Trajectories of Self-Esteem Development for Adolescence Based on China Family Panel Studies: A Piecewise Growth Mixture Model Analysis

Jiaqin Huang, Xin Xie, Yuxi Pan, Li Guangming, Fadi Zhang, Ningjing Cui

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Self-esteem has always been a hot research object in the field of adolescent mental health. But in longitudinal research, using a single slope to describe the trajectory of adolescent self-esteem is unrealistic. The piecewise growth mixture model (PGMM) was used to fit the data in this study. Selecting from China Family Panel Studies database, a total of 1,759 individuals were selected and their self-esteem (RSES) scores over the years were used as the tracking index. Based on the characteristics of the development trajectories of three latent classes, class 1 was referred to as “stable low level group,” class 2 was named “rapidly rising group,” and class 3 was referred to as “rapidly decrease group.” And there were two stages in the development process of self-esteem in the adolescent group. The slope of the stable low level group showed a significant downward trend in the first stage and a significant upward trend in the second stage, with a relatively flat development trajectory and relatively low self-esteem on the whole. The slope of the rapidly rising group showed an insignificant upward trend in the first stage and a significant rapid upward trend in the second stage. The rapidly decrease group showed a significant and rapid downward trend in the first stage and a significant and rapid upward trend in the second stage. In the development of self-esteem in adolescence, there were three latent classes in which the characteristics of development trajectories were different. Age of 14 is the turning point between the two stages of development.
Original languageEnglish
JournalSage Open
Volume12
Issue number2
DOIs
Publication statusPublished - Apr 2022

Funding

The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research was supported in part by Grant No. 18YJA190006 from the Ministry of Education Foundation of the People’s Republic of China, Grant No. GD17CXL01 from the Philosophy and Social Science Foundation of Guangdong Province, and Grant No. 2021A1515012516 from the Natural Science Foundation of Guangdong Province.

FundersFunder number
Ministry of Education of the People's Republic of ChinaGD17CXL01
Natural Science Foundation of Guangdong Province
Philosophy and Social Science Foundation of Hunan Province2021A1515012516

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