¿Estudio lo que quiero o lo que debo?Efectos de la motivación en la preferencia de estudio sobre la eficacia percibida, el engagement académico y la ideación de abandonar los estudios universitarios

  1. Merhi, Richard 1
  2. Sánchez-Elvira-Paniagua, Ángeles 2
  3. Palací, Francisco J. 2
  4. Salanova, Marisa 1
  1. 1 Universitat Jaume I
    info
    Universitat Jaume I

    Castelló de la Plana, España

    ROR https://ror.org/02ws1xc11

    Geographic location of the organization Universitat Jaume I
  2. 2 Universidad Nacional de Educación a Distancia
    info
    Universidad Nacional de Educación a Distancia

    Madrid, España

    ROR https://ror.org/02msb5n36

    Geographic location of the organization Universidad Nacional de Educación a Distancia
Journal:
Revista de investigación educativa, RIE

ISSN: 1989-9106

Year of publication: 2025

Issue: 43

Type: Article

DOI: 10.6018/RIE.594561 DIALNET GOOGLE SCHOLAR HANDLE: https://hdl.handle.net/10201/149980

More publications in: Revista de investigación educativa, RIE

Abstract

The present study uses a cross-lagged model in order to analyse the impact of  (intrinsic and extrinsic) motivations on the choice of a university degree. It examines how these motivations affect perceived efficacy, academic engagement, academic results and the tendency to change or drop out. A sample of 198 students from Spanish universities answered a battery of questionnaires before and after the first academic evaluation period of the course. The results show the significant and positive impact of intrinsic (as opposed to extrinsic) motivations on perceived efficacy and academic engagement. On the other hand, it is noted that engagement plays a mediational role in the relationship of motivation and perceived efficacy with the ideation of change and university dropout. The latter indicator is predicted by both lower engagement and poorer academic performance. The data highlight the relevance of an adequate pre-university orientation towards degrees for which the student experiences greater intrinsic motivation, due to its subsequent impact on variables that prevent dropout and change of studies. These actions should be complemented with others that increase the levels of personal resources and well-being of students once they have started their studies.

Bibliographic References

  • Bandura, A. (2001). Social cognitive theory: An agentic perspective. Annual Review Psychology, 52, 1-26. https://doi.org/10.1146/annurev.psych.52.1.1
  • Behr, A., Giese, M., Teguim, H., y Theune, K. (2020). Dropping out of university: a literature review. Review of education, 8(2), 614-652. https://doi.org/10.1002/rev3.3202
  • Casanova, J. R., Cervero, A., Núñez, J. C., Almeida, L. S., y Bernardo, A. (2018). Factors that determine the persistence and dropout of university students. Psicothema, 30(4), 408–414. https://doi.org/10.7334/psicothema2018.155
  • Cavanaugh, J., y Neath, A. (2019). The Akaike Information Criterion: Background, Derivation, Properties, Application, Interpretation, and Refinements. Wiley interdisciplinary reviews. Computational statistics, 11(3), e1460 https://doi.org/10.1002/wics.1460
  • Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155–159. https://doi.org/10.1037/0033-2909.112.1.155
  • Comisión Europea (2015). Dropout and Completion in Higher Education in Europe. Main Report. Publications Office of the European Union. https://data.europa.eu/doi/10.2766/826962
  • Demerouti, E., y Bakker, A. B. (2023). Job demands-resources theory in times of crises: New propositions. Organizational Psychology Review, 13(3), 209-236. https://doi.org/10.1177/20413866221135022
  • Díaz-Mujica, A., Pérez-Villalobos, M. V., Bernardo-Gutiérrez, A. B., Cervero-Fernández-Castañón, A., y González-Pienda, J. A. (2019). Affective and cognitive variables involved in structural prediction of university dropout. Psicothema, 31(4), 429–436. https://doi.org/10.7334/psicothema2019.124
  • Fernández-Mellizo, M. (Coord.) (2022). Análisis del abandono de los estudiantes de grado en las universidades presenciales en España. Ministerio de Universidades. https://www.universidades.gob.es/wp-content/uploads/2022/11/EAU_Informe_abandono.pdf
  • Figuera Gazo, P., Buxarrais Estrada, M. R., Llanes Ordóñez, J., y Venceslao Pueyo, M. (2018). Perfil, motivación y satisfacción académica en los estudiantes de máster: el caso de Ciencias Sociales y Jurídicas. Estudios sobre Educación, 34, 219–237. https://doi.org/10.15581/004.34.219-237
  • Fredrickson, B., y Joiner, T. (2018). Reflections on Positive Emotions and Upward Spirals. Perspectives on Psychological Science, 13(2), 194–199. https://doi.org/10.1177%2F1745691617692106
  • Garrido, L. E., Barrada, J. R., Aguasvivas, J. A., Martínez-Molina, A., Arias, V. B., Golino, H. F., Legaz, E., Ferrís, G., y Rojo-Moreno, L. (2020). Is small still beautiful for the strengths and difficulties questionnaire? Novel findings using exploratory structural equation modeling. Assessment, 27(6), 1349–1367. https://doi.org/10.1177/1073191118780461
  • Hodge, B., Wright, B., y Bennett, P. (2019). Increasing student engagement and reducing exhaustion through the provision of demanding but well-resourced training. Journal of Further and Higher Education, 43(3), 406-417. https://doi.org/10.1080/0309877X.2017.1363385
  • Hoelter, J. W. (1983). The analysis of covariance structures: Goodness–of–fit indices. Sociological Methods & Research, 11(3), 325–344. https://doi.org/10.1177/0049124183011003003
  • Honicke, T., y Broadbent, J. (2016). The Relation of Academic Self-Efficacy to University Student Academic Performance: A Systematic Review. Educational Research Review, 17, 63-84. http://dx.doi.org/10.1016/j.edurev.2015.11.002
  • Hooper, D., Coughlan, J., y Mullen, M. R. (2008). Structural Equation Modelling: Guidelines of determining Model Fit. The Electronic Journal of Business Research Methods, 6(1), 53-60. https://doi.org/10.21427/D7CF7R
  • Llanes, J., Méndez-Ulrich, J. L., y Montané López, A. (2021). Motivación y satisfacción académica de los estudiantes de educación: una visión internacional. Educación XX1, 24(1), 45-68. http://doi.org/10.5944/educXX1.26491
  • López-Aguado, M., y Gutiérrez-Provecho, L. (2019). Com dur a terme i interpretar una anàlisi factorial exploratòria utilitzant SPSS. REIRE Revista d’Innovació i Recerca en Educació, 12(2), 1–14. https://doi.org/10.1344/reire2019.12.227057
  • López-Fernández, M. V., y Sánchez-Herrera, S. (2018). Relación entre la madurez vocacional y la motivación hacia el aprendizaje académico. Revista INFAD de Psicología. International Journal of Developmental and Educational Psychology, 1(1), 21–30. https://doi.org/10.17060/ijodaep.2018.n1.v1.1150
  • Luque, E., García, F. y de Santiago, C. (2014). El abandono y el egreso en la UNED. En Á. Sánchez-Elvira Paniagua & M. Santamaría Lancho (coord.), Libro de Actas. VI Jornadas de Redes de Investigación en Innovación Docente de la UNED (pp. 1211-1218). Universidad Nacional de Educación a Distancia (UNED). https://hdl.handle.net/20.500.14468/21907
  • MacKinnon, D. (2008). Introduction to statistical mediation analysis. Routledge. https://doi.org/10.4324/9780203809556
  • Martínez, I. M., Peñalver, J. y Meneghel, I. (2016). Take Care of Well-Being: How Facilitators and Engagement Predict Performance of University Students. Multidisciplinary Journal for Education, Social and Technological Sciences, 3(1), 100–117. https://doi.org/10.4995/muse.2016.3751
  • Mazzetti, G., Robledo, E., Vignoli, M., Topa, G., Guglielmi, D., y 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
  • Meng, Q., y Zhang, Q. (2023). The Influence of Academic Self-Efficacy on University Students’ Academic Performance: The Mediating Effect of Academic Engagement. Sustainability, 15(7), 5767. https://doi.org/10.3390/su15075767
  • Merhi, R. (2011). Expectativas del estudiantado en la universidad del nuevo milenio. La Cuestión Universitaria, 7, 23-31. https://polired.upm.es/index.php/lacuestionuniversitaria/article/view/3353
  • Merhi, R. (2021). Factores psicológicos predictores del bienestar y el éxito académico en estudiantes universitarios. Un abordaje desde la teoría de demandas y recursos (Tesis doctoral). Universidad Nacional de Educación a Distancia. https://hdl.handle.net/20.500.14468/20933
  • Merhi, R., Sánchez-Elvira-Paniagua, A., y Palací, F. J. (2018). The role of psychological strengths, coping strategies and well-being in the prediction of academic engagement and burnout in first-year university students. Acción Psicológica, 15(2), 51–67. https://doi.org/10.5944/ap.15.2.21831
  • Ministerio de Universidades (2023). Sistema Integrado de Información Universitaria. https://www.universidades.gob.es/catalogo-de-datos/
  • Podsakoff, P. M., MacKenzie, S. B., y Podsakoff, N. P. (2012). Sources of method bias in social science research and recommendations on how to control it. Annual review of psychology, 63(1), 539–569. https://doi.org/10.1146/annurev-psych-120710-100452
  • Preacher, K. J., y Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879–891. https://doi.org/10.3758/BRM.40.3.879
  • Respondek, L., Seufert, T., Hamm, J. M., y Nett, U. E. (2020). Linking changes in perceived academic control to university dropout and university grades: A longitudinal approach. Journal of Educational Psychology, 112(5), 987–1002. https://doi.org/10.1037/edu0000388
  • Ryan, R. M., y Deci, E. L. (2020). Intrinsic and extrinsic motivation from a self-determination theory perspective: Definitions, theory, practices, and future directions. Contemporary Educational Psychology, 61, 101860. https://doi.org/10.1016/j.cedpsych.2020.101860
  • Salanova, M., Bresó, E., y Schaufeli, W. B. (2005). Hacia un modelo espiral de las creencias de eficacia en el estudio del Burnout y del Engagement. Ansiedad y Estrés, 11(2-3), 215-231.
  • Salanova, M., Martínez, I., Bresó, E., Llorens, S., y Grau, R. (2005). Bienestar psicológico en estudiantes universitarios: facilitadores y obstaculizadores del desempeño académico. Anales de Psicología, 21(1), 170-180. https://revistas.um.es/analesps/article/view/27261
  • Salanova, M., Schaufeli, W.B., Llorens, S., Peiró, J.M., y Grau, R. (2000). Desde el ‘burnout’ al ‘engagement’: ¿una nueva perspectiva? Revista de Psicología del Trabajo y de las Organizaciones, 16(2), 117-134.
  • Schaufeli, W. B., Martínez, I. M., Marqués-Pinto, A., Salanova, M., y Bakker, A. (2002). Burnout and Engagement in university students: A cross-national study. Journal of Cross-Cultural Studies, 33(5), 464-481. https://doi.org/10.1177/0022022102033005003
  • Seligman, M., y Adler, A. (2018). Positive Education. En J. F. Helliwell, R. Layard y J. Sachs (Eds.), Global Happiness Policy Report: 2018 (pp. 52-73). Global Happiness Council.
  • Talsma, K., Schüz, B., Schwarzer, R., y Norris, K. (2018). I believe, therefore I achieve (and vice versa): A meta-analytic cross-lagged panel analysis of self-efficacy and academic performance. Learning and Individual Differences, 61, 136–150. https://doi.org/10.1016/j.lindif.2017.11.015
  • Tapasco, O., A., Ruiz, F. J., Osorio, D., y Ramírez D. (2019). Deserción estudiantil: incidencia de factores institucionales relacionados con los procesos de admisión. Educación y Educadores, 22(1), 81-100. https://doi.org/10.5294/edu.2019.22.1.5
  • Tinto, V. (2017). Reflections on Student Persistence. Student Success, 8(2), 1-8. https://doi.org/10.5204/ssj.v8i2.376
  • Upsher, R., Nobili, A., Hughes, G., y Byrom, N. (2022). A systematic review of interventions embedded in curriculum to improve university student wellbeing. Educational Research Review, 37, 100464. https://doi.org/10.1016/j.edurev.2022.100464
  • Williams, N., Horrell, L., Edmiston, D., y Brady, M. (2018). The Impact of Positive Psychology on Higher Education. The William y Mary Educational Review, 5(1), art. 12. https://scholarworks.wm.edu/wmer/vol5/iss1/12