Time spent and time management in homework in elementary school studentsA person-centered approach

  1. Antonio Valle 1
  2. Isabel Piñeiro 1
  3. Susana Rodríguez 1
  4. Bibiana Regueiro 1
  5. Carlos Freire 1
  6. Pedro Rosário 2
  1. 1 Universidade da Coruña
    info

    Universidade da Coruña

    La Coruña, España

    ROR https://ror.org/01qckj285

  2. 2 Universidade do Minho
    info

    Universidade do Minho

    Braga, Portugal

    ROR https://ror.org/037wpkx04

Revista:
Psicothema

ISSN: 0214-9915 1886-144X

Año de publicación: 2019

Volumen: 31

Número: 4

Páginas: 422-428

Tipo: Artículo

Otras publicaciones en: Psicothema

Resumen

Background: Based on a person-centered approach, the aim ofthis study is to identify different profiles of students based on the time they spend on homew he differences between them in the amount of homework done and academic achievement. Method: With a sample of 968 students of Primary Education analysis of latent profiles (LPA) and ANOVA were carried out. Once the student profiles were identified, a MANOVA was conducted to analyze the differences between the motivational profiles in the amount of homework assignments done and in academic achievement. Results: We differentiated four profiles of students that differentially combine the time they dedicate to their homework and the use they make of that time. Conclusions: Of the profiles identified, two can be considered more effective (those that manage time better), and two can be classified as less effective (those that manage time worse). The two profiles that best manage the time spent on homework are also those that do the most homework, and have higher academic achievement. Likewise, the two profiles of students who manage time worst are those who do the least homework, and who have lower academic achievement.

Información de financiación

This work was carried out thanks to the funding of the research projects EDU2013-44062-P (MINECO) and EDU2017-82984-P (MEIC).

Financiadores

Referencias bibliográficas

  • Bergman, L. R., & Magnusson, D. (1991). Stability and change in patterns of extrinsic adjustment problems. In D. Magnusson, L. R. Bergman, G. Rudinger, & B. Torestad (Eds.), Problems and methods in longitudinal research: Stability and change (pp. 323–346). Cambridge, UK: Cambridge University Press.
  • Bergman, L. R., Magnusson, D., & El Khouri, B. (2003). Studying individual development in an interindividual context: A person-oriented approach. Mahwah, NJ: Lawrence Erlbaum Associates.
  • Chang C. B., Wall D., Tare M., Golonka E., & Vatz K. (2014). Relations of attitudes toward homework and time spent on homework to course outcomes: The case of foreign language learning. Journal of Educational Psychology, 106, 1049-1065. doi: 10.1037/a0036497
  • Claessens, B. J. C., van Eerde, W., Rutte, C. G., & Roe, R. A. (2007). A review of the time management literature. Personnel Review, 36, 255−276. doi: 10.1108/00483480710726136
  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Hillsdale, NJ: Lawrence Erlbaum.
  • Eilam, B. (2001). Primary strategies for promoting homework performance. American Educational Research Journal, 38, 691−725. doi: 10.3102/00028312038003691
  • INE (2016). Encuesta de condiciones de vida 2016 [Survey of living conditions 2016]. Madrid: Instituto Nacional de Estadística.
  • Fan, H., Xu, J., Cai, Z., He, J., & Fan, X. (2017). Homework and students’ achievement in math and science: A 30-year meta-analysis, 1986-2015. Educational Research and Reviews, 20, 35–54. doi: 10.12691/ education-5-4-5.
  • Fernández-Alonso, R., Suárez-Álvarez, J., & Muñiz, J. (2014). Tareas escolares en el hogar y rendimiento en matemáticas: una aproximación multinivel con estudiantes de enseñanza primaria. [Homework and academic performance in mathematics: A multilevel approach with primary school students]. Revista de Psicología y Educación, 9, 15–29.
  • Fernández-Alonso, R., Álvarez-Díaz, M., Suárez-Álvarez, J., & Muñiz, J. (2017). Students’ achievement and homework assignment strategies. Frontiers in Psychology, 8, 286. doi: 10.3389/fpsyg.2017.00286
  • Flunger, B., Trautwein, U., Nagengast, B., Lüdtke, O., Niggli A., & Schnyder, I. (2015). The Janus-faced nature of time spent on homework: Using latent profile analyses to predict academic achievement over a school year. Learning and Instruction, 39, 97-106. doi: 10.1016/j.learninstruc.2015.05.008
  • 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. doi: 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. doi: 10.1037/1082-989X.11.1.36
  • Lanza, S. T., & Cooper, B. R. (2016). Latent class analysis for developmental research. Child Development Perspectives, 10, 59–64. doi: 10.1111/ cdep.12163
  • Lanza, S. T., Flaherty, B. P., & Collins, L. M. (2003). Latent class and latent transition analysis. In J. A. Schinka & W. F. Velicer (Eds.), Handbook of Psychology: Research methods in psychology (Vol. 2, pp. 663-685). Hoboken, NJ: John Wiley & Sons.
  • Lo, Y., Mendell, N. R., & Rubin, D. B. (2001). Testing the number of components in a normal mixture. Biometrika, 88(3), 767-778. doi: 10.1093/biomet/88.3.767
  • Misra, R., & McKean, M. (2000). College students’ academic stress and its relation to their anxiety, time management, and leisure satisfaction. American Journal of Health Studies, 16(1), 41. doi:10.4236/ce.2015.61007
  • Muthén, L. K., & Muthén, B. O. (1998–2012). Mplus user’s guide (6th ed.). Los Angeles, CA: Muthén & Muthén.
  • Núñez, J. C., Suárez, N., Cerezo, R., González-Pienda, J. A., Rosário, P., Mourão, R., & Valle, A. (2015). Homework and academic achievement across Spanish Compulsory Education. Educational Psychology, 35(6), 726-746. doi: 10.1080/01443410.2013.817537
  • Núñez, J. C., Suárez, N., Rosário, P., Vallejo, G., Cerezo, R., & Valle, A. (2015). Teachers’ feedback on homework, homework-related behaviors and academic achievement. The Journal of Educational Research, 108(3), 204-216. doi: 10.1080/00220671.2013.878298
  • Núñez, J. C., Suárez, N., Rosário, P., Vallejo, G., Valle, A., & Epstein, J. L. (2015). Relationships between parental involvement in homework, student homework behaviors, and academic achievement: Differences among elementary, junior high, and high school students. Metacognition and Learning, 10, 375-406. doi:
  • Núñez, J. C., Vallejo, G., Rosário, P., Tuero, E., & Valle, A. (2014). Student, teacher, and school context variables predicting academic achievement in biology: Analysis from a multilevel perspective. Revista de Psicodidáctica, 19, 145–171. doi: 10.12691/education-5-4-5
  • Paschal, R. A., Weinstein, T., & Walberg, H. J. (1984). The effects of homework on learning: A quantitative synthesis. The Journal of Educational Research, 78, 97–104. doi: 10.1080/00220671.1984.10885581
  • Regueiro, B., Suárez, N., Estévez, I., Rodríguez, S., Piñeiro, I., & Valle, A. (2018). Homework and academic achievement: a comparative study between immigrant and native students. Revista de Psicología y Educación, 13, 92–98. doi: 10.23923/rpye2018.01.160
  • Rosário, P. Mourão, R., Trigo, L., Suárez, N., Fernández, E., & Tuero-Herrero, E. (2011). English as a foreign language (EFL) homework diaries: Evaluating gains and constraints for self-regulated learning and achievement. Psicothema, 23(4), 881-887.
  • Rosário, P., Núñez, J. C., Vallejo, G., Cunha, J., Nunes, T., Suárez, N., Fuentes. S., & Moreira, T. (2015). The effects of teachers’ homework follow-up practices on students’ EFL performance: A randomized-group design. Frontiers in Psychology, 6, 1528. doi:10.3389/ fpsyg.2015.01528
  • Trautwein, U. (2007). The homework-achievement relation reconsidered: Differentiating homework time, homework frequency, and homework effort. Learning and Instruction, 17, 372–388. doi: 10.1016/j.learninstruc.2007.02.009
  • Trautwein, U., Lüdtke, O., Schnyder, I., & Niggli, A. (2006). Predicting homework effort: Support for a domain-specific, multilevel homework model. Journal of Educational Psychology, 98, 438-456. doi: 10.1037/0022-0663.98.2.438
  • Valle, A., Pan, I., Núñez, J. C., Rosário, P., Rodríguez, S., & Regueiro, B. (2015). Homework and academic achievement in Primary Education. Anales de Psicología, 31(2), 562-569. doi: 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. doi: 10.7334/psicothema2015.118
  • Xu, J. (2005). Purposes for doing homework reported by middle and high school students. Journal of Educational Research, 99, 46-55. doi: 10.3200/JOER.99.1.46-55
  • Xu, J. (2010). Predicting homework time management at the secondary school level: A multilevel analysis. Learning and Individual Differences, 20(1), 34-39. doi: 10.1016/j.lindif.2009.11.001