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A meta‐analysis of emotional intelligence and work attitudes
Open accessAbstract
Our meta‐analysis of emotional intelligence ( EI ) demonstrates that: First, all three types of EI are significantly related to job satisfaction (ability EI : = .08; self‐report EI : = .32; and mixed EI : = .39). Second, both self‐report EI and mixed EI exhibit modest yet statistically significant incremental validity (Δ R 2 = .03 for self‐report EI and Δ R 2 = .06 for mixed EI ) and large relative importance (31.3% for self‐report EI and 42.8% for mixed EI ) in the presence of cognitive ability and personality when predicting job satisfaction. Third, we found mixed support for the moderator effects (i.e., emotional labour demand of jobs) for the relationship between EI and job satisfaction. Fourth, the relationships between all three types of EI and job satisfaction are mediated by state affect and job performance. Fifth, EI significantly relates to organizational commitment (self‐report EI : = .43; mixed EI : = .43) and turnover intentions (self‐report EI : = −.33). Sixth, after controls, both self‐report EI and mixed EI demonstrate incremental validity and relative importance (46.9% for self‐report EI ; 44.2% for mixed EI ) in predicting organizational commitment. Seventh, self‐report EI demonstrates incremental validity and relative importance (60.9%) in predicting turnover intentions. Practitioner points: Employees with higher emotional intelligence (EI) have higher job satisfaction, higher organizational commitment, and lower turnover intentions. Adding EI measures to the set of personality and cognitive measures currently being used can improve the ability to assess employee job satisfaction, organizational commitment, and turnover intentions. EI improves job satisfaction by helping employees reduce negative feelings, by increasing positive feelings, and/or by improving job performance. To produce productive and satisfied workers, organizations should incorporate EI in employee recruitment, training, and development programmes.
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Cites
Development and validation of brief measures of positive and negative affect: The PANAS scales.
Watson, D., Clark, L. A., & Tellegen, A. (1988) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.54.6.1063 · Cited by 32,433
The Job Demands‐Resources model: state of the art
Bakker, A. B., & Demerouti, E. (2007) · Journal of Managerial Psychology · doi:10.1108/02683940710733115 · Cited by 12,996
Subjective well-being: Three decades of progress.
Diener, E., Suh, E. M., Lucas, R. E., & Smith, H. L. (1999) · Psychological Bulletin · doi:10.1037/0033-2909.125.2.276 · Cited by 12,910
Building a practically useful theory of goal setting and task motivation: A 35-year odyssey.
Locke, E. A., & Latham, G. P. (2002) · American Psychologist · doi:10.1037/0003-066x.57.9.705 · Cited by 7,766 · cited 5×
“Whenhigh job performance helps employeesmeet their personal goals, it should increase job satisfaction (Locke, 1969; Locke & Latham, 2002) and organizational commitment and thereby reduce turnover intentions.”
BackgroundInfluentialThe job satisfaction–job performance relationship: A qualitative and quantitative review.
Judge, T. A., Thoresen, C. J., Bono, J. E., & Patton, G. K. (2001) · Psychological Bulletin · doi:10.1037/0033-2909.127.3.376 · Cited by 4,760
Development and validation of a measure of emotional intelligence
Schutte, N. S., Malouff, J. M., Hall, L. E., Haggerty, D. J., Cooper, J. T., Golden, C. J., & Dornheim, L. (1998) · Personality and Individual Differences · doi:10.1016/s0191-8869(98)00001-4 · Cited by 3,856
Hunter, J., & Schmidt, F. (2004) · doi:10.4135/9781412985031 · Cited by 3,023
Self-perception: An alternative interpretation of cognitive dissonance phenomena.
Bem, D. J. (1967) · Psychological Review · doi:10.1037/h0024835 · Cited by 2,959
Colquitt, J. A., Scott, B. A., & LePine, J. A. (2007) · Journal of Applied Psychology · doi:10.1037/0021-9010.92.4.909 · Cited by 2,606
Human abilities: emotional intelligence
Mayer, J. D., Roberts, R. D., & Barsade, S. G. (2008) · Annual Review of Psychology · doi:10.1146/annurev.psych.59.103006.093646 · Cited by 2,170
Research works printed but not linked: 76
- 10.1348/096317905X26174 · DOI
- 10.5465/AMR.1993.3997508 · DOI · Paper page
- 10.1177/001872679504800201 · DOI
- 10.5465/AME.2002.6640191 · DOI · Paper page
- 10.1002/job.320 · DOI · Paper page
- 10.1177/1754073910391684 · DOI · Paper page
- Bar‐On R., 2000, The handbook of emotional intelligence: Theory, development, assessment, and application at home, school, and in the workplace, 363
- 10.1002/job.778 · DOI
- 10.1177/109442802237116 · DOI · Paper page
- 10.1177/1548051810369676 · DOI
- 10.1177/0149206308318621 · DOI
- 10.1348/096317907X174349 · DOI
- 10.1146/annurev‐orgpsych‐031413‐091233 · DOI
- 10.2189/asqu.51.1.1 · DOI · Paper page
- 10.1037/a0019364 · DOI
- 10.1007/s10551‐013‐1902‐0 · DOI
- 10.5465/amj.2011.0687 · DOI
- 10.1002/(SICI)1099‐1379(200003)21:2<185::AID‐JOB34>3.0.CO;2‐M · DOI
- 10.1002/(SICI)1099‐1379(200003)21:2<203::AID‐JOB38>3.0.CO;2‐Z · DOI
- 10.2307/256940 · DOI
- Goleman D., 1995, Emotional intelligence: Why it can matter more than IQ
- Gonzalez‐Mulé E. Carter K. &Mount M. K.(2014).Is ignorance really bliss? A meta‐analysis of the relationship between general mental ability and attitudes. Working Paper. · DOI
- 10.1111/joop.12053 · DOI
- 10.1037/1076‐8998.5.1.95 · DOI
- 10.1111/1464‐0597.00062 · DOI · Paper page
- Hochschild A. R., 1983, The managed heart: Commercialization of human feelings
- 10.1037/a0022876 · DOI · Paper page
- 10.1016/S1048‐9843(02)00140‐6 · DOI · Paper page
- Humphrey R. H., 2013, Effective leadership: Theory, cases, and applications
- 10.1002/job.2019 · DOI
- Hunter J. E., 1990, Methods of meta‐analysis: Correcting error and bias in research findings
- 10.1207/S15327906MBR3501_1 · DOI · Paper page
- 10.1016/j.leaqua.2009.06.012 · DOI
- 10.1177/1094428104266510 · DOI · Paper page
- 10.1037/1076‐8998.12.4.319 · DOI · Paper page
- 10.1016/S1053‐4822(02)00046‐3 · DOI · Paper page
- 10.1108/01437731111123915 · DOI
- 10.4337/9781848443778.00017 · DOI
- 10.1146/annurev‐psych‐120710‐100511 · DOI
- 10.1016/j.paid.2007.10.004 · DOI
- 10.5964/ejop.v5i4.238 · DOI
- Kline R. B., 2011, Principles and practice of structural equation modeling
- 10.1177/0149206311407326 · DOI
- 10.1016/j.paid.2012.08.028 · DOI
- Lipsey M. W., 2001, Practical meta‐analysis
- 10.1016/0030‐5073(69)90013‐0 · DOI · Paper page
- Locke E. A., 1976, Handbook of industrial and organizational psychology, 1297
- 10.1016/0030‐5073(70)90011‐5 · DOI · Paper page
- 10.1348/096317905X39657 · DOI · Paper page
- Mayer J. D., 1997, Emotional development and emotional intelligence: Educational implications, 3
- 10.1037/1528‐3542.3.1.97 · DOI · Paper page
- 10.2307/3069391 · DOI · Paper page
- 10.1016/S0191‐3085(01)23006‐8 · DOI · Paper page
- 10.1177/0149206309350085 · DOI
- 10.1007/978-0-387-88370-0_5 · DOI
- Petrides K. V., 2009, Technical manual for the Trait Emotional Intelligence Questionnaire (TEIQue)
- 10.1002/per.466 · DOI · Paper page
- 10.1037/12171-004 · DOI
- Schwab D. P., 2005, Research methods for organizational studies
- 10.1016/j.paid.2003.09.001 · DOI
- 10.2307/2392766 · DOI · Paper page
- 10.1016/j.jvb.2005.10.003 · DOI · Paper page
- 10.1037/0021‐9010.88.3.500 · DOI · Paper page
- 10.1006/jrpe.2000.2292 · DOI · Paper page
- 10.1037/0033‐2909.129.6.914 · DOI · Paper page
- 10.1016/S0001‐8791(03)00076‐9 · DOI · Paper page
- 10.1177/0149206309342468 · DOI
- 10.5465/AMP.2011.59198449 · DOI · Paper page
- 10.1108/S1746‐9791(2011)0000007006 · doi:10.1108/s1746-9791(2011)0000007006
- Watson D., 2000, Mood and temperament
- 10.1016/S1053‐4822(02)00045‐1 · DOI
- Weiss H. M., 1996, Research in organizational behavior, 1
- 10.1006/obhd.1999.2824 · DOI · Paper page
- 10.1037/0021‐9010.75.3.315 · DOI · Paper page
- 10.1348/2044‐8325.002001 · DOI
- 10.1016/S1048‐9843(02)00099‐1 · DOI · Paper page
Cited by
Emotional intelligence and teacher burnout: A systematic review
Mérida-López, S., & Extremera, N. (2017) · International Journal of Educational Research · doi:10.1016/j.ijer.2017.07.006 · Cited by 328
Miao, C., Humphrey, R. H., & Qian, S. (2018) · Journal of World Business · doi:10.1016/j.jwb.2018.01.003 · Cited by 201
Self-citationBreast Cancer and Resilience: The Controversial Role of Perceived Emotional Intelligence
Guil, R., Ruiz-González, P., Merchán-Clavellino, A., Morales-Sánchez, L., Zayas, A., & Gómez-Molinero, R. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.595713 · Cited by 37
Sharma, S., & Tiwari, V. (2024) · Vision: The Journal of Business Perspective · doi:10.1177/09722629221132122 · Cited by 27
Mérida-López, S., Extremera, N., & Rey, L. (2018) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2018.00184 · Cited by 24
Aritzeta, A., Mindeguia, R., Soroa, G., Balluerka, N., Gorostiaga, A., Elorza, U., & Aliri, J. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.00893 · Cited by 21
Metadata
- Authors
- Miao, C., Humphrey, R. H., & Qian, S.
- Venue
- Journal of Occupational and Organizational Psychology
- Publisher
- Wiley
- Published
- 2016-12-30
- Volume
- 90
- Issue
- 2
- Pages
- 177-202
- ISSN
- 0963-1798 (ISSN-L)
- 2044-8325
- OpenAlex
- W2562451230
- Cited by
- 444
- References
- 21
- FWCI
- 33.62
- Type
- journal article
- Language
- en
- Open access
- green
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