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Predicting Romantic Interest at Zero Acquaintance: Evidence of Sex Differences in Trait Perception but Not in Predictors of Interest
Authors:Sally G Olderbak  Frederic Malter  Pedro Sofio Abril Wolf  Daniel N Jones  Aurelio José Figueredo
Institution:1. Ulm University, Ulm, Germany;2. Max Planck Institute for Social Law and Social Policy, Munich, Germany;3. Pennsylvania State University, State College, PA, USA;4. University of Texas, El Paso, El Paso, TX, USA;5. University of Arizona, Tucson, AZ, USA
Abstract:We evaluated five competing hypotheses about what predicts romantic interest. Through a half‐block quasi‐experimental design, a large sample of young adults (i.e. responders; n = 335) viewed videos of opposite‐sex persons (i.e. targets) talking about themselves, and responders rated the targets' traits and their romantic interest in the target. We tested whether similarity, dissimilarity or overall trait levels on mate value, physical attractiveness, life history strategy and the Big Five personality factors predicted romantic interest at zero acquaintance and whether sex acted as a moderator. We tested the responders' individual perception of the targets' traits, in addition to the targets' own self‐reported trait levels and a consensus rating of the targets made by the responders. We used polynomial regression with response surface analysis within multilevel modelling to test support for each of the hypotheses. Results suggest a large sex difference in trait perception; when women rated men, they agreed in their perception more often than when men rated women. However, as a predictor of romantic interest, there were no sex differences. Only the responders' perception of the targets' physical attractiveness predicted romantic interest; specifically, responders' who rated the targets' physical attractiveness as higher than themselves reported more romantic interest. Copyright © 2017 European Association of Personality Psychology
Keywords:attraction  social relations model  trait perception  Big Five personality factors  life history strategy  mate value  polynomial regression  response surface analysis  multilevel model
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