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Emotional Intelligence Structure and Its Relationship with Life Satisfaction and Happiness: New Findings from the Bifactor Model
- Source :
- Journal of Happiness Studies. 21:2031-2049
- Publication Year :
- 2019
- Publisher :
- Springer Science and Business Media LLC, 2019.
-
Abstract
- Emotional intelligence (EI) has been found to generally predict subjective wellbeing (SWB) indicators such as life satisfaction and happiness. Concerning the specific abilities of trait EI, i.e., mood attention, emotional clarity and mood repair, research has largely demonstrated that emotional clarity and mood repair are the strongest predictors of SWB indicators, whereas mood attention has been relegated to a secondary role. To clarify previous inconsistencies, we tested EI by means of the bifactor model because it allows for a better comprehension of the complex nature of EI. The current paper was composed of two studies: Study 1 examined the prediction of SWB indicators by EI and its dimensions in the bifactor model; and Study 2 analysed the differences in EI and SWB indicators across university students and employees. Results of Study 1 demonstrated that the structure of EI is best represented by the bifactor model with a general e(motional)-factor and three specific emotional abilities. Mood attention was a negative predictor of SWB indicators, whereas mood repair was a positive predictor, and emotional clarity was non-significant. Study 2 showed that employees and university students did not differed in how EI predicted SWB indicators. These findings evidenced a shift in the study and measurement of EI. Further implications of this paper are discussed.
- Subjects :
- Emotional intelligence
media_common.quotation_subject
05 social sciences
Life satisfaction
050109 social psychology
050105 experimental psychology
law.invention
Developmental psychology
Comprehension
Mood
law
CLARITY
Trait
Happiness
0501 psychology and cognitive sciences
Positive psychology
Psychology
Social Sciences (miscellaneous)
media_common
Subjects
Details
- ISSN :
- 15737780 and 13894978
- Volume :
- 21
- Database :
- OpenAIRE
- Journal :
- Journal of Happiness Studies
- Accession number :
- edsair.doi...........89147ee1831e86b7c4fd7310b2c926a5
- Full Text :
- https://doi.org/10.1007/s10902-019-00167-x