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Investigating gender differences in mathematics by performance levels in the Italian school system
Institution:Department of Statistical Sciences, University of Bologna, via Belle Arti 41, 40126 Bologna, Italy
Abstract:Amongst the extensive research conducted about girls’ lack of interest in STEM subjects, an issue that is frequently examined is the learning of mathematics. This research investigates the gender gap in mathematics among Italian students based on performance levels, using standardised large-scale data from INVALSI tests. We performed a quantile regression to better understand the differences along the entire score distribution. A latent class model was then estimated to identify groups of students with similar performance levels, taking into account the gender covariate. The results indicate that boys are already ahead from primary education and that there is a general decrease in the performance as students progress through the education stages.
Keywords:Gender gap  Mathematics performance  INVALSI standardised tests  Quantile regression  Latent class analysis
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