IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp11843.html
   My bibliography  Save this paper

The Gender Gap in Attitudes and Test Scores: A New Construct of the Mathematical Capability

Author

Listed:
  • Di Tommaso, Maria Laura

    () (University of Turin)

  • Maccagnan, Anna

    () (University of Exeter)

  • Mendolia, Silvia

    () (University of Wollongong)

Abstract

In most OECD countries, girls outperform boys in all subjects except mathematics. Usually, only test scores are utilised as a measure of mathematical skills. In this paper, we argue that in order to measure children's capability in mathematics we need to include some indicators of the attitudes of children towards the subject. This is particularly important when we analyse gender gaps, because attitudes towards mathematics differ by gender. We first describe the differences by gender both in test scores and attitudes utilising a model including school fixed effects. Next, we estimate a quantile regression in order to analyse how the gender gap varies across the distribution of the attitudes. Lastly, in addition to the test scores in mathematics, we use indicators of attitudes towards maths to estimate a Structural Equation Model, which takes into account that maths capability is a latent construct of which we only observe some indicators (test scores and attitudes). We use data from the Italian National Test (Invalsi) for year 5 and year 10 in 2014 and 2015. Results confirm that when we measure mathematics capability including attitudes in addition to test scores, the gap between boys and girls is even wider with respect to the analysis of test scores alone, and therefore educational policies aimed at reducing the gender gap in mathematics should address both attitudes and test scores.

Suggested Citation

  • Di Tommaso, Maria Laura & Maccagnan, Anna & Mendolia, Silvia, 2018. "The Gender Gap in Attitudes and Test Scores: A New Construct of the Mathematical Capability," IZA Discussion Papers 11843, Institute for the Study of Labor (IZA).
  • Handle: RePEc:iza:izadps:dp11843
    as

    Download full text from publisher

    File URL: http://ftp.iza.org/dp11843.pdf
    Download Restriction: no

    More about this item

    Keywords

    maths gender gap; attitudes; structural equation models; school achievement;

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models

    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:iza:izadps:dp11843. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Mark Fallak). General contact details of provider: http://www.iza.org .

    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.

    We have no references for this item. You can help adding them by using 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.