Division of Health Promotion and Behavioral Sciences, School of Public Health University of Texas at Houston, TX 77030, USA.
Child Dev. 2012 Mar-Apr;83(2):442-51. doi: 10.1111/j.1467-8624.2011.01729.x. Epub 2012 Feb 7.
Using a network analytic framework, this study introduces a new method to measure peer influence based on adolescents' affiliations or 2-mode social network data. Exposure based on affiliations is referred to as the "affiliation exposure model." This study demonstrates the methodology using data on young adolescent smoking being influenced by joint participation in school-based organized sports activities with smokers. The analytic sample consisted of 1,260 American adolescents from ages 10 to 13 in middle schools, and the results of the longitudinal regression analyses showed that adolescents were more likely to smoke as they were increasingly exposed to teammates who smoke. This study illustrates the importance of peer influence via affiliation through team sports.
本研究采用网络分析框架,基于青少年的联系或 2 模式社交网络数据,引入了一种新的测量同伴影响的方法。基于联系的暴露被称为“联系暴露模型”。本研究使用青少年在学校组织的与吸烟者一起参与的体育活动中受到吸烟影响的吸烟数据来演示该方法。分析样本由来自中学的 1260 名年龄在 10 到 13 岁的美国青少年组成,纵向回归分析的结果表明,随着青少年接触到越来越多的吸烟队友,他们吸烟的可能性就越大。本研究通过团队运动说明了通过联系产生同伴影响的重要性。