Sex Differences in Mathematics and Reading Across Italy: The Role of Socioeconomic Factors

This meta-analysis examined over 26 million observations from Italy’s INVALSI surveys, conducted between 2009 and 2023, including students in second, fifth, eighth, tenth, and thirteenth grade across the entire Italian territory. Preliminary analyses revealed consistent patterns: boys outperformed girls in mathematics, d = .25, while girls outperformed boys in reading, d = -.29. Regarding mathematics, the geographical gradient was strongly correlated with average performance, r = -.528, with a North-South difference corresponding to approximately 2.77 IQ units. Furthermore, the sex difference in mathematics was strongly associated with the geographical gradient, r = -.817, indicating larger gaps in Northern provinces, and positively correlated with grade level, r = .386, showing that the boys’ advantage widens in higher grades. As for reading, the geographical gradient was similarly correlated with average performance r = -.603, with a North-South difference of approximately 3.44 IQ units. The sex difference in reading showed a weaker association with the geographical gradient, r = -.181, but a strong negative correlation with grade level, r = -.668, indicating that the girls’ advantage increases substantially in higher grades. Meta-regression models identified the geographical gradient, employment rate ratio, university enrollment ratio, and mean achievement score as key moderators. Specifically, for mathematics, higher women’s university enrollment was associated with smaller sex differences, whereas higher employment equality and higher overall achievement were associated with larger sex differences, favoring boys. For reading, higher women’s university enrollment and higher mean achievement were associated with larger girls’ advantages. Collectively, these results suggest that while high-performing environments tend to amplify sex differences across domains, economic productivity and specific opportunity structures can act as protective factors, offering new insights into the gender-equality paradox.

Authors

Institutions

Publication Details

Journal
Intelligence & Cognitive Abilities
Published
2026-02-04
DOI
https://doi.org/10.65550/001c.155775
Primary Topic
Education, Achievement, and Giftedness
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sex Differences in Mathematics and Reading Across Italy: The Role of Socioeconomic Factors

Enrico Toffalini, Lorenzo Esposito, David Giofrè
Intelligence & Cognitive Abilities
Education, Achievement, and Giftedness
article

Sex Differences in Mathematics and Reading Across Italy: The Role of Socioeconomic Factors

Enrico Toffalini, Lorenzo Esposito, David Giofrè
article en

Abstract

This meta-analysis examined over 26 million observations from Italy’s INVALSI surveys, conducted between 2009 and 2023, including students in second, fifth, eighth, tenth, and thirteenth grade across the entire Italian territory. Preliminary analyses revealed consistent patterns: boys outperformed girls in mathematics, d = .25, while girls outperformed boys in reading, d = -.29. Regarding mathematics, the geographical gradient was strongly correlated with average performance, r = -.528, with a North-South difference corresponding to approximately 2.77 IQ units. Furthermore, the sex difference in mathematics was strongly associated with the geographical gradient, r = -.817, indicating larger gaps in Northern provinces, and positively correlated with grade level, r = .386, showing that the boys’ advantage widens in higher grades. As for reading, the geographical gradient was similarly correlated with average performance r = -.603, with a North-South difference of approximately 3.44 IQ units. The sex difference in reading showed a weaker association with the geographical gradient, r = -.181, but a strong negative correlation with grade level, r = -.668, indicating that the girls’ advantage increases substantially in higher grades. Meta-regression models identified the geographical gradient, employment rate ratio, university enrollment ratio, and mean achievement score as key moderators. Specifically, for mathematics, higher women’s university enrollment was associated with smaller sex differences, whereas higher employment equality and higher overall achievement were associated with larger sex differences, favoring boys. For reading, higher women’s university enrollment and higher mean achievement were associated with larger girls’ advantages. Collectively, these results suggest that while high-performing environments tend to amplify sex differences across domains, economic productivity and specific opportunity structures can act as protective factors, offering new insights into the gender-equality paradox.

Intelligence & Cognitive Abilities
University of Padua (IT), University of Genoa (IT)
Openalex Percentile: Top 68%
Education, Achievement, and Giftedness
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.