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Browsing by Author "Koydemir, Selda"

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    Article
    Citation - WoS: 85
    Citation - Scopus: 99
    Differences in How Trait Emotional Intelligence Predicts Life Satisfaction: the Role of Affect Balance Versus Social Support in India and Germany
    (Springer, 2013) Koydemir, Selda; Simsek, Omer Faruk; Schuetz, Astrid; Tipandjan, Arun
    In this study, we assessed cross-cultural differences in the extent to which general emotional intelligence is linked to life satisfaction and analyzed mediators of this relationship. We used data from an individualistic culture (Germany) and a collectivistic culture (India) and had university students respond to self-report measures of life satisfaction, positive and negative affect, emotional intelligence, perceived social support, and independent and interdependent self-construals. In line with our hypotheses, we found that Indian students reported less subjective well-being and emotional intelligence than German students. Emotional intelligence was associated with life satisfaction to a higher degree in Germany than in India. In Germany, independent but not interdependent self-construal was related to emotional intelligence; in India, both independent and interdependent self-construals were significantly associated with emotional intelligence. Results of structural equation modeling provided support for our hypotheses regarding mediational models in that the effect of emotional intelligence on life satisfaction was fully mediated by affect balance in Germany and by perceived social support in India.
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    Citation - WoS: 18
    Citation - Scopus: 20
    Linking Metatraits of the Big Five To Well-Being and Ill-Being: Do Basic Psychological Needs Matter?
    (Springer, 2013) Simsek, Omer Faruk; Koydemir, Selda
    There is considerable evidence that two higher order factors underlie the Big-Five dimensions and that these two factors provide a parsimonious taxonomy. However, not much empirical evidence has been documented as to the extent to which these traits relate to certain psychological constructs. In this study, we tested a structural model to investigate the individual differences in well-being and ill-being by examining the mediating effects of autonomy, relatedness, and competence on the extent to which two higher order factors of personality, namely Stability and Plasticity, are linked to life satisfaction and depression. In testing the model, we controlled for the effects of current affect. A large community sample participated and responded to self-measures of The Big-Five personality, basic psychological needs satisfaction, satisfaction with life, depressive symptoms, and positive and negative affect. The results revealed that satisfaction of basic psychological needs fully mediated the relationship between Plasticity and life satisfaction, as well as depression. It also fully mediated the relationship between Stability and life satisfaction, and partially mediated the relationship between Stability and depression.
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    Citation - WoS: 8
    Citation - Scopus: 11
    A Multigroup Multitrait-Multimethod Study in Two Countries Supports the Validity of a Two-Factor Higher Order Model of Personality
    (Academic Press Inc Elsevier Science, 2012) Simsek, Omer Faruk; Koydemir, Selda; Schuetz, Astrid
    This study examined the factor structure of the Big Five Inventory and tested the hypothesis that the five personality dimensions could be summarized by two higher order factors, namely, plasticity and stability, using multigroup multitrait-multimethod confirmatory factor analyses. We tested the higher order model in two young adult samples drawn from Germany and Turkey. Adequate inter-rater agreement between self- and informant reports was obtained. Among the models tested, a two-factor model was the most parsimonious model in which the first factor included Agreeableness. Conscientiousness, and low Neuroticism: and the second factor included Extraversion and Openness to Experience. Invariance of this model was supported by multiple-group analyses, suggesting a lack of variability across samples. (C) 2012 Elsevier Inc. All rights reserved.
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