Predicting intergroup discrimination using the Implicit Association Test: Meta-analysis and recommendations for future research

Benedek Kurdi; Allison E. Seitchik; Jordan Axt; Timothy Carroll; Arpi Karapetyan; Neela Kaushik; Diana Tomezsko; Anthony G. Greenwald; Mahzarin R. Banaji

doi:10.17605/OSF.IO/SVNTJ

Title	Authors

Predicting intergroup discrimination using the Implicit Association Test: Meta-analysis and recommendations for future research

Contributors:

Date created: | Last Updated:

: DOI | ARK

Creating DOI. Please wait...

Create DOI

Category: Project

Description: A meta-analysis found significant correlations between Implicit Association Tests and a wide range of intergroup behaviors and identified crucial areas for improvement, including ensuring adequate statistical power, considering the influence of methodological variables on effect sizes, adopting a structural equation modeling approach to data analysis, and using repeated measurement designs.

Projects
Registrations

Results: All Projects Results: My Projects Results: All Registrations Results: My Registrations

Files

Loading files...

Citation

Recent Activity

Loading logs...

OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.

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.

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.

Create an Account Learn More Hide this message

Main content

Links to this project

Predicting intergroup discrimination using the Implicit Association Test: Meta-analysis and recommendations for future research

Link other OSF projects

Files

Citation

Recent Activity

Start managing your projects on the OSF today.