Longitudinal Associations Between Cognitive Flexibility and Academic Stress in Final‐Year High School Students: A Parallel Latent Growth Curve Model Approach

INTRODUCTION: Students in the final year of high school often experience substantial academic stress. This study examined how self-perceived academic stress and cognitive flexibility changed and were associated across Grade 12. METHODS: Three-wave self-report data were collected in China in 2024 from 1754 Grade 12 students (mean age = 17.81 years, SD = 0.73; 1742 were included in the covariate-adjusted growth models). A parallel-process latent growth curve modeling estimated the trajectories both constructs, associations between their growth factors, and directional paths from the initial level of each construct to subsequent change in the other. A latent-basis model with wave-specific residual covariances assessed robustness. RESULTS: Cognitive flexibility increased on average, whereas academic stress decreased. Higher initial cognitive flexibility was associated with lower initial academic stress. The rates of change were negatively associated in the primary linear model, but this association was not statistically significant in the robustness model. Neither directional cross-domain regression path was statistically significant. CONCLUSION: The baseline association was robust, whereas evidence for coordinated change was sensitive to model specification and prospective cross-domain effects were not supported. Future research using more frequent assessments and experimental designs could clarify the temporal processes linking self-perceived cognitive flexibility and academic stress.

Authors

Institutions

Publication Details

Journal
Journal of Adolescence
Published
2026-10-05
DOI
https://doi.org/10.1002/jad.70283
Primary Topic
Student Stress and Coping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Longitudinal Associations Between Cognitive Flexibility and Academic Stress in Final‐Year High School Students: A Parallel Latent Growth Curve Model Approach

Yang Gao, Mengwei Shi, Siyu Huang, Shuang Xu
Journal of Adolescence
Student Stress and Coping
article

Longitudinal Associations Between Cognitive Flexibility and Academic Stress in Final‐Year High School Students: A Parallel Latent Growth Curve Model Approach

Yang Gao, Mengwei Shi, Siyu Huang, Shuang Xu
article en

Abstract

INTRODUCTION: Students in the final year of high school often experience substantial academic stress. This study examined how self-perceived academic stress and cognitive flexibility changed and were associated across Grade 12. METHODS: Three-wave self-report data were collected in China in 2024 from 1754 Grade 12 students (mean age = 17.81 years, SD = 0.73; 1742 were included in the covariate-adjusted growth models). A parallel-process latent growth curve modeling estimated the trajectories both constructs, associations between their growth factors, and directional paths from the initial level of each construct to subsequent change in the other. A latent-basis model with wave-specific residual covariances assessed robustness. RESULTS: Cognitive flexibility increased on average, whereas academic stress decreased. Higher initial cognitive flexibility was associated with lower initial academic stress. The rates of change were negatively associated in the primary linear model, but this association was not statistically significant in the robustness model. Neither directional cross-domain regression path was statistically significant. CONCLUSION: The baseline association was robust, whereas evidence for coordinated change was sensitive to model specification and prospective cross-domain effects were not supported. Future research using more frequent assessments and experimental designs could clarify the temporal processes linking self-perceived cognitive flexibility and academic stress.

Journal of Adolescence
Guizhou Normal University (CN)
Openalex Percentile: Top 5%
Student Stress and Coping
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.