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Re-assessing the incremental predictive validity of Implicit Association Tests
- Nick Buttrick
- Jordan Axt
- Charles R. Ebersole
- Jacalyn Huband
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Description: This project will examine the ability of the Implicit Association Test (IAT) to predict outcomes above and beyond explicit attitudes using Structural Equation Modeling (SEM). SEM allows for tests of incremental predictive validity while avoiding some of the issues of ordinary least squares regression with regard to false positives (OLS regression has been the primary model for testing the incremental predictive validity of the IAT in the past).
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., …
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