!!!All of the variables beginning with "x" (e.g., xatt) have flipped values and will need to be re-coded for analysis. If you downloaded the 2010 OR all years file before 9/24/2017 please run the "error_fix_for_variables_beginning_with_x.sps" syntax to fix the labels. !!! !!!"edu" variable was wrongly renamed in the 2005 data. If you downloaded the .zip file for the 2005 or 2004-2013 before June 9, 2014, please run the "Edu error fixing for 2005 data.sps' syntax in the file section on the data files to fix this error. !!! ***** From 2004 to present, the Skin Tone IAT was available on the Project Implicit demonstration website (https://implicit.harvard.edu/implicit/selectatest.html Click on “Skin IAT” to try it yourself). The Skin Tone IAT includes one standard IAT (Light skinned face vs. Dark skinned face; Good vs. Bad objects), sets of explicit measures (such as thermometer for light-skinned and dark-skinned people), 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, education level, skin tone, etc.), and debriefing questions about how respondents thought about their IAT score after the task. Since late 2010, the Skin Tone IAT was also used to collected data on questionnaires not directly related to Skin Tone IAT, for detailed information please contact Project Implicit at admin@projectimplicit.net. From 2004 to the end of 2017, there are 2,026,454 session IDs created for Skin Tone IAT, and the overall completion rate is around 44.6%. There were 1,207,720 respondents who completed the standard IAT part of the task, which is 59.6% of the total respondents. Under this OSF project, you may download 1) Skin Tone 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. Please contact Project Implicit at admin@projectimplicit.net for any question or comment.