A multivariate approach to human mate preferences |
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| Institution: | 1. School of Psychology, The University of Queensland, St. Lucia 4072, Brisbane, Queensland, Australia;2. Evolutionary and Ecology Research Centre, University of New South Wales, 2052 Sydney, New South Wales, Australia;3. Genetic Epidemiology Laboratory, Queensland Institute of Medical Research, Herston 4006, Brisbane, Queensland, Australia;1. University of Texas at Austin, Department of Psychology;2. University of Oxford, Institute of Cognitive and Evolutionary Anthropology;1. John Molson School of Business, Concordia University, Montreal, Quebec, Canada;2. School of Business and Economics, Wilfrid Laurier University, Waterloo, Ontario, Canada;1. School of Psychology, University of Queensland, Brisbane, QLD, Australia;2. Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA;3. Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA;4. QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia;1. Department of Anthropology, Durham University, UK;2. Department of Psychology, University of Liverpool, UK;3. School of Natural Sciences & Psychology, Liverpool John Moores University, UK |
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| Abstract: | Human mate choice is complicated, with various individual differences and contextual factors influencing preferences for numerous traits. However, focused studies on human mate choice often do not capture this multivariate complexity. Here, we consider multiple factors simultaneously to demonstrate the advantages of a multivariate approach to human mate preferences. Participants (N = 689) rated the attractiveness of opposite-sex online dating profiles that were independently manipulated on facial attractiveness, perceived facial masculinity/femininity, and intelligence. Participants were also randomly instructed to either consider short- or long-term relationships. Using fitness surfaces analyses, we assess the linear and nonlinear effects and interactions of the profiles' facial attractiveness, perceived facial masculinity/femininity, and perceived intelligence on participants' attractiveness ratings. Using hierarchical linear modeling, we were also able to consider the independent contribution of participants' individual differences on their revealed preferences for the manipulated traits. These individual differences included participants' age, socioeconomic status, education, disgust (moral, sexual, and pathogen), sociosexual orientation, personality variables, masculinity, and mate value. Together, our results illuminate various previously undetectable phenomena, including nonlinear preference functions and interactions with individual differences. More broadly, the study illustrates the value of considering both individual variation and population-level measures when addressing questions of sexual selection, and demonstrates the utility of multivariate approaches to complement focused studies. |
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