What cognitive mechanisms do people reflect on when they predict IAT scores?

Research indicates that individuals can prospectively predict biases they will show on the IAT (Hahn, Judd, Hirsh, & Blair, 2014). The present study uses the Quadruple process model to analyze data from Hahn et al. (2014) to investigate which cognitive mechanisms people reflect on when predicting their racial bias scores on the IAT. The Quadruple process model reveals that a combination of activated associations and self-regulatory control best explains what participants report when they predict their biases on the IAT. Further, it appears to be specifically the total activation of positive attitudes toward Whites and negative attitudes toward minorities rather than negative attitudes towards minorities alone, that participants use to make their predictions.