Main content

Date created: | Last Updated:

: DOI | ARK

Creating DOI. Please wait...

Create DOI

Category: Project

Description: Abstract A long-standing debate in social psychology is whether the cognitions reflected on implicit measures are unconscious. Research by Hahn et al. (2014) has documented that people are able to predict the patterns of their results on Implicit Association Tests (IATs) towards five pairs of social groups prospectively. The present article presents a meta-analysis of 17 published and unpublished exact replication studies conducted by or in close supervision of the original author. Replicating Hahn et al., participants in all 17 studies were able to accurately predict the patterns of their IAT results (meta-analytical within-subject correlation: b = .44; corrected average within-subjects correlation r = .56). This prediction accuracy effect was smaller for online (b = .27; corrected r = .37) than lab (b = .47; corrected r = .61) studies, as well as for general-public (b = .27; corrected r = .36) as opposed to student samples (b = .47; corrected r = .60). Moreover, predictions fully explained implicit-explicit relations, and they seemed to reflect unique insights into participants’ own cognitions beyond mere knowledge about normatively expected patterns of implicit responses. This pattern of results remained the same across samples, settings, countries (Canada, US, and Germany), and languages (English vs. German). Further analyses suggested that lower prediction accuracy in online samples seems to partly reflect a suppression effect from higher consistency between traditional explicit evaluations and predictions. Controlling for explicit evaluations (which exerted a negative unique effect on IAT scores beyond IAT score predictions) reduced the difference between online and lab studies substantially. Together, the results strengthen the hypothesis that the cognitions reflected on implicit evaluations are largely accessible to conscious awareness.

Files

Files can now be accessed and managed under the Files tab.

Citation

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.