School of Psychology, South China Normal University, Guangzhou, Guangdong, China.
Center for Early Environment and Brain Development, School of Education, Guangzhou University, Guangzhou, Guangdong, China.
J Res Adolesc. 2024 Dec;34(4):1529-1544. doi: 10.1111/jora.13018. Epub 2024 Sep 8.
The present study employed the cross-lagged panel model and the random intercepts cross-lagged panel model to investigate the longitudinal association between deviant peer affiliation and externalizing behavior in Chinese preadolescents. A sample of 1987 students, comprising 56.10% male participants with a mean age of 12.32 years (SD = 0.53), from Guangdong and Shandong provinces, completed the Deviant Peer Affiliation Scale and the Externalizing Behavior Scale in biannual surveys. The surveys were conducted in the autumn semester of 7th grade, the spring semester of 7th grade, and the autumn semester of 8th grade. The cross-lagged panel model illustrated a bidirectional association between adolescents' involvement with deviant peers and externalizing behavior. Conversely, the random intercepts cross-lagged panel model indicated a positive association between deviant peer affiliation and externalizing behavior at the between-person level. At the within-person level, a significant predictive correlation was identified between the association with deviant peers and subsequent externalizing behavior, whereas the reverse pathway was determined to be statistically insignificant. To comprehend the connection between deviant peer association and externalizing behavior in preadolescence, it is essential to differentiate between between-person and within-person effects and utilize a sophisticated research methodology.
本研究采用交叉滞后面板模型和随机截距交叉滞后面板模型,探讨了中国青春期前儿童偏差同伴关系与外化行为之间的纵向关联。研究对象为来自广东省和山东省的 1987 名学生,其中 56.10%为男生,平均年龄为 12.32 岁(SD=0.53)。他们在七年级秋季学期、七年级春季学期和八年级秋季学期完成了偏差同伴关系量表和外化行为量表的两次调查。交叉滞后面板模型表明,青少年与偏差同伴的关系与外化行为之间存在双向关联。相反,随机截距交叉滞后面板模型表明,在个体间水平上,偏差同伴关系与外化行为之间存在正相关。在个体内水平上,与偏差同伴的关系与随后的外化行为之间存在显著的预测相关性,而反向路径则无统计学意义。为了理解青春期前儿童偏差同伴关系和外化行为之间的联系,区分个体间和个体内效应并采用复杂的研究方法是至关重要的。