Skip to main content

Interrogating the Cultural Capital–Students’ Achievement Relationships

  • Chapter
  • First Online:
Family Cultural Capital and Student Achievement

Part of the book series: SpringerBriefs in Education ((BRIEFSEDUCAT))

  • 712 Accesses

Abstract

This chapter reviews the published literature examining PISA data to derive three key insights on how cultural capital contributes to students’ academic achievement. The first insight provides support for the argument that cultural capital is a complex construct that can be measured using different indicators, that manifests in myriad ways in different societies, that have different influences on students’ learning, and that comprises both highbrow cultural consumption and parental familiarity with school evaluation standards and future job requirements. The second insight highlights the importance of understanding the relationships between cultural capital and students’ academic achievement in a nomological framework comprising cultural capital, habitus, and social fields. The third insight is that different cultural capital variables operate conjunctively, rather than separately, to influence students’ academic achievement. More specifically, they may be mutually reinforcing each other to engender synergy, exhibiting different patterns of association with students’ academic achievement depending on the profiles of students and their families, or compromising each other in their effects.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 16.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Acosta, S., & Hsu, H. Y. (2014). Shared academic values: Testing a model of the association between Hong Kong parents’ and adolescents’ perception of the general value of science and scientific literacy. Educational Studies, 40(2), 174–195.

    Article  Google Scholar 

  • Archer, L., Dawson, E., DeWitt, J., Seakins, A., & Wong, B. (2015). ‘Science capital’: A conceptual, methodological, and empirical argument for extending Bourdieusian notions of capital beyond the arts. Journal of Research in Science Teaching, 52(7), 922–948.

    Article  Google Scholar 

  • Aschbacher, P. R., Ing, M., & Tsai, S. (2013). Boosting student interest in science. Phi Delta Kappan, 95(2), 47–51.

    Article  Google Scholar 

  • Asparouhov, T., & Muthen, B. O. (2013). Auxiliary variables in mixture modeling: A 3-step approach using Mplus (Mplus Web Notes: No: 15). Retrieved March 11, 2019, from https://statmodel.com/examples/webnotes/AuxMixture_submitted_corrected_webnote.

  • Bourdieu, P. (1986). The forms of capital. In J. Richardson (Ed.), Handbook of theory and research for the sociology of education (pp. 241–258). New York, NY: Greenwood Press.

    Google Scholar 

  • Crosnoe, R., & Muller, C. (2014). Family socioeconomic status, peers, and the path to college. Social Problems, 61(4), 602–624.

    Article  Google Scholar 

  • Edgerton, J. D., Roberts, L. W., & Peter, T. (2013). Disparities in academic achievement: Assessing the role of habitus and practice. Social Indicators Research, 114, 303–322. https://doi.org/10.1007/s11205-012-0147-0.

    Article  Google Scholar 

  • Gauld, C. F., & Hukins, A. A. (1980). Scientific attitudes: A review. Studies in Science Education, 7, 129–161.

    Article  Google Scholar 

  • Giacquinta, J. B., Bauer, J. A., & Levin, J. E. (1993). Beyond technology’s promise: An examination of children’s educational computing at home. Cambridge: Cambridge University Press.

    Google Scholar 

  • Hartas, D. (2015). Patterns of parental involvement in selected OECD countries: Cross-national analyses of PISA. European Journal of Educational Research, 4(4), 185–195. https://doi.org/10.12973/eu-jer.4.4.185.

    Article  Google Scholar 

  • Hutchby, I. (2001). Technologies, texts, and affordances. Sociology, 35(2), 441–456.

    Article  Google Scholar 

  • Hvistendahl, R., & Roe, A. (2004). The literacy achievement of Norwegian minority students. Scandinavian Journal of Educational Research, 48, 307–324.

    Article  Google Scholar 

  • Lareau, A. (2011). Unequal childhoods: Class, race, and family life (2nd ed.). Berkeley, CA: University of California Press.

    Google Scholar 

  • Ma, Y. (2009). Family socioeconomic status, parental involvement, and college major choices—gender, race/ethnic, and nativity patterns. Sociological Perspectives, 52(2), 211–234.

    Article  Google Scholar 

  • Osborne, J., Simon, S., & Collins, S. (2003). Attitudes towards science: A review of the literatureand its implications. International Journal of Science Education, 25(9), 1049–1079.

    Article  Google Scholar 

  • Selwyn, N. (2004). Reconsidering political and popular understandings of the digital divide. New Media & Society, 6(3), 341–362.

    Article  Google Scholar 

  • Selwyn, N. (2012). Making sense of young people, education and digital technology: The role of sociological theory. Oxford Review of Education, 38(1), 81–96.

    Article  Google Scholar 

  • Tan, C. Y. (2015). The contribution of cultural capital to students’ mathematics achievement in medium and high socioeconomic gradient economies. British Educational Research Journal, 41(6), 1050–1067.

    Article  Google Scholar 

  • Tan, C. Y. (2017). Do parental attitudes toward and expectations for their children’s education and future jobs matter for their children’s school achievement? British Educational Research Journal, 43(6), 1111–1130.

    Article  Google Scholar 

  • Tan, C. Y. (2018). Socioeconomic status, involvement practices, and student science achievement: Insights from a typology of home and school involvement patterns. American Educational Research Journal, 56(3), 899–924.

    Article  Google Scholar 

  • Tan, C. Y., & Hew, K. F. (2017). Information technology, mathematics achievement, and educational equity in developed economies. Educational Studies, 43(4), 371–390.

    Article  Google Scholar 

  • Tan, C. Y., & Hew, K. F. (2018). The impact of digital divides on student mathematics achievement in Confucian heritage cultures: A critical examination using PISA 2012 data. International Journal of Science and Mathematics Education.

    Google Scholar 

  • Vermunt, J. K. (2010). Latent class modeling with covariates: Two improved three-step approaches. Political Analysis, 18, 450–469. https://doi.org/10.1093/pan/mpq025.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2020 The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Tan, C.Y. (2020). Interrogating the Cultural Capital–Students’ Achievement Relationships. In: Family Cultural Capital and Student Achievement. SpringerBriefs in Education. Springer, Singapore. https://doi.org/10.1007/978-981-15-4491-0_4

Download citation

  • DOI: https://doi.org/10.1007/978-981-15-4491-0_4

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-4490-3

  • Online ISBN: 978-981-15-4491-0

  • eBook Packages: EducationEducation (R0)

Publish with us

Policies and ethics