The only ones who didn’t show biases against interracial couples were multiracial people.Nonetheless, in 2015, 14 percent of all babies born nationwide were mixed race or mixed ethnicity – nearly triple the rate in 1980. So despite the persistence of bias against interracial couples, the number of multiracial people in the U. will only continue to grow – which bodes well for interracial couples.
In this case, we assessed explicit biases by simply asking participants how they felt about same-race and interracial couples.
We assessed implicit biases using something called the implicit association test, which requires participants to quickly categorize same-race and interracial couples with positive words, like “happiness” and “love,” and negative words, like “pain” and “war.” If it takes participants longer to categorize interracial couples with positive words, it’s evidence that they likely possess implicit biases against interracial couples.
Allison Skinner does not work for, consult, own shares in or receive funding from any company or organisation that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment. More interracial relationships are also appearing in the media – on television, in film and in advertising.
census, approximately 15 percent of all newlywed couples are interracial.
The lines indicate the average discrepancy in the length of time it took participants to associate interracial couples with positive words, when compared to associating same-race couples with positive words.
Notice that for multiracial participants, this average discrepancy overlaps with zero, which indicates a lack of bias.
In contrast, participants who identified as multiracial showed no evidence of bias against interracial couples on either measure.
The figure below shows the results from the implicit association test.
Next is a figure detailing the results from the explicit bias test, with lines measuring average levels of explicit bias against interracial couples.
Positive values indicate bias against interracial couples, while negative values indicate bias in favor of interracial couples.
So someone who plainly states that people of different races shouldn’t be together would be demonstrating evidence of explicit bias.