!!! *Please note:* Geographic information was not collected during 2005 !!!
From 2004 to present, the Sexuality IAT was available on the Project Implicit demonstration website (https://implicit.harvard.edu/implicit/selectatest.html Click on “Sexuality IAT” to try it yourself). The Sexuality IAT includes one standard IAT (Gay/Lesbian vs. Straight; Good vs. Bad), sets of explicit measures on topics related to sexuality (such as frequency of contacting gay/lesbian people, opinion on gay marriage, parenting preference, etc.), set of demographic questions (age, gender, race, sexuality, political identity, etc.), and debriefing questions about how respondents thought about their IAT score after the task.
From 2004 to the end of 2017, there are 3,040,264 session IDs created for Sexuality IAT, and the overall completion rate is around 46.2%. There are 1,931,171 respondents who completed the standard IAT part of the task, which is 63.5% of the total respondents.
There have been only a few analyses of the Sexuality IAT data. Rachel Riskind used part of the data (2011 to 2012) for her Ph.D. dissertation at University of Virginia. Erin Westgate, together with Rachel Riskind and. Brian Nosek, is analyzing the data set (2004 to 2013) for a manuscript also at University of Virginia. There is the Nosek, Smyth, et al. 2007, *Pervasiveness and correlates of implicit attitudes and stereotypes* paper published using part of the sexuality IAT data (2001-2006).
Under this OSF project, you may download 1) Sexuality 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.
