!!!"num" variable was wrongly coded thus data was missing for the whole year. Please download the most recently uploaded file on 11/21/2017 if you used the data before that date!!! !!!There were several errors in the coding of the "att" , "tthin" "tfat" and several other explicit items from 2010-2014. Please download the updated files that were uploaded on 10/17/16!!! !!!"Stimuli" variable was wrongly coded in the 2015 data. If you downloaded the .zip file for 2015 before October 18, 2016, please run the "5.fix Stimuli coding error in 2015 data.sps' syntax in the file section on the data files to fix this error. !!! !!!"edu" variable was wrongly renamed in the 2005 data. If you downloaded the .zip file for 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 Weight IAT was available on the Project Implicit demonstration website (https://implicit.harvard.edu/implicit/selectatest.html Click on “Weight IAT” to try it yourself). The Weight IAT includes one standard IAT (Fat vs. Thin; Good vs. Bad), sets of explicit measures (such as attitudes toward fat or thin people), set of demographic questions (weight, height, age, gender etc.), and debriefing questions about how respondents thought about their IAT score after the task. From 2004 to the end of 2017, there are 2,205,917 session IDs created for Weight IAT, and the overall completion rate is around 47.6%. There were 1,447,067 respondents who completed the standard IAT part of the task, which is 65.6% of the total respondents. Under this OSF project, you may download 1) Weight 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.