Affiliation:
1. University of Texas at Austin, USA
2. Oakland University, Rochester, MI, USA
Abstract
Previous studies on sex-differentiated mate preferences have focused on univariate analyses. However, because mate selection is inherently multidimensional, a multivariate analysis more appropriately measures sex differences in mate preferences. We used the Mahalanobis distance ( D) and logistic regression to investigate sex differences in mate preferences with data secured from participants residing in 37 cultures ( n = 10,153). Sex differences are large in multivariate terms, yielding an overall D = 2.41, corresponding to overlap between the sexes of just 22.8%. Moreover, knowledge of mate preferences alone affords correct classification of sex with 92.2% accuracy. Finally, pattern-wise sex differences are negatively correlated with gender equality across cultures but are nonetheless cross-culturally robust. Discussion focuses on implications in evaluating the importance and magnitude of sex differences in mate preferences.
Cited by
139 articles.
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