The original race IAT by Greenward implemented 12 (6 european americans and 6 african americans) faces and 16 words (8 positive and 8 negative), which makes the trial structure very tricky.
In OpenIAT version, 10 faces and 10 words are used.
The implementation of race IAT in other flatform (i.e. Minno.js) also matched the numbers of words and faces.
It’s very confusing how the original design counterbalanced the stimuli and categories.
Anybody implemented it to OpenIAT have some idea how they dealt with it?