Resilience as a Predictor of Academic Performance in Teenagers
Abstract
Academic performance is a determinant factor for the improvement of any country's education system. Establishing which aspects positively or negatively influence academic performance has given rise to different types of research. To further the existing knowledge on this matter, the present study analyzes the relationship between students’ resilience, self-concept, motivation, and academic performance in Secondary Education. To do so, three data collection instruments were used in a sample of 842 students from the city of Valladolid, aged between 13 and 16 years (M=14.8; SD=1.498): Self-concept Scale Form-5, Resilience Scale RS-14, and Attributional Motivation to Achieve Scale. Data analysis was conducted using mediational techniques based on structural equation modelling (SEM), which suggested that there was no direct relationship between the students’ self-concept, motivation, and academic performance. Interestingly, resilience was positioned as the mediating factor in the relationship between their self-concept and motivation and their academic performance. The results showed that students with a high level of resilience tended to cope better with difficult situations and to understand and appreciate the effort required and invested in study time.
Downloads
References
Ayala, J. C. y Manzano, G. (2018). Academic performance of first-year university students: the influence of resilience and engagement. Higher Education Research & Development, 37(7), 1321-1335. https://doi.org/10.1080/07294360.2018.1502258
Deci, E. L. y Ryan, R. M. (2008). Facilitating optimal motivation and psychological well-being across life’s domains. Canadian Psychology, 49(1), 14-23. https://doi.org/10.1037/0708-5591.49.1.14
Deighton, J., Humphrey, N., Belsky, J., Boehnke, J., Vostanis, P., y Patalay, P. (2018). Longitudinal pathways between mental health difficulties and academic performance during middle childhood and early adolescence. The British Journal of Developmental Psychology, 36(1), 110-126. https://doi.org/10.1111/bjdp.12218
Fox, K. R. y Corbin, C. B. (1989). The Physical Self–Perception Profile: Development and pre-liminary validation. Journal of Sports & Exercise Psychology, 11(4), 408–430. https://doi.org/10.1123/jsep.11.4.408
García, F. y Musitu, G. (2014). AF-5 Autoconcepto Forma 5. Editorial TEA.
Haktanir, A., Watson, J. C., Ermis, H., Karaman, M. A., Freeman, P., Kuraman, A., y Streeter, A. (2021). Resilience, academic self-concept, and college adjustment among first-year students. Journal of College Student Retention: Research, Theory y Practice, 23(1), 161-178. https://doi.org/10.1177/1521025118810666
Hansford, B. C. y Hattie, J. A. (1982). The relationship between self and achievement/performance measures. Review of Educational Research, 52(1), 123-142. https://doi.org/10.3102/00346543052001123
Hartley, M. T. (2011). Examining the relationships between resilience, mental health, and academic persistence in undergraduate college students. Journal of American College Health, 59(7), 596-604. https://doi.org/10.1080/07448481.2010.515632
Huang, C. (2011). Self-concept and academic achievement: A meta-analysis of longitudinal relations. Journal of School Psychology, 49(5), 505-528. https://doi.org/10.1016/j.jsp.2011.07.001
Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.). Guilford Press.
Kwek, A., Bui, H. T., Rynne, J., y Fung, K. K. (2013). The impacts of self-esteem and resilience on academic performance: an investigation of domestic and international hospitality and tourism undergraduate students. Journal of Hospitality & Tourism Education, 25(3), 110-122. https://doi.org/10.1080/10963758.2013.826946
Lazarides, R. y Raufelder, D. (2021). Control-value theory in the context of teaching: Does teaching quality moderate relations between academic self-concept and achievement emotions? British Journal of Educational Psychology, 91(1), 127-147. https://doi.org/10.1111/bjep.12352
Li, C. H. (2016). Confirmatory factor analysis with ordinal data: Comparing robust maximum likelihood and diagonally weighted least squares. Behavior Research Methods, 48, 936-949. https://doi.org/10.3758/s13428-015-0619-7
Liew, J., Cao, Q., Nughes, J. N., y Deutz, M. (2018). Academic resilience despite early academic adversity: a three-wave longitudinal study on regulation-related resiliency, interpersonal relationships, and achievement in first to third grade. Early Education and Development, 29(5), 762-779. https://doi.org/10.1080/10409289.2018.1429766
Luttenberger, S., Paechter, M., y Ertl, B. (2019). Self-concept and support experienced in school as key variables for the motivation of women enrolled in STEM subjects with a low and moderate proportion of females. Frontiers in Psychology, 10, 1242. https://doi.org/10.3389/fpsyg.2019.01242
Mardia, K. V. (1975). Assessment of multinormality and the robustness of Hotelling’s T2 test. Applied Statistics, 24(1), 163-171. https://doi.org/10.2307/2346563
Manassero, M. y Vázquez, A. (2000). Análisis empírico de dos escalas de motivación escolar. Revista Electrónica de Motivación y Emoción, 3(5-6), 1-16.
Muthén, L. K. y Muthén, B. O. (2015). Mplus statistical software (versión 7.31). Muthén y Muthén.
Paechter, M., Phan-Lesti, H., Ertl, B., Macher, M., Malkoc, S. y Papousek, I. (2022). Learning in Adverse Circumstances: Impaired by Learning with Anxiety, Maladaptive Cognitions, and Emotions, but Supported by Self-Concept and Motivation. Frontiers in Psychology, 13, 850578. https://doi.org/10.3389/fpsyg.2022.850578
Piqueras, J. A., Mateu-Martínez, O., Cejudo, J. y Pérez-González, J. C. (2019). Pathways into psychosocial adjustment in children: modeling the effects of trait emotional intelligence, social-emotional problems, and gender. Frontier in Psychology, 10, 507. https://doi.org/10.3389/fpsyg.2019.00507
Putwain, D. W., Schmitz, E. A., Wood, P., y Pekrun, R. (2021). The role of achievement emotions in primary school mathematics: control–value antecedents and achievement outcomes. British Journal of Educational Psychology, 91(1), 347-367. https://doi.org/10.1111/bjep.12367
Rentzios, C. y Karagiannopoulou, E. (2021). Rethinking associations between distal factors and learning: attachment, approaches to learning and the mediating role of academic emotions. Psychology 12(6), 899-924. https://doi.org/10.4236/psych.2021.126055
Rudd, G., Meissel, K., y Meyer, F. (2021). Measuring academic resilience in quantitative research: A systematic review of the literature. Educational Research Review, 34(1), 100402. https://doi.org/10.1016/j.edurev.2021.100402
Sánchez-Teruel, D. y Robles-Bello, M. A. (2015). Escala de Resiliencia 14 ítems (RS-14) propiedades psicométricas de la versión en español. Revista Iberoamericana de Diagnóstico y Evaluación psicológica, 2(40), 103-113. http://www.redalyc.org/articulo.oa?id=459645432011
Sánchez-Teruel, D., Robles-Bello, M. A., y Camacho-Conde, J. A. (2020). Resilience and the variables that encourage it in young sub-Saharan Africans who migrate. Children and Youth Services Review, 119, 105622. https://doi.org/10.1016/j.childyouth.2020.105622
Sarwar, M., Inamullah, H., Khan, N., y Anwar, N. (2010). Resilience and academic achievement of male and female secondary level students in Pakistan. Journal of College Teaching and Learning, 7(8), 19-24. https://doi.org/10.19030/tlc.v7i8.140
Sewasew, D. y Schroeders, U. (2019). The developmental interplay of academic self-concept and achievement within and across domains among primary school students. Contemporary Educational Psychology, 58(1), 204-212. https://doi.org/10.1016/j.cedpsych.2019.03.009
Shavelson, R., Hubner, J., y Stanton, J. (1976). Self-concept: Validation of construct interpretation. Review of Educational Research, 46(3), 407-441. https://doi.org/10.3102/00346543046003407
Sternberg, R. J. (2003). A Broad View of Intelligence: The Theory of Successful Intelligence. Consulting Psychology Journal: Practice and Research, 55(3), 139–154. https://doi.org/10.1037/1061-4087.55.3.139
Supervía, U. P., Bordás, S. C., y Robres, Q. A. (2022). The mediating role of self-efficacy in the relationship between resilience and academic performance in adolescence. Learning and Motivation, 78, 101814. https://doi.org/10.1016/j.lmot.2022.101814
Van-Soom, C. y Donche, V. (2014). Profiling first-year students in STEM programs based on autonomous motivation and academic self-concept and relationship with academic achievement. PLoS ONE, 9(11), e112489. https://doi.org/10.1371/journal.pone.0112489
Wagnild, G. M. y Young, H. M. (1993). Development and psychometric evaluation of the resilience scale. Journal of Nursing Measurement, 1(2), 165-178.
Weiner, B. (1986). An Attributional Theory of Motivation and Emotion. Springer New York. https://doi.org/10.1007/978-1-4612-4948-1
Wolff, F., Nagy, N., Helm, F., y Möller, J. (2018). Testing the internal/external frame of reference model of academic achievement and academic self-concept with open self-concept reports. Learning and Instruction, 55(1), 58-66. https://doi.org/10.1016/j.learninstruc.2017.09.006
Zaw, A. M. M., Win, N. Z., y Thepthien, B. O. (2022). Adolescents' academic achievement, mental health, and adverse behaviors: Understanding the role of resilience and adverse childhood experiences. School Psychology International, 43(5), 516-536. https://doi.org/10.1177/01430343221107114
Copyright (c) 2024 Journal of Educational Research
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
The articles and scientific documents published in RIE abide the following conditions:
1. The Servicio de Publicaciones de la Universidad de Murcia (the publisher) has the property rights (copyright) of all the documents published and allows the reuse under the user’s license indicated in point 2.
2. All documents are published in the digital edition of RIE under a Creative Commons Reconocimiento-NoComercial-SinObraDerivada 3.0 España (legal document) license. These documents can be copied, used, distributed, communicated and explained publicly if: i) the author(s) and its original source of publishing (magazine, publisher and URL of the document) are cited; ii) it is not used for commercial purpose; iii) the existence and the specifications about this license are mentioned.
3. Auto-archive’s conditions. The authors are allowed and encouraged to digitally distribute the pre-print versions (a version before evaluation) and/or post-print (a version that it is already evaluated and accepted to its publication). This promotes circulation and distribution earlier and can increase the citations and significance within the academic community.