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Could Emotional Intelligence Ability Predict Salary? A Cross-Sectional Study in a Multioccupational Sample

Author

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  • Martin Sanchez-Gomez

    (Department of Evolutionary, Educational, Social Psychology and Methodology, Universitat Jaume I, 12071 Castellón de la Plana, Spain)

  • Edgar Breso

    (Department of Evolutionary, Educational, Social Psychology and Methodology, Universitat Jaume I, 12071 Castellón de la Plana, Spain)

  • Gabriele Giorgi

    (Department of Human Sciences, European University of Rome, 00163 Rome, Italy)

Abstract

The study of emotional intelligence (EI) in work environments is a trending topic. However, few studies have examined the relationship between EI and salary. Therefore, the presented research aims to analyze the influence of EI on salary using a multioccupational sample. The participants were 785 subjects aged between 18 and 58 years (M = 39.41; SD = 10.95). EI ability was measured using the Mobile Emotional Intelligence Test (MEIT), while the salary was collected together with other sociodemographic variables in a questionnaire created ad hoc. After controlling for the age, gender, social class, educational level, and work experience variables, the results of correlation and regression analysis showed that participants with higher EI and emotional-repair capacity generally have higher salary. These findings provide preliminary evidence that EI is a relevant variable in achieving career success. The ability to channel and manage emotions could help employees develop stronger interpersonal relationships, leading to higher positions and greater financial compensation.

Suggested Citation

  • Martin Sanchez-Gomez & Edgar Breso & Gabriele Giorgi, 2021. "Could Emotional Intelligence Ability Predict Salary? A Cross-Sectional Study in a Multioccupational Sample," IJERPH, MDPI, vol. 18(3), pages 1-10, February.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:3:p:1322-:d:491313
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    References listed on IDEAS

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    1. Martin Sanchez-Gomez & Edgar Breso, 2019. "The Mobile Emotional Intelligence Test (MEIT): An Ability Test to Assess Emotional Intelligence at Work," Sustainability, MDPI, vol. 11(3), pages 1-17, February.
    2. Jo Blanden & Paul Gregg & Lindsey Macmillan, 2010. "Intergenerational Persistence in Income and Social Class: The Impact of Within-Group Inequality," The Centre for Market and Public Organisation 10/230, The Centre for Market and Public Organisation, University of Bristol, UK.
    3. Kathy J. Hayes & Donna K. Ginther, 1999. "Gender Differences in Salary and Promotion in the Humanities," American Economic Review, American Economic Association, vol. 89(2), pages 397-402, May.
    4. Natalio Extremera & Sergio Mérida-López & Nicolás Sánchez-Álvarez & Cirenia Quintana-Orts, 2018. "How Does Emotional Intelligence Make One Feel Better at Work? The Mediational Role of Work Engagement," IJERPH, MDPI, vol. 15(9), pages 1-13, September.
    5. Nhu Ngoc Nguyen & Phong Tuan Nham & Yoshi Takahashi, 2019. "Relationship between Ability-Based Emotional Intelligence, Cognitive Intelligence, and Job Performance," Sustainability, MDPI, vol. 11(8), pages 1-16, April.
    6. Jo Blanden & Paul Gregg & Lindsey Macmillan, 2013. "Intergenerational persistence in income and social class: the effect of within-group inequality," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(2), pages 541-563, February.
    7. Richard G. McFarland & Joseph C. Rode & Tasadduq A. Shervani, 2016. "A contingency model of emotional intelligence in professional selling," Journal of the Academy of Marketing Science, Springer, vol. 44(1), pages 108-118, January.
    8. Martin Sanchez-Gomez & Edgar Breso, 2020. "In Pursuit of Work Performance: Testing the Contribution of Emotional Intelligence and Burnout," IJERPH, MDPI, vol. 17(15), pages 1-13, July.
    9. Frederico Cruz-Jesus & Tiago Oliveira & Fernando Bacao & Zahir Irani, 2017. "Assessing the pattern between economic and digital development of countries," Information Systems Frontiers, Springer, vol. 19(4), pages 835-854, August.
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    1. Yu Sun & Xintong Ma & Yifeng Liu & Lingquan Meng, 2023. "Salary Satisfaction of Employees at Workplace on a Large Area of Planted Land," Land, MDPI, vol. 12(11), pages 1-24, November.
    2. Ana Junça Silva & Ana Rita Burgette & João Fontes da Costa, 2024. "Toward a Sustainable World: Affective Factors Explain How Emotional Salary Influences Different Performance Indicators," Sustainability, MDPI, vol. 16(5), pages 1-16, March.

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