All Resources Lead to Rome: A Multi-Study Investigation on the Complementary Association of Core Self-Evaluations and Emotional Intelligence on Well-Being

Abstract

This multi-study investigation examined what magnitude of personal resources people need to flourish in their personal life and at work. We specifically looked at the interplay between emotional intelligence (EI) and core self-evaluations (CSE) in relation to flourishing, happiness, and work engagement. Guided by job demands-resources theory, this investigation was conducted through two separate studies (N_s1 = 391; N_s2 = 703) using path analysis with Spanish employees. Study 1 revealed that EI moderated the positive relationship between CSE and flourishing and work engagement so that this relationship was weaker among employees high (vs. low) in EI. Study 2 replicated this pattern for the relationships with happiness and work engagement. Facet-level analyses revealed that use of emotions was driving the moderation on flourishing in Study 1, whereas other-emotion appraisal was driving the moderation on work engagement in Study 2. Overall, these findings suggest that individuals low in CSE might benefit from higher levels of EI to enhance their flourishing. Implications for improving well-being through the development of personal resources are discussed.

Keywords

Core self-evaluations emotional intelligence happiness flourishing work engagement

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References

Anastasiou

Belios

(2020). Effect of age on job satisfaction and emotional exhaustion of primary school teachers in Greece. European Journal of Investigation in Health Psychology and Education, 10(2), 644–655. https://doi.org/10.3390/ejihpe10020047

Ashkanasy

N. M.

Daus

C. S.

(2005). Rumors of the death of emotional intelligence in organizational behavior are vastly exaggerated. Journal of Organizational Behavior, 26(4), 441–452. https://doi.org/10.1002/job.320

Bakker

A. B.

Demerouti

Sanz-Vergel

(2023). Job demands–resources theory: Ten years later. Annual Review of Organizational Psychology and Organizational Behavior, 10(1), 1–29. https://doi.org/10.1146/annurev-orgpsych-120920-053933

Beléndez

Gómez

López

Topa

(2018). Psychometric properties of the Spanish version of the Core Self-Evaluations Scale (CSES-SP). Personality and Individual Differences, 122, 195–197. https://doi.org/10.1016/j.paid.2017.10.034

Bentler

P. M.

(1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238–246. https://doi.org/10.1037/0033-2909.107.2.238

Bipp

Kleingeld

Ebert

(2019). Core self-evaluations as a personal resource at work for motivation and health. Personality and Individual Differences, 151, 109556. https://doi.org/10.1016/j.paid.2019.109556

Brenninkmeijer

Demerouti

le Blanc

P. M.

van Emmerik

I. J. H.

(2010). Regulatory focus at work: The moderating role of regulatory focus in the job demands-resources model. Career Development International, 15(7), 708–728. https://doi.org/10.1108/13620431011094096

Browne

M. W.

Cudeck

(1993). Alternative ways of assessing model fit. In Bollen

K. A.

Long

J. S.

(Eds.), Testing structural equation models (pp. 136–162). Sage.

Chang

C. H.

Ferris

D. L.

Johnson

R. E.

Rosen

C. C.

Tan

J. A.

(2012). Core self-evaluations: A review and evaluation of the literature. Journal of Management, 38(1), 81–128. https://doi.org/10.1177/0149206311419661

10.

Chang

E. C.

E. A.

Hirsch

J. K.

(2013). On the confluence of optimism and hope on depressive symptoms in primary care patients: Does doubling up on bonum futurun proffer any added benefits? The Journal of Positive Psychology, 8(5), 404–411. https://doi.org/10.1080/17439760.2013.818163

11.

Cohen

(1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum Associates.

12.

Côté

(2014). Emotional intelligence in organizations. Annual Review of Organizational Psychology and Organizational Behavior, 1, 459–488. https://doi.org/10.1146/annurev-orgpsych-031413-091233

13.

Côté

Miners

C. T. H.

(2006). Emotional intelligence, cognitive intelligence, and job performance. Administrative Science Quarterly, 51(1), 1–28. https://doi.org/10.2189/asqu.51.1.1

14.

Dawson

J. F.

(2014). Moderation in management research: What, why, when, and how. Journal of Business and Psychology, 29(1), 1–19. https://doi.org/10.1007/s10869-013-9308-7

15.

Demerouti

Bakker

A. B.

(2022). Job demands-resources theory in times of crises: New propositions. Organizational Psychology Review, 13(3), 209–236. https://doi.org/10.1177/20413866221135022

16.

De Stasio

Fiorilli

Benevene

Boldrini

Ragni

Pepe

Briegas

J. J. M.

(2019). Subjective happiness and compassion are enough to increase teachers’ work engagement? Frontiers in Psychology, 10, 2268. https://doi.org/10.3389/fpsyg.2019.02268

17.

Diener

Wirtz

Tov

Kim-Prieto

Choi

Oishi

Biswas-Diener

(2010). New well-being measures: Short scales to assess flourishing and positive and negative feelings. Social Indicators Research, 97(2), 143–156. https://doi.org/10.1007/s11205-009-9493-y

18.

Extremera

Fernández-Berrocal

(2014). The Subjective Happiness Scale: Translation and preliminary psychometric evaluation of a Spanish version. Social Indicators Research, 119(1), 473–481. https://doi.org/10.1007/s11205-013-0497-2

19.

Extremera

Rey

Sánchez-Álvarez

(2019). Validation of the Spanish version of Wong Law emotional intelligence scale (WLEIS-S). Psicothema, 31(1), 94–100. https://doi.org/10.7334/psicothema2018.147

20.

Extremera

Sánchez-García

Durán

M. A.

Rey

(2012). Examining the psychometric properties of the Utrecht Work Engagement Scale in two Spanish multi-occupational samples. International Journal of Selection and Assessment, 20(1), 105–110. https://doi.org/10.1111/j.1468-2389.2012.00583.x

21.

Finney

S. J.

DiStefano

(2006). Nonnormal and categorical data in structural equation models. In Hancock

G. R.

Mueller

R. O.

(Eds.), Structural equation modeling: A second course (pp. 269–314). Information Age Publishing.

22.

Fisher

C. D.

(2010). Happiness at work. International Journal of Management Reviews, 12(4), 384–412. https://doi.org/10.1111/j.1468-2370.2009.00270.x

23.

Hair

J. F.

Black

W. C.

Babin

B. J.

Anderson

R. E.

(2019). Multivariate data analysis (8th ed.). Cengage.

24.

Hentrich

Zimber

Sosnowsky-Waschek

Gregersen

Petermann

(2017). The role of core self-evaluations in explaining depression and work engagement among managers. Current Psychology, 36(3), 516–529. https://doi.org/10.1007/s12144-016-9439-x

25.

Bentler

P. M.

(1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118

26.

Judge

T. A.

Erez

Bono

J. E.

Thoresen

C. J.

(2003). The core self-evaluations scale: Development of a measure. Personnel Psychology, 56(2), 303–331. https://doi.org/10.1111/j.1744-6570.2003.tb00152.x

27.

Keyes

C. L. M.

(2007). Promoting and protecting mental health as flourishing: A complementary strategy for improving national mental health. American Psychologist, 62(2), 95–108. https://doi.org/10.1037/0003-066X.62.2.95

28.

Kline

R. B.

(2015). Principles and practice of structural equation modeling (4th ed.). The Guilford Press.

29.

Kotsou

Mikolajczak

Heeren

Grégoire

Leys

(2019). Improving emotional intelligence: A systematic review of existing work and future challenges. Emotion Review, 11(2), 151–165. https://doi.org/10.1177/1754073917735902

30.

Kurtz

J. L.

Lyubomksky

(2008). Toward a durable happiness. In Lopez

S. J.

(Ed.), Positive psychology: Exploring the best in people, vol. 4. Pursuing human flourishing (pp. 21–36). Praeger Publishers/Greenwood Publishing Group.

31.

Lakens

(2022). Sample size justification. Collabra: Psychology, 8(1), 33267. https://doi.org/10.1525/collabra.33267

32.

Lyubomirsky

King

Diener

(2005). The benefits of frequent positive affect: Does happiness lead to success? Psychological Bulletin, 131(6), 803–855. https://doi.org/10.1037/0033-2909.131.6.803

33.

Lyubomirsky

Lepper

H. S.

(1999). A measure of subjective happiness: Preliminary reliability and construct validation. Social Indicators Research, 46(2), 137–155. https://doi.org/10.1023/A:1006824100041

34.

Maslach

Jackson

S. E.

Leiter

M. P.

(1996). Maslach Burnout inventory (3rd ed.). Consulting Psychologist Press.

35.

Mayer

J. D.

Caruso

D. R.

Salovey

(2016). The ability model of emotional intelligence: Principles and updates. Emotion Review, 8(4), 290–300. https://doi.org/10.1177/1754073916639667

36.

Mazzetti

Robledo

Vignoli

Topa

Guglielmi

Schaufeli

W. B.

(2023). Work engagement: A meta-analysis using the job demands-resources model. Psychological Reports, 126(3), 1069–1107. https://doi.org/10.1177/00332941211051988

37.

Mérida-López

Extremera

Sánchez-Álvarez

(2020). The interactive effects of personal resources on teachers’ work engagement and withdrawal intentions: A structural equation modeling approach. International Journal of Environmental Research and Public Health, 17(7), 2170. https://doi.org/10.3390/ijerph17072170

38.

Miao

Humphrey

R. H.

Qian

(2017). A meta-analysis of emotional intelligence and work attitudes. Journal of Occupational and Organizational Psychology, 90(2), 177–202. https://doi.org/10.1111/joop.12167

39.

Moncada

Utzet

Molinero

Llorens

Moreno

Galtés

Navarro

(2014). The Copenhagen psychosocial questionnaire II (COPSOQ II) in Spain-A tool for psychosocial risk assessment at the workplace. American Journal of Industrial Medicine, 57(1), 97–107. https://doi.org/10.1002/ajim.22238

40.

T. W.

Feldman

D. C.

(2008). The relationship of age to ten dimensions of job performance. Journal of Applied Psychology, 93(2), 392–423. https://doi.org/10.1037/0021-9010.93.2.392

41.

Pejtersen

J. H.

Kristensen

T. S.

Borg

Bjorner

J. B.

(2010). The second version of the Copenhagen Psychosocial Questionnaire. Scandinavian Journal of Public Health, 38(3), 8–24. https://doi.org/10.1177/1403494809349858

42.

Pekaar

K. A.

Bakker

A. B.

van der Linden

Born

M. P.

(2020). The impact of emotional intelligence on daily work life. In Burke

Pignata

(Eds.), Handbook of research on stress and well-being in the public sector (pp. 122–136). Edward Elgar Publishing. https://doi.org/10.4337/9781788970358

43.

Pekaar

K. A.

van der Linden

Bakker

A. B.

Born

M. P.

(2017). Emotional intelligence and job performance: The role of enactment and focus on others’ emotions. Human Performance, 30(2–3), 135–153. https://doi.org/10.1080/08959285.2017.1332630

44.

Peláez-Fernández

M. A.

Rey

Extremera

(2019). Psychological distress among the unemployed: Do core self-evaluations and emotional intelligence help to minimize the psychological costs of unemployment? Journal of Affective Disorders, 256, 627–632. https://doi.org/10.1016/j.jad.2019.06.042

45.

Persson

Österberg

Garde

A. H.

Hansen

Å. M.

Karlson

(2021). Work-life balance, job demands and control, and exhaustion in a sample of Swedish women and men. BMC Public Health, 21, 1036. https://doi.org/10.1186/s12889-021-10317-7

46.

Ramírez-Maestre

Correa

Rivas

López-Martínez

A. E.

Serrano-Ibáñez

E. R.

Esteve

(2017). Psychometric characteristics of the Flourishing Scale-Spanish Version (FS-SV). The factorial structure in two samples: Students and patients with chronic pain. Personality and Individual Differences, 117, 30–36. https://doi.org/10.1016/j.paid.2017.05.035

47.

Sánchez-Álvarez

Extremera

Fernández-Berrocal

(2016). The relation between emotional intelligence and subjective well-being: A meta-analytic investigation. The Journal of Positive Psychology, 11(3), 276–285. https://doi.org/10.1080/17439760.2015.1058968

48.

Satorra

Bentler

P. M.

(1994). Corrections to test statistics and standard errors in covariance structure analysis. In von Eye

Clogg

(Eds.), Latent variables analysis: Applications for developmental research (pp. 399–419). Sage.

49.

Schaufeli

W. B.

Bakker

A. B.

(2004). Job demands, job resources, and their relationship with burnout and engagement: A multi-sample study. Journal of Organizational Behavior, 25(3), 293–315. https://doi.org/10.1002/job.248

50.

Schaufeli

W. B.

Salanova

González-Romá

Bakker

A. B.

(2002). The measurement of engagement and burnout: A two sample confirmatory factor analytic approach. Journal of Happiness Studies, 3(1), 71–92. https://doi.org/10.1023/A:1015630930326

51.

Seisdedos

(1997). Inventario “Burnout” de Maslach. TEA Ediciones.

52.

Spector

P. E.

(2019). Do not cross me: Optimizing the use of cross-sectional designs. Journal of Business and Psychology, 34(2), 125–137. https://doi.org/10.1007/s10869-018-09613-8

53.

Sun

Wang

Kong

(2014). Core self-evaluations as mediator and moderator of the relationship between emotional intelligence and life satisfaction. Social Indicators Research, 118(1), 173–180. https://doi.org/10.1007/s11205-013-0413-9

54.

Tims

Akkermans

(2017). Core self-evaluations and work engagement: Testing a perception, action, and development path. PLoS One, 12(8), Article e0182745. https://doi.org/10.1371/journal.pone.0182745

55.

Ullman

J. B.

(2006). Structural equation modeling. In Tabachnick

B. G.

Fidell

L. S.

(Eds.), Using multivariate statistics (5th ed., pp. 653–771). Allyn & Bacon.

56.

Wheeler

A. R.

Shanine

K. K.

Leon

M. R.

Whitman

M. V.

(2014). Student-recruited samples in organizational research: A review, analysis, and guidelines for future research. Journal of Occupational and Organizational Psychology, 87(1), 1–26. https://doi.org/10.1111/joop.12042

57.

Wong

C.-S.

Law

K. S.

(2002). The effects of leader and follower emotional intelligence on performance and attitude. The Leadership Quarterly, 13(3), 243–274. https://doi.org/10.1016/S1048-9843(02)00099-1

58.

Zeidner

Matthews

Roberts

R. D.

(2012). The emotional intelligence, health, and well-being nexus: What have we learned and what have we missed? Applied Psychology. Health and Well-Being, 4(1), 1–30. https://doi.org/10.1111/j.1758-0854.2011.01062.x