scholarly journals Gratitude and Emotional Intelligence as Protective Factors against Cyber-Aggression: Analysis of a Mediation Model

2020 ◽  
Vol 17 (12) ◽  
pp. 4475 ◽  
Author(s):  
María Teresa Chamizo-Nieto ◽  
Lourdes Rey ◽  
John Pellitteri
Keyword(s):  
Emotional Intelligence ◽  
Protective Factors ◽  
Psychological Functioning ◽  
Structural Equation ◽  
Well Being ◽  
Equation Model ◽  
Cyber Bullying ◽  
Cyber Aggression ◽  
Beneficial Effects ◽  
The Social

Cyber-bullying is becoming an increasing school and health problem affecting adolescents worldwide. A number of studies have examined risk factors and protective factors in cyber-bullying situations and their consequences on the psychological well-being of adolescents. Gratitude and Emotional Intelligence (EI) are two personal resources that have been shown to have beneficial effects on the health and the social, personal and psychological functioning of young people. Nevertheless, little is known about these two variables in the context of cyber-bullying. The main purpose of this study was to examine the roles of gratitude and EI in cyber-aggression. Specifically, we hypothesised a mediational effect of gratitude in emotional intelligence-cyber-aggression link. A total of 1157 students aged 12–18 years (54.4% females) completed several questionnaires assessing gratitude (Gratitude Questionnaire; GQ-5), EI (Wong and Law’s Emotional Intelligence Scale; WLEIS-S) and cyber-bullying (European Cyberbullying Intervention Project Questionnaire; ECIPQ). The results showed expected significant associations between the studied variables. Moreover, the structural equation model analysis confirmed that EI dimensions were indirectly associated with cyber-aggression via gratitude, even when controlling for the effects of socio-demographic variables. These findings provide evidence on why those adolescents high in emotional intelligence are less aggressive in cyber-bullying context and suggest possibilities for gratitude interventions to reduce aggressive actions by electronic means among adolescents. The theoretical and practical implications are discussed.

scholarly journals The influence of emotional intelligence and trust on servant leadership

2015 ◽  
Vol 41 (1) ◽  
Author(s):  
Marieta Du Plessis ◽  
Zani Wakelin ◽  
Petrus Nel
Keyword(s):  
Emotional Intelligence ◽  
Servant Leadership ◽  
Work Environment ◽  
Structural Equation ◽  
Statistical Modelling ◽  
Well Being ◽  
Equation Model ◽  
Servant Leaders ◽  
Measurement Scales ◽  
Managerial Implications

Orientation: Constructs were explored from a positive organisational behaviour (POB)paradigm. The aim of POB constructs is to develop and improve employees’ psychological strengths, well-being and performance.Research purpose: The objective of this research was to investigate the relationships between servant leadership, emotional intelligence and trust in the manager. A model depicting a sequential process of interrelationships amongst the constructs was proposed.Motivation for the study: Organisations worldwide acknowledge the role that leadership and emotions play in psychological and physical well-being, as well as job performance of employees. Therefore, organisations need valid and workable interventions to assist their employees to function optimally in the work environment. By understanding the sequential relationships between servant leadership, emotional intelligence and trust, suggestions for such interventions were put forward.Research approach, design and method: Both survey and statistical modelling methodologies were employed to guide the investigation. Standardised questionnaires were used to measure the three different constructs, based on the responses of 154 employees on a composite questionnaire.Main findings: A high level of reliability was found for all the measurement scales utilised.The results of the structural equation model indicated that emotional intelligence and trust in the manager affected servant leadership.Practical/managerial implications: Emotional intelligence training should form part of a necessary component in the development of servant leaders. Sufficient time should also be given to aspirant servant leaders to build relationships when coaching and mentoring their subordinates in order to build trust.Contribution/value-add: The model of sequential relationships between the constructs assists in understanding the antecedents of servant leadership in the work environment.

Gratitude mediates the effect of emotional intelligence on subjective well-being: A structural equation modeling analysis

2016 ◽  
Vol 23 (10) ◽  
pp. 1378-1386 ◽  
Author(s):  
Yuan Geng
Keyword(s):  
Emotional Intelligence ◽  
Structural Equation ◽  
Well Being ◽  
Equation Model ◽  
Equation Modeling ◽  
Subjective Well Being ◽  
Test Results ◽  
Bootstrap Test ◽  
Modeling Analysis ◽  
The Relationship

This study investigated the relationship among emotional intelligence, gratitude, and subjective well-being in a sample of university students. A total of 365 undergraduates completed the emotional intelligence scale, the gratitude questionnaire, and the subjective well-being measures. The results of the structural equation model showed that emotional intelligence is positively associated with gratitude and subjective well-being, that gratitude is positively associated with subjective well-being, and that gratitude partially mediates the positive relationship between emotional intelligence and subjective well-being. Bootstrap test results also revealed that emotional intelligence has a significant indirect effect on subjective well-being through gratitude.

scholarly journals Are More Intelligent People Happier? Emotional Intelligence as Mediator between Need for Relatedness, Happiness and Flourishing

2019 ◽  
Vol 11 (4) ◽  
pp. 1022 ◽  
Author(s):  
Antonino Callea ◽  
Dalila De Rosa ◽  
Giovanni Ferri ◽  
Francesca Lipari ◽  
Marco Costanzi
Keyword(s):  
Emotional Intelligence ◽  
Structural Equation ◽  
Personal Characteristics ◽  
Well Being ◽  
Psychological Research ◽  
Psychological Needs ◽  
Equation Model ◽  
Basic Psychological Needs ◽  
Research Perspective ◽  
Psychological Need

The psychology of sustainability and sustainable development aims to study the personal characteristics that promote effective and sustainable well-being for individuals and environments from a psychological research perspective. According to the self-determination theory, the psychological need for relatedness is positively associated with happiness and flourishing. In turn, emotional intelligence, i.e., understanding and managing one’s own emotions and recognizing others’ emotions, may play a key role in this association. Therefore, the present study investigates the mediating role of emotional intelligence in the relationship between need for relatedness and both happiness and flourishing. Basic Psychological Needs scales (BPNs), Emotional Intelligence Scale (EIS), Flourishing Scale, and Happiness Scale were administered to 216 Italian participants (age range 15–66 years old). A mediation model via a structural equation model for path analysis was tested. The results showed that the psychological need for relatedness positively associated with both happiness and flourishing and that emotional intelligence mediated these associations. These results suggest that important interventions may be performed to promote flourishing and happiness, enhancing emotional intelligence through specific training differently from need for relatedness that, instead, can be considered substantially stable.

scholarly journals The Effect of the Acculturation of Chinese Immigrants on Tourist Satisfaction and Quality of Life

2021 ◽  
Vol 13 (4) ◽  
pp. 1770
Author(s):  
Taeyoung Cho ◽  
Taesoo Cho ◽  
Hao Zhang
Keyword(s):  
Quality Of Life ◽  
Cultural Change ◽  
Cultural Adaptation ◽  
Structural Equation ◽  
Chinese Immigrants ◽  
Well Being ◽  
Equation Model ◽  
Subjective Well Being ◽  
Tourist Satisfaction

Given the rapidly increasing number of foreign nationals migrating to Korea, this study investigates the relationship between cultural adaptation, tourist satisfaction, and quality of life among Chinese immigrants in Korea. A questionnaire survey was conducted among 344 Chinese immigrants in Korea who visited Gyeongju, where Korean World Heritage sites and modern tourist facilities coexist. A structural equation model was used to verify the hypothesis and indicated that cultural assimilation and cultural separation had a significant effect on tourist satisfaction, whereas cultural integration and cultural change did not have any statistically significant effect on tourist satisfaction. Additionally, tourist satisfaction had a significant effect on quality of life (in terms of subjective well-being and psychological well-being). The results of this study can function as a reference for improving Chinese immigrants’ cultural adaptation, tourist satisfaction, and quality of life.

scholarly journals Effectiveness of a short Yoga Nidra meditation on stress, sleep, and well-being in a large and diverse sample

2020 ◽  
Author(s):  
Esther N. Moszeik ◽  
Timo von Oertzen ◽  
Karl-Heinz Renner
Keyword(s):  
Structural Equation ◽  
Well Being ◽  
Equation Model ◽  
Future Research ◽  
Control Group ◽  
Core Element ◽  
Waitlist Control Group ◽  
Affective Components ◽  
Meditation Group ◽  
Yoga Nidra

Abstract Previous studies have shown that meditation-based interventions can have a significant impact on stress and well-being in various populations. To further extend these findings, an 11-min Yoga Nidra meditation that may especially be integrated in a busy daily schedule by people who can only afford short time for breaks was adapted and analyzed in an experimental online study design. The effects of this short meditation on stress, sleep, well-being and mindfulness were examined for the first time. The meditation was provided as audio file and carried out during a period of 30 days by the participants of the meditation group. A Structural Equation Model (SEM) was used to analyze the data with Full Information Maximum Likelihood (FIML) in order to cope with missing data. As expected, the meditation group (N = 341) showed lower stress, higher well-being and improved sleep quality after the intervention (very small to small effect sizes) compared with a waitlist control group (N = 430). It turned out that the meditation had a stronger impact on the reduction of negative affect than on the increase of positive affect and also a stronger effect on affective components of well-being. Mindfulness, as a core element of the meditation, increased during the study within the meditation group. All effects remained stable at follow-up six weeks later. Overall, a large, heterogeneous sample showed that already a very short dose of meditation can positively influence stress, sleep, and well-being. Future research should consider biological markers as well as active control groups.

Effects of Emotional Intelligence and Selfleadership on Students' Coping with Stress

2016 ◽  
Vol 44 (5) ◽  
pp. 853-864 ◽  
Author(s):  
Yefei Wang ◽  
Guangrong Xie ◽  
Xilong Cui
Keyword(s):  
Emotional Intelligence ◽  
Positive Affect ◽  
Structural Equation Model ◽  
Self Efficacy ◽  
Structural Equation ◽  
Active Coping ◽  
Equation Model ◽  
Coping With Stress ◽  
And Coping ◽  
The Relationship

We examined the impacts of emotional intelligence and self-leadership on coping with stress, and assessing the mediating roles that positive affect and self-efficacy play in this process. Participants were 575 students at 2 Chinese universities, who completed measures of coping with stress, self-leadership, emotional intelligence, self-efficacy, and positive affect. The structural equation model analysis results indicated that self-efficacy fully mediated the relationship between emotional intelligence and active coping, as we had predicted. Further, self-leadership had a direct effect on active coping. However, positive affect and self-efficacy did not mediate the relationship between self-leadership and coping with stress. Implications are discussed in terms of theoretical contributions and interventions for coping with stress.

scholarly journals Love Hurts: The Influence of Social Relations on Exercise Self-Efficacy for Older Adults with Osteoarthritis

2008 ◽  
Vol 16 (4) ◽  
pp. 465-483 ◽  
Author(s):  
Kelly A. Cotter ◽  
Aurora M. Sherman
Keyword(s):  
Social Support ◽  
Older Adults ◽  
Social Relations ◽  
Self Efficacy ◽  
Structural Equation ◽  
Physical Activity Behavior ◽  
Well Being ◽  
Equation Model ◽  
Cross Sectional ◽  
Social Strain

Exercise self-efficacy is a powerful predictor of physical activity behavior, which enhances health and well-being for older adults. Social relations have been proposed as influential precursors for exercise self-efficacy. In a longitudinal study of 160 older adults with osteoarthritis (76.9% women), the authors found that social support (but not social strain) significantly predicted exercise self-efficacy in a structural equation model examining cross-sectional data: χ2(178, N = 160) = 264.57, p < .01; RMSEA = .06; CFI = .92; TLI = .90. When data were examined longitudinally, however, social strain (but not social support) significantly predicted lower exercise self-efficacy 1 year later: χ2(233, N = 160) = 288.64, p < .01; RMSEA = .04; CFI = .96; TLI = .95. Results support the negativity effect, suggesting that social strain might be the more potent aspect of social relations and should be the target of interventions.

Analyzing Longitudinal Social Relations Model Data Using the Social Relations Structural Equation Model

2021 ◽  
pp. 107699862110565
Author(s):  
Steffen Nestler ◽  
Oliver Lüdtke ◽  
Alexander Robitzsch
Keyword(s):  
Social Relations ◽  
Structural Equation ◽  
Applied Research ◽  
Structural Equation Models ◽  
Social Groups ◽  
Equation Model ◽  
Model Data ◽  
Cross Sectional ◽  
Social Relations Model ◽  
The Social

The social relations model (SRM) is very often used in psychology to examine the components, determinants, and consequences of interpersonal judgments and behaviors that arise in social groups. The standard SRM was developed to analyze cross-sectional data. Based on a recently suggested integration of the SRM with structural equation models (SEM) framework, we show here how longitudinal SRM data can be analyzed using the SR-SEM. Two examples are presented to illustrate the model, and we also present the results of a small simulation study comparing the SR-SEM approach to a two-step approach. Altogether, the SR-SEM has a number of advantages compared to earlier suggestions for analyzing longitudinal SRM data, making it extremely useful for applied research.

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