Trait emotional intelligence and ecological outcomes: the role of connectedness to nature

BACKGROUND

Global climate change is recognized as a major and irreversible challenge for humanity, requiring people's responsible and sustainable behaviors toward the environment. So far, the literature has widely investigated the role of cognitive determinants of ecological outcomes (e.g., pro-environmental behaviors and climate change perception), while less attention has been devoted to emotional processes, such as trait emotional intelligence (TEI). The current double study investigates whether TEI is directly and indirectly associated with climate change perception (CCP, Study 1) and pro-environmental behaviors (PEBs, Study 2) among young adults. Furthermore, the mediating role of connectedness to nature (CN), both as cognitive and emotional factors, was also analyzed. We hypothesized that CN (i.e., cognitive mediator) would positively mediate the relationship between TEI and CCP (H1), and Love and Care for Nature (LCN, i.e., emotional mediator) would positively mediate the relationship between TEI and PEBs (H2).

METHODS

The study involved 342 young adults (F = 60.7%; age 19-40; Mage=22.99; SD = 2.66) in Study 1 and 365 young adults (F = 71.2%; age 17-35; Mage=22.2; SD = 3.98) in Study 2. Data were collected through an online tool shared by the snowball method. We administered the following self-reports: Trait Emotional Intelligence Questionnaire- Short Form (TEIQue- SF), Global Climate Change (GCC), and Connectedness to Nature Scale (CNS) (Study 1); Trait Emotional Intelligence Questionnaire- Short Form (TEIQue-SF), General Environmental Behaviors Scale (GEB), and Love and Care for Nature (LCN) (Study 2).

RESULTS

Findings from Study 1 showed that higher TEI levels enhance CN (i.e., cognitive mediator), positively influencing CCP (estimate = 0.14; 95% CI = 0.07 to 0.23). Findings from Study 2 showed that higher TEI levels are associated with higher LCN levels (i.e., emotional mediator), influencing people's engagement in PEBs (estimate = 0.7; 95% CI = 0.03 to 0.11).

CONCLUSION

It is crucial to design environmental education programs that promote greater emotional intelligence ability and encourage individuals' involvement in ecological outcomes.

Evidence on the Relationship Between Emotional Intelligence and Risk Behavior: A Systematic and Meta-Analytic Review

The aim of the present study was to carry out a qualitative and quantitative synthesis of the existing literature studying the relationship between emotional intelligence and risk behavior. We conducted a systematic review and meta-analysis of the scientific evidence available relating both constructs. Particular attention was paid to identifying possible differences in this relationship as a function of the different conceptualizations of EI and the risk domain. The study was conducted following the Cochrane and PRISMA guidelines. Our results revealed a significant negative relationship between EI and health-related risk behaviors. However, this relationship was not observed in other risk domains such as finance and gambling. The relationship between EI and risk behavior differed according to the risk domain studied, which supports the notion that risk is a domain-specific construct. The results associated with the health-related risk behaviors are consistent with existing literature about the positive impact of emotional abilities on the health domain. A more complete understanding of the emotional mechanisms that underlie risk behavior could help to establish action guidelines and improve programmes to prevent and reduce the negative effects of risk behavior on our society.

Differences in Mood, Optimism, and Risk-Taking Behavior Between American and Chinese College Students

Mood and optimism have been demonstrated to influence risk-taking decisions; however, the literature on mood, optimism, and decision-making is mixed and conducted primarily with western samples. This study sought to address this gap in the literature by examining the impact of mood and dispositional optimism on risk-taking and whether these associations differed between undergraduate students from the United States (N = 141) and the People’s Republic of China (N = 90). Both samples completed a dispositional optimism questionnaire and an autobiographical mood induction task. They were then tasked with choosing to complete the Raven’s Advanced Progressive Matrices reasoning task on easy, medium, or hard difficulty for hypothetical money. Selecting harder difficulties was interpreted as more risk-taking due to a higher chance of failure. More positive mood and higher dispositional optimism were associated with decreased risk-taking, i.e., selecting easier puzzle difficulties, in the American sample but increased risk-taking decisions, i.e., selecting harder difficulties, in the Chinese sample (p < 0.05 for all). These findings suggest that the effect of mood and optimism on decision-making may differ by nationality and/or culture.

Go Greener, Less Risk: Access to Nature Is Associated with Lower Risk Taking in Different Domains during the COVID-19 Lockdown

Specific risk attitude and risky behavior had an important boost during the coronavirus disease 2019 (COVID-19) pandemic. In this contribution, we hypothesize that access to nature during home confinement will decrease both the tendency to passive risk taking and alcohol intake. To do so, we interviewed through an online survey two samples of Italian residents during the strict lockdown due to the first wave of the COVID-19 pandemic. Specifically, in Study 1, participants were 1519 Italian residents coming from different Italian regions, whilst in Study 2, participants were 182 students at a university of southern Italy who were monitored for one week. In Study 1, the hierarchical regression analysis attested that access to nature during the lockdown mitigated the tendency to passive risk taking, over and beyond the effect of socio-demographic variables and the psychological construct of impulsiveness, an important personality correlate of risk taking. In Study 2, the hierarchical regression showed that access to green was associated with fewer glasses of alcohol drunk in a week of lockdown. This effect held over and above the effect of socio-demographic variables and the drinking behavior before the outbreak of the COVID-19 pandemic. In both studies, findings confirmed the beneficial effect of access to nature in specific risk-taking domains. Theoretical future directions, as well as practical implications for the management of the COVID-19 emergency by policymakers, are discussed.

Psychological Predictors of Energy Saving Behavior: A Meta-Analytic Approach

Understanding how psychological processes drive human energy choices is an urgent, and yet relatively under-investigated, need for contemporary society. A knowledge gap still persists on the links between psychological factors identified in earlier studies and people's behaviors in the energy domain. This research applies a meta-analytical procedure to assess the strength of the associations between five different classes of individual variables (i.e.,: attitudes, intentions, values, awareness, and emotions) and energy-saving behavioral intentions and behaviors (self-reported and actual). Based on a systematic review of studies published between 2007 and 2017, we estimate the average effect size of predictor-criterion relations, and we assess relevant moderators and publication bias, drawing on data obtained from 102 independent samples reported in 67 published studies (N = 59.948). Results from a series of five single meta-analyses reveal a pattern of significant positive associations between the selected psychological determinants and energy-saving indicators: associations between individual-level predictors and energy-saving outcomes are positive and moderate in size, ranging from large effects for emotions to small-moderate effects for pro-environmental values. Interestingly, moderation analysis reveals, among other things, that attitude-behavior links are not statistically significant when actual behavior is considered as an outcome. Implications for policy interventions are discussed.

Reward Responsiveness and Inhibition Traits Differentially Predict Economic Biases in Gain and Loss Contexts

Research on economic decision making has revealed specific biases in gain versus loss domains such that risky choice options are overvalued in gain conditions, implying optimism, but undervalued in loss conditions, implying pessimism. Individual differences in motivational traits and affective states have been shown to predict beliefs and behavior in risky decision making, but it is presently unclear which personal characteristics are most predictive of domain-specific biases. To address this gap in the literature, we investigated the relative influence of positive and negative motivational traits (general sensitivity to rewards and punishments) versus affective states (current levels of positive and negative emotions) on beliefs and choice behavior during a risky economic decision task. We also expanded on previous research by examining how the valence of one’s judgment context (positive context tested in Experiment 1, negative context tested in Experiment 2) may determine whether risky choice behavior is more strongly influenced by positive versus negative characteristics. Biases in belief were calculated using an economic decision task that involved estimating the value of risky “stocks” relative to safe “bonds” from experienced outcomes. Experiment 1 used a positive judgment context (likelihood of a “good stock”) while Experiment 2 used a negative judgment context (likelihood of a “bad stock”). Consistent with previous findings, we observed a domain-based bias in beliefs about stock values across experiments, such that participants exhibited optimism in gain domain and pessimism in the loss domain. Experiment 1 further revealed that domain-based bias and suboptimal choice behavior was predicted by trait-level reward sensitivity, while positive affective state (PAS) had a more limited influence on belief bias alone. Under the negative judgment context of Experiment 2, there was a similar relationship between reward sensitivity and choice behavior; however, results revealed a slightly stronger influence of negative affective state (NAS). A subsequent cross-study analysis found sensitivity to rewards was most predictive of domain-based biases. These results suggest that motivational traits – particularly those relating to reward sensitivity – are more consistent predictors of domain-based biases and risky choice behavior than affective states, but their predictive power depends the valence of the decision context.

A New Layered Model on Emotional Intelligence

Emotional Intelligence (EI) has been an important and controversial topic during the last few decades. Its significance and its correlation with many domains of life has made it the subject of expert study. EI is the rudder for feeling, thinking, learning, problem-solving, and decision-making. In this article, we present an emotional⁻cognitive based approach to the process of gaining emotional intelligence and thus, we suggest a nine-layer pyramid of emotional intelligence and the gradual development to reach the top of EI.

Alexithymia and risk preferences: Predicting risk behaviour across decision domains

Risk-taking is a critical health factor as it plays a key role in several diseases and is related to a number of health risk factors. The aim of the present study is to investigate the role of alexithymia in predicting risk preferences across decision domains. One hundred and thirteen participants filled out an alexithymia scale (Toronto Alexithymia Scale-TAS-20), impulsivity and venturesomeness measures (I7 scale), and-1 month later-the Cognitive Appraisal of Risky Events (CARE questionnaire). The hierarchical regression analyses showed that alexithymia positively predicted risk preferences in two domains: aggressive/illegal behaviour and irresponsible academic/work behaviour. The results also highlighted a significant association of the alexithymia facet, externally oriented thinking (EOT), with risky sexual activities. EOT also significantly predicted aggressive/illegal behaviour and irresponsible academic/work behaviour. The alexithymia facet, Difficulty Identifying Feelings, significantly predicted irresponsible academic/work behaviour. The results of the present study provide interesting insights into the connection between alexithymia and risk preferences across different decision domains. Implications for future studies and applied interventions are discussed.

The importance of trait emotional intelligence and feelings in the prediction of perceived and biological stress in adolescents: hierarchical regressions and fsQCA models

The purpose of this study is to analyze the combined effects of trait emotional intelligence (EI) and feelings on healthy adolescents' stress. Identifying the extent to which adolescent stress varies with trait emotional differences and the feelings of adolescents is of considerable interest in the development of intervention programs for fostering youth well-being. To attain this goal, self-reported questionnaires (perceived stress, trait EI, and positive/negative feelings) and biological measures of stress (hair cortisol concentrations, HCC) were collected from 170 adolescents (12-14 years old). Two different methodologies were conducted, which included hierarchical regression models and a fuzzy-set qualitative comparative analysis (fsQCA). The results support trait EI as a protective factor against stress in healthy adolescents and suggest that feelings reinforce this relation. However, the debate continues regarding the possibility of optimal levels of trait EI for effective and adaptive emotional management, particularly in the emotional attention and clarity dimensions and for female adolescents.