This page includes the data, materials, and analysis scripts for a large data collection concerning the incremental predictive validity of the Implicit Association Test (IAT). Participants were volunteers recruited from Project Implicit and were randomly assigned to complete IATs about one of 10 possible topics. Within each study session, participants completed the IAT, a parallel explicit (i.e., self-report) measure, and 25 criterion variables selected to cover a range of topics (five items each concerning policy support, beliefs about target group members, motivations to control prejudice, anticipated responses in intergroup interactions, and degree of intergroup contact). Our primary research question concerns comparing the rates of incremental predictive validity (i.e., finding that the IAT reliably predicts a criterion variable after controlling for the parallel explicit measure) when using OLS and SEM analyses. Data collection has already occurred. We targeted a sample of at least 1,043 participants who completed each IAT, self-report measure, and criterion variable. This sample provided 90% power for detecting even a small (r = .10) correlation. We have not run any SEM analyses on the full dataset. As a result, this page serves as a pre-registration of our analysis plan. ---------- The registration of this project can be found [here][1] [1]: https://osf.io/vxu4r/