心理学
可能性
浪漫
相似性(几何)
风格(视觉艺术)
社会心理学
人际关系
人际交往
理论(学习稳定性)
匹配(统计)
功能(生物学)
优势比
人际互动
发展心理学
统计
人工智能
数学
精神分析
逻辑回归
计算机科学
机器学习
图像(数学)
生物
历史
考古
进化生物学
作者
Molly Ireland,Richard B. Slatcher,Paul W. Eastwick,Lauren E. Scissors,Eli J. Finkel,James W. Pennebaker
标识
DOI:10.1177/0956797610392928
摘要
Previous relationship research has largely ignored the importance of similarity in how people talk with one another. Using natural language samples, we investigated whether similarity in dyads' use of function words, called language style matching (LSM), predicts outcomes for romantic relationships. In Study 1, greater LSM in transcripts of 40 speed dates predicted increased likelihood of mutual romantic interest (odds ratio = 3.05). Overall, 33.3% of pairs with LSM above the median mutually desired future contact, compared with 9.1% of pairs with LSM at or below the median. In Study 2, LSM in 86 couples' instant messages positively predicted relationship stability at a 3-month follow-up (odds ratio = 1.95). Specifically, 76.7% of couples with LSM greater than the median were still dating at the follow-up, compared with 53.5% of couples with LSM at or below the median. LSM appears to reflect implicit interpersonal processes central to romantic relationships.
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