IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-04964897.html
   My bibliography  Save this paper

Ability emotional intelligence profiles and real-life outcomes : a latent profile analysis of a large adult sample

Author

Listed:
  • Christophe Haag

    (EM - EMLyon Business School)

  • Lisa Bellinghausen
  • Clément Poirier

    (LaPEA - UMR_T 7708 - Laboratoire de Psychologie et d’Ergonomie Appliquées - UPCité - Université Paris Cité - Université Gustave Eiffel)

Abstract

Few studies have examined emotional intelligence (EI) following a person-centered approach to identify different types of EI profiles and their relationship to everyday life outcomes. Even rarer are those using an "ability" approach of EI (AEI) and related "performance-based" tests, which are considered promising. This study fills this gap by identifying AEI profiles and linking them to everyday outcomes such as health, wellbeing, and decision-making. The QEg ("QE" for Emotional Quotient - Quotient Emotional in French - and "g" for the general population), an ability-based measure of EI, along with other measures, was administered to 2,877 French adults. We then ran latent profile analysis (LPA) and identified three latent profiles within a heterogeneous population. The full emotion processing (FEP) profile outperforms the two others on key domains of life such as stress perception, home-work interaction, gratitude and satisfaction with life, emotional burnout prevention, and decision-making. Our research reveals the need for individualized AEI training programs tailored to three distinct profiles, addressing foundational skills for those with minimal or partial emotional processing while refining existing strengths for those with full emotional processing. Targeting interventions to specific profile characteristics could enhance the effectiveness of AEI training and promote improved wellbeing and life outcomes.

Suggested Citation

  • Christophe Haag & Lisa Bellinghausen & Clément Poirier, 2025. "Ability emotional intelligence profiles and real-life outcomes : a latent profile analysis of a large adult sample," Post-Print hal-04964897, HAL.
  • Handle: RePEc:hal:journl:hal-04964897
    DOI: 10.3389/fpsyg.2025.1465774
    Note: View the original document on HAL open archive server: https://hal.science/hal-04964897v1
    as

    Download full text from publisher

    File URL: https://hal.science/hal-04964897v1/document
    Download Restriction: no

    File URL: https://libkey.io/10.3389/fpsyg.2025.1465774?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-04964897. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.