Re-assessing the incremental predictive validity of Implicit Association Tests

Contributors:
  1. Jacalyn Huband

Date created: | Last Updated:

: DOI | ARK

Creating DOI. Please wait...

Create DOI

Category: Project

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).

Wiki

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., ...

Files

Loading files...

Citation

Components

  • Data


    Recent Activity

    Loading logs...

  • Analysis Scripts


    Recent Activity

    Loading logs...

  • Study Materials

    Axt, Huband, Buttrick & 1 more

    Recent Activity

    Loading logs...

  • Online Supplement

    Axt, Huband, Buttrick & 1 more

    Recent Activity

    Loading logs...

Recent Activity

Loading logs...

OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.