Homework amount, time spent and time management: a latent profile analysis in secondary education

Authors

DOI:

https://doi.org/10.5944/educxx1.39364

Keywords:

homework, secondary education, profiles, student behavior, student motivation, cognitive style

Abstract

Previous research suggests that the amount of homework done, the time spent on it, or even how that time is managed, are not positively related to higher academic performance when taken individually. Therefore, the main purpose of this study is to identify student profiles, defined on the basis of the amount of homework they complete, the time they spend doing it, and the management of that time. The aim is to verify the various combinations that occur within the participants with respect to behavioral involvement in academic tasks performed at home, integrating a person-centered perspective and not taking the variables independently. Once potential profiles have been identified, defined and characterized, the aim is to find out what their differences are at an affective-motivational and cognitive level and also with respect to academic performance. The sample is composed of 1935 students of Compulsory Secondary Education (ESO) from 22 schools in Galicia and Asturias. Three behavioral involvement profiles have been identified according to their level of involvement: medium-high, medium, and low. In turn, these three profiles are differently related to intrinsic motivation, anxiety, approach to learning, and academic performance. Specifically, the higher the level of behavioral involvement, the higher the intrinsic motivation, the lower the homework anxiety, the deeper the homework approach, and the higher the academic performance. In conclusion, we discuss the need to take into account, at least, these three behavioral involvement variables –amount of homework completed by the student, time spent, and time management– according to the profiles found to be able to ensure optimal personal homework work conditions and good academic achievement.

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References

Ato, M., López, J. J., & Benavente, A. (2013). Un sistema de clasificación de los diseños de investigación en psicología. Anales de Psicología, 29(3), 1038-1059. https://doi.org/10.6018/analesps.29.3.178511

Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Lawrence Erlbaum.

Cooper, H. (1989). Homework. Longman. https://doi.org/10.1037/11578-000

Estévez, I., Regueiro, B., Rodríguez, S., Piñeiro, I., Souto, A., & González-Sanmamed, M. (2018). Why students of Secondary Education complete more homework? European Journal of Investigation in Health, Psychology and Education, 8(1), 15-21. https://doi.org/10.30552/ejihpe.v8i1.222

Finney, S. J., & DiStefano, C. (2013). Nonnormal and categorical data in structural equation modeling. En G. R. Hancock & R. O. Mueller (Eds.), Structural equation modeling: a second course (pp. 439-492). Information Age Publishing Inc.

Flunger, B., Trautwein, U., Nagengast, B., Lüdtke, O., Niggli, A., & Schnyder, I. (2017). A person-centered approach to homework behavior: students’ characteristics predict their homework learning type. Contemporary Educational Psychology, 48, 1-15. https://doi.org/10.1016/j.cedpsych.2016.07.002

Fong, C. J., Patall, E. A., Vasquez, A. C., & Stautberg, S. (2019). A Meta-Analysis of Negative Feedback on Intrinsic Motivation. Educational Psychology Review, 31(1), 121-162. https://doi.org/10.1007/s10648-018-9446-6

González-Pienda, J. A. (2003). El rendimiento escolar. Un análisis de las variables que lo condicionan. Revista Galego-portuguesa de Psicoloxía e Educación, 8(7), 247-258. https://ruc.udc.es/dspace/handle/2183/6952

Hickendorff, M., Edelsbrunner, P. A., McMullen, J., Schneider, M., & Trezise, K. (2018). Informative tools for characterizing individual differences in learning: Latent class, latent profile, and latent transition analysis. Learning and Individual Differences, 66, 4-15. https://doi.org/10.1016/j.lindif.2017.11.001

Hipp, J. R., & Bauer, D. J. (2006). Local solutions in the estimation of growth mixture models. Psychological Methods, 11(1), 36-53. https://doi.org/10.1037/1082-989X.11.1.36

Kalenkoski, C. M., & Pabilonia, S. W. (2017). Does high school homework increase academic achievement? Education Economics, 25(1), 45-59. https://doi.org/10.1080/09645292.2016.1178213

Lanza, S. T., & Cooper, B. R. (2016). Latent Class Analysis for Developmental Research. Child Development Perspectives, 10(1), 59-64. https://doi.org/10.1111/cdep.12163

Lanza, S. T., Flaherty, B. P., & Collins, L. M. (2003). Latent class and latent transition analysis. En J. A. Schinka & W. F. Velicer (Eds.), Handbook of psychology: research methods in psychology (pp. 663-685). John Wiley & Sons, Inc.

Lo, Y., Mendell, N. R., & Rubin, D. B. (2001). Testing the number of components in a normal mixture. Biometrika, 88(3), 767-778. https://doi.org/10.1093/biomet/88.3.767

Magalhães, P., Ferreira, D., Cunha, J., & Rosário, P. (2020). Online vs traditional homework: a systematic review on the benefits to students’ performance. Computers & Education, 152, 1-17. https://doi.org/10.1016/j.compedu.2020.103869

Muthén, L. K., & Muthén, B. O. (s. f.). Mplus user’s guide (6th ed.). Muthén & Muthén.

Núñez, J. C., Suárez, N., Rosário, P., Vallejo, G., Valle, A., & Epstein, J. L. (2015). Relationships between perceived parental involvement in homework, student homework behaviors, and academic achievement: differences among elementary, junior high, and high school students. Metacognition and Learning, 10(3), 375-406. https://doi.org/10.1007/s11409-015-9135-5

OCDE. (2013). PISA 2012 Results: what makes schools successful (v. 4). OECD Publishing. https://doi.org/10.1787/9789264201156-en

Özyildirim, G. (2022). Time spent on homework and academic achievement: a meta-analysis study related to results of TIMSS. Psicología Educativa, 28(1), 13-21. https://doi.org/10.5093/psed2021a30

Regueiro, B. (2018). Metas académicas, deberes escolares y aprendizaje en estudiantes de secundaria [Tesis Doctoral, Universidade da Coruña]. Repositorio Institucional de la Universidade da Coruña. http://hdl.handle.net/2183/21560

Regueiro, B., Núñez, J. C., Valle, A., Piñeiro, I., Rodríguez, S., & Rosário, P. (2016). Motivational profiles in high school students: differences in behavioural and emotional homework engagement and academic achievement. International Journal of Psychology, 53(6), 449-457. https://doi.org/10.1002/ijop.12399

Rodríguez, S., Núñez, J. C., Valle, A., Freire, C., Ferradás, M. del M., & Rodríguez-Llorente, C. (2019). Relationship between students’ prior academic achievement and homework behavioral engagement: the mediating/moderating role of learning motivation. Frontiers in Psychology, 10, 1047. https://doi.org/10.3389/fpsyg.2019.01047

Rodríguez, S., Piñeiro, I., Regueiro, B., & Estévez, I. (2020). Intrinsic motivation and perceived utility as predictors of student homework engagement. Revista de Psicodidáctica (English ed.), 25(2), 93-99. https://doi.org/10.1016/j.psicoe.2019.11.001

Rosário, P., Mourão, R., Núñez, J. C., González-Pienda, J. A., & Solano, P. (2006). Escuela-familia: ¿Es posible una relación recíproca y positiva? Papeles del Psicólogo, 27(3), 171-179. http://hdl.handle.net/1822/11908

Suárez, N., Fernández, E., Regueiro, B., Rosário, P., Xu, J., & Núñez, J. C. (2022). Parental Involvement in Homework During Covid-19 Confinement. Psicothema, 34(3), 421-428. https://doi.org/https://doi.org/10.7334/psicothema2021.532

Suárez, N., Regueiro, B., Estévez, I., Ferradás, M. del M., Guisande, M. A., & Rodríguez, S. (2019). Individual precursors of student homework behavioral engagement: the role of intrinsic motivation, perceived homework utility and homework attitude. Frontiers in Psychology, 10, 941. https://doi.org/10.3389/fpsyg.2019.00941

Valle, A., Pan, I., Núñez, J. C., Rosário, P., Rodríguez, S., & Regueiro, B. (2015). Deberes escolares y rendimiento académico en Educación Primaria. Anales de Psicología, 31(2), 562-569. https://doi.org/10.6018/analesps.31.2.171131

Valle, A., Pan, I., Regueiro, B., Suárez, N., Tuero, E., & Nunes, A. R. (2015). Predicting approach to homework in Primary school students. Psicothema, 27(4), 334-340. https://doi.org/10.7334/psicothema2015.118

Valle, A., Piñeiro, I., Rodríguez, S., Regueiro, B., Freire, C., & Rosário, P. (2019). Time spent and time management in homework in elementary school students: a person-centered approach. Psicothema, 31(4), 422-428. https://doi.org/10.7334/psicothema2019.191

Valle, A., Regueiro, B., Núñez, J. C., Rodríguez, S., Piñeiro, I., & Rosário, P. (2016). Academic goals, student homework engagement, and academic achievement in elementary school. Frontiers in Psychology, 7, 463. https://doi.org/10.3389/fpsyg.2016.00463

Valle, A., & Rodríguez, S. (2020). MITCA: homework implementation method. Servicio de Publicaciones. Universidad de A Coruña. https://doi.org/10.17979/spudc.9788497496360

Vermunt, J. K. & Magidson, J. (2021). How to perform three-step Latent Class Analysis in the presence of measurement non-invariance or differential item functioning. Structural Equation Modeling: A Multidisciplinary Journal, 28(3), 356-364. https://doi.org/10.1080/10705511.2020.1818084

Vieites, T., Díaz-Freire, F. M., Rodríguez, S., Rodríguez-Llorente, C., & Valle, A. (2023). Effects of a homework implementation method (MITCA) on school engagement. European Journal of Psychology of Education. https://doi.org/10.1007/s10212-023-00743-z

Vieites, T., Regueiro, B., Rodríguez-Llorente, C., & Morado, T. (2023). Cantidad y calidad del tiempo dedicado a los deberes escolares en alumnado de Educación Secundaria. Un análisis de perfiles latentes. Revista de Investigación Educativa, 41(2), 439-454. https://doi.org/https://doi.org/10.6018/rie.544491

Xu, J. (2012). Predicting students’ homework environment management at the secondary school level. Educational Psychology, 32(2), 183-200. https://doi.org/10.1080/01443410.2011.635639

Xu, J. (2018). Reciprocal effects of homework self-concept, interest, effort, and math achievement. Contemporary Educational Psychology, 55, 42-52. https://doi.org/10.1016/j.cedpsych.2018.09.002

Xu, J. (2022). More than minutes: A person-centered approach to homework time, homework time management, and homework procrastination. Contemporary Educational Psychology, 70, 1-12. https://doi.org/10.1016/j.cedpsych.2022.102087

Xu, J., Du, J., Wu, S., Ripple, H., & Cosgriff, A. (2018). Reciprocal effects among parental homework support, effort, and achievement? An empirical investigation. Frontiers in Psychology, 9(2334), 1-10. https://doi.org/10.3389/fpsyg.2018.02334

Xu, J., & Núñez, J. C. (2023). Homework purposes in eighth grade students: Identifying student profiles and their relationship with homework effort, completion, and cchievement. Psicothema, 35(2), 111-118. https://hdl.handle.net/11162/247570

Additional Files

Published

2025-01-06

How to Cite

Rodríguez, S., Vieites, T., Rodríguez-Llorente, C., Valle, A., & Núñez, J. C. (2025). Homework amount, time spent and time management: a latent profile analysis in secondary education. Educación XX1, 28(1), 155–177. https://doi.org/10.5944/educxx1.39364

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Estudios

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