The paper “Gender, culture, and mathematics performance” was published in 2009 in the Proceedings of the National Academy of Sciences. The paper sets out to answer three questions:
- Do gender differences in mathematics performance exist in the general population?
- Do gender differences exist among the highly mathematically talented?
- Do females exist who possess profound mathematical talent?
After addressing these questions, the paper talks about the effects of sociocultural factors on observed gender differences. I discuss their answers for each question below:
Question 1: In studies published in 1966 and 1974, a developmental psychologist found that gender differences in math performance were well established, and that males scored higher. She noted that, while their elementary school performance was similar, boys’ skills began to increase faster than girls’ around age 12/13, which created a large gap by the time they reached high school. In a recent study based on No Child Left Behind data (representing over 7 million students), it was found that gender differences in mathematics performance were close to zero in all grades, including high school. This pattern was found for all other ethnic groups studied. Thus, the gap that was found in previous decades has now disappeared. However, the No Child Left Behind data was not able to shed light on a possible gap in complex problem solving. For this, the researchers looked at data from the National Assessment of Education Progress, and found that the gender difference was trivial. The math skills of girls are equal to those of boys.
Question 2: In 1984 it was hypothesized that the variability of intellectual abilities was greater among men; this would mean that there are more men than women at both the low-achieving and high-achieving ends of the spectrum. To test this hypothesis, they use variance ratios. A variance ratio greater than 1 would indicate greater male variability in math skills. Data from state math assessments found variance ratios slightly higher than 1. They found that the ratio of males to females scoring at the 95th percentile was 1.34, and the ratio at the 99.9th percentile, the ratio was 2.15. However, this varies greatly from country to country. For example, as many girls or more girls than boys scored in the 99th percentile in Iceland, Thailand and the United Kingdom. This challenges the greater male variability hypothesis, which one would expect to hold for all populations. In another study, it was found that some countries have no difference in variability, and others even had more female variability. This paper suggests that greater male variability is due to sociocultural factors, rather than biological differences.
Question 3: Of course. Females with great mathematical talents definitely exist. The scarcity of women mathematicians in the 20th century is due to a severe lack of opportunity for women who wanted to pursue math and science fields. The paper cites many superb women mathematicians, such as Ada Lovelace, who is regarded as the world’s first computer programmer, and Grace Hopper, who developed the first compiler for a programming language. You can find a large list of women mathematicians here. Just because women mathematicians find themselves in the spotlight far less than male mathematicians doesn’t mean they don’t exist.
From this paper, we can conclude that sociocultural factors have more of an effect on the gender gap than innate biological differences between males and females. One study listed in the paper concluded that there was a strong correlation between “a country’s measures of gender inequity and the size of the math gender gap both at the mean and the right tail of the distribution.” The paper concludes that “gender inequality, not greater male variability, is the primary reason fewer females than males are identified as excelling in mathematics and the high and highest levels in most countries.”
Gender inequity can take many forms, including people advising females against taking STEM courses, mathematically talented girls not being supported, a lack of female role models in mathematically based fields, hostile work environments, teachers paying more attention to boys, and more.
(Source: Gender, culture and mathematics performance, published by the Proceedings of the National Academy of Sciences in 2009.)
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