Looks matter when it comes to success in STEM, study shows

New research finds that racial stereotypes around appearance impact student achievement

Demand for science, technology, engineering and math (STEM) degrees is on the rise. However, there are many barriers to gaining one.

One may be the appearance of the student seeking the degree, according to a new Rice University study. The extent to which students look racially stereotypical – that is, more or less like members of their racial group – influences how likely they are to persist in a STEM-related field.

Mikki Hebl. Photo by Jeff Fitlow.

Mikki Hebl. Photo by Jeff Fitlow.

“The Face of STEM: Racial Phenotypic Stereotypicality Predicts STEM Persistence by – and Ability Attributions About – Students of Color” appears in the Journal of Personality and Social Psychology.

Researchers Mikki Hebl, the Martha and Henry Malcom Lovett Chair of Psychological Sciences and Professor of Management at Rice; Melissa Williams, Goizueta Foundation Term Associate Professor of Organization and Management at Emory University; and Julia George-Jones, Ph.D. candidate in Educational Psychology at the University of Texas at Austin, were not interested in looking at differences across races. Rather, they were interested in focusing on differences within races.

Examining five years’ worth of students who entered college intending to pursue a STEM degree, the researchers measured their persistence at remaining in a STEM discipline. They coded photos on the extent to which students exhibited physical features considered stereotypical for their races (white, black or Asian).

Using logistic regression analysis, the researchers found that Asian students who looked more (versus less) racially stereotypical were significantly more likely to complete a bachelor’s degree in STEM. However, black students who looked more racially stereotypical were less likely to complete a STEM degree. There were no meaningful differences reported for white students.

“I think we live in a presumed meritocracy where people believe what you get on tests and how you do in the classroom is what matters,” Hebl said. “Our research says that your looks do matter and can impact your likelihood to depart or remain in a STEM field. And that is pretty shocking.”

In an attempt to identify the source of such biases, the researchers invited academic advisers from 50 top U.S. universities to participate in a follow-up study. Advisers were shown two photos (one higher and one lower in stereotypicality but always of the same race and gender) and told to recommend which of the two should take a STEM-related class.

The responses were consistent with the findings in the first part of the study. Advisers were considerably more likely to choose Asian male and female students who looked more stereotypically Asian to take the STEM class. Advisers were less likely to choose those who looked more stereotypically black among women.

The researchers found one inconsistency with the earlier findings: The pattern that academic advisers showed for black women did not extend to black men. That is, the advisers were more likely to say that a black male with a more (versus less) stereotypical appearance would be more successful in STEM. Hebl thinks a possible cause that this finding emerges because of heightened sensitivities to black men in the current political culture and movements such as #BlackLivesMatter. She suggested very stereotypical black men may have led participants to double check their behavior.

“We have some evidence that the extent to which people tried to suppress their motivation to be prejudiced predicted their responses to black men, but only to them,” Hebl said.

When the researchers controlled for the motivation to control prejudice, indeed they found that the pattern for black men resembled the pattern for black women – that is, the less-stereotypical face led to perceptions of greater STEM ability.


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