This week I refocused and was able to get a lot done. The catalyst to my productive week was deciding on a date for my actual study to take place with the History Department head. I’m going to administer my test to the Peace and Justice classes at Westtown in the first week of November, giving me enough time to analyze the data.
At first, I thought it might be best to measure the participants’ baseline for implicit bias with the Project Implicit Test. Although this test is fairly accurate, it does not give the result in a numerical quantity, which makes it very difficult to track progress. So instead of using the existing test, I have decided to create my own model.
My test will be based on the principle of facial recognition, which I covered in a previous blog post. According to an interesting published work I read, there is “a causal link between the Other-Race Effect and implicit racial bias.” The authors also conclude that “training that ameliorates the perceptual Other-Race Effect also reduces socio-cognitive implicit racial bias.” This means that with a facial recognition test, I will be able to detect implicit bias and attach a quantity to said bias.
The test will be fairly simple. The participants will be presented with a list of racially ambiguous people (some smiling, some frowning). The participants will then be asked to identify if each person is White or African American. I will be able to detect bias if the participant identifies a smiling person as their same race or a frowning person as a different race. I hope it works out!