IDEAS home Printed from https://ideas.repec.org/p/iae/iaewps/wp2016n24.html

The Attitudes of Boys and Girls towards Science and Mathematics as They Progress through School in Australia

Author

Listed:
  • Chris Ryan

    (Melbourne Institute of Applied Economic and Social Research, The University of Melbourne, and; ARC Centre of Excellence for Children and Families over the Life Course)

Abstract

Differences between boys and girls in their attitudes towards mathematics are apparent among students in Year 4 in Australia. While not more engaged in their classes, boys indicate that they like mathematics and are more confident about their ability in it than girls. These differences increase between Year 4 and Year 8, while differences in similar directions in reported attitudes towards science develop. In Year 8, these differences in attitudes exist across all school sectors, social backgrounds and student levels of achievement, aspirations about future levels of completed education, language backgrounds and the genders of their teachers. These differences at Year 8 exist within schools, not between schools of different types or who cater for different types of students. There appears to be one exception to this statement: girls in single sex schools are more likely to like and be as confident about mathematics and science as boys in single sex schools.

Suggested Citation

  • Chris Ryan, 2016. "The Attitudes of Boys and Girls towards Science and Mathematics as They Progress through School in Australia," Melbourne Institute Working Paper Series wp2016n24, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    • Handle: RePEc:iae:iaewps:wp2016n24
    as

    Download full text from publisher

    File URL: http://melbourneinstitute.unimelb.edu.au/downloads/working_paper_series/wp2016n24.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Scott E. Carrell & Marianne E. Page & James E. West, 2010. "Sex and Science: How Professor Gender Perpetuates the Gender Gap," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(3), pages 1101-1144.
    2. Uri Gneezy & Muriel Niederle & Aldo Rustichini, 2003. "Performance in Competitive Environments: Gender Differences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(3), pages 1049-1074.
    3. Uri Gneezy & Kenneth L. Leonard & John A. List, 2009. "Gender Differences in Competition: Evidence From a Matrilineal and a Patriarchal Society," Econometrica, Econometric Society, vol. 77(5), pages 1637-1664, September.
    4. Bonin, Holger & Dohmen, Thomas & Falk, Armin & Huffman, David & Sunde, Uwe, 2007. "Cross-sectional earnings risk and occupational sorting: The role of risk attitudes," Labour Economics, Elsevier, vol. 14(6), pages 926-937, December.
    5. Catherine C. Eckel & Philip J. Grossman, 2008. "Sex and Risk: Experimental Evidence," Monash Economics Working Papers archive-09, Monash University, Department of Economics.
    6. George A. Akerlof & Rachel E. Kranton, 2000. "Economics and Identity," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(3), pages 715-753.
    7. Booth, Alison & Cardona-Sosa, Lina & Nolen, Patrick, 2014. "Gender differences in risk aversion: Do single-sex environments affect their development?," Journal of Economic Behavior & Organization, Elsevier, vol. 99(C), pages 126-154.
    8. Eckel, Catherine C. & Grossman, Philip J., 2008. "Differences in the Economic Decisions of Men and Women: Experimental Evidence," Handbook of Experimental Economics Results, in: Charles R. Plott & Vernon L. Smith (ed.), Handbook of Experimental Economics Results, edition 1, volume 1, chapter 57, pages 509-519, Elsevier.
    9. Muriel Niederle & Lise Vesterlund, 2007. "Do Women Shy Away From Competition? Do Men Compete Too Much?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 1067-1101.
    10. Charles A. Holt & Susan K. Laury, 2002. "Risk Aversion and Incentive Effects," American Economic Review, American Economic Association, vol. 92(5), pages 1644-1655, December.
    11. Moshe Justman & Susan J. Méndez, 2016. "Gendered Selection of STEM Subjects for Matriculation," Melbourne Institute Working Paper Series wp2016n10, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    12. Rachel Croson & Uri Gneezy, 2009. "Gender Differences in Preferences," Journal of Economic Literature, American Economic Association, vol. 47(2), pages 448-474, June.
    13. Claudia Goldin & Lawrence F. Katz, 2012. "The Most Egalitarian of All Professions: Pharmacy and the Evolution of a Family-Friendly Occupation," NBER Working Papers 18410, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bertrand, Marianne, 2011. "New Perspectives on Gender," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 17, pages 1543-1590, Elsevier.
    2. Booth, Alison & Nolen, Patrick, 2012. "Choosing to compete: How different are girls and boys?," Journal of Economic Behavior & Organization, Elsevier, vol. 81(2), pages 542-555.
    3. Boschini, Anne & Dreber, Anna & von Essen, Emma & Muren, Astri & Ranehill, Eva, 2019. "Gender, risk preferences and willingness to compete in a random sample of the Swedish population✰," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 83(C).
    4. Inés P. Murillo & Hipólito Simón, 2014. "La Gran Recesión y el diferencial salarial por género en España," Hacienda Pública Española / Review of Public Economics, IEF, vol. 208(1), pages 39-76, March.
    5. Pedro Bordalo & Katherine Coffman & Nicola Gennaioli & Andrei Shleifer, 2016. "Stereotypes," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1753-1794.
      • Pedro Bordalo & Katherine Coffman & Nicola Gennaioli & Andrei Shleifer, "undated". "Stereotypes," Working Paper 373306, Harvard University OpenScholar.
      • Pedro Bordalo & Katherine Coffman & Nicola Gennaioli & Andrei Shleifer, 2014. "Stereotypes," Working Paper 200246, Harvard University OpenScholar.
      • Pedro Bordalo & Nicola Gennaioli & Andrei Shleifer, 2014. "Stereotypes," NBER Working Papers 20106, National Bureau of Economic Research, Inc.
      • Pedro Bordalo & Katherine Coffman & Nicola Gennaioli & Andrei Shleifer, "undated". "Stereotypes," Working Paper 467407, Harvard University OpenScholar.
    6. Cueva, Carlos & Rustichini, Aldo, 2015. "Is financial instability male-driven? Gender and cognitive skills in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 119(C), pages 330-344.
    7. Khachatryan, Karen & Dreber, Anna & von Essen, Emma & Ranehill, Eva, 2015. "Gender and preferences at a young age: Evidence from Armenia," Journal of Economic Behavior & Organization, Elsevier, vol. 118(C), pages 318-332.
    8. Peter Kuhn & Marie Claire Villeval, 2015. "Are Women More Attracted to Co‐operation Than Men?," Economic Journal, Royal Economic Society, vol. 125(582), pages 115-140, February.
    9. Alison L. Booth & Patrick Nolen, 2012. "Gender differences in risk behaviour: does nurture matter?," Economic Journal, Royal Economic Society, vol. 122(558), pages 56-78, February.
    10. Cueva, Carlos & Iturbe-Ormaetxe, Iñigo & Ponti, Giovanni & Tomás, Josefa, 2019. "Boys will still be boys: Gender differences in trading activity are not due to differences in (over)confidence," Journal of Economic Behavior & Organization, Elsevier, vol. 160(C), pages 100-120.
    11. Pedro Bordalo & Nicola Gennaioli & Andrei Shleifer, 1969. "Stereotypes," Working Paper 154836, Harvard University OpenScholar.
    12. Lin Xiu & Morley Gunderson, 2015. "Occupational segregation and the gender earnings gap in China: devils in the details," International Journal of Manpower, Emerald Group Publishing Limited, vol. 36(5), pages 711-732, August.
    13. Nan L. Maxwell & Nathan Wozny, 2021. "Gender Gaps in Time Use and Labor Market Outcomes: What’s Norms Got to Do with it?," Journal of Labor Research, Springer, vol. 42(1), pages 56-77, March.
    14. Claussen, Jörg & Czibor, Eszter & van Praag, Mirjam C., 2015. "Women Do Not Play Their Aces: The Consequences of Shying Away," IZA Discussion Papers 9612, IZA Network @ LISER.
    15. Fang,Sheng & Goh,Chorching & Roberts,Mark & Xu,L. Colin & Zeufack,Albert G., 2020. "Female Business Leaders, Business and Cultural Environment, and Productivity around the World," Policy Research Working Paper Series 9275, The World Bank.
    16. Peter Kuhn & Marie-Claire Villeval, 2011. "Do Women Prefer a Co-operative Work Environment?," Working Papers 1127, Groupe d'Analyse et de Théorie Economique Lyon St-Etienne (GATE Lyon St-Etienne), Université de Lyon.
    17. Zhang, Peilu & Zhang, Yinjunjie & Palma, Marco, 2018. "Social Norms and Competitiveness: My Willingness to Compete Depends on Who I am (supposed to be)," MPRA Paper 89727, University Library of Munich, Germany.
    18. Claudia Olivetti & Barbara Petrongolo, 2016. "The Evolution of Gender Gaps in Industrialized Countries," Annual Review of Economics, Annual Reviews, vol. 8(1), pages 405-434, October.
    19. Czibor, Eszter & Claussen, Jörg & van Praag, Mirjam, 2019. "Women in a men’s world: Risk taking in an online card game community," Journal of Economic Behavior & Organization, Elsevier, vol. 158(C), pages 62-89.
    20. Azmat, Ghazala & Petrongolo, Barbara, 2014. "Gender and the labor market: What have we learned from field and lab experiments?," Labour Economics, Elsevier, vol. 30(C), pages 32-40.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • I29 - Health, Education, and Welfare - - Education - - - Other
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:iae:iaewps:wp2016n24. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sheri Carnegie (email available below). General contact details of provider: https://edirc.repec.org/data/mimelau.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.