想要或有孩子可以预测在线约会中的年龄偏好。

IF 1.1 Q4 BEHAVIORAL SCIENCES Evolutionary Behavioral Sciences Pub Date : 2021-09-13 DOI:10.1037/ebs0000274
R. Kramer, A. Jones
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引用次数: 2

摘要

在约会时,女性会寻找比自己年龄稍大的男性,而男性通常更喜欢年轻的女性。这种模式反映了父母投资和与年龄相关的生育率的差异,这两者都与最大限度地提高生育结果有关。使用大量在线约会者样本,我们考虑了在约会时,是否有或想要孩子与年龄作为匹配标准的重要性有关(研究1;N=119361),以及这两个因素如何与首选匹配年龄有关(研究2;N=486382)。没有孩子的男性(或想要孩子的男性)认为年龄比有孩子的男性更重要(或不想要孩子的女性),并选择了一个包含年轻女性的首选年龄范围。相比之下,女性的偏好与生孩子或想要孩子的关系不大。总之,这些发现表明,除了先前调查的因素外,年龄偏好可能还取决于其他因素,并且与当前孩子数量和生孩子愿望的关系与进化预测一致。
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Wanting or having children predicts age preferences in online dating.
When dating, women seek men slightly older than themselves while men typically prefer younger women. Such patterns reflect differences in parental investment and age-related fertility, which are both concerned with maximizing reproductive outcomes. Using large samples of online daters, we considered whether having or wanting children was associated with the perceived importance of age as a matching criterion when dating (Study 1; N = 119,361), as well as how these two factors related to the preferred age of a match (Study 2; N = 486,382). Men without children (or those who wanted children) rated age as more important than those with children (or those who did not want children), and also selected a preferred age range that incorporated younger women. In contrast, women’s preferences showed little association with having or wanting children. Taken together, these findings demonstrate that age preferences may depend on factors in addition to those previously investigated, and that the relationships with the number of current children and the desire to have children are consistent with evolutionary predictions.
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来源期刊
Evolutionary Behavioral Sciences
Evolutionary Behavioral Sciences Psychology-Social Psychology
CiteScore
2.70
自引率
15.40%
发文量
62
期刊介绍: Evolutionary Behavioral Sciences (EBS) publishes manuscripts that advance the study of human behavior from an evolutionary perspective, with an emphasis on work that integrates evolutionary theory with other approaches and perspectives from across the behavioral sciences, including the range of subdisciplines within psychology as well as the social sciences (e.g., sociology, political science, criminology) and humanities (e.g., history, literature studies). This includes a special interest in work that explores: The role of evolved mechanisms in real-world phenomena, especially when the findings hold implications for policy or practice;The expression of evolved cognitive, behavioral, and physiological mechanisms across contexts and the consequences they have for the patterns and structure of society;The interplay between evolved psychological mechanisms and cultural influences in driving behavior, including papers that test established theory in new cultural contexts. EBS publishes both empirical and theoretical manuscripts and welcomes quantitative, qualitative, and mixed-method approaches. EBS will consider research on non-human animals provided it offers some insight on a current question in the study of human behavior. The journal is also interested in articles that seek to translate evolutionary reasoning into implications for policy and practice.
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