دانلود مقاله ISI انگلیسی شماره 59313
ترجمه فارسی عنوان مقاله

هوش هیجانی خصلتی و خودیکپارچه سازی هدف: عوامل پیش بینی کننده مهم رفاه عاطفی؟

عنوان انگلیسی
Trait emotional intelligence and goal self-integration: important predictors of emotional well-being?
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
59313 2004 13 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Personality and Individual Differences, Volume 37, Issue 3, August 2004, Pages 449–461

ترجمه کلمات کلیدی
هوش هیجانی خصلتی ؛ رفاه عاطفی ؛ خودیکپارچه سازی هدف؛ تلاش های شخصی
کلمات کلیدی انگلیسی
Trait emotional intelligence; Emotional well-being; Goal self-integration; Personal strivings
پیش نمایش مقاله
پیش نمایش مقاله  هوش هیجانی خصلتی و خودیکپارچه سازی هدف: عوامل پیش بینی کننده مهم رفاه عاطفی؟

چکیده انگلیسی

Personal goals vary in the extent to which they are integrated with core aspects of the self. Goal self-integration was measured by asking 95 students to rate their reasons for adopting eight personal strivings. In addition, the trait emotional intelligence (EI) and emotional well-being of participants was measured, in order to determine the influence of goal self-integration and trait EI on each individual’s sense of well-being. A correlational analysis indicated that individuals who report high levels of trait EI also construct more congruent, self-integrated personal goal systems. General linear modelling, however, indicated that global trait EI and goal self-integration were poor predictors of global emotional well-being. Despite this finding, two subscales: mood regulation (EI) and identified regulation (goal self-integration) were found to predict emotional well-being. This result indicated that emotional experience is influenced, in part, by one’s ability to regulate emotions and by establishing personal strivings that are congruent with core values or personal convictions. It is tentatively concluded that trait EI and goal self-integration are both related to emotional well-being, however, further research is needed to identify which of subcomponents has the greatest influence.