Congrats to Dr. Jordan Axt and colleagues on their recent publication in Personality and Social Psychology Bulletin
Measures of implicit associations are influential in prejudice research, illustrating how interpersonal beliefs can be shaped by automatic psychological processes. Unfortunately, how well these measures predict performance, their predictive power, is not well understood. A recent large-scale analysis of four commonly used implicit association measures that was led by Professor Jordan Axt aimed to identify the predictive ability of common measures of implicit bias and prejudice. The team found that one measure, the single-category Implicit Association Test was superior in two estimates of predictive validity. The results highlight how conclusions about predictive validity across studies can vary drastically depending on the selected measure used.