We analyzed ratings of facial attractiveness using a mixed-model analysis of variance (ANOVA), with condition as a between-subject factor and the different faces as a within-subject factor. There was a trending difference between the control and copulin condition,
F(1, 97) = 3.26,
p = .074, partial η[SUP]2[/SUP] = .03;
facial attractiveness ratings were higher in the copulin condition (M = 2.4, SD = 0.6) than in the control condition (M = 2.1, SD = 0.6).
We next tested if men exposed to copulins were less discriminating when rating facial attractiveness by calculating a variance across ratings for each participant; this was analyzed with a between-subjects
t-test. There was no difference between the control and copulin,
t(97) = −1.27,
p = .209; variance across ratings were similar in the control (
M = 0.72,
SD = 0.39) and copulin (
M = 0.81,
SD = 0.39; see
Figure 1), suggesting men exposed to copulins were equally discriminating when ratings facial attractiveness.
theconversation.com
