Dr. Desiree A. Crevecoeur-MacPhail
The implicit association test's (IAT) popularity has increased since it was first developed in 1995, and researchers still debate its usefulness today. It is currently being used in schools, businesses, and other settings, particularly to determine race-based implicit biases. This study examines how different factors can affect one's results on the implicit association test and compare their results on the IAT with an explicit measure of racial bias. Past research indicated a decrease in implicit association test scores if the participants had a greater familiarity with the IAT and if they underwent training for implicit biases. Research also suggests that white participants would have higher scores of white preference on the IAT. Overall, participants would also be more likely to have lower scores of bias on the explicit measure of racial bias than their results on the implicit association test. To examine these hypotheses, participants were asked to take the implicit association test two times and take another questionnaire, including the measure of explicit racial bias. Half of the participants also underwent implicit bias training. The outcome of this study found no statistically significant results for the four hypotheses that were investigated. Further research is needed to determine if statistically significant results can be found with a larger, less-limited sample group.
Norum, Rachel, "The Impacts of Race Implicit Association Test Training on Undergraduate Students" (2021). Student Scholar Symposium Abstracts and Posters. 459.