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The Causes of School Failure in Secondary School Students: Validation of a Psychosocial Model with Structural Equations

Published online by Cambridge University Press:  20 November 2017

Fernando Chacón Fuertes  and
Carlos A. Huertas Hurtado
Fernando Chacón Fuertes
Affiliation:
Universidad Complutense (Spain)
Carlos A. Huertas Hurtado*
Affiliation:
Universidad de San Buenaventura (Colombia)
*
*Correspondence concerning this paper should be addressed to Carlos Alberto Huertas. Universidad de San Buenaventura, Facultad de Psicología. Medellín (Colombia). E-mail: huertas07@gmail.com
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Abstract

The objective of the study was to determine the causal effects of school failure (SF) among secondary school students, belonging to five public schools within the region of Girardota, Colombia, through the validation of a psychosocial model with structural equations. A total of 319 students, 25% more males, enrolled in classes between 6th and 11th year, with an average age of 14 years. Furthermore, 265 parents and 200 teachers were also included in the sample. Participants answered the questions raised in 9 instruments. Of the total number of students, 63.8% were surveyed. The instruments were subjected to a pilot test and to the judgment of experts. In order to reduce the amount of data, exploratory and confirmatory factorial analyses were used. Other techniques of multivariate analysis such as decision trees and linear regressions were also used in order to previously evaluate the relationships between the independent variables (IV) and the dependent variable (DV). Afterwards, the Full SEM was calculated, yielding a model consisting of 34 variables (10 latent and 24 observable), with the following indexes of goodness of fit: CMIN/DF = 1.146, p = .058, IFI = 0.974, TLI = .970, CFI = .974, RMSEA = .027 and PCLOSE = 0.998. Theoretically, the model confirms the predictive value of the selected variables, with respect to school failure. The results are applicable to both the design of educational policies and the direct intervention in the classroom. In both contexts, strategies can be developed that reduce factors that negatively affect school performance, actively linking students, teachers and parents.

Keywords

modeling with structural equationsschool failuresecondary education
Type
Research Article
Information
The Spanish Journal of Psychology , Volume 20 , 2017 , E62
Copyright
Copyright © Universidad Complutense de Madrid and Colegio Oficial de Psicólogos de Madrid 2017 

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Footnotes

How to cite this article:

Chacón Fuertes, F., & Huertas Hurtado, C. A. (2017). The causes of school failure in secondary school students: Validation of a psychosocial model with structural equations. The Spanish Journal of Psychology, 20. e62. Doi:10.1017/sjp.2017.60

References

Adebule, S. O. (2014). Self concept and academic performance in mathematics among secondary school students in Ekiti–State. Scholars Journal of Engineering and Technology (SJET), 2(3A), 348–351.Google Scholar
Alcalá, R. (2011). ¿Los hábitos de estudio, útiles ante el fracaso escolar? [Are study habits useful to avoid school failure?]. Innovación y Experiencias Educativas, 41, 1–13.Google Scholar
Álvaro, M., Bueno, M., Calleja, J., Cerdán, J., Echeverría, M., García, C., … Trillo, C. (1990). Hacia un modelo causal del rendimiento académico [Towards a casual model of academic performance]. Madrid, Spain: CIDE.Google Scholar
Alloway, T. P., & Passolunghi, M. C. (2011). The relationship between working memory, IQ, and mathematical skills in children. Learning and Individual Differences, 21(1), 133–137. https://doi.org/10.1016/j.lindif.2010.09.013 CrossRefGoogle Scholar
Baron, R. M, & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic and statistical considerations. Journal of Personality and Social Psychology, 51, 1173–1182. https://doi.org/10.1037/0022-3514.51.6.1173 CrossRefGoogle ScholarPubMed
Barrera-Osorio, F., Maldonado, D., & Rodríguez, C. (2012). Calidad de la educación básica y media en Colombia: diagnóstico y propuestas [The quality of primary and secondary education in Colombia: Diagnosis and proposals]. Serie Documentos de Trabajo, 126. Retrieved from Universidad del Rosario website: http://www.urosario.edu.co/urosario_files/7b/7b49a017-42b0-46de-b20f-79c8b8fb45e9.pdf Google Scholar
Batista, J., & Coenders, G. (2000) Modelos de ecuaciones estructurales [Structural equation models]. Madrid, Spain: Editorial La Muralla.Google Scholar
Baumrind, D. (1980). New directions in socializations research. American Psychologist, 35, 639–652. https://doi.org/10.1037/0003-066X.35.7.639 CrossRefGoogle Scholar
Boudrenghien, G., Eccles, J. S., Frenay, M., Bourgeois, E., & Karabenick, S. (2014). A theoretical model of the antecedents of educational goal commitment. The Canadian Journal of Career Development, 13(1), 60–69.Google Scholar
Butti, F. (1998). Representaciones sociales de los maestros y fracaso escolar. Hacia una propuesta metodológica [Social representations of teachers and school failure. Towards a methodological proposal]. Rosario, Argentina: Instituto de Ciencias de la Educación.Google Scholar
Casas, M. (2002). Los modelos de ecuaciones estructurales y su aplicación en el índice europeo de satisfacción del cliente [Structural equation models and their application in the European index of customer satisfaction]. Rect@. Actas_10.Google Scholar
Chan, T. W., & Koo, A. (2011). Parenting style and youth outcomes in the UK. European Sociological Review, 27, 385–399. https://doi.org/10.1093/esr/jcq013 CrossRefGoogle Scholar
Creemers, B. (1994). The effective classroom. London, UK: Casset.Google Scholar
Domínguez, M., & Guash, M. (2014) Influencia de las dimensiones de socialización parental en el rendimiento académico de los estudiantes de secundaria [Influence of parental socialization on the academic performance of secondary school students]. Multidisciplinary Journal of Educational Research, 4(2), 182–210. https://doi.org/10.4471/remie.2014.10 Google Scholar
EUROSTAT, (2016). Tasa de abandono escolar prematuro de la población total de 18–24 años [Premature school drop-out rates among the total population of 18–24 year-olds]. Retrieved from Euskal Estitistika Erakundea website http://www.eustat.eus/elementos/ele0006800/ti_Tasa_de_abandono_es%20colar_prematuro_de_la_poblacion_total_de_18-24_a%C3%B1os/tbl0006878_c.html#axzz4aGc4OyZB Google Scholar
Goleman, D. (1995). Inteligencia emocional [Emotional intelligence]. Barcelona, Spain: Kairós.Google Scholar
González, C. (2003). Factores determinantes del bajo rendimiento en educación secundaria [Determinant factors of low achievement in secondary education] (Unpublished doctoral dissertation). Universidad Complutense, Madrid, Spain.Google Scholar
Gonzalez-Pienda, J. A. (2003). El rendimiento escolar. Un análisis de las variables que lo condicionan [School performance. Analysis of the variables that affect it]. Revista Galego-Portuguesa de Psicoloxía e Educación, 7(8), 247–258.Google Scholar
Hernández, F., & Tort, A. (2009). Cambiar la mirada sobre el fracaso escolar desde la relación de los jóvenes con el saber [Changing the view on school failure from the relationship of young people with knowledge]. Revista Iberoamericana de Educación, 49(8), 1–11.CrossRefGoogle Scholar
Huertas, C, (2013). Validación de cinco escalas sobre rendimiento escolar [Validation of five scales regarding school performance]. Working paper.Google Scholar
Huston, A. C., & Rosenkrantz, S. (2005). Mother’s time with infant and time in employment as predictors of mother-child relationships and children’s early development. Child Development, 76(29), 467–482. https://doi.org/10.1111/j.1467-8624.2005.00857.x CrossRefGoogle ScholarPubMed
Jiménez, M. I., & López-Zafra, E. (2009). Inteligencia emocional y rendimiento escolar: estado actual de la cuestión [Emotional intelligence and school performance: An updated overview]. Revista Latinoamericana de Psicología, 41(1), 69–79.Google Scholar
Kit, I. (2004). La expansión de las oportunidades de educación de la población en situación de pobreza [The expansion of the educational opportunities of the poor population]. Buenos Aires, Argentina: Unicef.Google Scholar
Manassero, M., & Vázquez, A (1998). Validación de una escala de motivación de logro [Validation of an achievement motivation scale]. Psicothema, 10(2), 333–351.Google Scholar
Madrigal, C., Díaz, A., Cuevas, C., Nova, C., & Bravo, I. (2011). Clima social escolar en el aula y vínculo profesor-alumno: alcances, herramientas de evaluación, y programas de intervención [Social school climate in the classroom and the link professor-student: Scopes, evaluation tools, and intervention programs]. Revista Electrónica de Psicología Iztacala, 14(3), 70–84.Google Scholar
Mendezabal, M. J. N. (2013). Study habits and attitudes: The road to academic success. Open Science Repository Education, e70081928. https://doi.org/10.7392/Education.70081928 Google Scholar
Murillo, F. J. (2008). Hacia un modelo de eficacia escolar. Estudio multinivel sobre los factores de eficacia de las escuelas españolas [Towards a school effectiveness model. Multilevel study on the factors of effectiveness of Spanish schools]. Revista Iberoamericana sobre Calidad, Eficacia y Cambio en Educación, 6(1), 4–28.Google Scholar
Musito, G., García, F. y Gutiérrez, M. (1997). AFA: Autoconcepto Forma A [AFA: Autoconcept Form A]. Madrid, Spain: Tea.Google Scholar
Nayernia, A. (2013). A review of structural equation modeling and its application in language education research. The Modern Journal of Applied Linguistics, 5(3), 172–198.Google Scholar
Oliva, A., & Pertegal, M. (2012). Family variables and academic achievement in adolescence. Estudios de Psicología, 33(1), 51–65.Google Scholar
Pearl, J. (2014). Interpretation and identification of causal mediation. Psychological Methods, 19, 459–481. https://doi.org/10.1037/a0036434 CrossRefGoogle ScholarPubMed
Perrenoud, P. (1970). Stratification socio-culturelle et réussite scolaire. Les defaillances de l’explication causales [Socio-cultural stratification and academic success. The failures of causal explanations]. Geneva, Switzerland: Librairie Droz.Google Scholar
Prado, V. M., Ramirez, M. L., & Ortiz, M. S. (2010). Adaptación y validación de la Escala de Clima Social Escolar (CES) [Adaptation and validation to the Scale of School Social Climate (CES)] Revista Electrónica de Actualidades Investigadoras en Educación, 10(2), 1–13. https://doi.org/10.15517/aie.v10i2.10121 Google Scholar
Robledo, P., & García, J N., (2009). El entorno familiar y su influencia en el rendimiento académico de los alumnos con dificultades de aprendizaje: revisión de estudios empíricos [The family environment and their influence in academic achievement of students with learning disabilities: Review of empirical studies]. Aula abierta, 37(1), 117–128.Google Scholar
Sammons, P., Thomas, S., & Mortimore, P. (1997). Forging links: Effective schools and effective departments. London, UK: Paul Chapman Publishing.Google Scholar
Scheerens, J. (1990). School effectiveness research and the development of process indicators of school functioning. School Effectiveness and School Improvement, 1(1), 61–80. https://doi.org/10.1080/0924345900010106 CrossRefGoogle Scholar
Schmeck, R. R., Geisler-Brenstein, E., & Cercy, S. P. (1991). Self-concept and learning: The revised inventory of learning processes. Educational Psychology, 11, 343–362. https://doi.org/10.1080/0144341910110310 CrossRefGoogle Scholar
Stringfield, S. C., & Slavin, R. E. (1992). A hierarchical longitudinal model for elementary school effects. In Creemers, B. P. M. & Reezigt, G. J. (Eds.), Evaluation of educational effectiveness (pp. 35–69). Groningen, The Netherlands: IC.Google Scholar
Troncone, A., Drammis, M., & Labella, A. (2014). Personality traits, self-esteem and academic achievement in secondary school students in Campania, Italy. Universal Journal of Educational Research, 2, 512–520.CrossRefGoogle Scholar
UNESCO, (2012). Global education digest. Montreal, Canada: UNESCO Institute for Statistics.Google Scholar
van den Bergh, L., Denessen, E., Hornstra, L., Voeten, M., & Holland, Rob. (2010). The implicit prejudiced attitudes of teachers: Relations to teacher expectations and the ethnic achievement gap. American Educational Research Journal, 47, 497–527. https://doi.org/10.3102/0002831209353594 CrossRefGoogle Scholar
Walkey, F. H., McClure, J., Meyer, L. H., & Weir, K. F. (2013). Low expectations equal no expectations: Aspirations, motivation, and achievement in secondary school. Contemporary Educational Psychology, 38, 306–315. https://doi.org/10.1016/j.cedpsych.2013.06.004 CrossRefGoogle Scholar
Wang, M., & Eccles, J. S. (2013). School context, achievement motivation, and academic engagement: A longitudinal study of school engagement using a multidimensional perspective. Learning and Instruction, 28, 12–23. https://doi.org/10.1016/j.learninstruc.2013.04.002 CrossRefGoogle Scholar
Weiner, B. (1985). An attributional theory of motivation and emotion. Psychological Review. 92, 548–573.CrossRefGoogle ScholarPubMed
Weinstein, C. E., Zimmerman, B. J., & Palmer, D. R. (1988). Assessing learning strategies: The design and development of the LASSI. In Goetz, E. T. & Alexander, P. A. (Eds.), Learning and study strategies. Issues in assessment, instruction and evaluation (pp. 25–40). San Diego, CA: Academic Press.Google Scholar
Wright, C., Standen, P., & Patel, T. (2014). Black youth matters: Transitions from school to success. London, UK: Routledge.Google Scholar