While some STEM majors have a one-to-one male-to-female ratio, physics, engineering and computer science (PECS) majors consistently have some of the largest gender imbalances among U.S. college majors – with about four men to every woman in the major. In a new study published today in the peer-reviewed research journal, Science, NYU researchers find that this disparity is not caused by higher math or science achievement among men. On the contrary, the scholars found that men with very low high-school GPAs in math and science and very low SAT math scores were choosing these math-intensive majors just as often as women with much higher math and science achievement.
“Physics, engineering and computer science fields are differentially attracting and retaining lower-achieving males, resulting in women being underrepresented in these majors but having higher demonstrated STEM competence and academic achievement,” said Joseph R. Cimpian, lead researcher and associate professor of economics and education policy at NYU Steinhardt.
Cimpian and his colleagues analyzed data from almost 6,000 U.S. high school students over seven years – from the start of high school into the students’ junior year of college. When the researchers ranked students by their high-school math and science achievement, they noticed that male students in the 1st percentile were majoring in PECS at the same rate as females in the 80th percentile, demonstrating a stark contrast between the high academic achievement of the female students majoring in PECS compared to their male peers.
The researchers also reviewed the data for students who did not intend to major in PECS fields, but later decided to. They found that the lowest achieving male student was as least as likely to join one of these majors as the highest achieving female student.
The rich dataset the researchers used was collected by the U.S. Department of Education, and it contained measures of many factors previously linked to the gender gap in STEM. The NYU team tested whether an extensive set of factors could explain the gender gap equally well among high, average, and low achieving students. While the gender gap in PECS among the highest achievers could be explained by other factors in the data, such as a student’s prior career aspirations and confidence in their science abilities, these same factors could not explain the higher rates of low-achieving men in these fields.
This new work suggests that interventions to improve gender equity need to become more nuanced with respect to student achievement.
“Our results suggest that boosting STEM confidence and earlier career aspirations might raise the numbers of high-achieving women in PECS, but the same kinds of interventions are less likely to work for average and lower achieving girls, and that something beyond all these student factors is drawing low-achieving men to these fields,” said Cimpian.