Psychology data from the Race Implicit Association Test on the Project Implicit Demo website
By Kaiyuan Xu, Brian A. Nosek, A. Greenwald. 2014
159 citations recorded by the source corpus.
This data archive includes Race Implicit Association Test (IAT) scores of 2,355,303 Internet volunteers who completed educational/demonstration versions of the Race IAT at https://implicit.harvard.edu from 2002 to 2012. Data in this archive can be downloaded for all years, either separately by year or in a single file. Codebooks, indicating the variable labels and value labels, and changes of variables over years, are available for both individual-year data sets and the entire data set. Participation in the (still on-going) Race IAT “study” at the Project Implicit (PI) demonstration site includes completion of the Race IAT along with demographic questions, self-report measures of racial attitude, and various additional measures received by a portion of the participants. These data allow analyses involving changes in responding over time and interrelations among IAT and self-report measures of race attitudes, as well as the association of each of these with demographics. This archive is available at http://osf.io/project/52qxL/ . Dataset The Data described in this paper is available from the Open Science Framework: https://osf.io/52qxl/ [ 1 ]
Subfields: Social Psychology, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/62c9b257a6ef98d8a7e3935ffafaab24768bc4fa
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Social Psychology
- Mark J. Chin
- Travis A. Riddle
- Eric Hehman
- S. Sinclair
- Natasha Warikoo
- James R. Rae
- Kristina R. Olson
- David M. Quinn
In Sociology and Political Science
- Mark J. Chin
- Travis A. Riddle
- Eric Hehman
- S. Sinclair
- Natasha Warikoo
- James R. Rae
- Kristina R. Olson
- David M. Quinn
Citations in the corpus
- Exposure to Racial Out-Groups and Implicit Race Bias in the United States (2015, methodology): “Because the IAT available in the public-use data set (Xu et al., 2014) measures implicit bias favoring Whites over Blacks (or vice versa), our primary predictor was the ratio of these two groups.”
- Teachers Are People Too: Examining the Racial Bias of Teachers Compared to Other American Adults (2020, methodology): “The size and corresponding statistical power of the Project Implicit data make small”
- Bias in the Air: A Nationwide Exploration of Teachers’ Implicit Racial Attitudes, Aggregate Bias, and Student Outcomes (2020, background): “A key data source was Project Implicit, an archive of Internet volunteers who visited the Project Implicit website (Xu et al., 2014).”
- Disproportionate Use of Lethal Force in Policing Is Associated With Regional Racial Biases of Residents (2018, methodology): “These and other links might explain why Project Implicit respondents’ bias is related to the behavior of police in their region.”