In 2020, Andrei Cimpian, along with co-PIs Sapna Cheryan, Joseph Cimpian, and Sarah Lubienski, were awarded a grant for “Boys Have It; Girls Have to Work for It”: The Development and Consequences of Gender Stereotypes About Natural Talent vs. Effort in Mathematics. The goal of this project is threefold: 1) to explore the origins of the gender stereotype that girls achieve in math due to effort and boys achieve in math due to natural talent, 2) to investigate the consequences of these stereotypes, and 3) to identify ways of reducing the negative effects of these stereotypes on mathematics outcomes. In this blog, we interviewed Dr. Andrei Cimpian on his inspiration and insights on this research, as well as his plans to disseminate the findings to education practitioners.
What spurred your research, and what prior research was foundational for this current study?
The co-PIs and I were inspired to do this research because we were struck by the contrast between two sets of facts. On the one hand, girls do better in school than boys from kindergarten to grade 12. Women also obtain more bachelor’s and graduate degrees than men. On the other hand, we as a society still think of men as more brilliant and genius-like than women. For example, participants in a 2018 study referred more male than female acquaintances for a job that they were told requires natural smarts1. When the same job was said to require a strong work ethic instead, participants referred equal numbers of women and men.
Of course, societal views of women and men have changed quite a bit over the last century. With respect to general competence, women are now equal with men in the eyes of the American public. But the stereotype that associates “raw,” high-level intellectual talent with men more than women seems to have resisted change. Why?
Our research is testing a promising hypothesis: It is possible that people give different explanations for women’s and men’s intellectual successes, explaining men’s competence as being due primarily to their inborn intellectual talent and women’s as being due to their efforts. This effort-vs.-talent stereotype “explains away” women’s achievements by attributing them to a quality—perseverance—that is less valued in American culture than natural ability.
Versions of this explanatory stereotype have been documented in adults, but our project will provide its first systematic investigation among children. In particular, we will investigate the effort-vs.-talent stereotype in the domain of mathematics because innate ability is particularly valued in this domain1, which might make this stereotype especially consequential.
What are some examples of language or behavior that might suggest an individual holds a particular stereotype? Are there potential ways of mitigating the negative effects of stereotypes?
The best example of this stereotype that I can think of—and this is in fact the anecdote that crystallized our team’s interest in this topic—was recounted by co-PI Joseph Cimpian in a recent piece for The Brookings Institution (emphasis is mine):
About five years ago, while Sarah [Lubienski] and I were faculty at the University of Illinois, we gathered a small group of elementary teachers together to help us think through […] how we could intervene on the notion that girls were innately less capable than boys. One of the teachers pulled a stack of papers out of her tote bag, and spreading them on the conference table, said, “Now, I don’t even understand why you’re looking at girls’ math achievement. These are my students’ standardized test scores, and there are absolutely no gender differences. See, the girls can do just as well as the boys if they work hard enough.” Then, without anyone reacting, it was as if a light bulb went on. She gasped and continued, “Oh my gosh, I just did exactly what you said teachers are doing,” which is attributing girls’ success in math to hard work while attributing boys’ success to innate ability. She concluded, “I see now why you’re studying this.”
In terms of what can be done to mitigate the effects of this stereotype, our project will investigate a potential strategy: normalizing effort by making it clear to students that everyone (not just particular groups) needs to work hard to learn math. This message reframes what is viewed as necessary for success in math away from the belief that natural talent is key, thereby undercutting the power of effort-vs.-talent stereotypes.
The current study focuses on elementary school students in grades 1 through 4. What was the motivation for choosing this specific age group?
In general, gender stereotypes about intellectual ability seem to emerge quite early. For instance, girls as young as 6 and 7 are less likely than boys to associate being “really, really smart” with members of their own gender. For this reason, we think it is really important to focus on young children—we need to understand when effort-vs.-talent stereotypes first take root!
“Catching” these stereotypes when they first arise is also important for intervention purposes. If left unchecked, the effects of effort-vs.-talent stereotypes may snowball over time (for example, differences in the types of careers that young women and men are motivated to pursue).
What plans do you have to disseminate the findings of this research in ways that will be useful for education practitioners?
We are mindful of the importance of getting this research into the hands of teachers so that they can use it in practice. We hope to write articles on this work for media outlets that draw educationally oriented audiences. To reach parents as well, we will coordinate with popular media outlets to disseminate the results of this work to general audiences. More generally, we will make every effort to ensure that the findings have maximal societal impact, raising awareness of effort-vs.-talent stereotypes among parents, educators, and the general public.
Andrei Cimpian, PhD (@AndreiCimpian), Professor of Psychology at New York University, has conducted extensive research on children’s conceptual development, explanations, and motivation in school.
Written by Yuri Lin (email@example.com), intern for the Institute of Education Sciences.
Photo credit: Brian Stauffer