Why might a woman be told she did a “great job” at work yet be passed over for raises or a promotion? She may have been the victim of shifting standards.
It’s no secret that Silicon Valley employs many more men than women in tech jobs. What’s much harder to agree on is why.
The recent anti-diversity memo by a now former Google engineer has pushed this topic into the spotlight. The writer argued there are ways to explain the gender gap in tech that don’t rely on bias and discrimination – specifically, biological sex differences. Setting aside how this assertion would affect questions about how to move toward greater equity in tech fields, how well does his wrap-up represent what researchers know about the science of sex and gender?
Averaging the implicit bias of hundreds of thousands of individuals to understand how “biased” a community is, predicts the likelihood of African Americans being killed by police.
The racial biases of Whites in a community predict how many African-Americans are killed by police in a given area, according to results of a paper published in the journal Social Psychological and Personality Science.
As 2016 comes to an end, the editors take a look back at the most read posts of the year. Some are quickly becoming classics, while others tackle new research or cover discussions important to the field. Take a look for yourself.
When it comes to prejudice, it does not matter if you are smart or not, or conservative or liberal, each group has their own specific biases. In a recent study, psychologists show that low cognitive ability (i.e., intelligence, verbal ability) was not a consistent predictor of prejudice. Cognitive ability, whether high or low, only predicts prejudice towards specific groups. The results are published in the journal Social Psychological and Personality Science.