青少年社交网络中浪漫伴侣提名互惠性的预测因素。
Predictors of romantic partner nomination reciprocity in adolescent social networks.
作者信息
Vinita Fitch Kate, Copeland Molly, Adams Jimi
机构信息
Department of Health and Behavioral Sciences, University of Colorado Denver. Campus Box 188 P.O. Box 173364, Denver, CO 80217.
Department of Sociology, Michigan State University. Berkey Hall, 509 E. Circle Drive Room 316, East Lansing, MI 78824.
出版信息
Soc Networks. 2024 Jan;76:203-208. doi: 10.1016/j.socnet.2023.10.001. Epub 2023 Oct 21.
Network data uniquely allow relationships to be multiply reported, creating varying rates of relationship nomination reciprocation. However, what drives such variation is unclear. Variation in reciprocation may reflect substantive information about relationships (e.g., social salience or desirability) or study design (e.g., question wording or capped nominations). We examine predictors of nomination reciprocity in romantic network data from the PROSPER study to analyze individual and dyadic predictors of nomination reciprocity. Results show higher grades predict higher reciprocity, while same-sex relationships and behaviorally discordant dyads are less likely to be reciprocal.
网络数据独特地允许关系被多重报告，从而产生不同的关系提名 reciprocation 率。然而，驱动这种变化的因素尚不清楚。reciprocation 的变化可能反映了关于关系的实质性信息（例如，社会显著性或可取性）或研究设计（例如，问题措辞或限定提名）。我们研究了 PROSPER 研究中浪漫网络数据中提名 reciprocity 的预测因素，以分析提名 reciprocity 的个体和二元预测因素。结果表明，较高的成绩预测较高的 reciprocity，而同性关系和行为不一致的二元组则不太可能是 reciprocal 的。 （注：这里“reciprocation”和“reciprocal”在中文语境下较难找到完全对应的准确词汇，暂保留英文未翻译，以便读者理解原文意思）
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