A Multivariate Study of Human Mate Preferences: Findings from the California Twin Registry

Much research examining the biological and social-cultural underpinnings of human mate preferences has focused on univariate or bivariate analyses of demographic variables and personality constructs. In this paper, we argue that a multivariate approach more effectively highlights the multifaceted structure and correlates of human mate preferences. To support this claim, we applied several multivariate techniques to data from a large adult sample to (1) examine the major dimensions underlying individual differences in mate preferences, and (2) elucidate how these preferences relate to individual differences in personality. An exploratory factor analysis of an omnibus mate preference questionnaire yielded a 14-factor solution with dimensions mirroring trends in evolutionary psychology and the Big Five personality framework. An inter-battery factor analysis of these dimensions paired with higher-order personality factors provided strong support for the "likes attract" model of partner preferences. Bootstrap confidence intervals for all factor loadings highlighted the robustness of our results.