Understanding and Using the Brief Implicit Association Test: Recommended Scoring Procedures

Affiliated institutions: University of Virginia

Date created: | Last Updated:

: DOI | ARK

Creating DOI. Please wait...

Create DOI

Category: Project

Description: A brief version of the Implicit Association Test (BIAT) has been introduced. The present research identified analytical best practices for overall psychometric performance of the BIAT. In 7 studies and multiple replications, we investigated analytic practices with several evaluation criteria: sensitivity to detecting known effects and group differences, internal consistency, relations with implicit measures of the same topic, relations with explicit measures of the same topic and other criterion variables, and resistance to an extraneous influence of average response time. The data transformation algorithms D outperformed other approaches. This replicates and extends the strong prior performance of D compared to conventional analytic techniques. We conclude with recommended analytic practices for standard use of the BIAT.

License: CC0 1.0 Universal

Wiki

Materials and data for investigation of scoring procedures for the Brief Implicit Association Test. Article was published in PLOS ONE. Files include the main tables and supplementary tables for the article evaluating BIAT scoring procedures. Also, the supplement pdf presents evidence that the ABAB block design for the BIAT avoids a confounding influence of block order across all three domains t...

Files

Loading files...

Citation

Components

  • Data sets


    Recent Activity

    Loading logs...

Tags

Recent Activity

Loading logs...

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.

Create an Account Learn More Hide this message