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Trait Emotional Intelligence Predicts Academic Satisfaction Through Career Adaptability

Author

Listed:
  • Pinar Celik
  • Martin Storme

    (LATI - EA 4469 - Laboratoire Adaptations Travail Individu - UPD5 - Université Paris Descartes - Paris 5, LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique)

Abstract

In the current work we investigated whether trait emotional intelligence (trait EI) contributes to academic satisfaction and explored a potential mechanism to explain this effect. Building on career construction theory (CCT), we hypothesized that trait EI is positively associated with academic satisfaction through enhancing career-specific coping resources—the so-called career adapt-abilities. Using structural equation modeling, we tested the relationship between trait EI and academic satisfaction and the mediating role of career adaptability among undergraduate students (N = 410). Results showed that trait EI is a positive predictor of academic satisfaction and that career adaptability mediates this relationship. These results suggest that the contribution of trait EI to academic satisfaction is partly due to increased perceptions of career adaptability. Theoretical and practical implications of the results are discussed.

Suggested Citation

  • Pinar Celik & Martin Storme, 2017. "Trait Emotional Intelligence Predicts Academic Satisfaction Through Career Adaptability," Post-Print hal-02117688, HAL.
  • Handle: RePEc:hal:journl:hal-02117688
    DOI: 10.1177/1069072717723290
    as

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    Cited by:

    1. Slavica Mitrović Veljković & Ana Nešić & Branislav Dudić & Michal Gregus & Milan Delić & Maja Meško, 2020. "Emotional Intelligence of Engineering Students as Basis for More Successful Learning Process for Industry 4.0," Mathematics, MDPI, vol. 8(8), pages 1-9, August.
    2. Sakshi Vashisht & Poonam Kaushal & Ravi Vashisht, 2023. "Emotional intelligence, Personality Variables and Career Adaptability: A Systematic Review and Meta-analysis," Vision, , vol. 27(3), pages 316-328, June.

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