-being measures in Germany than in Turkey. However, the relationship between EI and well-being did not appear to be culturally bound.     

Romantic love: What’s emotional intelligence (EI) got to do with it?

The study examined the role of EI in romantic love among newlywed couples. In addition, we set out to assess to what degree outcomes depend on the specific EI measure employed, i.e., maximal performance (ability-based) vs. typical performance (self-report). In the dyadic design implemented in this research, 100 young heterosexual married couples independently completed the Mayer–Salovey–Caruso emotional intelligence test (MSCEIT), the Schutte self-report inventory (SSRI), and a vocabulary subtest of the MILTA group intelligence battery. EI, assessed via an ability and a self-report measure, showed significant ‘actor effects’, but failed to show significant ‘partner effects’, thus only partially supporting the hypothesis that EI predicts romantic love. Whereas ability-based and self-report measures show the same pattern of relationship with romantic love in dyadic assessments, the magnitudes of outcome relationships as well as the correlations of EI with verbal ability are measure-dependent. Marital partners were not correlated on EI, thus providing little evidence for assortative mating for EI.     

Are emotionally intelligent people less prejudiced? The importance of emotion management skills for outgroup attitudes

People vary in their ability to understand, process, and manage information about one's own and others’ emotions, a construct known as Emotional Intelligence (EI). Past research highlighted the importance of EI in interpersonal relations as well as the key role of emotions underlying outgroup prejudice. Remarkably, hardly any research has investigated the associations between EI and outgroup prejudice. In three studies (total N = 922) conducted in Spain and the United Kingdom, we measured emotional intelligence using self-report and performance tests and prejudice toward a variety of outgroups. Results showed that those with stronger performance-based emotion management skills expressed lower generalized ethnic prejudice (Studies 1–3), more positive attitudes toward immigrants (Study 2a) and refugees (Study 2b), and less homophobic attitudes (Study 3). This negative association between emotion management and prejudice was found with different performance-based EI measures and held after controlling for self-perceived EI (Study 1) and self-reported abilities to regulate emotions (Study 3). Study 3 further demonstrated that higher empathy partly accounted for the association between emotion management and prejudice. The findings suggest that emotion management abilities play an important, but so far largely neglected role in generalized prejudice.     

Ability EI as an intelligence? Associations of the MSCEIT with performance on emotion processing and social tasks and with cognitive ability

Associations among the MSCEIT, a broad-bandwidth measure of ability emotional intelligence (EI), self-report EI, social perception ability, psychometric intelligence and performance on inspection time (IT) tasks, which assessed the speed of processing of emotional and non-emotional information were investigated in two student samples (N=99, 199). The main findings were that MSCEIT scores were unrelated to fluid ability or speed of non-emotional information processing as assessed by IT, but evidence for associations of MSCEIT scores with crystallised ability was found. Positive associations were found between MSCEIT scores, self-report EI and some emotion/social task scores. The results suggest that EI as assessed by the MSCEIT has some properties of an intelligence and is more closely related to crystallised than to fluid ability. The relatively small MSCEIT/g _c correlations suggest that the MSCEIT is not a pure ability measure, although restriction of range in the samples used may also be relevant. More work, and the development of new measures, is required to determine whether performance EI has a fluid component.     

The relation between emotional intelligence and subjective well-being: A meta-analytic investigation

This meta-analysis includes studies concerning the relationships between emotional intelligence (EI) and subjective well-being (SWB). A total of 25 studies with 77 effect sizes and a combined sample of 8520 participants were found. The results provided evidence of a positive significant relationship between EI and SWB (? = 0.32). This relationship was found to be higher in studies using self-report mixed EI instruments (? = 0.38), than with in studies using self-report ability EI instruments (? = 0.32) and performance-based ability EI instruments (? = 0.22). When examining EI measures, there was a larger association between EI and the cognitive component of SWB (? = 0.35) than with the affective component (? = 0.29). There is a need for further research with other evaluation methods to achieve a better understanding of the relationship between EI and SWB.     

Emotional Intelligence in Selection Contexts: Measurement method,criterion‐related validity,and vulnerability to response distortion

Two studies examined aspects of the validity of self‐report and performance‐based measures of emotional intelligence (EI) relevant to their use in personnel selection. In Study 1, structural equation modeling indicated that a two‐factor model with separate factors for the two types of EI measures fit better than a one‐factor solution. The performance‐based EI factor was more related to cognitive ability (R=.38) than personality (R=.26), whereas the self‐report EI factor was more related to personality (R=.85) than cognitive ability (R=.09). Although the performance‐based EI factor correlated more strongly with job performance (ρ=.24) than did that of the self‐report (ρ=.05), it provided little incremental validity beyond cognitive ability and conscientiousness. In Study 2, participants were asked to complete the measures as if applying for a job, and mean scores were then compared with those of Study 1. Results indicated that self‐report EI measures were more vulnerable to distortion than were the performance‐based measures. Implications for the assessment of EI in personnel selection contexts are discussed.     

Relating emotional abilities to social functioning: a comparison of self-report and performance measures of emotional intelligence

Three studies used J. D. Mayer and P. Salovey's (1997) theory of emotional intelligence (EI) as a framework to examine the role of emotional abilities (assessed with both self-report and performance measures) in social functioning. Self-ratings were assessed in ways that mapped onto the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT), a validated performance measure of EI. In Study 1, self-ratings and MSCEIT scores were not strongly correlated. In Study 2, men's MSCEIT scores, but not self-ratings, correlated with perceived social competence after personality measures were held constant. In Study 3, only the MSCEIT predicted real-time social competence, again, just for men. Implications for analyzing how emotional abilities contribute to social behavior are discussed, as is the importance of incorporating gender into theoretical frameworks and study designs.     

The least likely of times: how remembering the past biases forecasts of the future

Atypical events are both memorable and unrepresentative of their class. We tested the hypotheses that (a) people tend to recall atypical instances of events, and (b) when they are unaware of this, they rely on these atypical instances in forecasting their affective reactions to future events. In three studies, participants who were asked to recall an instance of an event and participants who were asked to recall an atypical instance of an event recalled equally atypical instances. However, only the former participants made extreme forecasts about their reactions to future events. The results suggest that the impact bias (the tendency to overestimate the affective impact of future events) may be due in part to people's reliance on highly available but unrepresentative memories of the past.     

Revisiting the predictive validity of emotional intelligence: self-report versus ability-based measures

In response to general press assertions that training emotionally intelligent children will lead to great rewards, this study examined the relationship between emotional intelligence (EI) and academic achievement in college students, using both self-report and ability-based measures of EI. Specifically, the Mayer, Salovey, Caruso Emotional Intelligence Test (MSCEIT, an ability-based measure) and the Bar-On Emotional Quotient Inventory (EQ-i, a self-report measure) were used to predict academic achievement. Achievement was operationalized as the respondents’ cumulative GPA. Results indicated that EI is not a strong predictor of academic achievement regardless of the type of instrument used to measure it. However, a construct validity examination revealed that the MSCEIT correlated highly with indices of cognitive ability but minimally with personality dimensions. In contrast, the EQ-i failed to correlate with indices of cognitive ability but correlated substantially with numerous personality dimensions.     

Assessing Workplace Emotional Intelligence: Development and Validation of an Ability-based Measure

Existing measures of Emotional Intelligence (EI), defined as the ability to perceive, understand, and manage emotions for productive purposes, have displayed limitations in predicting workplace outcomes, likely in part because they do not target this context. Such considerations led to the development of an ability EI measure with work-related scenarios in which respondents infer the likely emotions (perception) and combinations of emotion (understanding) that would occur to protagonists while rating the effectiveness of ways of responding (management). Study 1 (n = 290 undergraduates) used item-total correlations to select scenarios from a larger pool and Study 2 (n = 578) reduced the measure—termed the NEAT—to 30 scenarios on the basis of structural equation modeling. Study 3 (n = 96) then showed that the NEAT had expected correlations with personality and cognitive ability and Study 4 (n = 85) demonstrated convergent validity with other ability EI measures. Last, study 5 (n = 91) established that the NEAT had predictive validity with respect to job satisfaction, job stress, and job performance. The findings affirm the importance of EI in the workplace in the context of a valid new instrument for assessing relevant skills.     

Do Maximizers Predict Better than Satisficers?

We examine the relationship between maximizing (i.e., seeking the best) versus satisficing (i.e., seeking the good enough) tendencies and forecasting ability in a real‐world prediction task: forecasting the outcomes of the 2010 FIFA World Cup. In Studies 1 and 2, participants gave probabilistic forecasts for the outcomes of the tournament and completed a measure of maximizing tendencies. We found that although maximizers expected themselves to outperform others much more than satisficers, they actually forecasted more poorly. Hence, on net, they were more overconfident about their relative performance. Decompositional analyses of overall accuracy revealed that differences in forecasting abilities were primarily driven by maximizers' tendency to give more noisy estimates. In Study 3, participants played a betting task where they could choose between safe and uncertain gambles linked to World Cup outcomes. Again, maximizers did more poorly and earned less, because of greater noise in their choice‐based responses. Copyright © 2011 John Wiley & Sons, Ltd.     

Conceptualizing Affect as Information in Communication Production

An affective orientation is the degree to which individuals are aware of and use affect cues to guide communication. Some people appear to be very sensitive to their emotional state, while others attend primarily to factual, logical information in making decisions. Four studies investigated how affective orientation relates to other communication constructs and behavior. Study One developed the measure, a 20-item scale with sound factor structure and internal reliability. Study Two assessed construct validity. Affective orientation (AO) was predictably related to conversational sensitivity and femininity. Divergent validity was supported in that AO was unrelated to communication apprehension, masculinity, self-monitoring, and need for cognition. Study Three determined that AO was related to communication production: As affective orientation increased, so too did the number of emotions participants were able to list in a timed trial. Study Four analyzed the ways high versus low affectively oriented communicators differ in their recall and communication of emotional events. High affective-oriented respondents exhibited shorter latencies prior to speaking and less pausing during the account.     

Motivated prediction of future feelings: effects of negative mood and mood orientation on affective forecasts

This article examines the role of motivational factors in affective forecasting. The primary hypothesis was that people predict positive emotional reactions to future events when they are motivated to enhance their current feelings. Three experiments manipulated participants' moods (negative vs. neutral) and orientation toward their moods (reflective vs. ruminative) and then assessed the positivity of their affective predictions for future events. As hypothesized, when participants adopted a reflective orientation, and thus should have been motivated to engage in mood-regulation processes, they predicted more positive feelings in the negative than in the neutral mood condition. This pattern of mood-incongruent affective prediction was not exhibited when participants adopted a ruminative orientation. Additionally, within the negative mood condition, generating affective forecasts had a more positive emotional impact on reflectors than on ruminators. The findings suggest that affective predictions are sometimes driven by mood-regulatory motives.     

特质正念对初中生学业情绪预测偏差的影响

基于真实考试和实验室模拟情境, 考察特质正念对初中生学业情绪预测偏差的影响及其机制。结果表明：(1)学业领域存在情绪预测偏差; (2)特质正念影响情绪预测偏差, 特质正念水平高的初中生情绪预测偏差相对更小, 反之则更大; (3)注意聚焦在特质正念影响情绪预测偏差中存在中介作用。本研究初步提出正念的“扩大-联结”解释模型, 推进了学业领域情绪预测的研究, 具有良好的生态学效度和切实的教育实践价值。     

The assessment of emotional intelligence: a comparison of performance-based and self-report methodologies

We assessed the patterns of convergent validity for the Mayer-Salovey-Caruso Emotional Intelligence Test (Mayer, Salovey, & Caruso, 2002), a performance-based measure of emotional intelligence (EI) that entails presenting problems thought to have correct responses, and a self-report measure of EI (Schutte et al., 1998). The relations between EI and demographic characteristics of a diverse community sample (N = 223) concurred with previous research. However, the performance-based and self-report scales were not related to one another. Only self-reported EI scores showed a consistent pattern of relations with self-reported coping styles and depressive affect, whereas the performance-based measure demonstrated stronger relations with age, education, and receiving psychotherapy. We discuss implications for the validity of these measures and their utility.     

Humble persons are more helpful than less humble persons: Evidence from three studies

Connections between humility and other prosocial qualities led us to develop a humility–helpfulness hypothesis. In three studies, humble persons were more helpful than less humble persons. In Study 1, participants (n?=?117) completed self-report measures of humility, the Big Five, and helpfulness. In Study 2, participants (n?=?90) completed an implicit measure of humility and were presented with an unexpected opportunity to help someone in need. In Study 3, participants (n?=?103) completed self-report and implicit measures of humility and were presented a similar helping opportunity. Humility and helpfulness correlated positively when personality and impression management were controlled. Humble participants helped more than did less humble participants even when agreeableness and desirable responding were statistically controlled. Further, implicit humility uniquely predicted helping behavior in an altruistic motivation condition.     

Development and validation of a self-report measure of emotional intelligence as a multidimensional trait domain

Psychometric review of 33 peer-reviewed studies of six self-report emotional intelligence (EI) measures supports a multidimensional conceptualization of EI. The nature and number of EI facets, however, and their distinctiveness from more established trait domains is unclear. Building on earlier efforts, three studies were undertaken (Ns = 138, 163, 152) to develop self-report measures of 10 facets of EI proposed by Salovey and Mayer (1990). Results support the reliability (internal consistency, test-retest) and validity (content, criterion, construct, structural) of the proposed scales and their distinctiveness among themselves and with respect to more established trait domains (e.g., personality). Specifically, three satisfaction and four cross-cultural adaptability facets were predicted uniquely by 9 of the 10 proposed subscales, controlling for social desirability, the Big Five, positive and negative affect, and self-monitoring. All told, results confirm that trait-EI can be measured using self-report and conceptualized as a distinct multidimensional domain.     

Blind spots in the search for happiness: Implicit attitudes and nonverbal leakage predict affective forecasting errors

We investigated implicit knowledge and affective forecasting, reasoning that although conscious evaluations are available to people when predicting their future emotional responses, nonconscious evaluations are not. However, these automatically-activated evaluations should contribute to in-the-moment emotional experiences, and thus they should account for misforecasts (i.e., discrepancies between affective forecasts and actual experiences). We conducted two studies to explore affective misforecasts, using food items as stimuli. In Study 1, participants' implicit attitudes (but not their explicit attitudes) predicted misforecasts of food enjoyment, supporting the role of nonconscious evaluations in affective forecasting errors. In Study 2, we examined participants' facial expressions (another index of nonconscious evaluation) upon the presentation of food items, and we found that these nonverbal behaviors predicted affective misforecasts as well. In sum, although nonconscious evaluations are unavailable when anticipating the future, they may contribute to one's in-the-moment experiences and thus serve as blind spots in affective forecasting.     

Emotion and Motor Control: Movement Attributes Following Affective Picture Processing

The authors investigated the impact of emotion on the performance of a square-tracing task after participants (N = 40) were exposed to pleasant (P), unpleasant (U), and neutral (N) pictures. Physiological and self-report measures indexed affective valence and arousal. In Experiment 1, greater error followed exposure to 4 consecutive U images than exposure to 4 consecutive P images. Speed of performance did not vary as a function of valence. In Experiment 2, participants viewed 1 slide per trial within a modified exposure protocol. Speed of performance varied as a function of valence; faster performance followed U relative to P stimuli. Accuracy of performance did not vary between conditions. Corresponding self-report and physiological measures generally corroborated previous evidence. Findings collectively indicated that the length of exposure to affective stimuli mediates speed and accuracy of motor performance; compared with P stimuli, U stimuli led to either increased error (short exposure) or increased speed (multiple exposures). The authors conclude that brief and extended exposures to affective pictures have direct behavioral consequences, and they discuss the implications of that finding.     

Emotion and motor control: movement attributes following affective picture processing

The authors investigated the impact of emotion on the performance of a square-tracing task after participants (N = 40) were exposed to pleasant (P), unpleasant (U), and neutral (N) pictures. Physiological and self-report measures indexed affective valence and arousal. In Experiment 1, greater error followed exposure to 4 consecutive U images than exposure to 4 consecutive P images. Speed of performance did not vary as a function of valence. In Experiment 2, participants viewed 1 slide per trial within a modified exposure protocol. Speed of performance varied as a function of valence; faster performance followed U relative to P stimuli. Accuracy of performance did not vary between conditions. Corresponding self-report and physiological measures generally corroborated previous evidence. Findings collectively indicated that the length of exposure to affective stimuli mediates speed and accuracy of motor performance; compared with P stimuli, U stimuli led to either increased error (short exposure) or increased speed (multiple exposures). The authors conclude that brief and extended exposures to affective pictures have direct behavioral consequences, and they discuss the implications of that finding.