Uniwersyteckie Czasopisma NaukoweInfluence of personality and emotional competences on academic performance: direct and indirect pathways mediated by perceived stress
Słowa kluczowe:
GPA, emotional intelligence, academic success, Big 5, university studentAbstrakt
Background
Among the factors influencing academic performance (AP), individual differences at the trait level such as personality and emotional competences (EC) have been found to play a critical role, similarly to state variables such as perceived stress (PS).
Participants and procedure
The aim of this study was to clarify whether the influence of personality (Big Five) and EC on AP (general point average) is direct and/or mediated via PS. 537 undergraduate students from a French university (112 male and 425 female, Mage = 19.84 years, SDage = 1.74 years, range = 18-30 years; first year: n = 293, 55%; second year: n = 162, 30%, third year: n = 82, 15%) filled out the test battery around three weeks before the final examination.
Results
Path analysis showed that AP was directly predicted by conscientiousness (+), neuroticism (+), extraversion (–) and perceived stress (–), while perceived stress was predicted by neuroticism (+) and by intrapersonal EC (–).
Conclusions
The results illustrate the robust influence of conscientiousness on AP, while EC was not found to influence AP directly, but indirectly via its effect on PS.
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Bibliografia
Amanvermez, Y., Rahmadiana, M., Karyotaki, E., de Wit, L., Ebert, D. D., Kessler, R. C., & Cuijpers, P. (2020). Stress management interventions for college students: a systematic review and metaanalysis. Clinical Psychology: Science and Practice. https://doi.org/10.1111/cpsp.12342.
Bar-On, R. (2002). Bar-On Emotional Quotient Inventory: Short. Technical manual. Multi-Health Systems.
Bellinghausen, L., Collange, J., Botella, M., Emery, J.-L., & Albert, É. (2009). Validation factorielle de l’échelle française de stress perçu en milieu professionnel [Factorial validation of the French Scale for Perceived Stress in the Workplace]. Santé Publique, 21, 365–373. https://doi.org/10.3917/ spub.094.0365.
Bidjerano, T., & Dai, D. Y. (2007). The relationship between the Big-Five model of personality and selfregulated learning strategies. Learning and Individual Differences, 17, 69–81. https://doi.org/10.1016/j. lindif.2007.02.001.
Brasseur, S., Grégoire, J., Bourdu, R., & Mikolajczak, M. (2013). The Profile of Emotional Competence (PEC): Development and validation of a self-reported measure that fits dimensions of emotional competence theory. PLoS One, 8, 1–8. https://doi.org/10.1371/journal.pone.0062635.
Chamorro-Premuzic, T., & Furnham, A. (2014). Personality and intellectual competence. Taylor & Francis.
Cohen, S., Kamarck, T., & Mermelstein, R. (1983). A global measure of perceived stress. Journal of Health and Social Behavior, 24, 385–396. https://doi. org/10.2307/2136404.
De Raad, B., & Schouwenburg, H. C. (1996). Personality in learning and education: a review. European Journal of Personality, 10, 303–336. https://doi.org/10.1002/(sici)1099-0984(199612).
Di Fabio, A., & Palazzeschi, L. (2009). An in-depth look at scholastic success: Fluid intelligence, personality traits or emotional intelligence? Personality and Individual Differences, 46, 581–585. https:// doi.org/10.1016/j.paid.2008.12.012.
Di Fabio, A., & Palazzeschi, L. (2015). Beyond fluid intelligence and personality traits in scholastic success: Trait emotional intelligence. Learning and Individual Differences, 40, 121–126. https://doi. org/10.1016/j.lindif.2015.04.001.
Downey, L. A., Lomas, J., Billings, C., Hansen, K., & Stough, C. (2013). Scholastic success. Canadian Journal of School Psychology, 29, 40–53. https://doi. org/10.1177/0829573513505411.
Droppert, K., Downey, L., Lomas, J., Bunnett, E. R., Simmons, N., Wheaton, A., Nield, C., & Stough, C. (2019). Differentiating the contributions of emotional intelligence and resilience on adolescent male scholastic performance. Personality and Individual Differences, 145, 75–81. https://doi.org/ 10.1016/j.paid.2019.03.023.
Duchesne, S., & Larose, S. (2018). Academic competence and achievement goals: Self-pressure and disruptive behaviors as mediators. Learning and Individual Differences, 68, 41–50. https://doi.org/ 10.1016/j.lindif.2018.09.008.
Frazier, P., Gabriel, A., Merians, A., & Lust, K. (2019). Understanding stress as an impediment to academic performance. Journal of American College Health, 67, 562–570. https://doi.org/10.1080/07448 481.2018.1499649.
Fritz, M. S., & Mackinnon, D. P. (2007). Required sample size to detect the mediated effect. Psychological Science, 18, 233–239. https://doi.org/10.1111/j.1467- 9280.2007.01882.x.
Gallagher, D. J. (1990). Extraversion, neuroticism and appraisal of stressful academic events. Personality and Individual Differences, 11, 1053–1057. https:// doi.org/10.1016/0191-8869(90)90133-c.
Gatzka, T., & Hell, B. (2018). Openness and postsecondary academic performance: a meta-analysis of facet-, aspect-, and dimension-level correlations. Journal of Educational Psychology, 110, 355–377. https://doi.org/10.1037/edu0000194.
Gustems-Carnicer, J., Calderón, C., & Calderón-Garrido, D. (2019). Stress, coping strategies and academic achievement in teacher education students. European Journal of Teacher Education, 42, 375–390. https://doi.org/10.1080/02619768.2019.1576629.
Hammer, L. B., Grigsby, T. D., & Woods, S. (2010). The conflicting demands of work, family, and school among students at an urban university. The Journal of Psychology, 132, 220–226. https://doi. org/10.1080/00223989809599161.
Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55. https://doi.org/ 10.1080/10705519909540118.
Jöreskog, K. G. (1993). Testing structural equation models. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 294–316). Sage.
Kassarnig, V., Mones, E., Bjerre-Nielsen, A., Sapiezynski, P., Dreyer Lassen, D., & Lehmann, S. (2018). Academic performance and behavioral patterns. EPJ Data Science, 7, 10. https://doi.org/10.1140/ epjds/s13688-018-0138-8.
Kausar, R. (2010). Perceived stress, academic workloads and use of coping strategies by university students. Journal of Behavioral Sciences, 20, 31–45.
Kilby, C. J., Sherman, K. A., & Wuthrich, V. (2018). Towards understanding interindividual differences in stressor appraisals: a systematic review. Personality and Individual Differences, 135, 92–100. https://doi.org/10.1016/j.paid.2018.07.001.
Kim, S., Fernandez, S., & Terrier, L. (2017). Procrastination, personality traits, and academic performance: When active and passive procrastination tell a different story. Personality and Individual Differences, 108, 154–157. https://doi.org/10.1016/j. paid.2016.12.021.
Laborde, S., & Allen, M. S. (2016). Comment: Measurement and the interpretation of trait EI research. Emotion Review, 8, 342–343. https://doi.org/ 10.1177/1754073916650498.
Laborde, S., Dosseville, F., & Scelles, N. (2010). Trait emotional intelligence and preference for intuition and deliberation: Respective influence on academic performance. Personality and Individual Differences, 49, 784–788. https://doi.org/10.1016/j. paid.2010.06.031.
Lazarus, R. S., & Folkman, S. (1984). Stress, appraisal and coping. Springer.
Mancini, G., Andrei, F., Mazzoni, E., Biolcati, R., Baldaro, B., & Trombini, E. (2017). Brief report: Trait emotional intelligence, peer nominations, and scholastic achievement in adolescence. Journal of Adolescence, 59, 129–133. https://doi.org/10.1016/j. adolescence.2017.05.020.
McCrae, R. R., & Costa, P. T. (2008). The five-factor theory of personality. In O. P. John, R. W. Robins, & L. A. Pervin (Eds.), Handbook of personality: Theory and research (3rd ed., pp. 159–181). Guilford Press.
Meyer, J., Fleckenstein, J., Retelsdorf, J., & Köller, O. (2019). The relationship of personality traits and different measures of domain-specific achievement in upper secondary education. Learning and Individual Differences, 69, 45–59. https://doi.org/ 10.1016/j.lindif.2018.11.005.
Miller, J. D., Lynam, D., & Leukefeld, C. (2003). Examining antisocial behavior through the lens of the five factor model of personality. Aggressive Behavior, 29, 497–514. https://doi.org/10.1002/ab.10064.
Misra, R., & McKean, M. (2000). College students’ academic stress and its relation to their anxiety, time management, and leisure satisfaction. American Journal of Health Studies, 16, 41–51.
Ohtani, K., & Hisasaka, T. (2018). Beyond intelligence: a meta-analytic review of the relationship among metacognition, intelligence, and academic performance. Metacognition and Learning, 13, 1–34. https://doi.org/10.1007/s11409-018-9183-8.
Ost, L. G. (2008). Efficacy of the third wave of behavioral therapies: a systematic review and metaanalysis. Behaviour Research and Therapy, 46, 296– 321. https://doi.org/10.1016/j.brat.2007.12.005.
Park, Y., Seo, D. G., Park, J., Kim, B., & Choi, J. (2019). The influence of behavioral and emotional characteristics on academic achievement of middle school students: a growth modeling approach. School Psychology International, 40, 433–455. https://doi. org/10.1177/0143034319853010.
Perera, H. N. (2016). The role of trait emotional intelligence in academic performance: Theoretical overview and empirical update. The Journal of Psychology, 150, 229–251. https://doi.org/10.1080/0022 3980.2015.1079161.
Perera, H. N., & DiGiacomo, M. (2013). The relationship of trait emotional intelligence with academic performance: a meta-analytic review. Learning and Individual Differences, 28, 20–33. https://doi. org/10.1016/j.lindif.2013.08.002.
Plaisant, O., Courtois, R., Réveillère, C., Mendelsohn, G. A. A., John, O. P. P., & Guertault, J. (2010). Validation par analyse factorielle du Big Five Inventory français (BFI-Fr). Analyse convergente avec le NEO-PI-R [Factor structure and internal reliability of the French Big Five Inventory (BFI-Fr). Convergent and discriminant validation with the NEO-PI-R]. Annales Médico-psychologiques, revue psychiatrique, 168, 97–106. https://doi.org/10.1016/j. amp.2009.09.003.
Poropat, A. E. (2009). A meta-analysis of the fivefactor model of personality and academic performance. Psychological Bulletin, 135, 322–338. https:// doi.org/10.1037/a0014996.
Rosander, P., Bäckström, M., & Stenberg, G. (2011). Personality traits and general intelligence as predictors of academic performance: a structural equation modelling approach. Learning and Individual Differences, 21, 590–596. https://doi.org/10.1016/j. lindif.2011.04.004.
Saklofske, D. H., Austin, E. J., Mastoras, S. M., Beaton, L., & Osborne, S. E. (2012). Relationships of personality, affect, emotional intelligence and coping with student stress and academic success: Different patterns of association for stress and success. Learning and Individual Differences, 22, 251–257. https://doi.org/10.1016/j.lindif.2011.02.010.
Schmidt, L. I., Sieverding, M., Scheiter, F., & Obergfell, J. (2013). Predicting and explaining students’ stress with the demand-control model: Does neuroticism also matter? Educational Psychology, 35, 449–465. https://doi.org/10.1080/01443410.2013.85 7010.
Shaw, S. R., Gomes, P., Polotskaia, A., & Jankowska, A. M. (2015). The relationship between student health and academic performance: Implications for school psychologists. School Psychology International, 36, 115–134. https://doi.org/10.1177/0143034314565425.
Siegling, A. B., Vesely, A. K., Petrides, K. V., & Saklofske, D. H. (2015). Incremental validity of the Trait Emotional Intelligence Questionnaire-Short Form (TEIQue-SF). Journal of Personality Assessment, 97, 525–535. https://doi.org/10.1080/00223891.2015.101 3219.
Stajkovic, A. D., Bandura, A., Locke, E. A., Lee, D., & Sergent, K. (2018). Test of three conceptual models of influence of the Big Five personality traits and self-efficacy on academic performance: a meta-analytic path-analysis. Personality and Individual Differences, 120, 238–245. https://doi.org/10.1016/j. paid.2017.08.014.
Tetzner, J., Becker, M., & Brandt, N. D. (2020). Personality-achievement associations in adolescenceexamining associations across grade levels and learning environments. Journal of Personality, 88, 356–372. https://doi.org/10.1111/jopy.12495.
Thomas, C. L., Cassady, J. C., & Heller, M. L. (2017). The influence of emotional intelligence, cognitive test anxiety, and coping strategies on undergraduate academic performance. Learning and Individual Differences, 55, 40–48. https://doi.org/10.1016/j. lindif.2017.03.001.
Vedel, A. (2014). The Big Five and tertiary academic performance: a systematic review and meta-analysis. Personality and Individual Differences, 71, 66–76. https://doi.org/10.1016/j.paid.2014.07.011.
Wan, T. Y., Chapman, D. W., & Biggs, D. A. (1992). Academic stress of international students attending U.S. universities. Research in Higher Education, 33, 607–623. https://doi.org/10.1007/bf00973761.
Watson, J. C., & Watson, A. A. (2016). Coping self-efficacy and academic stress among Hispanic firstyear college students: The moderating role of emotional intelligence. Journal of College Counseling, 19, 218–230. https://doi.org/10.1002/jocc.12045.
