Gray, H. and Lyth, A. and McKenna, C. and Stothard, S. and Tymms, P. and Copping, L.T. (2019) 'Sex differences in variability across nations in Reading, Mathematics and Science : a meta-analytic extension of Baye and Monseur (2016).', Large-scale assessments in education., 7 . p. 2.
A recent study by Baye and Monseur (Large Scale Assess Educ 4:1–16, 2016) using large, international educational data sets suggest that the “greater male variation hypothesis” is well supported. Males are often over-represented at the tails of the ability distribution despite similarity in measures of central tendency and the gradual closing of the attainment gap relative to females. In this study, we replicate and expand Baye and Monseur’s work, and explore greater male variability by country using meta-analysis and meta-regression. While we broadly confirm that variability is greater for males internationally, we find that there is significant heterogeneity between countries, and that much of this can be quantified using variables applicable across these assessments (such as test, year, male–female effect size, mean country score and Global Gender Gap Indicators). While it is still not possible to make any causal conclusions regarding why males are more varied than females in academic assessments, it is possible to show that some national level variables effect the magnitude of this variation. Results and suggestions for further work are discussed.
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|Publisher Web site:||https://doi.org/10.1186/s40536-019-0070-9|
|Publisher statement:||© The Author(s) 2019. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.|
|Date accepted:||28 January 2019|
|Date deposited:||31 January 2019|
|Date of first online publication:||12 February 2019|
|Date first made open access:||11 April 2019|
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