Data · dataset · 2009
Joy-Gaba and Nosek (2010): The Surprisingly Limited Malleability of Implicit Racial Evaluations
Listed in Harvard Dataverse
Implicit preferences for Whites compared to Blacks can be reduced via exposure to admired Black and disliked White individuals (Dasgupta & Greenwald, 2001).
Description
In four studies (total N=4,628), while attempting clarify the mechanism, we found that implicit preferences for Whites were weaker in the “positive Blacks” exposure condition compared to a control condition (weighted average d=.08). This effect was substantially smaller than the original demonstration (Dasgupta & Greenwald, 2001; d=.82).
Factors beyond exposure to admired Blacks may be necessary for the effect, such as making race accessible during exemplar exposure, and in cluding negative White exemplars. Our evidence suggests that exposure to known-group members shifts implicit race bias reliably, but weakly.
Links
Where it is published
- Dataverse dataset page dataverse.harvard.edu/dataset.xhtml?persistentId=doi%3A10.7910%2FDVN%2FNZNDMX ↗
landing page · from Harvard Dataverse
- DOI doi.org/10.7910/dvn/nzndmx ↗
DOI / persistent id · from Harvard Dataverse
Catalogue records · 1
- Dataverse API dataverse.harvard.edu/api/datasets/:persistentId/?persistentId=doi%3A10.7910%2FDVN%2… ↗
metadata API · from Harvard Dataverse
Provenance · 1 source records, 6 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Harvard Dataverse | doi:10.7910/DVN/NZNDMX | 15 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| created_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| description | source · Harvard Dataverse | connector:dataverse@1.0.0 | /description |
| publication_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| title | source · Harvard Dataverse | connector:dataverse@1.0.0 | /name |
| updated_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| version_label | source · Harvard Dataverse | connector:dataverse@1.0.0 |