6,480
edits
Line 73: | Line 73: | ||
Finally, Peters et al. (2007) had men and women rate a set of full-body photos. Separate ratings of the face and body of the subjects of these photos were taken from an earlier study by the same authors. Several statistical analyses were performed on the resulting data. A multiple regression analysis (predicting how shifts in the independent variables of face and body influenced the dependent variable of overall physical attractiveness, respectively) had facial attractiveness predicting general PA at β = 0.517. Body attractiveness contributed β = 0.235 to overall PA. In simpler terms, facial features were more dominant in influencing overall attractiveness than body shape in this study. Therefore, this study had a larger effect for face vs. body than Currie & Little (2009) in predicting overall PA among men, but the overall pattern was the same.<ref>https://www.researchgate.net/publication/222672818_Contribution_of_the_face_and_body_to_overall_attractiveness</ref> | Finally, Peters et al. (2007) had men and women rate a set of full-body photos. Separate ratings of the face and body of the subjects of these photos were taken from an earlier study by the same authors. Several statistical analyses were performed on the resulting data. A multiple regression analysis (predicting how shifts in the independent variables of face and body influenced the dependent variable of overall physical attractiveness, respectively) had facial attractiveness predicting general PA at β = 0.517. Body attractiveness contributed β = 0.235 to overall PA. In simpler terms, facial features were more dominant in influencing overall attractiveness than body shape in this study. Therefore, this study had a larger effect for face vs. body than Currie & Little (2009) in predicting overall PA among men, but the overall pattern was the same.<ref>https://www.researchgate.net/publication/222672818_Contribution_of_the_face_and_body_to_overall_attractiveness</ref> | ||
The authors also conducted a | The authors also conducted a principal components analysis (PCA) on the relative contributions of face and body to overall attractiveness for men. This analysis revealed that facial and body attractiveness were distinct components for both men and women, indicating that they mainly contribute uniquely to overall attractiveness. The multiple regression also found no significant interaction between facial and body attractiveness in men, and the Pearson correlation coefficient for facial and body attractiveness in men was insignificant (while there was a significant correlation between facial and body attractiveness among female subjects). | ||
Therefore, to summarize, male facial and body attractiveness were uncorrelated in this sample | |||
Therefore, to summarize, male facial and body attractiveness were uncorrelated in this sample. It's worth noting that this first finding contrasts with other studies, such as Hönekopp et al. (2007). This divergence in effect may be due to difference in the two samples.<ref>https://www.sciencedirect.com/science/article/abs/pii/S1090513806000754 p. 108</ref> | |||
Secondly, face and body both contributed to overall attractiveness, and thirdly, they mostly contributed uniquely to overall attractiveness. | |||
This finding is different than the later analyses by Currie & Little (2009), mentioned above, as they did find facial attractiveness and body attractiveness interacted in men, albeit more in the unexpected direction of facial attractiveness being limited by low body attractiveness. | This finding is different than the later analyses by Currie & Little (2009), mentioned above, as they did find facial attractiveness and body attractiveness interacted in men, albeit more in the unexpected direction of facial attractiveness being limited by low body attractiveness. | ||
One explanation for this would be that, even though independent face and body ratings do not interact, people rate individuals more holistically when they see their entire bodies in a way that can't be simply explained by interaction effects or additive variance. This argument is supported by the fact that Peters et al. found that the correlation between facial and body photos and combined photos was moderate in their sample, explaining less than half of the variance in overall attractiveness (Peters et al., 2007, p. 940). Alternately, there could be a lot of measurement error when one measures the respective contribution of face and body to overall attractiveness, which could explain the limited additive prediction. | One explanation for this would be that, even though independent face and body ratings do not interact, people rate individuals more holistically when they see their entire bodies in a way that can't be simply explained by interaction effects or additive variance. This argument is supported by the fact that Peters et al. found that the correlation between facial and body photos and combined photos was moderate in their sample, explaining less than half of the variance in overall attractiveness (Peters et al., 2007, p. 940). Alternately, there could be a lot of measurement error when one measures the respective contribution of face and body to overall attractiveness, which could explain the limited additive prediction. |
edits