Measures Of Emotional Intelligence Research Articles

Role of Emotional Intelligence, in Relationship between Compassion Satisfaction, Compassion Fatigue and Quality of Life Among Nurses Working in ICU

Background: Intensive Care Unit (ICU) nurses encounter emotionally taxing situations that can affect their well-being, making the examination of factors such as emotional intelligence (EI), compassion satisfaction, and fatigue crucial in understanding their quality of life. Objective: This study aimed to explore the interplay between EI, compassion satisfaction, compassion fatigue, and quality of life among ICU nurses, and to examine the mediating role of EI in these relationships. Methods: A convenience sampling method was employed to collect data from 167 ICU nurses using a structured online questionnaire. Demographic data and measures for compassion satisfaction, fatigue, EI, and quality of life were analyzed using SPSS version 25. Path coefficients and mediation analysis were conducted using Partial Least Squares (PLS). Results: The majority of participants were below 30 years (76.2%) and female (67.9%). EI positively correlated with quality of life (path coefficient = 0.139, p = 0.007) and was a partial mediator between compassion satisfaction and quality of life. Higher compassion satisfaction was significantly associated with increased EI and quality of life (path coefficients = 0.264 and 0.628, respectively, p < 0.001). Gender-based analysis revealed differences in quality of life (Males: M = 100.65, SD = 7.98; Females: M = 96.58, SD = 12.59; p = 0.035) and compassion fatigue (Males: M = 65.24, SD = 7.77; Females: M = 61.42, SD = 8.59; p = 0.007). Conclusion: Emotional intelligence is instrumental in enhancing quality of life by mediating the effects of compassion satisfaction and fatigue among ICU nurses. These insights suggest that interventions aimed at increasing EI may be beneficial for nurses facing the demanding conditions of ICU environments.

A Model of Connections Between Positive Characteristics: Emotional Intelligence Links Mindfulness to Positive Characteristics with Emotion Elements

AbstractThis research examined a model positing that mindfulness is a foundation for the development of emotional intelligence and other positive characteristics with emotional elements; these characteristics include self-compassion, gratitude, empathy, resilience, and forgiveness. The model further postulates that adaptive emotional processing, as operationalised by emotional intelligence, may connect mindfulness to positive characteristics with emotion elements. Participants completed trait-level measures of mindfulness, emotional intelligence, self-compassion, gratitude, empathy, resilience, and forgiveness. Greater trait mindfulness was significantly associated with higher levels of emotional intelligence as well as more compassion, gratitude, resilience, and forgiveness. Higher levels of emotional intelligence were significantly associated with more self-compassion, gratitude, empathy, resilience, and forgiveness. Emotional intelligence significantly mediated, or connected, the relationship of mindfulness with gratitude, empathy, resilience, and forgiveness. The results overall support a theoretical model that proposes that mindfulness and emotional intelligence may be foundational for the development of positive characteristics with emotion elements.

Emotional intelligence in young emerging adults: A focus on Wong and Law's scale in the digital work sphere

Despite the growing research on the usefulness and validity of the four-factor Wong and Law Emotional Intelligence Scale (WLEIS), empirical evidence for its relevance to Black African young emerging adults seems non-existent. The study's objective was to assess the relevance of the original WLEIS factor structure for a sample (N = 365) of South African Technical and Vocational Education and Training (TVET) final year students (mean age = 24.3 years; SD = 2.38). Exploratory and confirmatory factor analyses, and convergent and discriminant validity tests revealed a three-factor first-order structure with uniquely descriptive items characteristic of the sample's emotional intelligence. The findings contribute to the WLEIS measurement of emotional intelligence in young emerging adults who are preparing to enter the digital-age work world.

The development of ability emotional intelligence during adolescence

This study aimed to examine the development of ability emotional intelligence (EI) in the adolescent population with a Spanish performance-based instrument of EI: Botín Foundation's Emotional Intelligence Test for Adolescents (TIEFBA), which assesses the respondent's ability to solve emotional problems for each of the four emotional skills of the Mayer and Salovey EI model. With a large cross-sectional sample of Spanish adolescents (N = 5377; girls, 50.9 %) aged from 10 to 17 years (M = 13.57), the authors examined the progression of ability EI across the adolescent period, as well as the effects of gender. The results revealed that girls scored higher than boys on both the total EI and its four branches. Moreover, total EI increased throughout adolescence, but only in girls. Regarding EI branches, while using and understanding emotions increased with age in both girls and boys, managing emotions increased only in girls and perceiving emotions decreased in boys. These findings represent a significant advance that helps us define the evolution of emotional skills in adolescence, providing empirical support for using this performance measure of ability EI.

Validity of the factor structure of EYUPIE-M: A measure of Emotional Intelligence in adolescents

La inteligencia emocional (IE) es una capacidad que contribuye a la adaptación adolescente. Puesto que es un constructo complejo, existen diferentes modelos y criterios de evaluación e instrumentos para su medición. Dada la necesidad de contar con medidas válidas y confiables situadas culturalmente, el objetivo principal de este estudio fue confirmar la estructura factorial y la confiabilidad de la Escala Yucatán del Uso Percibido de Inteligencia Emocional en Menores (EYUPIE-M) en adolescentes mexicanos, y, probar su validez convergente a través de las correlaciones con la Escala de Salud Positiva. Se llevó a cabo un estudio instrumental en el que participaron 1091 estudiantes adolescentes de 9 a 19 años (M = 14.07; DE = 1.77) del Estado de Yucatán, México. El análisis factorial confirmatorio evidenció un modelo de cuatro factores con buenos indicadores de ajuste (χ2 =875.62, gl = 246, p < .001; CFI = .972; TLI = .968; GFI = .988; RMSEA = .049 [IC 90%: .046 - .053]; SRMR = .055). La confiabilidad se examinó a partir de índices de consistencia interna alfa, omega y glb, los cuales oscilaron entre .69 (α) y .94 (glb) para los factores y para la escala general de .64 (ω) y .92 (glb). La validez convergente mostró correlaciones moderadas con la Escala de Salud Mental Positiva. Se presentaron diferencias en los niveles de IE según el sexo y la edad. La EYUPIE-M, presenta propiedades psicométricas adecuadas que apoyan su potencial utilidad para evaluar la IE en adolescentes mexicanos.

A Leave of Absence Might Not Be a Bad Thing: Registered Practical Nurses Working in Home Care During the COVID-19 Pandemic

To describe the resilience and emotional intelligence of Registered Practical Nurses working in Home and Community Care during the COVID-19 pandemic. Specifically, to determine if there was a relationship between resilience and emotional intelligence based on whether a nurse: (1) left the sector, (2) considered leaving, or (3) took a leave of absence during the pandemic. An online cross-sectional survey was used to capture respondents’ demographic information and scores on the Connor–Davidson Resilience Scale, Resilience at Work Scale®, and Wong and Law Emotional Intelligence Scale. Registered Practical Nurses working, or who had worked, in Home and Community Care January 2020 to September 2022 were eligible to participate. The Checklist for Reporting Results of Internet E-Surveys was used. The survey was available June to September 2022 and advertised by the Registered Practical Nurses Association of Ontario to approximately 2105 members. Descriptive statistics and independent samples t-tests were used to analyze results at a level of P < .05 was used for all analyses. A total of 672 respondents participated (completion rate = 92.8%). There were no differences on resilience or emotional intelligence scores based on whether a nurse left, or considered leaving, the Home and Community Care sector during the pandemic. However, nurses who took a leave of absence scored significantly higher on resilience and emotional intelligence measures when compared to those who did not. Results suggest that a leave of absence for these nurses during the pandemic may have been a supportive coping strategy.

Reduced GM-WM concentration inside the Default Mode Network in individuals with high emotional intelligence and low anxiety: a data fusion mCCA+jICA approach.

The concept of emotional intelligence (EI) refers to the ability to recognize and regulate emotions to appropriately guide cognition and behaviour. Unfortunately, studies on the neural bases of EI are scant, and no study so far has exhaustively investigated grey matter (GM) and white matter (WM) contributions to it. To fill this gap, we analysed trait measure of EI and structural MRI data from 128 healthy participants to shed new light on where and how EI is encoded in the brain. In addition, we explored the relationship between the neural substrates of trait EI and trait anxiety. A data fusion unsupervised machine learning approach (mCCA + jICA) was used to decompose the brain into covarying GM-WM networks and to assess their association with trait-EI. Results showed that high levels trait-EI are associated with decrease in GM-WM concentration in a network spanning from frontal to parietal and temporal regions, among which insula, cingulate, parahippocampal gyrus, cuneus and precuneus. Interestingly, we also found that the higher the GM-WM concentration in the same network, the higher the trait anxiety. These findings encouragingly highlight the neural substrates of trait EI and their relationship with anxiety. The network is discussed considering its overlaps with the Default Mode Network.

The QEg: A Generalized Version of QEPro Ability Measure of Emotional Intelligence

The QEg: A Generalized Version of QEPro Ability Measure of Emotional Intelligence

Assessment of the Relevance of Goleman's Emotional Intelligence Model among the Managers of Commercial Banks in Nepal

Even if today's managers can use technology, they are accused of lacking emotional stability. However, to manage the corporate house effectively, a leader needs to possess the decisive trait of emotional stability. So, the study aimed to examine how Goleman's notion of emotional intelligence applies to bank managers. The study's participants included branch heads of commercial banks located in Kathmandu, Bhaktapur, and Lalitpur districts. Information about emotional intelligence was obtained from 215 branch heads using convenience sampling. Exploratory and confirmatory factor analyses were employed using 25 test items to confirm the constructs of emotional intelligence. Due to a low standardized regression weight, one out of 25 items could not be retained. According to the findings, self-awareness, self-regulation, motivation, empathy, and social skills are the five categories into which Nepalese bank managers fall under the emotional intelligence concept. Thus, companies can use this emotional intelligence measure to assess the characteristics of managers who constitute true leaders.   

How many emotional intelligence abilities are there? An examination of four measures of emotional intelligence

The ability model of emotional intelligence (EI) specifies that four related abilities are involved: perceiving emotions, facilitating thought using emotions, understanding emotions, and managing them. Several performance-based assessments have been developed to measure those four abilities. Although some researchers find empirical support for the four abilities, others have argued that emotional intelligence divides into three abilities, two or even a single, unitary ability (Legree et al., 2014; Palmer, Gignac, Manocha, & Stough, 2005). We reanalyzed archival data from four ability tests of emotional intelligence, Ns = 503, 5000, 1000, and 2000, conducting item-level exploratory factor models of all four assessments for the first time. Based on those analyses, we suggest possible revisions of the 4-factor model to guide future research and assessment.

The Perth Empathy Scale: Psychometric Properties of the Polish Version and Its Mental Health Correlates.

The Perth Empathy Scale (PES) is a 20-item self-report questionnaire that assesses people's ability to recognize emotions in others (i.e., cognitive empathy) and vicariously experience other's emotions (i.e., affective empathy), across positive and negative emotions. Originally developed in English, the aim of our study was to introduce the first Polish version of the PES and test its psychometric performance. Our sample was 318 people (184 females, 134 males) with ages ranging from 18 to 77. The factor structure was verified with confirmatory factor analysis. Reliability was tested in terms of internal consistency and test-retest reliability. To explore convergent, divergent, and discriminant validity, we examined relationships between the PES and measures of depression, anxiety, and emotional intelligence. It was shown that the scale was characterized by the intended four-factor solution, thus supporting factorial validity. The internal consistency reliability was also good and test-retest reliability was moderate. The convergent, divergent, and discriminant validity were strong. The clinical importance of assessing affective empathy across both positive and negative emotions was supported. Overall, our results therefore suggest that the Polish version of the PES has strong psychometric performance and clinical relevance as a measure of the multidimensional empathy construct.

Emotional Intelligence in Intensive Clinical Experiences for Nursing Students.

This study looked for associations between measures of emotional intelligence in an intensive clinical experience for nursing students in their final semester of an associate degree program. Twenty nursing students from a technical college in the Midwest volunteered to complete the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT) before and after an intensive clinical experience. The results were mixed with a significant decrease in several specific scores within the MSCEIT on the Time Point 2 test. Stress levels or fatigue could have impacted participants' decreased performance on the MSCEIT.

Assessing the temporal stability of a measure of trait emotional intelligence: Systematic review and empirical analysis

Determining the temporal stability of a construct is crucial to establishing its validity and utility in real-world scenarios. To-date, few studies have investigated the test-retest reliability of trait emotional intelligence (trait EI), particularly over extended periods of time. The present study presents relevant data from the Trait Emotional Intelligence Questionnaire (TEIQue) over variable intervals, ranging from 30 days (one month) to 1444 days (≈ four years). Results provide support for trait EI theory, demonstrating strong temporal stability at all levels of the construct (global, factor, and facet). Future research may focus on extending the test-retest intervals at both ends (i.e., below one month and over four years) as well as on comparisons between different trait EI measures.

Embracing the Emotion in Emotional Intelligence Measurement: Insights from Emotion Theory and Research.

Emotional intelligence (EI) has gained significant popularity as a scientific construct over the past three decades, yet its conceptualization and measurement still face limitations. Applied EI research often overlooks its components, treating it as a global characteristic, and there are few widely used performance-based tests for assessing ability EI. The present paper proposes avenues for advancing ability EI measurement by connecting the main EI components to models and theories from the emotion science literature and related fields. For emotion understanding and emotion recognition, we discuss the implications of basic emotion theory, dimensional models, and appraisal models of emotion for creating stimuli, scenarios, and response options. For the regulation and management of one's own and others' emotions, we discuss how the process model of emotion regulation and its extensions to interpersonal processes can inform the creation of situational judgment items. In addition, we emphasize the importance of incorporating context, cross-cultural variability, and attentional and motivational factors into future models and measures of ability EI. We hope this article will foster exchange among scholars in the fields of ability EI, basic emotion science, social cognition, and emotion regulation, leading to an enhanced understanding of the individual differences in successful emotional functioning and communication.

The relationship between emotional intelligence, anxiety, and performance in physical education and sport students.

Emotional intelligence (EI) has been recently the main target in research on sports psychology. The objectives of this study were to investigate the relation between self-report measures of emotional intelligence, pre-competitive anxiety, and performance among students during the physical education exam of the high school final year. This cross-sectional study was conducted on a sample of 350 students attending the physical education exam in the year 2021-2022. Analysis of the correlations between the scores of Emotional intelligence and anxiety showed that self-confidence was positively correlated with all dimensions of Emotional intelligence (Beta = 0.524; p = 0.000). Multivariate linear regression analysis showed that the most related items to performance were self-confidence in a positive direction (r = 0.56; p = 0.000) and negatively with somatic anxiety (r = -0, 39; p = 0.000). Considering the Emotional intelligence subscales, hetero-emotional management was significantly positively associated with performance (p = 0.000) however emotional perception was negatively correlated with performance (p = 0.003). These results demonstrate the importance of social and emotional learning programs for improving self-confidence and better management of emotions during physical education and sports.

Emotional intelligence moderates the stress-depression link in college students before and during COVID

The COVID-19 pandemic has exacerbated college students’ normative experiences of stress, leading to a mental health crisis. One factor that may protect against the consequences of stress is emotional intelligence (EI), which is associated with a wide range of social, mental health, and academic outcomes. The present study aims to determine whether EI might buffer the effects of life, recent, spillover, and pandemic stress on students’ depression during the COVID-19 pandemic. A secondary aim is to assess whether the hypothesized EI-buffering effect is unique to stress experienced during the pandemic. In 2013, 90 undergraduate students completed measures of EI, recent and life stress, spillover stress, and depression. Another 382 students completed the same survey in 2021, with an additional measure of pandemic stress. Regression analyses investigated the moderating effects of EI on the impact of stress on depression. As hypothesized, EI significantly moderated associations between combined recent and life stress [F(1, 460) = 16.11, p < 0.001, η2 = 0.020], as well as spillover stress [F(1,460) = 6.43, p = 0.012, η2 = 0.008], and depression symptoms for both samples. Also as predicted, EI significantly moderated COVID-related stress and depression symptoms [F(1,373) = 7.44, p = 0.007, η2 = 0.011]. Findings indicate that EI serves as a stress buffer for college students during normatively stressful times as well as during the heightened stress of a global pandemic, although its benefit may differ by type of stress. Future research should explore the possible specificity of EI’s buffering effects on the relationship between different types of stress experienced by college students and depression.

THE EFFECTS OF PERSONALITY TRAITS AND EMOTIONAL INTELLIGENCE ON EMOTIONAL INFORMATION PROCESSING SPEED

In this present study, we aimed to explore whether personality traits within the Big Five model and trait emotional intelligence may have the ability to predict the response speed to emotional stimuli in athletes. We also investigated whether athletes' response speed may differ due to the stimuli's emotional content. The sample included 62 male student-athletes who participated in the study. Participants first completed measures of personality and emotional intelligence. Afterward, they completed an experimental task to measure response speed to emotional stimuli. In this experiment, participants responded to neutral, positive, or negative emotional pictures selected from the International Affective Picture System (IAPS). Results demonstrated that extraversion and neuroticism were not correlated to response speed to emotional stimuli. However, consistent with our predictions, openness to experience was associated (p&lt; .01) with the emotional information processing speed of positively valenced stimuli. Besides, the appraisal of emotions dimension of the trait emotional intelligence was also significantly and negatively correlated to response speed to positively valenced pictures. Although the present study provided only partial support for our predictions regarding the link between emotional information processing speed, personality, and emotional intelligence, our results have some preliminary implications for both researchers and practitioners. Accordingly, our study showed that openness to experience and appraisal of emotions might be a valuable construct for a better understanding individuals' responses to positive emotional stimuli and previously known personality traits.

Emotional intelligence in neurosurgery: Mitigating burnout and enhancing performance.

This study underscores the high burnout rates among physicians, particularly surgical residents, attributing it to the demanding health-care ecosystem. It highlights the negative impacts of burnout, such as medical errors and increased health-care costs, while exploring the potential mitigating role of emotional intelligence (EI) and mindfulness. The research aimed to analyze the existing literature on EI in neurosurgery, focusing on its relationship with physician burnout and its potential role in healthcare leadership and residency training programs. A comprehensive literature review was conducted using multiple databases, including PubMed, OVID Embase, and OVID Medline, using the keywords "Emotional Intelligence" and "neurosurgery." The search duration spanned from each database's inception to June 2023. The review highlighted various studies emphasizing the importance of integrating EI and mindfulness training into medical education and leadership, suggesting that a balance between technical competencies and interpersonal skills are critical. It identified personal integrity, effective communication, professional ethics, pursuit of excellence, relationship building, and critical thinking as key competencies for health-care leadership. EI and a growth mindset play a critical role in managing burnout, enhancing job satisfaction and performance, and promoting effective healthcare leadership. The review, however, acknowledges certain limitations such as small sample sizes, single-institution experiences, potential biases, and inconsistencies in burnout parameters and EI measurement tools. Despite these, it points toward potential areas for future investigation and highlights the importance of standardized EI measurement tools and robust quantitative assessment methods.

Emotional intelligence: An important skill to learn now than ever

Emotional intelligence (EI) is defined as ability of an individual to perceive, understand, regulate, control and utilise emotions. EI is a relatively nascent concept from the 1900s that attempts to connect emotion to general intelligence. Several clinical studies and survey research have confirmed positive association between EI and optimal mental and physical health, overall well-being, and on-aggressive behaviours. In this review, a brief overview on evolutional theory of EI, various models associated with EI, methods of classifying measures, and comparing various EI measurement methods are described. Indeed, EI assessment measures such as Multifactor EI Scale, Mayer-Salovey-Caruso Tests, Self-report Test, Trait EI Questionnaire, Bar-On Emotional Quotient Inventory, The Situational Test of Emotional Management, The Situational Test of Emotional Understanding, Emotional and Social competence Inventory are also discussed. The key purpose of this review is to encapsulate important components of EI to audiences, reap the benefits of evaluating EI and implying attributes to improve their emotional health and general well-being.

Effects of Traffic and Road Contextual Language on Survey Design: A Comparison of Two Emotional Intelligence Scales

Research has found that emotional intelligence (EI) can predict dangerous driving behaviors. However, EI measures have not been explicitly designed for driving and there exists a need to develop an EI scale to better measure drivers’ EI relevant to driving situations. The objective of this study was to evaluate how adapting survey language to the driving context effected the predictive power of driver EI on dangerous driving. Two surveys were conducted, where the baseline survey used the original survey language and the second rephrased every question to provide driving specific context. The two EI scales used in both surveys were the Trait Emotional Intelligence Questionnaire (TEIQue) and Genos EI. Correlation and regression analyses revealed that TEIQue, compared to Genos, has a stronger ability to assess drivers’ EI and predict dangerous behaviors. Changing language to the traffic context significantly improved model fit between driving behaviors and TEIQue, but not Genos.