Scarcity of female mates predicts regional variation in men's and women's sociosexual orientation across US states

Scarcity of female mates predicts regional variation in men's and women's sociosexual orientation across US states
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女性伴侣的稀缺预示着美国各州男性和女性社会性取向的地区差异

DOI:
10.1016/j.evolhumbehav.2014.11.004
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发表时间:
2015
影响因子:
5.1
通讯作者:
Kandrik M
Kandrik M
中科院分区:
心理学1区
文献类型:
--
作者:
Kandrik M

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以前的研究已经将参与未承诺的性关系的意愿的区域差异联系起来(即,社会性取向(sociosexual orientation),许多不同的社会生态措施,如成年人的性别比例,预期寿命和国内生产总值。然而,这些研究都有一些潜在的严重局限性,包括依赖按国家汇总的单一数据集,以及未能适当考虑不同社会生态措施之间的相互关系。我们通过以下方式解决这些局限性:(1)收集4,453名美国男性和女性的社会性取向评分的新数据集,(2)使用多层次分析以避免聚集,以及(3)得出反映美国各州在女性伴侣稀缺性,环境需求和财富方面差异的正交因子。分析表明,女性伴侣的稀缺性因素,而不是环境需求或财富因素,预测男性和女性的社会性取向。参与者报告说,当女性伴侣稀缺时,他们不太愿意参与未经承诺的性关系。这些结果突出了女性配偶稀缺的重要性,男性和女性的交配策略的区域差异。他们还表明,以前研究中报告的与财富相关的措施和环境需求的影响可能是社会生态措施之间相互关联的产物,或者不一定能很好地推广到新的数据集。
Previous studies have linked regional variation in willingness to engage in uncommitted sexual relationships (i.e., sociosexual orientation) to many different socio-ecological measures, such as adult sex ratio, life expectancy, and gross domestic product. However, these studies share a number of potentially serious limitations, including reliance on a single dataset of responses aggregated by country and a failure to properly consider intercorrelations among different socio-ecological measures. We address these limitations by (1) collecting a new dataset of 4,453 American men's and women's sociosexual orientation scores, (2) using multilevel analyses to avoid aggregation, and (3) deriving orthogonal factors reflecting US state-level differences in the scarcity of female mates, environmental demands, and wealth. Analyses showed that the scarcity of female mates factor, but not the environmental demand or wealth factors, predicted men's and women's sociosexual orientation. Participants reported being less willing to engage in uncommitted sexual relationships when female mates were scarce. These results highlight the importance of scarcity of female mates for regional differences in men's and women's mating strategies. They also suggest that effects of wealth-related measures and environmental demands reported in previous research may be artifacts of intercorrelations among socio-ecological measures or, alternatively, do not necessarily generalize well to new datasets.
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