The Psychological Science Accelerator’s (PSA) primary project tested for latent structure using exploratory factor analysis and confirmatory factor analysis but we decided to diverge from this approach and model individual traits separately. Our interest mainly was in examining the interplay between “stimulus ethnicity” and “stimulus sex” to discover how differing levels of these criterion differ across region, country, lab etc. While the necessary and prerequisite hierarchical structural information about each trait could certainly be found within the primary project’s dataset, we did not assume that any specific factor structure from the PSA’s primary analysis would necessarily hold, therefore we based our decision to model the data from each trait separately using a mixed model framework.