Exploración de diferencias de género en los predictores de dominio general y específico de las habilidades matemáticas tempranas

  1. Estíbaliz Aragón Mendizábal
  2. José I. Navarro Guzmán
Revista:
Suma Psicológica

ISSN: 0121-4381

Año de publicación: 2016

Volumen: 23

Número: 2

Páginas: 71-79

Tipo: Artículo

DOI: 10.1016/J.SUMPSI.2016.04.001 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Suma Psicológica

Resumen

El objetivo de este trabajo consistió en el estudio de las diferencias de género en el conocimiento matemático temprano y en sus variables predictoras en 200 alumnos de 5años de edad. Se evaluaron como variables de dominio general: alfabetización emergente, inteligencia fluida, memoria de trabajo y a corto plazo y funciones ejecutivas. Los contrastes estadísticos no arrojaron diferencias significativas entre niños y niñas. El análisis discriminante no mostró un patrón característico en función del género. Sin embargo, el análisis de regresión lineal por pasos indicó que aunque la alfabetización emergente y la inteligencia fluida explicaron la variación en el conocimiento matemático en niños(as), la tercera variable explicativa fue la memoria a corto plazo para las niñas y la memoria de trabajo en niños. Se concluye que las diferencias de género no fueron estadísticamente significativas en relación a las variables predictoras de dominio general y específico en las habilidades matemáticas tempranas.

Referencias bibliográficas

  • Adams, A., Simmons, F. & Willis, C. (2015). Exploring relationships between working memory and writing: Individual differences associated with gender. Learning and Individual Differences, 40, 101–107. http://dx.doi.org/10.1016/j.lindif.2015.04.011
  • Aragón, E., Navarro, J., Aguilar, M. & Cerda, G. (2015). Predictores cognitivos del conocimiento numérico temprano en alumnado de 5 años. Revista de Psicodidáctica, 20(1), 83–97. http://dx.doi.org/10.1387/RevPsicodidact.11088
  • Aragón, E. L., Delgado, I., Aguilar, M., Araújo, A. & Navarro, J. I. (2013). Estudio de la influencia de la inteligencia y el género en la evaluación matemática temprana. European Journal of Education and Psychology, 6(1), 5–18.
  • Bedard, K. & Cho, I. (2010). Early gender test score gaps across OECD countries. Economics of Education Review, 29, 348–363. http://dx.doi.org/10.1016/j.econedurev.2009.10.015
  • Below, J. L., Skinner, C. H., Fearrington, J. Y. & Sorrell, C. A. (2010). Gender differences in early literacy: Analysis of kindergarten through fifth-grade dynamic indicators of basic early literacy skills probes. School Psychology Review, 39(2), 240–257. http://dx.doi.org/10.1177/1098300712459080
  • Bourke, L. & Adams, A.-M. (2011). Is it differences in language skill and working memory that account for girls being better at writing than boys? Journal of Writing Research, 3(3), 249–277. http://dx.doi.org/10.17239/jowr-2012.03.03.5
  • Carr, M. & Davis, H. (2001). Gender differences in arithmetic strategy use: A function of skill and preference. Contemporary Educational Psychology, 26, 330–347.
  • Chen, H., Chen, M. F., Chang, T. S., Lee, Y. S. & Chen, H. P. (2010). Gender reality on multi-domains of school-age children in Taiwan: A developmental approach. Personality and Individual Differences, 48(4), 475–480. http://dx.doi.org/ 10.1016/j.paid.2009.11.027
  • Cirino, P. T. (2011). The interrelationships of mathematical precursors in kindergarten. Journal of Experimental Child Psychology, 108, 713–733. http://dx.doi.org/10.1016/j.jecp.2010.11.004
  • Dickerson, A., McIntosh, S. & Valente, C. (2015). Do the maths: An analysis of the gender gap in mathematics in Africa. Economics of Education Review, 46, 1–22. http://dx.doi.org/10.1016/ j.econedurev.2015.02.005
  • Doris, A., O’Neill, D. & Sweetman, O. (2013). Gender, single-sex schooling and maths achievement. Economics of Education Review, 35, 104–119. http://dx.doi.org/10.1016/ j.econedurev.2013.04.001
  • Freeman, C. E. (2004). Trends in Educational Equity of Girls and Women: 2004 (NCES 2005-016). Washington, DC: U.S. Government Printing Office: U.S. Department of Education, National Center for Education Statistics.
  • Fryer, R. & Levitt, S. (2010). An empirical analysis of the gender gap in mathematics. American Economic Journal: Applied Economics, 2(2), 210–240. http://dx.doi.org/10.1257/app.2.2.210
  • Ganley, C. M. & Vasilyeva, M. (2013). The role of anxiety and working memory in gender differences in mathematics. Journal of Educational Psychology, 106(1), 105–120. http://dx.doi.org/10.1037/a0034099
  • Geary, D. C., Hoard, M. K., Nugent, L. & Bailey, D. H. (2013). Adolescents’ functional numeracy is predicted by their school entry number system knowledge. PLoS ONE, 8(1), e54651. doi:10.1371/journal.pone.0054651.
  • Geiser, W. & Lehmann, M. (2008). A note on sex differences in mental rotation in different age groups. Intelligence, 36(6), 556–563. http://dx.doi.org/10.1016/j.intell.2007.12.003
  • Gray, J., Peng, W., Steward, S. & Thomas, S. (2004). Towards a typology of gender-related school effects: Some new perspectives on a familiar problem. Oxford Review of Education, 30(4), 529–550.
  • Gullick, M. M., Sprute, L. A. & Temple, E. (2011). Individual differences in working memory, nonverbal IQ, and mathematics achievement and brain mechanisms associated with symbolic and nonsymbolic number processing. Learning and Individual Differences, 21, 644–654. http://dx.doi.org/10.1016/j.lindif.2010.10.003
  • Hannula, M. M., Lepola, J. & Lehtinen, E. (2010). Spontaneous focusing on numerosity as a domain-specific predictor of arithmetical skills. Journal of Experimental Child Psychology, 107(4), 394–406. http://dx.doi.org/10.1016/j.jecp.2010.06.004
  • Hanushek, E. A. & Woessman, L. (2008). The role of cognitive skills in economic development. Journal of Economic Literature, 46(3), 607–668. http://dx.doi.org/10.1257/jel.46.3.607
  • Hill, A. C., Laird, A. R. & Robinson, J. L. (2014). Gender differences in working memory networks: A BrainMap meta-analysis. Biological Psychology, 102, 18–29. http://dx.doi.org/10.1016/j.biopsycho.2014.06.008
  • Husain, M. & Millimet, D. (2009). The mythical ‘boy crisis’? Economics of Education Review, 28, 38–48. http://dx.doi.org/10.1016/j.econedurev.2007.11.002
  • Hyde, J. S. (2005). The gender similarities hypothesis. American Psychologist, 60(6), 581–592. http://dx.doi.org/10.1037/ 0003-066X.60.6.581
  • Hyde, J. S., Lindberg, S. M., Linn, M. C., Ellis, A. B. & Williams, C. C. (2008). Gender similarities characterize math performance. Science, 321, 494–495.
  • Jordan, N. C., Kaplan, D., Nabors-Olah, L. & Locuniak, M. (2006). Number sense growth in kindergarten: A longitudinal investigation of children at risk for mathematics difficulties. Child Development, 77(1), 153–175. http://dx.doi.org/10.1111/j. 1467-8624.2006.00862.x
  • Kaufman, S. B. (2007). Sex differences in mental rotation and spatial visualization ability: Can they be accounted for by differences in working memory capacity? Intelligence, 35, 211–223.
  • Keith, T. Z., Reynolds, M. R., Roberts, L. G., Winter, A. L. & Austin, C. A. (2011). Sex differences in latent cognitive abilities ages 5 to 17: Evidence from the differential ability scales—second edition. Intelligence, 39(5), 389–404. http://dx.doi.org/10.1016/j.intell.2011.06.008
  • Lachance, J. & Mazzocco, M. M. M. (2006). A longitudinal analysis of sex differences in math and spatial skills in primary school age children. Learning and Individual Differences, 16(3), 195–216. http://dx.doi.org/10.1016/j.lindif.2005.12.001
  • Lejbak, L., Crossley, M. & Vrbancic, M. (2011). A male advantage for spatial and object but not verbal working memory using the n-back task. Brain and Cognition, 76, 191–196.
  • Levine, S. C., Vasilyeva, M., Lourenco, S. F., Newcombe, N. S. & Huttenlocher, J. (2005). Socioeconomic status modifies the sex difference in spatial skill. Psychological Science, 16, 841–845. http://dx.doi.org/10.1111/j. 1467-9280.2005. 01623.x
  • Lindberg, S. M., Hyde, J. S., Petersen, J. L. & Linn, M. C. (2010). New trends in gender and mathematics performance: A meta-analysis. Psychological Bulletin, 136, 1123–1135. http://dx.doi.org/10.1037/a0021276
  • Navarro, J. I., Aguilar, M., García, M., Menacho, I., Marchena, E. & Alcalde, C. (2010). Diferencias en habilidades matemáticas tempranas en niños y niñas de 4 a 8 años. Revista Española de Pedagogía, 68, 85–98.
  • Navarro, J. I., Aguilar, M., Alcalde, C., Ruiz, G., Marchena, E. & Menacho, I. (2011). Inhibitory processes, working memory, phonological awareness, naming speed, and early arithmetic achievement. Spanish Journal of Psychology, 14(2), 580–588. http://dx.doi.org/10.5209/rev SJOP.2011.v14.n2.6
  • Nayfeld, I., Fuccillo, J. & Greenfield, D. B. (2013). Executive functions in early learning: Extending the relationship between executive functions and school readiness to science. Learning and Individual Differences, 26, 81–88. http://dx.doi.org/10.1016/j.lindif.2013.04.011
  • OECD (2014). Programme for international student assessment PISA 2012. Results in Focus (consultado 3 Ene 2016). Disponible en: http://www.oecd.org/pisa/keyfindings/ pisa-2012-results-overview.pdf
  • Okan, Y., García-Retamero, R. & Muñoz, R. (2015). Habilidades numéricas y salud: una revisión crítica. Revista Latinoamericana de Psicología, 47(2), 111–123. http://dx.doi.org/10.1016/ j.rlp.2015.05.002
  • Östergren, R. & Träff, U. (2013). Early number knowledge and cognitive ability affect early arithmetic ability. Journal of Experimental Child Psychology, 115, 405–421. http://dx.doi.org/10.1016/j.jecp.2013.03.007
  • Palejwala, M. H. & Fine, J. G. (2015). Gender differences in latent cognitive abilities in children aged 2 to 7. Intelligence, 48, 96–108. http://dx.doi.org/10.1016/j.intell.2014.11.004
  • Passolunghi, M. C. & Lanfranchi, S. (2012). Domain-specific and domain-general precursors of mathematical achievement: A longitudinal study from kindergarten to first grade. British Journal of Educational Psychology, 82, 42–63. http://dx.doi.org/10.1111/j. 2044-8279.2011.02039.x
  • Penner, A. M. & Paret, M. (2008). Gender differences in mathematics achievement: Exploring the early grades and the extremes. Social Science Research, 37, 239–253. http://dx.doi.org/10.1016/j.ssresearch.2007.06.012
  • Primi, R., Ferrao, M. E. & Almeida, L. (2010). Fluid intelligence as a predictor of learning: A longitudinal multilevel approach applied to math. Learning and Individual Differences, 20, 445–451. http://dx.doi.org/10.1016/j.lindif.2010.05.001
  • Purpura, D. J. & Ganley, C. M. (2014). Working memory and language: Skill-specific or domain-general relations to mathematics? Journal of Experimental Child Psychology, 122, 104–121. http://dx.doi.org/10.1016/j.jecp.2013.12.009
  • Purpura, D. J., Hume, L. E., Sims, D. M. & Lonigan, C. J. (2011). Early literacy and early numeracy: The value of including early literacy skills in the prediction of numeracy development. Journal of Experimental Child Psychology, 110, 647–658.
  • Raven, J. C. (1996). Raven, matrices progresivas. Escalas CPM Color y SPM General. Madrid, España: TEA Ediciones.
  • Ritter, B. C., Perrig, W., Steinlin, M. & Everts, R. (2014). Cognitive and behavioral aspects of executive functions in children born very preterm. Child Neuropsychology, 20(2), 129–144. http://dx.doi.org/10.1080/09297049.2013.773968
  • Robinson, J. P. & Lubienski, S. T. (2011). The development of gender achievement gaps in mathematics and reading during elementary and middle school: Examining direct cognitive assessments and teacher ratings. American Educational Research Journal, 48(2), 268–302. http://dx.doi.org/10.3102/0002831210372249
  • Schrøter-Joensen, J. & Skyt-Nielsen, H. (2010). Is there a causal effect of high school math on labor market outcomes. The Journal of Human Resources, 44(1), 171–198. http://dx.doi.org/10.1353/jhr.2009.0004
  • Sierra, O. & Ocampo, T. (2013). El papel de la memoria operativa en las diferencias y trastornos del aprendizaje escolar. Revista Latinoamericana de Psicología, 45(1), 63–79.
  • Van der Ven, S. H. G., Kroesbergen, E. H., Boom, J. & Leseman, P. P. M. (2012). The development of executive functions and early mathematics: A dynamic relationship. British Journal of Educational Psychology, 82, 100–119. http://dx.doi.org/10.1111/j. 2044-8279.2011.02035.x
  • Van Luit, J.E.H., Van de Rijt, B.A.M., Araújo, A., Aguilar, M., Aragón, E., Ruiz, G., et al. (en prensa). TEMT-i. Test de Evaluación Matemática Temprana Informatizado. Madrid, España: EOS.
  • Visu-petra, L., Cheie, L. & Benga, O. (2008). Short-term memory performance and metamemory judgments in preschool and early school-age children: A quantitative and qualitative analysis. Cognition, Brain & Behavior, 12(1), 71–101.
  • Viterbori, P., Usai, M. C., Traverso, L. & de Franchis, V. (2015). How preschool executive functioning predicts several aspects of math achievement in Grades 1 and 3: A longitudinal study. Journal of Experimental Child Psychology, 140, 38–55. http://dx.doi.org/10.1016/j.jecp.2015.06.014
  • Watts, T. W., Duncan, G. J., Siegler, R. S. & Davis-Kean, P. E. (2014). What’s past is prologue: Relations between early mathematics knowledge and high school achievement. Educational Researcher, 43, 352–360. http://dx.doi.org/10.3102/0013189X14553660
  • Wechsler, D. (2005). Escala de Inteligencia de Wechsler para niños (WISC-IV). Madrid: TEA Ediciones.
  • Whitehurst, G. J. & Lonigan, C. J. (2003). Get ready to read! Screening tool. New York, NY: National Center for Learning Disabilities.
  • Worell, J. & Goodheart, C. (2006). Handbook of Girls’ and Women’s Psychological Health. New York. NY: Oxford University Press.