Bidirectional Associations Among Social Anxiety, School Engagement, and Social‐Emotional Competencies (SEC) Among Chinese Rural Adolescents: A Four‐Wave, Random Intercept Cross‐Lagged Panel Model

INTRODUCTION: Social-emotional competencies (SEC) are central to human development and develop through complex social, psychological, and behavioral processes. Previous studies showed that social anxiety and school engagement were closely linked to SEC. However, the longitudinal dynamics among them are under-examined, especially in marginalized rural populations. This study aimed to examine the bidirectional associations among social anxiety, school engagement, and SEC across four time points among Chinese rural adolescents. METHODS: = 15.84 years, SD = 1.60). A random intercept cross-lagged panel model (RI-CLPM) was employed for data analysis. RESULTS: Results of RI-CLPM showed that, at the between-person level, school engagement was positively associated with SEC, and social anxiety was negatively associated with school engagement and SEC. At the within-person level, there were consistent positive bidirectional relationships between school engagement and SEC and negative bidirectional relationships between social anxiety and school engagement and between social anxiety and SEC. No significant sex differences were found in these associations. CONCLUSIONS: The findings support the bioecological theory, highlighting the dynamic interactions of social anxiety, school engagement, and SEC over time. Interventions targeting any of these factors may yield positive social-emotional and mental health outcomes.

Authors

Institutions

Publication Details

Journal
Journal of Adolescence
Published
2026-04-20
DOI
https://doi.org/10.1002/jad.70159
Primary Topic
Child and Adolescent Psychosocial and Emotional Development
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bidirectional Associations Among Social Anxiety, School Engagement, and Social‐Emotional Competencies (SEC) Among Chinese Rural Adolescents: A Four‐Wave, Random Intercept Cross‐Lagged Panel Model

Jinbo He, Hanbin Wang, C N Chen, Kejing Guo
Journal of Adolescence
Child and Adolescent Psychosocial and Emotional Development
article

Bidirectional Associations Among Social Anxiety, School Engagement, and Social‐Emotional Competencies (SEC) Among Chinese Rural Adolescents: A Four‐Wave, Random Intercept Cross‐Lagged Panel Model

Jinbo He, Hanbin Wang, C N Chen, Kejing Guo
article en

Abstract

INTRODUCTION: Social-emotional competencies (SEC) are central to human development and develop through complex social, psychological, and behavioral processes. Previous studies showed that social anxiety and school engagement were closely linked to SEC. However, the longitudinal dynamics among them are under-examined, especially in marginalized rural populations. This study aimed to examine the bidirectional associations among social anxiety, school engagement, and SEC across four time points among Chinese rural adolescents. METHODS: = 15.84 years, SD = 1.60). A random intercept cross-lagged panel model (RI-CLPM) was employed for data analysis. RESULTS: Results of RI-CLPM showed that, at the between-person level, school engagement was positively associated with SEC, and social anxiety was negatively associated with school engagement and SEC. At the within-person level, there were consistent positive bidirectional relationships between school engagement and SEC and negative bidirectional relationships between social anxiety and school engagement and between social anxiety and SEC. No significant sex differences were found in these associations. CONCLUSIONS: The findings support the bioecological theory, highlighting the dynamic interactions of social anxiety, school engagement, and SEC over time. Interventions targeting any of these factors may yield positive social-emotional and mental health outcomes.

Journal of Adolescence
Chinese University of Hong Kong, Shenzhen (CN), Arizona State University (US), Xi’an Jiaotong-Liverpool University (CN)
Openalex Percentile: Top 9%
Child and Adolescent Psychosocial and Emotional Development
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.