Inter-rater agreement for these ratings was high (Cronbach’s alpha for men rating women, men rating men, women rating women, and women rating men were all >0.90). Participants also completed the TDDS (Table 1). Responses on the three TDDS subscales were scored following selleck chemicals llc Tybur et al. (2009). Higher scores represent greater disgust sensitivity. The TDDS and face ratings were completed in a fully randomized order. Male and female faces were presented in separate, randomly ordered

blocks of trials in the face-rating task, and, within each block, trial order was fully randomized. The order of TDDS items was also fully randomized in the questionnaire block. As in previous research (Tybur, Bryan, Lieberman, Caldwell Hooper, & Merriman, 2011), women reported greater sexual (t(61) = 7.10, p < 0.001, d = 0.90) and pathogen (t(61) = 2.20, p = 0.032, d = 0.28) disgust than men. Women and men did not differ significantly in moral disgust (t(61) = −0.23,

p = 0.82, d = 0.03). Partners’ scores for sexual disgust were positively correlated (r = 0.38, N = 62, p = 0.002), but partners’ scores for pathogen (r = −0.01, N = 62, selleck inhibitor p = 0.95) and moral (r < 0.01, N = 62, p > 0.99) disgust were not. For each participant, we first calculated the correlation between (1) their attractiveness rating for each of the 50 men’s faces and those 50 men’s rated facial adiposity (mean r = −0.14, SD = 0.14), (2) their attractiveness rating for each of the 50 men’s faces and those 50 men’s BMI (mean r = −0.09, SD = 0.14), (3) their attractiveness rating for each of the 50 women’s faces and those 50 women’s rated facial adiposity (mean r = −0.19, SD = 0.13), and (4) their

attractiveness rating for each of the 50 women’s faces and those 50 women’s BMI (mean r = −0.24, SD = 0.12). Note that this procedure produces four correlation coefficients for each participant (representing their preferences for perceived adiposity in male faces, cues of BMI in male faces, perceived adiposity in female faces, and cues of BMI in female faces, respectively). These preference scores (i.e., correlation CYTH4 coefficients) served as the dependent variables in subsequent analyses. For each of these preference scores, larger positive values indicate stronger preferences for facial cues of heavier weight and larger negative values indicate stronger preferences for facial cues of lower weight. In order to establish whether preferences for rated adiposity and preferences for cues of BMI measure similar constructs, we analyzed men’s and women’s preference scores for own-sex and opposite-sex faces using factor analysis.