I computed indicate recommendations for every single of your 283 stimulus all over this new 7 evaluative size and you will conducted about three ine the newest determine away from facial term, the latest sex and you may competition/ethnicity of design for each changeable (post-hoc evaluations was conducted with Bonferroni modification and just the ultimate thinking will be presented). Descriptive abilities (mode and you can important deviations) is described from inside the Desk 6.
Familiarity.
Familiarity ratings varied according to the type of facial expression, F(1,6) = 7.53, MSE = 1.27, p 2 = .14. Photographs displaying surprise obtained the highest familiarity ratings, all ps ? .008 (but not different from sadness, p = .053, fear, p = .617 and happiness, p = 1.000), and neutral photographs obtained the lowest familiarity ratings, all ps 2 = .01, or race/ethnicity, F(4,278) = 1.57, MSE = 0.28, p = .182, ?p 2 = .02.
Attractiveness.
Attractiveness reviews in addition to ranged centered on face expression, F(step one,6) = six.69, MSE = step one.49, p 2 = .13. Photographs showing happiness gotten the best attractiveness studies, most of the ps ? .019 (although not distinctive from anxiety, simple and surprise, most of the ps = 1.000), and the ones exhibiting disgust gotten a low attractiveness analysis, all ps ? .002 (although not different from outrage, fear, simple and you will depression, the ps > .099).
61, MSE = 0.65, p = .107, ?p 2 = .01. However, results show the impact of model’s race/ethnicity on attractiveness ratings, F(4,278) = 7.96, MSE = 1.80, p 2 = .10. Specifically, African-American models obtained the highest attractiveness ratings, all ps ? .007 (but not different from Asian and European, both ps = 1.000) and South Asian models obtained the lowest attractiveness ratings, all ps 2 = .75. Specifically, we observed that models displaying anger were perceived as more aroused, all ps ? .001 (but not different from surprise, p = .214), and that those with neutral expressions obtained the lowest arousal ratings, all ps 2 = .87, such that photographs displaying happiness were rated as the most positive, all ps 2 = .00, or the model’s race/ethnicity, F 2 = .49. Specifically, happiness was perceived as the clearest expression, all ps 2 = .19, with photographs displaying happiness perceived as the most genuine, all ps ? .031 (but not different from fear and surprise, both ps = 1.000), and photographs displaying sadness rated as the least genuine, all ps ? .016 (but not different from anger, p = .112).
Genuineness ratings did not vary according to the sex of the model, or its race/ethnicity, both F 2 = .67, with photographs displaying anger perceived as the most intense, all ps 2 = .16 (see Table 6). Post-hoc comparisons with Bonferroni correction, showed that photographs displaying happiness obtained the highest accuracy rates, all ps ? .001 (but not different from anger, p = .080, and surprise, p = .252), and that photographs displaying fear obtained the lowest accuracy rates, all ps ? .040 (but not different from sadness, p = .839 
, and disgust, p = .869). Accuracy rates did not vary according to the sex, F(1,281) = 1.37, MSE = , p = .243, ?p 2 = .01, or the model’s race/ethnicity, F 2 = .01, such that the accuracy rates observed with the Portuguese sample (M = 74.3%, SE = .94) were lower than the ones reported in the original validation sample (M = 77.8%, SE = .94). We also observed a main effect of emotion, F(6,552) = , MSE = , p 2 = .20, such that photographs displaying happiness obtained the highest accuracy rates, all ps 2 = .04 (see Fig 1).
