From 2006 to present, the Weight IAT was available on the Project Implicit France website (https://implicit.harvard.edu/implicit/france/selectatest.jsp Click on “Poids” 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. The study is in French.
From 2006 to the end of 2016, there are 34,816 session IDs created for Weight IAT, and the overall completion rate is around 42.1%. There were 18,761 respondents who completed the standard IAT part of the task, which is 53.9% 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. If you are interested in the zip code/postcode data, you may submit an ethical approval from your institution or organization. Upon verification, you will be able to download the zip code/postcode data.
Please contact Project Implicit at admin@projectimplicit.net for any question, comment or zip code data request.
