Sexism is hard to quantify. But in some ways, it can be tested with controlled experimentation.
One example:
It's a free country and women can be anything, and that's true. But when women are under-represented in areas, a chunk of it is because of discrimination like this. Identical applications with different gendered names led to a big difference in the scientists' assessment of competence, hire-ability, whether they'd mentor them, and what salary they would give. Both male and female scientists discriminated negatively against the identical applications from the female names.
Similarly:
In many industries, women start with an inherent disadvantage and have to do better than a man for the same result. Sexism is sometimes measurable and quantitatively evidenced.
One example:
Source.But in a groundbreaking study published in PNAS [in 2012] by Corinne Moss-Racusin and colleagues, that is exactly what was done. On Wednesday, Sean Carroll blogged about and brought to light the research from Yale that had scientists presented with application materials from a student applying for a lab manager position and who intended to go on to graduate school. Half the scientists were given the application with a male name attached, and half were given the exact same application with a female name attached. Results found that the “female” applicants were rated significantly lower than the “males” in competence, hireability, and whether the scientist would be willing to mentor the student.
It's a free country and women can be anything, and that's true. But when women are under-represented in areas, a chunk of it is because of discrimination like this. Identical applications with different gendered names led to a big difference in the scientists' assessment of competence, hire-ability, whether they'd mentor them, and what salary they would give. Both male and female scientists discriminated negatively against the identical applications from the female names.
Similarly:
Source.Researchers presented 222 MBA students with mock prospectuses with data based on a cosmetic surgery company that went through a real IPO led by Goldman Sachs. The prospectuses were identical except for the gender of the CEO and the sex ratio of the top management team. Photos of senior executives were included (and had been pre-tested to ensure they were ranked equally in terms of levels of attractiveness) and showed only Caucasian executives to control for the influence of ethnic or racial biases on the results. While the male: female ratio of the top management team didn’t have an effect on how students evaluated the IPOs, the recommended percentage to invest in the IPO was almost four times higher for firms with male CEOs at the helm than for those with female CEOs. Also, the anticipated share price of IPOs led by male CEOs was approximately 11% higher than those of female-led IPOs. Although both male and female respondents evaluated CEOs of their own gender more favorably, the effect was more pronounced for male respondents. According to the researchers:
“Taken as a whole, our results suggest that gender stereotypes are alive and well. Moreover that such stereotypes impact investment decisions, even though information is available to investors that clearly is counter to the prescriptive implications of stereotypical thinking.”
In many industries, women start with an inherent disadvantage and have to do better than a man for the same result. Sexism is sometimes measurable and quantitatively evidenced.