青少年自尊发展轨迹及其群组效应分析:基于增长混合模型

Development Trajectory of Adolescent Self-esteem and Cluster Effect Analysis: Based on Growth Mixture Model

  • 摘要: 使用中国家庭追踪调查(CFPS)数据,筛选出471名青少年的自尊水平及其他相关数据,探讨青少年自尊发展轨迹及其群组效应。采用增长混合模型(GMM)对三个波次(T1、T2、T3)青少年自尊水平数据进行追踪分析。结果表明:三个波次数据的拟合结果良好,存在两个发展趋势不一致的子群体,分别是平缓增长组和显著增长组;学业压力、同伴关系、主观幸福感和家庭社会资本对青少年群体的自尊发展轨迹具有显著的预测作用;青少年自尊发展轨迹存在性别和城乡的群组效应。青少年自尊发展轨迹受多方面因素影响,且存在群组差异。

     

    Abstract: As one of the criteria to test the mental health of adolescents, researchers in psychology and pedagogy pay more and more attention to the research related to self-esteem level. Most of the previous research paradigms on adolescent self-esteem used cross-sectional studies, without further investigating the characteristics of changes in self-esteem levels over time. The adolescent self-esteem is affected by many factors in the process of development, and the influence of these factors on the development of self-esteem remains to be further explored. To explore the developmental trajectory and cluster effects of adolescent self-esteem. Using data from the China family panel studies (CFPS), 471 adolescents were screened for their self-esteem levels and other related data. The growth mixture model (GMM) was used to track and analyze the self-esteem level data for adolescents in three different bands. Results showed: (1) The fitting results of the three band data were good, with two subgroups with inconsistent development trends, namely the gentle growth group (N=390, 82.8%) and the significant growth group (N=81, 17.2%); (2) According to the results of logistic regression analysis, learning pressure, peer relationships, subjective well-being, and family social capital have a significant predictive effect on the self-esteem development trajectory of adolescent groups; (3) There are gender and urban-rural cluster effect in the developmental trajectory of adolescent self-esteem. The developmental trajectory of adolescent self-esteem is influenced by multiple factors and there are differences in cluster effects.

     

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