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***error in data; variables tblack and twhite had values 0 to 10 for years 2002-2013 and 1 to 11 for years 2014 and 2015 - PLEASE DOWNLOAD THE UPDATED FILES posted on 10/17/16*** ****From 3/2/2017 - 3/15/2017 some participants' IAT scores between September 2016 and December 2016 were missing**** Since 2002, the Race IAT has been available on the Project Implicit demonstration website ( Click on “Race IAT” to try it yourself). The Race IAT includes one standard IAT (White faces vs. Black faces; Good vs. Bad), sets of explicit measures on racial attitude (such as thermometer of race), sets of personality and political opinion questions (such as Big Five Inventory, Bayesian Racism Scale, Right-Wing Authoritarianism, etc.; subjects only answer 10 randomly selected questions out of all the sets), set of demographic questions (age, gender, race, political identity, etc.), and debriefing questions about how respondents thought about their IAT score after the task. From 2002 to the end of 2017, there are 7,569,219 session IDs created for Race IAT, and the overall completion rate is 45.1%. There are 4,606,655 respondents who completed the standard IAT part of the task, which is 60.9% of the total respondents. Under this OSF project, you may download 1) Race IAT data sets with IAT score computed, self-report data labeled, and demographic information by year or for all years; 2) codebooks associated with each data set; 3) experiment materials and description of procedure; 4) Skeleton syntax for SPSS to start your own data analysis. The public data sets don't have participants' zip code/postcode to protect privacy. The data sets, however, have state, county, Metropolitan Statistical Area information for respondents who reported US zip codes. These data can be cited with this publication: Xu, K., Nosek, B. A., & Greenwald, A.G. (2014). Psychology data from the Race Implicit Association Test on the Project Implicit Demo website. Journal of Open Psychology Data 2(1):e3, DOI: Please contact Project Implicit at for any question or comment.
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