Assistant ProfessorHDFS Faculty
Office: SEA 2.446
Research Areasdiversity and culture, interpersonal relationships
DocumentsEastwick CV [pdf]
Syllabus HDF 356 Fall 2013 [pdf]
Syllabus HDF 378K [pdf]
Paul Eastwick’s research investigates how people initiate romantic relationships and the psychological mechanisms that help romantic partners to remain committed and attached. One of his research programs examines how the qualities that people say are critically important to them in a romantic partner—their ideal partner preferences—direct romantic partner selection and retention. Additionally, his work draws from anthropological data on the time course of human evolution to make novel psychological predictions. He has also explored (a) the intersection of race and romantic attraction and (b) how online dating differs from traditional ways that people meet and evaluate romantic partners.
Eastwick, P. W. & Finkel, E. J. (2012). The evolutionary armistice: Attachment bonds moderate the function of ovulatory cycle adaptations. Personality and Social Psychology Bulletin, 38, 174-184.
Finkel, E. J., Eastwick, P. W., Karney, B. R., Reis, H. T., & Sprecher, S. (2012). Online dating: A critical analysis from the perspective of psychological science. Psychological Science in the Public Interest, 13, 3-66.
Eastwick, P. W., Eagly, A. H., Finkel, E. J., & Johnson, S. E. (2011). Implicit and explicit preferences for physical attractiveness in a romantic partner: A double dissociation in predictive validity. Journal of Personality and Social Psychology, 101, 993-1011.
Eastwick, P. W., Finkel, E. J., & Eagly, A. H. (2011). When and why do ideal partner preferences affect the process of initiating and maintaining romantic relationships? Journal of Personality and Social Psychology, 101, 1012-1032.
Eastwick, P. W. (2009). Beyond the Pleistocene: Using phylogeny and constraint to inform the evolutionary psychology of human mating. Psychological Bulletin, 135, 794-821.
A Phylogenetic Evolutionary Psychological Approach to Human Mating (2012-2014), National Science Foundation (1147828). PI: Paul Eastwick.