This study sought to identify the effects of culture and sex on mate preferences using samples drawn world-wide. Thirty-seven samples were obtained from 33 countries located on six continents and five islands (N = 9,474). Hierarchical multiple regressions revealed strong effects of both culture and sex, moderated by specific mate characteristics. Chastity proved to be the mate characteristic on which cultures varied the most. The preference ordering of each sample was contrasted with an international complement. Each culture displayed a unique preference ordering, but there were some similarities among all cultures as reflected in a positive manifold of the cross-country correlation matrix. Multidimensional scaling of the cultures yielded a five dimensional solution, the first two of which were interpreted. The first dimension was interpreted as Traditional versus Modern, with China, India, Iran, and Nigeria anchoring one end and the Netherlands, Great Britain, Finland, and Sweden anchoring the other. The second dimension involved valuation of education, intelligence, and refinement. Consistent sex differences in value attached to eaming potential and physical attractiveness supported evolution-based hypotheses about the importance of resources and reproductive value in mates. Discussion emphasizes the importance of psychological mate preferences for scientific disciplines ranging from evolutionary biology to sociology.

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Traditional methods for quantifying sport performances are limited in their capacity to describe the complex interactions of events that occur within a performance over time. The following article outlines a new approach to the study of actions between players in team sports-mainly, soccer. Since the observational design is nomothetic, point, and multidimensional, an observational and data-collecting instrument has been developed. The instrument is mixed and combines a field format with a category system for game events, as well as an ad hoc instrument that considers the game actions of one or both teams, each recorded according to the same criteria. The article also outlines a new approach to the analysis of time-based event records-in this case, sports performance-known as T-pattern detection. The relevant elements of the T-pattern detection process are explained, and exemplar data from analyses of soccer matches are presented to highlight the potential of this form of data analysis. The results suggest that it is possible to identify new kinds of profiles for both individuals and teams on the basis of observational criteria and a further analysis of temporal behavioral patterns detected within the performances.