There had been several extreme covariates, but not, and now we synopsis the full effects here (to possess info, see Dining table 5 )
Outcome of standard linear blended consequences model forecasting and therefore seen properties of one’s address female influenced objectification analysis having fun with Variety of III ANOVA.
Note: For every design only integrated details toward large quantity of importance on Possibilities Ratio Shot ( Table 4 ). Items were analyzed individually because the per fellow member replied a special subset regarding questions relating to a different sort of subset off target women, so because of this factors can’t be combined to form overall indicator off for every construct.
Patiency
As Table 5 shows, the sex of the participant significantly influenced all four items of target women’s mental and moral patiency attribution. Target women perceived as open to casual sex were rated by male and female participants as less capable of feeling fear or pain (Fear: ? = -0.33, SE = .07; Pain: ? = -0.23, SE = .06). In addition, results show that as a target woman’s perceived intent to pursue casual sex increased, male and female participants cared less about someone taking advantage of her or manipulating her themselves (Take Advantage: ? = -0.40, SE = .10; Manipulate: ? = -0.30, SE = .07). For both male and female participants, a target woman’s attractiveness was positively related to her perceived ability to feel pain but not her ability to feel fear (Pain: ? = 0.09, SE = .03). Both male and female participants also cared more about someone taking advantage of a target woman if she was more attractive, but attractiveness did not affect how bad participants felt to manipulate a target woman themselves (Take Advantage: ? = 0.15, SE = .05).