Perfiles de toma de decisiones académico-profesionales en estudiantes de Educación Secundaria Obligatoria

  1. Lidia Esther Santana Vega
  2. Luis Antonio Feliciano García
  3. Jaime León González-Vélez
  4. Zuleica Ruiz Alfonso
Journal:
Revista complutense de educación

ISSN: 1130-2496 1988-2793

Year of publication: 2023

Volume: 34

Issue: 2

Pages: 449-459

Type: Article

DOI: 10.5209/RCED.79388 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

More publications in: Revista complutense de educación

Abstract

The success of Secondary Education student’s transitions depends on their willingness to manage the construction of their careers. The objectives of this research are to identify the profiles of students in Compulsory Secondary Education in the management of their academic-labor decisions, as well as to determine their differences based on motivation to learn, family support, self-efficacy and academic achievement. The participants were 2187 students in the 10th and 11th compulsory secondary education grades. Data were obtained by means of the Academic and Labour Guidance Questionnaire which includes the Attitudes towards Professional Choice Inventory, the Family Affective Support Scale and the Decision Making Self-Efficacy Scale. Latent profile analysis was used to identify patterns in the management of academic-labor decision making and to establish differences between the different profiles. The students show four profiles in the management of their academic-labor decisions: Dependent, Indifferent, Standard, and Proactive. Proactive students perceive more family support, have more confidence in their ability to make decisions, are more inclined to study, obtain higher grades, and are clearer about their academic and work options. Our results suggest the need to identify students with poor self-management decision-making skills. Counseling should empower these students to manage their decisions effectively. Providing information is not enough for all students to take on decision management, given their different profiles.

Bibliographic References

  • Akkermans, J., Paradniké, K., Van der Heijden, B., y Ans De Vos, A. (2018). The best of both worlds: The role of career adaptability and career competencies in students’ well-being and performance. Frontiers in Psichology, 9, art.1678. https://doi.org/10.3389/fpsyg.2018.01678
  • Álvarez, M., Bizquerra, R., Espín, J., y Rodríguez, S. (2007). La madurez de la carrera en educación secundaria [Career maturity in secondary education]. EOS.
  • Antonio-Agirre, I., Rodríguez-Fernández, A., y Revuelta, L. (2019). El impacto del apoyo social y la inteligencia emocional percibida sobre el rendimiento académico en Educación Secundaria. European Journal of Investigation in Health, Psychology and Education, 9(2). 109-118. https://doi.org/10.30552/ejihpe.v9i2.324
  • Asher, Z., Noor, U., y Nawaz, M. (2020). Furthering Proactivity and Career Adaptability Among University Students: Test of Intervention. Journal of Career Assesment, 28(3), 402-424. https://doi.org/10.1177/1069072719870739
  • Asparouhov, T., y Muthén, B. O. (2006). Robust chi-square difference testing with mean and variance adjusted test statistics. Muthén y Muthén.
  • Avram, E., Burtăverde, V., y Zanfirescu S. (2019). The incremental validity of career adaptability in predicting academic performance. Social Psychology of Education, 22(2),1-16. https://doi.org/10.1007/s11218-019-09505-6
  • Bakk, Z., y Vermunt, J. K. (2016). Robustness of stepwise latent class modeling with continuous distal outcomes. Structural Equation Modeling, 23(1), 20–31. https://doi.org/10.1080/10705511.2014.955104
  • Cai, Z., Guan, Y., Wang, F., Liu, H., Ji, Y., Jia, X., Fang, Z., Li, Y., Hua, H., y Li, C. (2015). Career-specific parental behaviors, career exploration and career adaptability: A three-wave investigation among chinese undergraduates. Journal of Vocational Behavior, 86, 95-103. https://doi.org/10.1016/j.jvb.2014.10.004
  • Carbonero, M., y Merino, E. (2002). La escala de autoeficacia vocacional. Desarrollo, análisis y aplicaciones del instrumento [The vocational self-efficacy scale. Development, analysis and applications of the instrument]. Revista de Psicodidáctica, 14, 99-114.
  • Chan, K., Uy, M., Ho, M., Sam, Y., Chernyshenko, O., y Yu, K. (2015). Comparing two career adaptability measures for career construction theory: relations with boundaryless mindset and protean career attitudes. Journal of Vocational Behavior, 87, 22–31. https://doi.org/10.1016/j.jvb.2014.11.006
  • Choi, Y., Kim, J., y Kim, S. (2015). Career development and school success in adolescents: The role of career interventions. The Career Development Quarterly, 63(2), 171-186. https://doi.org/10.1002/cdq.12012
  • Crites, J. y Savickas, M. (1996). Revision of the Career Maturity Inventory. Journal of Career Assessment, 4(2), 131-138. https://doi.org/10.1177/106907279600400202
  • Del Corso, J., y Briddick, H. S. (2015). Using audience to foster self-narrative construction and career adaptability. In P. J. Hartung, M. L. Savickas, y W. B. Walsh (Eds.), APA handbook of career intervention: Applications (Vol. 2) (pp. 255-268). American Psychological Association. https://doi.org/10.1037/14439-019
  • Dostanick, J., Suvajdžić, K., y Krpović–Bojanić, Z. (2021). Decision-making styles, career decision self-efficacy, and career adaptability among high school students. The Career Development Quarterly, 69(1), 63-77. https://doi.org/10.1002/cdq.12249
  • Figuera, P., Daria, I., y Forner, A. (2003). Las competencias académicas previas y el apoyo familiar en la transición a la Universidad [Prior academic skills and family support in the transition to university]. Revista de Investigación Educativa, 21(2), 349-369.
  • Ginebra, M.C., Annovazzi, C., Santilli, S., Di Maggio, I., y Camussi, E. (2018). Breadth of vocational interests: the role of career adaptability and future orientation. The Career Development Quarterly, 66(3), 233-245. https://doi.org/10.1002/cdq.12145
  • González-Rodríguez, D., Vieira, M., y Vidal, J. (2019). Variables que influyen en la transición de la Educación Primaria a la Educación Secundaria Obligatoria. Un modelo comprensivo. Bordón, 71(2), 85-108. https://doi.org/10.13042/Bordon.2019.68957
  • Green, S. B., Thompson, M. S., Levy, R., y Lo, W.J. (2015). Type I and type II error rates and overall accuracy of the revised parallel analysis method for determining the number of factors. Educational and Psychological Measurement, 75(3), 428–457. https://doi.org/10.1177/0013164414546566
  • Hartung, P., y Cadaret, M. (2017). Career adaptability: Changing self and situation for satisfaction and success. En K. Maree (Ed.), Psychology of Career Adaptability, Employability and Resilience (pp. 15-28). Springer International Publishing.
  • Hirschi, A. (2012). The career resources model: An integrative framework for career counsellors. British Journal of Guidance y Counselling, 40, 369-383. https://doi.org/10.1080/03069885.2012.700506
  • Hirschi, A., y Valero, D. (2015). Career adaptability profiles and their relationship to adaptivity and adapting. Journal of Vocational Behavior, 88, 220-229. https://doi.org/10.1016/j.jvb.2015.03.010
  • Hirschi, A., Herrmann, A., y Keller, A. C. (2015). Career adaptivity, adaptability, and adapting: A conceptual and empirical investigation. Journal of Vocational Behavior, 87, 1–10. https://doi.org/10.1016/j.jvb.2014.11.008
  • Hlad′o, P., Kvasková, L., Ježek, S., Hirschi, A., y Macek, P. (2020). Career adaptability and social support of vocational students leaving upper secondary school. Journal of Career Assessment, 28(3), 478–495. https://doi.org/10.1177/1069072719884299
  • Hofmans, J., Wille, B., y Schreurs, B. (2020). Person-centered methods in vocational research. Journal of Vocational Behavior, 118, 103398. https://doi.org/10.1016/j.jvb.2020.103398
  • Johnston, C. (2018). A systematic review of the career adaptability literature and future outlook. Journal of Career Assesment, 26(1), 3-30. https://doi.org/10.1177/1069072716679921
  • Jorrín, I., Fontana, M., y Rubia, B. (2021). Investigar en educación. Síntesis.
  • Klehe, U. C., Fasbender, U., y van der Horst, A. (2021). Going full circle: Integrating research on career adaptation and proactivity. Journal of Vocational Behavior, 126, 103526. https://doi.org/10.1016/j.jvb.2020.103526
  • Lam, M., y Santos, A. (2018). The impact of a college career intervention program on career decision self-efficacy, career indecision, and decision-making difficulties. Journal of Career Assesment, 26(3), 425-444. https://doi.org/10.1177/1069072717714539
  • Lanza, S. T., y Rhoades, B. L. (2013). Latent class analysis: An alternative perspective on subgroup analysis in prevention and treatment. Prevention Science, 14(2), 157–168. https://doi.org/10.1007/s11121-011-0201-1
  • Lanza, S. T., Tan, X., y Bray, B. C. (2013). Latent class analysis with distal outcomes: A flexible model-based approach. Structural Equation Modeling: A Multidisciplinary Journal, 20(1), 1–26. https://doi.org/10.1080/10705511.2013.742377
  • León, J., y Liew, J. (2017). Profiles of adolescents’ peer and teacher relatedness: Differences in well-being and academic achievement across latent groups. Learning and Individual Differences, 54, 41–50. https://doi.org/10.1016/j.lindif.2017.01.009
  • Li, H., Ngo, H., y Cheung, F. (2019). Linking protean career orientation and career decidedness: The mediating role of career decision self-efficacy. Journal of Vocational Behavior, 115, Article 103322. https://doi.org/10.1016/j.jvb.2019.103322
  • Marcionetti, J., y Rossier, J. (2021). A longitudinal study of relations among adolescents’ self-esteem, general self-efficacy, career adaptability, and life satisfaction. Journal of Career Development, 48(4), 475-490. https://doi.org/10.1177/0894845319861691
  • Marsh, H. W., Lüdtke, O., Trautwein, U., y Morin, A. J. S. (2009). Classical latent profile analysis of academic self-concept dimensions: Synergy of person- and variable-centered approaches to theoretical models of self-concept. Structural Equation Modeling: A Multidisciplinary Journal, 16(2), 191–225. https://doi.org/10.1080/10705510902751010
  • Marsh, H., Liem, G., Martin, A., Morin, A., y Nagengast, B. (2011). Methodological measurement fruitfulness of Exploratory Structural Equation Modeling (ESEM). New Approaches to Key Substantive Issues in Motivation and Engagement. Journal of Psychoeducational Assessment, 29(4), 322–346. https://doi.org/10.1177/0734282911406657
  • Merino-Tejedor, E., Hontangas, P. M., y Boada-Grau, J. (2016). Career adaptability and its relation to self-regulation, career construction, and academic engagement among Spanish university students. Journal of Vocational Behavior, 93, 92-102. https://doi.org/10.1016/j.jvb.2016.01.005
  • Ministerio de Educación y Formación Profesional (2021). Explotación de las variables educativas de la Encuesta de Población Activa. 2020. Nota Resumen [Educational variables exploitation of the Labour Force Survey. 2020. Summary Note]. Ministerio de Educación y Formación Profesional.
  • Muthén, L., y Muthén, B. (2018). Mplus user’s guide (8th ed.). Muthén y Muthén.
  • Núñez, J. L., y Martín-Albo, J. (2006). Validación de la Escala de Motivación Educativa (EME) en Paraguay. Revista Interamericana de Psicología/Interamerican Journal of Psychology, 40(3), 391–398.
  • Park, S., Cha, S., Joo, M. et al (2022). A multivariate discriminant analysis of university students’ career decisions based on career adaptability, social support, academic major relevance, and university life satisfaction. International Journal for educational and Vocational Guidance, 22, 191–206. https://doi.org/10.1007/s10775-021-09480-5
  • Parmentier, M., Pirsoul, T., y Nils, F. (2021). Career adaptability profiles and their relations with emotional and decision-making correlates among belgian undergraduate students. Journal of Career Development, 49(4), 934-950. https://doi.org/10.1177/08948453211005553
  • Perera, H.N., y McIlveen, P. (2017). Profiles of career adaptivity and their relations with adaptability, adapting and adaptation. Journal of Vocational Behavior, 98, 70-84. https://doi.org/10.1016/j.jvb.2016.10.001
  • Pérez, F., y Aldás, J. (2019). Indicadores sintéticos de las universidades españolas [Synthetic indicators of Spanish universities]. Fundación BBVA.
  • Pituch, K., y Stevens, J. (2016). Applied multivariate statistics for the social sciences: Analyses with SAS and IBM’s SPSS (6th ed.). Routledge.
  • Roksa, J., y Kinsley, P. (2019). The role of family support in facilitating academic success of low-income students. Research in Higher Education, 60, 415–436. https://doi.org/10.1007/s11162-018-9517-z
  • Rudolph, C., Lavigne, K., Katz, I., y Zacherb, H. (2017). Career adaptability: A meta-analysis of relationships with measures of adaptivity, adapting responses, and adaptation results. Journal of Vocational Behavior, 98, 17–34. https://doi.org/10.1016/j.jvb.2016.09.002
  • Santana Vega, L.E. (2013). Orientación profesional. Síntesis.
  • Santana Vega, L.E. (2015). Orientación educativa e intervención psicopedagógica. Cambian los tiempos, cambian las responsabilidades profesionales. Pirámide.
  • Santana Vega, L.E., Feliciano García, L., y Jiménez Llanos, A.B. (2016). Apoyo familiar percibido y proyecto de vida del alumnado inmigrante de educación secundaria. Revista de Educación, 372, 35-62.
  • Savickas, M. (2002). Career construction: A developmental theory of vocational behavior. In D. Brown (Ed.), Career choice and development (pp. 149–205). Jossey-Bass.
  • Savickas, M. (2013). Career construction Theory and Practice. In S. Brown y B. Lent (Eds.), Career Development and Counseling. Putting Theory and Research to work (pp. 42-70). John Wiley y Sons Inc.
  • Savickas, M., Nota, L., Rossier, J., Dauwalder, J., Duarte, M., Guichard, J., Soresi, S., Van Esbroek, R., y Van Vianen, A. (2009). Life designing: A paradigm for career construction in the 21st century. Journal of Vocational Behavior, 75(3), 239–250. https://doi.org/10.1016/j.jvb.2009.04.004
  • Savickas, M., y Porfeli, E. (2012). Career Adapt-Abilities Scale: Construction, reliability, and measurement equivalence across 13 countries. Journal of Vocational Behavior, 80(3), 661-673. https://doi.org/10.1016/j.jvb.2012.01.011
  • Sawyer, S., Azzopardi, P., Wickremarathne, D., y Patton, G. (2018). The age of adolescence. Child and Adolescent Health, 2(3), 223–228. https://doi.org/10.1016/S2352-4642(18)30022-1
  • Stapleton, L., McNeish, D., y Yang, J. (2016). Multilevel and single-level models for measured and latent variables when data are clustered. Educational Psychologist, 51(3–4), 317–330. https://doi.org/10.1080/00461520.2016.1207178
  • Stead, G., LaVeck, L., y Hurtado, S. (2021). Career adaptability and career decision self-efficacy: Meta-analysis. Journal of Career Development, 49(4), 951-964. https://doi.org/10.1177/08948453211012477
  • Tabachnick, B. G., y Fidell, L. S. (2014). Using multivariate statistics (6th ed.). Pearson.
  • Vallerand, R. J., Blais, M. R., Brierè, N. M., y Pelletier, L. G. (1989). Construction et validation de l’Échelle de Motivation en Éducation (EME). Revue Canadienne Des Sciences Du Comportement, 21, 323–349. https://doi.org/10.1037/h0079855
  • Viola, M., Muso, P., Ongoglia, S., Lo Coco, A., y Inguglia, C. (2017). Relationships between career indecision, search for work self-efficacy, and psychological well-being in italian never-employed young adults. Europe’s Journal of Psychology, 13(2), 231-250. https://doi:10.5964/ejop.v13i2.1277
  • Walther, A., Warth, A., Ule, M., y du Bois-Reymond, M. (2015). ‘Me, my education and I’: Constellations of decision-making in young people’s educational trajectories. International Journal of Qualitative Studies in Education, 28, 349–371. http://dx.doi.org/10.1080/09518398.2014.987850
  • Wehmeyer, M., Nota, L., Soresi, S., Shogren, K., Morningstar, M. Ferrari, L., Sgaramella, T., y DiMaggio, I. (2019). A crisis in career development: Life designing and implications for transition. Career Development and Transition for Exceptional Individuals, 42(3), 179-187. https://doi.org/10.1177/2165143417750092
  • Yon, K.J., Joeng, J-R., y Goh, M. (2012). A longitudinal study of career maturity of Korean adolescents: the effects of personal and contextual factors. Asia Pacific Education Review, 13(4), 727-739. https://doi.org/10.1007/s12564-012-9232-y