Do Education System Characteristics Moderate the Socioeconomic, Gender and Immigrant Gaps in Math and Science Achievement?

Authors

  • Katerina Bodovski Pennsylvania State University
  • Ismael Munoz Pennsylvania State University
  • Soo-yong Byun Pennsylvania State University
  • Volha Chykina University of Michigan

https://doi.org/10.17583/rise.2020.4807

Downloads

Abstract

Using data from the 2011 Trends in International Mathematics and Science Study for 45 countries, we examined the size of socioeconomic, gender, and immigrant status related gaps, and their relationships with education system characteristics, such as differentiation, standardization, and proportion of governmental spending on education. We find that higher socioeconomic status is positively and significantly associated with higher math and science achievement; immigrant students lag behind their native peers in both math and science, with first generation students faring worse than second generation; and girls show lower math performance than boys. A higher degree of differentiation makes socioeconomic gaps larger in both math and science achievement, whereas higher governmental spending reduces socioeconomic achievement gaps.   

Downloads

Download data is not yet available.

Author Biographies

Katerina Bodovski, Pennsylvania State University

Associate Professor of Educational Theory and Policy, Department of Education Policy Studies

Ismael Munoz, Pennsylvania State University

A doctoral candidate, Department of Education Policy Studies

Soo-yong Byun, Pennsylvania State University

Associate Professor of Educational Theory and Policy, Department of Education Policy Studies

Volha Chykina, University of Michigan

postdoctoral fellow, Donia Human Rights Center

References

Alba, R., Sloan, J., and Sperling, J. 2011. “The integration imperative: The children of low-status immigrants in the schools of wealthy societies.” Annual Review of Sociology, 37: 395-415.

Google Scholar Crossref

Alexander, K. L., Cook, M., & McDill, E. L. 1978. “Curriculum tracking and educational stratification: Some further evidence.” American Sociological Review, 43(1): 47-66.

Google Scholar Crossref

Ayalon, H., & Livneh, I. 2013. Educational standardization and gender differences in mathematics achievement: A comparative study. Social Science Research, 42(2): 432-445.

Google Scholar Crossref

Baker, D. P., and Perkins Jones, D. 1993. “Creating gender equality: Cross-national gender stratification and mathematical performance.” Sociology of Education, 66(2): 91-103.

Google Scholar Crossref

Barban, N., and White, M. J. 2011. “Immigrants’ children’s transition to secondary school in Italy.” International Migration Review, 45(3): 702-726.

Google Scholar Crossref

Bishop, J. H. 1997. “The effect of national standards and curriculum-based examinations on achievement.” American Economic Review 87(2): 260-264.

Google Scholar Crossref

Bodovski, K., Byun, S., Chykina, V., & Chung, H. J. 2017. “Searching for the golden model of education: cross-national analysis of math achievement.” Compare: A Journal of Comparative and International Education, 47(5): 722-741.

Google Scholar Crossref

Bodovski, K., Kotok, S., and Henck, A. 2014. “Universal patterns or the tale of two systems? Mathematics achievement and educational expectations in post-socialist Europe.” Compare: A Journal of Comparative and International Education, 44(5): 732-755.

Google Scholar Crossref

Bol, T., and Van de Werfhorst, H. G. 2013. “Educational systems and the trade-off between labor market allocation and equality of educational opportunity.” Comparative Education Review, 57(2): 285-308.

Google Scholar Crossref

Bol, T., Witschge, J., Van de Werfhorst, H. G., & Dronkers, J. 2014. Curricular tracking and central examinations: Counterbalancing the impact of social background on student achievement in 36 countries. Social Forces, 92(4): 1545-1572.

Google Scholar Crossref

Bowles, S., and Gintis H. 1976. Schooling in Capitalist America: Educational Reform and the Contradictions of Economic Life. New York, NY: Basic Books.

Google Scholar Crossref

Brown, A. 2015. U.S. immigrant population projected to rise, even as share falls among Hispanics, Asians. A Pew Research Center fact tank. Retrieved from https://pewrsr.ch/1BILxuL

Google Scholar Crossref

Buchmann, C., DiPrete, T. A., and McDaniel, A. 2008. “Gender inequalities in education.” Annual Review of Sociology, 34: 319-337.

Google Scholar Crossref

Buchmann, C., and Park, H. 2009. “Stratification and the formation of expectations in highly differentiated educational systems.” Research in Social Stratification and Mobility, 27(4): 245-267.

Google Scholar Crossref

Caro, D. H., Lenkeit, J., Lehmann, R., and Schwippert, K. 2009. “The role of academic achievement growth in school track recommendations.” Studies in Educational Evaluation, 35(4): 183-192.

Google Scholar Crossref

Charles, M. 2011. “A world of difference: International trends in women's economic status.” Annual Review of Sociology, 37: 355-371.

Google Scholar Crossref

Charles, M., and Bradley, K. 2009. “Indulging our gendered selves? Sex segregation by field of study in 44 countries.” American Journal of Sociology, 114(4): 924-976.

Google Scholar Crossref

Cheema, J. R., and Galluzzo, G. 2013. “Analyzing the gender gap in math achievement: Evidence from a large-scale US sample.” Research in Education, 90(1): 98-112.

Google Scholar Crossref

Chykina, V. 2019. Educational expectations of immigrant students: Does tracking matter? Sociological Perspectives, 62(3): 366-382.

Google Scholar Crossref

Cole, N. S. 1997. The ETS gender study: How females and males perform in educational settings. Retrieved from http://files.eric.ed.gov/fulltext/ED424337.pdf

Google Scholar Crossref

Combet, B. 2015. How the education system moderates parents’ influence on their child’s track choice in Switzerland. Paper presented at the Spring Meeting of the Research Committee on Social Stratification and Mobility (RC28), Tilburg, Netherlands, May.

Google Scholar Crossref

Crosnoe, R. and R.N. Lopez Turley 2011. “K-12 educational outcomes of immigrant youth.” The Future of Children, 21(1): 129-152.

Google Scholar Crossref

Dauber, S. L., Alexander, K. L., & Entwisle, D. R. 1996. “Tracking and transitions through the middle grades: Channeling educational trajectories.” Sociology of Education, 69(4): 290–307.

Google Scholar Crossref

Ellison, G., and Swanson, A. 2010. “The gender gap in secondary school mathematics at high achievement levels: Evidence from the American Mathematics Competitions.” The Journal of Economic Perspectives, 24(2): 109-128.

Google Scholar Crossref

Gamoran, A. 1987. “The stratification of high school learning opportunities.” Sociology of Education, 60: 135-155.

Google Scholar Crossref

Gamoran, A. 1996. “Student achievement in public magnet, public comprehensive, and private city high schools.” Educational Evaluation and Policy Analysis, 18(1): 1-18.

Google Scholar Crossref

Gamoran, A., and Mare, R. D. 1989. “Secondary school tracking and educational inequality: Compensation, reinforcement, or neutrality?” American Journal of Sociology, 94: 1146-1183.

Google Scholar Crossref

Gerber, T. P., and M. Hout. 1995. “Educational Stratification in Russia during the Soviet Period.” American Journal of Sociology, 101(3): 611–660.

Google Scholar Crossref

Gibson, M. A., & Carrasco, S. (2009). The education of immigrant youth: Some lessons from the US and Spain. Theory into Practice, 48(4): 249-257.

Google Scholar Crossref

Goldenberg, C., Gallimore, R., Reese, L., and Garnier, H. 2001. “Cause or effect? A longitudinal study of immigrant Latino parents' aspirations and expectations, and their children's school performance.” American Educational Research Journal, 38(3): 547-582.

Google Scholar Crossref

Griga, D., and A. Hadjar. 2014. “Migrant background and higher education participation in Europe: The effect of the educational systems.” European Sociological Review, 30(3), 275-286.

Google Scholar Crossref

Guiso, L., Monte, F., Sapienza, P., and Zingales, L. 2008. “Culture, gender, and math.” Science, 320(5880): 1164-1165.

Google Scholar Crossref

Farkas, G. 2003. “Cognitive Skills and Noncognitive Traits and Behaviors in Stratification Processes.” Annual Review of Sociology 29: 541-562.

Google Scholar Crossref

Hanushek, E. A. 2003. “The failure of input‐based schooling policies.” The Economic Journal, 113(485): F64-F98.

Google Scholar Crossref

Hyde, J. S., and Mertz, J. E. 2009. “Gender, culture, and mathematics performance.” Proceedings of the National Academy of Sciences, 106(22) 8801-8807.

Google Scholar Crossref

Joncas, M. 2008. TIMSS 2007 sample design. In J. F. Olson, M. O. Martin and I. V. S. Mullis (Eds.), TIMSS 2007 Technical Report (pp. 77-92). Chestnut Hill, MA: International Study Center, Boston College.

Google Scholar Crossref

Kao, G., and Tienda, M. 1995. “Optimism and achievement: The educational performance of immigrant youth.” Social Science Quarterly, 76(1): 1-19.

Google Scholar Crossref

Kasinitz, P., Mollenkopf, J. H., Waters, M. C., and Holdaway, J. 2008. Inheriting the city: The children of immigrants come of age. New York, NY: Russell Sage.

Google Scholar Crossref

Kerckhoff, A. C. 1986. “Effects of ability grouping in British secondary schools.” American Sociological Review, 51: 842-858.

Google Scholar Crossref

Kerckhoff, A. C. 1995. “Institutional arrangements and stratification processes in industrial societies.” Annual Review of Sociology, 21: 323-347.

Google Scholar Crossref

Lareau, A. 2011. Unequal Childhoods: Class, Race, and Family Life. 2nd ed. Berkeley: University of California Press.

Google Scholar Crossref

Lauglo, J., and Liu, F. (2019). “The reverse gender gap in adolescents’ expectation of

Google Scholar Crossref

higher education: Analysis of 50 education systems.” Comparative Education Review, 63(1): 28-57. https://doi.org/10.1086/701231

Google Scholar Crossref

Lee, J., and Zhou, M. 2015. The Asian American achievement paradox. New York, NY: Russell Sage.

Google Scholar Crossref

Levels, M., Dronkers J., Kraaykamp G. (2008). “Immigrant children’s educational achievement in western countries: Origin, destination, and community effects on mathematical

Google Scholar Crossref

performance.” American Sociological Review, 73(5): 835-853.

Google Scholar Crossref

Mann, H. 1848. Twelfth annual report of the board of education, together with the twelfth annual report of the secretary of the board. Retrieved from http://archives.lib.state.ma.us/handle/2452/204731

Google Scholar Crossref

Marks, G. N. 2005. “Cross-national Differences and Accounting for Social Class Inequalities in Education.” International Sociology, 20(4): 483-505.

Google Scholar Crossref

Marks, G. N. 2006. “Are between- and within-school differences in student performance largely due to socio-economic background? Evidence from 30 countries”. Educational Research, 48(1): 21-40.

Google Scholar Crossref

Marlow, M. L. 2000. “Spending, School Structure, and Public Education Quality: Evidence from California.” Economics of Education Review 19: 89-106.

Google Scholar Crossref

Meier, V., and Schutz, G. 2007. The economics of tracking and non-tracking (Ifo working paper #50). Retrieved from https://ideas.repec.org/p/ces/ifowps/_50.html

Google Scholar Crossref

Madood, T. 2004. “Capitals, ethnic identity and educational qualifications.” Cultural Trends, 13(2): 87-105.

Google Scholar Crossref

Nathan, J. 1998. Charter schools: Creating hope and opportunity for American education. San Francisco, CA: Jossey-Bass Inc.

Google Scholar Crossref

Oakes, J. 1985. Keeping track: How schools structure inequality. New Haven, CT: Yale University Press.

Google Scholar Crossref

OECD-UNDESA 2013. World migration in figures. Retrieved from http://bit.ly/NmEzXi.

Google Scholar Crossref

Park, H. 2005. “Cross-national variation in the effects of family background and schools on student’s achievement: The relevance of institutional and policy contexts.” Unpublished doctoral dissertation, University of Wisconsin-Madison, US.

Google Scholar Crossref

Park H. 2008. “The Varied Educational Effects of Parent-Child Communication: A Comparative Study of Fourteen Countries.” Comparative Education Review, 52(2):219-243

Google Scholar Crossref

Pfeffer, F. T. 2008. “Persistent inequality in educational attainment and its institutional context.” European Sociological Review, 24(5): 543-565.

Google Scholar Crossref

Portes, A., and Rumbaut, R. 2001. Legacies: The story of the immigrant second generation. Berkeley, CA: University of California Press.

Google Scholar Crossref

Raudenbush, S. and Bryk, A. 2002. Hierarchical linear models: Applications and data analysis methods (Advanced quantitative techniques in the social sciences series). London: SAGE.

Google Scholar Crossref

Riegle-Crumb, C., King, B., Grodsky, E., and Muller, C. 2012. “The more things change, the more they stay the same? Prior achievement fails to explain gender inequality in entry into STEM college majors over time.” American Educational Research Journal, 49(6): 1048-1073.

Google Scholar Crossref

Ruhose, J., & Schwerdt, G. 2016. Does early educational tracking increase migrant-native

Google Scholar Crossref

achievement gaps? Differences-in-differences evidence across countries. Economics of

Google Scholar Crossref

Education Review, 52: 134-154.

Google Scholar Crossref

Rosenbaum, E., and Rochford, J. A. 2008. “Generational patterns in academic performance: The variable effects of attitudes and social capital.” Social Science Research, 37(1): 350-372.

Google Scholar Crossref

Royston, P. 2004. “Multiple imputation of missing values.” Stata Journal, 4(3): 227-241.

Google Scholar Crossref

Schlicht, R., Stadelmann-Steffen, I., and Freitag, M. 2010. “Educational inequality in the EU: The effectiveness of the national education policy.” European Union Politics, 11(1): 29-59.

Google Scholar Crossref

Schnepf, S. V. 2008. “Inequality of learning amongst immigrant children in industrialized Countries”. Discussion Paper No. 3337. Bonn: IZA.

Google Scholar Crossref

Schnepf, S. V. 2010. “Gender differences in subjective well-being in Central and Eastern Europe.” Journal of European Social Policy, 20(1): 74-85.

Google Scholar Crossref

Schutz, G., West, M., and Wößmann, L. 2007. School accountability, autonomy, choice, and the equity of student achievement: International evidence from PISA 2003 (Education working paper #14). Retrieved from http://www.oecd.org/edu/39839422.pdf.

Google Scholar Crossref

Telles, E. M., and Ortiz, V. 2008. Generations of exclusion: Mexican-Americans, assimilation, and race. New York, NY: Russell Sage Foundation.

Google Scholar Crossref

Titma, M., N. B. Tuma, and K. Roosma. 2003. “Education as a Factor in Intergenerational

Google Scholar Crossref

Mobility in Soviet Society.” European Sociological Review 19 (3): 281–297.

Google Scholar Crossref

Tsui, M. 2007. “Gender and mathematics achievement in China and the United States.” Gender Issues, 24(3): 1-11.

Google Scholar Crossref

UNESCO 2016. Education 2030. Incheon declaration and framework for action for the implementation of Sustainable Goal 4. Retrieved from https://bit.ly/2d2DwOq

Google Scholar Crossref

Van Heck, M., Buchmann, C., and Kraaykamp, G. 2019. “Educational systems and gender differences in reading: A comparative multilevel analysis”, European Sociological Review, 35(2): 169-186.

Google Scholar Crossref

Walberg H. J, Paik S. J, Komukai A., Freeman K. 2000. “Decentralization: An International Perspective.” Educational Horizons, 1:155-166.

Google Scholar Crossref

Wang, J., and Goldschmidt, P. 1999. “Opportunity to learn, language proficiency, and immigrant status effects on mathematics achievement.” The Journal of Educational Research, 93(2): 101-111

Google Scholar Crossref

West, M., and Wößmann, L. 2008. “‘Every Catholic child in a Catholic school’: Historical resistance to state schooling, contemporary private competition and student achievement across countries.” The Economic Journal, 120(August): F229-F255.

Google Scholar Crossref

Willms, J. D., and Smith, T. 2005. A manual for conducting analyses with data from TIMSS and PISA. Montreal, Canada: UNESCO Institute for Statistics.

Google Scholar Crossref

Wiseman, A. W., Baker, D. P., Riegle-Crumb, C., and Ramirez, F. O. 2009. Shifting gender effects: opportunity structures, institutionalized mass schooling, and cross-national achievement in mathematics. In D. Baker and A. Wiseman (Eds.), Gender, equality and education from international and comparative perspectives (pp. 395-422). Bingley, UK: Emerald Group Publishing Limited.

Google Scholar Crossref

Downloads

Published

2020-06-25

Almetric

Dimensions

How to Cite

Bodovski, K., Munoz, I., Byun, S.- yong, & Chykina, V. (2020). Do Education System Characteristics Moderate the Socioeconomic, Gender and Immigrant Gaps in Math and Science Achievement?. International Journal of Sociology of Education, 9(2), 122–154. https://doi.org/10.17583/rise.2020.4807

Issue

Section

Articles