Academic achievement is the degree to which students, educators, or organizations have attained their desired learning goals, whether short-term or long-term. It provides evidence of institutional efficiency in producing knowledgeable, proficient, and marketable graduates. Understanding the factors contributing to students' success is an important task not only for the students or lecturers but also for higher learning institutions. This understanding serves as valuable input for designing effective teaching, learning, and student activities to improve academic performance and reduce academic failure. Thus, the current study sought to determine the direct and indirect effects of self-esteem, personality traits, and emotional intelligence, as well as examine the role of academic motivation on students' learning outcomes as a mediator. A stratified random sampling method was employed, and 533 undergraduate students participated in this study. Four standard instruments have been adopted for data collection, which are Rosenberg Self-Esteem Scale (RSES), Schutte Self-Report Emotional Intelligence Test (SSEIT), Big Five Inventory (BFI), and Academic Motivation Scale. Structural equation modelling (SEM) was used to identify the relationship between self-esteem, personality traits, and emotional intelligence on academic achievement and examine academic motivation as a potential mediator for academic achievement. The findings of this study revealed that academic motivation, emotional expression, and conscientiousness were significant factors. Moreover, negative self-esteem, conscientiousness, openness, and self-emotional regulation exhibited significant indirect effects on academic achievement, and academic motivation has been proven to serve as a significant mediator. These results revealed essential inputs and provided a greater understanding of the higher learning institutions in structuring and planning their students' support systems and activities. Given the significant role of academic motivation as a mediator, it will be interesting to discover its significant contributors. Further studies can be conducted to determine the differences in academic motivation contributing factors with regard to gender, discipline, and socio-economic backgrounds.
Ab Hamid, M. R., Sami, W., & Sidek, M. H. (2017). Discriminant validity assessment: Use of Fornell & Larcker criterion versus HTMT criterion. Journal of Physics: Conference Series, 890(1), 1–6. https://doi.org/10.1088/1742-6596/890/1/012163
Ag Isha, D. S. N. S., & Hashim, S. R. M. (2022). Application of multiple linear regression in identifying contributing factors in students’ academic achievement. Proceedings of the International Conference on Mathematical Sciences and Statistics 2022 (ICMSS 2022), 364–377. https://doi.org/10.2991/978-94-6463-014-5_32
Aghamohammadi, M., & Asgari, S. (2016). The relationship between personality characteristics and emotional intelligence and academic performance at the students of medical sciences the Alborz Province. Biomedical and Pharmacology Journal, 9(2),715–722. https://doi.org/10.13005/bpj/994
Ahmadi, A., Ziapour, A., lebni, J. Y., & Mehedi, N. (2021). Prediction of academic motivation based on variables of personality traits, academic self-efficacy, academic alienation and social support in paramedical students. International Quarterly of Community Health Education, 1–7. https://doi.org/10.1177/0272684x211004948
Alipio, M. M. (2020). Predicting academic performance of college freshmen in the Philippines using psychological variables and expectancy-value beliefs to outcomes-based education: A path analysis. Education & Administration, 1–15. https://doi.org/10.35542/osf.io/pra6z
Ang, R. P., Neubronner, M., Oh, S.-A., & Leong, V. (2006). Dimensionality of Rosenberg’s self-esteem scale among normal-technical stream students in Singapore. Current Psychology: Developmental, Learning, Social Summer, 25(2), 120–131. http://dx.doi.org/10.1007/s12144-006-1007-3
Barattucci, M., Zakariya, Y. F., & Ramaci, T. (2021). Academic achievement and delay: A study with italian post-graduate students in psychology. International Journal of Instruction, 14(4), 1–20. https://doi.org/10.29333/iji.2021.1441a
Boduszek, D., Hyland, P., Dhingra, K., & Mallett, J. (2013). The factor structure and composite reliability of the Rosenberg self-esteem scale among ex-prisoners. Personality and Individual Differences, 55(8), 877–881. https://doi.org/10.1016/j.paid.2013.07.014
Cardella, G. M., Hernandez-Sanchez, B. R., & Carlos, Sanchez-Garc?a, J. (2021). Development and validation of a scale to evaluate students’ future impact perception related to the coronavirus pandemic (C-19FIPS). PLoS ONE, 16(11), 1–23. https://doi.org/10.1371/journal.pone.0260248
Cetin, B. (2015). Academic motivation and self-regulated learning in predicting academic achievement in college. Journal of International Education Research (JIER), 11(2), 95–106. https://doi.org/10.19030/jier.v11i2.9190
Chang, Y. C., & Tsai, Y. T. (2022). The effect of university students’ emotional intelligence, learning motivation and self-efficacy on their academic achievement–online English courses. Frontiers in Psychology, 13, 1–11. https://doi.org/10.3389/fpsyg.2022.818929
Clark, M. H., Middleton, S. C., Nguyen, D., & Zwick, L. K. (2014). Mediating relationships between academic motivation, academic integration and academic performance. Learning and Individual Differences, 33, 30–38. https://doi.org/10.1016/j.lindif.2014.04.007
Collier, J. E. (2020). Applied Structural Equation Modeling Using AMOS; Basic to Advanced Techniques (1st edition). New York: Routledge. https://doi.org/10.4324/9781003018414
Colquhoun, L. K., & Bourne, P. A. (2012). Self-esteem and academic performance of 4th graders in two elementary schools in Kingston and St. Andrew, Jamaica. Asian Journal of Business Management, 4(1), 36–57.
Dastgeer, G., Rehman, A., & Asghar, M. A. (2020). Selection and use of mediation testing method application in management sciences. Business & Economic Review, 12(3), 71–96. http://dx.doi.org/10.22547/BER/12.3.3
De Feyter, T., Caers, R., Vigna, C., & Berings, D. (2012). Unraveling the impact of the Big Five personality traits on academic performance: The moderating and mediating effects of self-efficacy and academic motivation. Learning and Individual Differences, 22(4), 439–448. https://doi.org/10.1016/j.lindif.2012.03.013
Demming, C. L., Jahn, S., & Boztug, Y. (2017). Conducting mediation analysis in marketing research. Marketing ZFP - Journal of Research and Management, 39(3), 76–93. http://doi.org/10.15358/0344-1369-2017-3-76
Duru, E., & Balkis, M. (2017). Procrastination, self-esteem, academic performance, and well-being: A moderated mediation model. International Journal of Educational Psychology, 6(2), 97–119. https://doi.org/10.17583/ijep.2017.2584
Ebinagbome, M. E., & Nizam, I. (2016). The impact of emotional intelligence on student’s academic performance: A study on Malaysian tertiary institution. International Journal of Accounting & Business Management, 4(1), 10–18. https://doi.org/10.24924/ijabm/2016.04/v4.iss1/10.18
Facultad, E. B., Clyde, S., Sebial, L., & High, N. (2019). Development and validation of a Mathematics attitude scale (MAS) for high school students in Southern Philippines. International Journal of Innovation, Creativity and Change, 8(2), 146–168. http://dx.doi.org/10.2139/ssrn.3503680
George, D., & Mallery, P. (2020). IBM SPSS Statistics 26 Step by Step: A Simple Guide and Reference (6th edition). New York: Routledge.
Guay, F., Mageau, G. A., & Vallerand, R. J. (2003). On the hierarchical structure of self-determined motivation: A test of top-down, bottom-up, reciprocal, and horizontal effects. Personality and Social Psychology Bulletin, 29(8), 992–1004. https://doi.org/10.1177/0146167203253297
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data Analysis (7th edition). New York: Pearson.
Hayes, A. F. (2018). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (2nd edition). New York: The Guilford Press.
Hazrati-Viari, A., Rad, A. T., & Torabi, S. S. (2012). The effect of personality traits on academic performance: The mediating role of academic motivation. Procedia - Social and Behavioral Sciences, 32, 367–371. https://doi.org/10.1016/j.sbspro.2012.01.055
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43, 115–135. https://doi.org/10.1007/s11747-014-0403-8
Huang, C., & Dong, N. (2012). Factor structures of the Rosenberg self-esteem scale: A meta-analysis of pattern matrices. European Journal of Psychological Assessment, 28(2), 132–138. https://doi.org/10.1027/1015-5759/a000101
Huang, C., Wang, Y., Wu, T., & Wang, P. (2013). An empirical analysis of the antecedents and performance consequences of using the Moodle platform. International Journal of Information and Education Technology, 3(2), 217–221.
https://doi.org/10.7763/IJIET.2013.V3.267
Hyland, P., Boduszek, D., Dhingra, K., Shevlin, M., & Egan, A. (2014). A bifactor approach to modelling the Rosenberg self-esteem scale. Personality and Individual Differences, 66, 188–192. https://doi.org/10.1016/j.paid.2014.03.034
Id, Q. S., Hussain, I., Syed, M. A., Parveen, R., Lodhi, S., & Mahmood, Z. (2019). Association between emotional intelligence and academic success among undergraduates: A cross-sectional study in KUST, Pakistan. PLoS One, 14(7) 1–22. https://doi.org/10.1371/journal.pone.0219468
Iqbal, J., Qureshi, N., Ashraf, M. A., Rasool, S. F., & Asghar, M. Z. (2021). The effect of emotional intelligence and academic social networking sites on academic performance during the COVID-19 pandemic. Psychology Research and Behavior Management, 14, 905–920. https://doi.org/10.2147/PRBM.S316664
Janadari, M. P. N., Ramalu, S., & Wei, C. (2013). Evaluation of measurement and structural model of the reflective model constructs in PLS – SEM. Proceedings of the 6th International Symposium of South Eastern University of Sri Lanka, 187–194.
John, O. P., and Srivastava, S. (1999). The Big Five Trait taxonomy: History, measurement, and theoretical perspectives. In L. A. Pervin & O. P. John (Ed.), Handbook of Personality: Theory and Research, (pp. 102–138). Guilford Press.
Khan, S. (2019). A comparative analysis of emotional intelligence and intelligence quotient among Saudi business students toward academic performance. International Journal of Engineering Business Management, 11, 1–10. https://doi.org/10.1177/1847979019880665
Kielkiewicz, K., Mathúna, C., & McLaughlin, C. (2020). Construct validity and dimensionality of the Rosenberg self-esteem scale and its association with spiritual values within Irish population. Journal of Religion and Health, 59(1), 381–398. https://doi.org/10.1007/s10943-019-00821-x
Kiss, M., Kotsis, A., & Kun, A. I. (2014). The relationship between intelligence, emotional intelligence, personality styles and academic success. Business Education and Accreditation, 6(2), 23–34.
Kline, R. B. (2016). Principles and Practices of Structural Equation Modelling (4th edition). New York: Guilford Press.
Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(2), 607–610. https://doi.org/10.1177/001316447003000308
Kusurkar, R. A., Ten Cate, T. J., Vos, C. M. P., Westers, P & Croiset, G (2013). How motivation affects academic performance: A structural equation modelling analysis. Advances in Health Sciences Education, 18, 57–69.
Lim, P. S., & Abdullah, L. Y. (2012). Relationship between Big-Five personality domains and students academic achievement. Pertanika Journal of Social Science and Humanities, 20, 973-988.
Lola, M. S., & Azreen, M. A. (2016). Confirmatory factor analysis approach: A case study of Mathematics students’ achievement in TIMSS. Malaysian Journal of Mathematical Sciences, 10, 41–51.
Mammadov, S., Cross, T. L., & Olszewski-Kubilius, P. (2021). A look beyond aptitude: The relationship between personality traits, autonomous motivation, and academic achievement in gifted students. Roeper Review, 43(3), 161–172. https://doi.org/10.1080/02783193.2021.1923595
Marjanovic, Z. J., Dimitrijevic, A. A., Protic, S., & Mestre, J. M. (2021). The role of strategic emotional intelligence in predicting adolescents’ academic achievement: Possible interplays with verbal intelligence and personality. International Journal of Environmental Research and Public Health, 18(24), 1–20. https://doi.org/10.3390/ijerph182413166
Martin-Albo, J., Gonzalez-Cutre, D., & Nunez, J. L. (2014). The issue of interactional hypothesis in self-determination theory: A proposal of a new motivation quality index. Anales de Psicologia, 30(1), 267–277. https://doi.org/10.6018/analesps.30.1.135031
McGeown, S. P., Putwain, D., Geijer Simpson, E., Boffey, E., Markham, J., & Vince, A. (2014). Predictors of adolescents’ academic motivation: Personality, self-efficacy and adolescents’ characteristics. Learning and Individual Differences, 32, 278–286. https://doi.org/10.1016/j.lindif.2014.03.022
Mega, C., Ronconi, L., & De Beni, R. (2014). What makes a good student? How emotions, self-regulated learning, and motivation contribute to academic Achievement. Journal of Educational Psychology, 106(1), 121–131. https://doi.org/10.1037/a0033546
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
Michaelides, M. P., Koutsogiorgi, C., & Panayiotou, G. (2016). Method effects on an adaptation of the Rosenberg self-esteem scale in Greek and the role of personality traits. Journal of Personality Assessment, 98(2), 178–188.
https://doi.org/10.1080/00223891.2015.1089248
Moayed, M. S., Vahedian-Azimi, A (2021). The relationship between self-esteem and academic motivation among postgraduate nursing students: a cross-sectional study. Int J Behav Sci, 15, 113–119.
Nazim, A., & Ahmad, S. (2013). Least square (OLS) and structural equation modeling (SEM) methods in estimating the influencial factors of 8th grades student’s Mathematics achievement. International Journal of Scientific & Engineering Research, 4(7), 717–722.
Ning, H. K., & Downing, K. (2012). Influence of student learning experience on academic performance: The mediator and moderator effects of self-regulation and motivation. British Educational Research Journal, 38(2), 219–237.
https://doi.org/10.1080/01411926.2010.538468
Onder, I., Besoluk, S., Iskender, M., Masal, E., & Demirhan, E. (2014). Circadian preferences, sleep quality and sleep patterns, personality, academic motivation and academic achievement of university students. Learning and Individual Differences, 32, 184–192. https://doi.org/10.1016/j.lindif.2014.02.003
Oz, H. (2016). Academic motivation and academic achievement among preservice English teachers: A structural equation modeling approach. Anthropologist, 25(3), 240–248. https://doi.org/10.1080/09720073.2016.11892112
Pervan, M., Curak, M., & Kramaric, T. P. (2018). The influence of industry characteristics and dynamic capabilities on firms’ profitability. International Journal of Financial Studies, 6(4), 1–19. https://doi.org/10.3390/ijfs6010004
Quílez-Robres, A., Moyano, N., & Cortes-Pascual, A. (2021). Executive functions and self-esteem in academic performance: A mediational analysis. International Journal of Psychological Research, 14(2), 52–60. https://doi.org/10.21500/20112084.5198
Rosander, P., Backstrom, M., & Stenberg, G. (2011). Personality traits and general intelligence as predictors of academic performance: A structural equation modelling approach. Learning and Individual Differences, 21(5), 590–596. https://doi.org/10.1016/j.lindif.2011.04.004
Rosenberg, M. (1965). Society and the Adolescent Self-Image. Princeton: Princeton University Press. https://doi.org/10.1515/9781400876136
Sadipour, I., Ghavam, S. E., Farrokhi, N., Assadzadeh, H., & Sameti, N. (2017). A model to predict academic performance based on the components of emotional intelligence, problem solving skills and achievement motivation among students of smart and ordinary school. International Journal of Environmental and Science Education, 12(5), 1353–1369.
Salerno, L., Ingoglia, S., & Lo Coco, G. (2017). Competing factor structures of the Rosenberg Self-Esteem Scale (RSES) and its measurement invariance across clinical and non-clinical samples. Personality and Individual Differences, 113, 13–19. https://doi.org/10.1016/j.paid.2017.02.063
Schumacker, R. E., & Lomax, R. G. (2010). A Beginner’s Guide to Structural Equation Modeling. New York: Routledge.
Schutte, N. S., Malouff, J. M., Hall, L. E., Haggerty, D. J., Cooper, J. T., Golden, C. J., & Dornheim, L. (1998). Development and validation of a measure of emotional intelligence. Personality and Individual Differences, 25(2), 167–177. https://doi.org/10.1016/S0191-8869(98)00001-4
Sidhu, A., Bhalla, P., & Zafar, S. (2021). Mediating effect and review of its statistical measures. Empirical Economics Letters, 20(4), 29–40.
Soufi, S., Damirchi, E. S., Sedghi, N., & Sabayan, B. (2014). Development of structural model for prediction of academic achievement by global self-esteem, academic self-concept, self-regulated learning strategies and autonomous academic motivation. Procedia - Social and Behavioral Sciences, 114, 26–35.
https://doi.org/10.1016/j.sbspro.2013.12.651
Supple, A. J., Su, J., Plunkett, S. W., Peterson, G. W., & Bush, K. R. (2013). Factor structure of the Rosenberg Self-Esteem Scale. Journal of Cross-Cultural Psychology, 44(5), 748–764. https://doi.org/10.1177/0022022112468942
Tam, H. L., Kwok, S. Y. C. L., Hui, A. N. N., Chan, D. K. yin, Leung, C., Leung, J., Lo, H., & Lai, S. (2021). The significance of emotional intelligence to students’ learning motivation and academic achievement: A study in Hong Kong with a Confucian heritage. Children and Youth Services Review, 121, 1–9. https://doi.org/10.1016/j.childyouth.2020.105847
Tomas, J. M., & Oliver, A. (1999). Rosenberg’s self-esteem scale: Two factors or method effects. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 84–98. https://doi.org/10.1080/10705519909540120
Trigueros, R., Aguilar-Parra, J. M., Cangas, A. J., Bermejo, R., Ferrandiz, C., & Lopez-Liria, R. (2019). Influence of emotional intelligence, motivation and resilience on academic performance and the adoption of healthy lifestyle habits among adolescents. International Journal of Environmental Research and Public Health, 16(16), 1–12. https://doi.org/10.3390/ijerph16162810
Tripathi, A., Chaturvedi, K. R., & Tripathi, A. P. (2018). Assessing the influence of intrinsic motivation on academic performance: A study of management teachers. Pertanika Journal of Social Sciences and Humanities, 26, 1455-1470.
Troncone, A., Drammis, M. L., & Labella, A. (2014). Personality traits, self-esteem and academic achievement in secondary school students in Campania, Italy. Universal Journal of Educational Research, 2(7), 512–520.
https://doi.org/10.13189/ujer.2014.020703
Ursachi, G., Horodnic, I. A., & Zait, A. (2015). How reliable are measurement scales? external factors with indirect influence on reliability estimators. Procedia Economics and Finance, 20, 679–686. https://doi.org/10.1016/s2212-5671(15)00123-9
Vallerand, R. J., Pelletier, L. G., Blais, M. R., Briere, N. M., Senecal, C., & Vallieres, E. F. (1992). The academic motivation scale: A measure of intrinsic, extrinsic, and amotivation in education. Educational and Psychological Measurement, 52(4), 1003–1017. https://doi.org/10.1177/0013164492052004025
Wrigley-Asante, C., Ackah, C. G., & Frimpong L. K. (2023). Gender differences in academic performance of students studying Science Technology Engineering and Mathematics (STEM) subjects at the University of Ghana. Springer Nature Social Sciences, 3(1), 1–22. https://doi.org/10.1007%2Fs43545-023-00608-8
Xu, D., & Wu, X. (2016). The rise of the second generation: aspirations, motivations and academic success of Chinese immigrants’ children in Hong Kong. Journal of Ethnic and Migration Studies, 43(7), 1164–1189.
https://doi.org/10.1080/1369183X.2016.1245132
Zhoc, K. C. H., Li, J. C. H., & Webster, B. J. (2016). New reliability and validity evidence of the Emotional Intelligence Scale. Journal of Psychoeducational Assessment, 35(6), 1–16. https://doi.org/10.1177/0734282916653901