Dec 05, 2006 00:49
A 2 x 2 x 2 repeated measures ANOVA was conducted to evaluate the effects of success (unsuccessful versus successful), sex of participant, and sex of person pictured on ratings of attraction. The three-way interaction of success, sex of participant, and sex of person pictured was not significant, F(1,46) = .098, p>.05. The interactions of success and gender [F(1,46) = 2.303, p>.05], and success and sex of person pictured [F(1,46) = 3.2, p>.05] were not significant. However, the interaction between sex of participant and sex of person pictured [F(1,46) = 23.02, p<.05] was significant. The main effect of sex of the person pictured [F(1,46) = .114, p>.05] was not significant. However, the main effect of success [F(1,46) = 30.178, p<.05] was significant. Participants rated successful people as more attractive (M = 9.34, SD = 2.01) than unsuccessful people (M = 7.99, SD = 2.05). Male participants rated people with lower scores (M = 5.28, SD = 1.25) than women (M = 6.13, SD = 1.09).
A Pearson correlation was conducted to examine the relationship between the NEO PI-R score and the average attractiveness ratings of successful people as well as unsuccessful people. The correlation between the NEO PI-R scores and the ratings of successful people was not statistically significant, r(27) = -.16., p > .05. Also, the correlation between the NEO PI-R scores and the ratings of unsuccessful people was not statistically significant, r(27) = -.23., p > .05. Higher scores on the NEO PI-R did not predict higher ratings on successful people, nor did it predict lower ratings on unsuccessful people.
how sick is it that not only do I understand this crap, but I also ran these tests, interpreted the results and am not attempting to discuss them and apply them to my hypotheses.
What has college done to me???