Regression mixture analysis of the relationship between academic burnout and psychological resilience in high school students
10.3969/j.issn.1000-6729.2025.05.10
- VernacularTitle:高中生学习倦怠与心理韧性关系的回归混合分析
- Author:
Chunyan YAN
1
;
Dongli BEI
;
Jie LUO
Author Information
1. 贵州师范大学心理学院,贵阳 550025
- Publication Type:Journal Article
- Keywords:
academic burnout;
psychological resilience;
high school students;
latent class analysis;
regres-sion mixture modeling
- From:
Chinese Mental Health Journal
2025;39(5):441-446
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the latent classes of academic burnout and its relationship with psycho-logical resilience in high school students.Methods:The Academic Burnout Scale for High School Students(ABS-HSS)and the Resilience Scale for Chinese Adolescents(RSCA)were used to investigate the current status of aca-demic burnout and the levels of psychological resilience among 786 high school students,respectively.The latent class analysis(LCA)was conducted to explore the latent classes of academic burnout among high school students,and this study further examined the relationship between academic burnout and psychological resilience by regres-sion mixture modeling(RMM).Results:There were three latent classes,including the low burnout group(69.9％),the low achievement group(9.8％)and the overwhelmed group(20.3％).The regression mixture anal-ysis further indicated that the high school students with lower psychological resilience experienced higher academic burnout(OR=0.22-0.56),and the students with difficulty in emotional control mostly felt overwhelmed in their learning(OR=0.23).Conclusion:These findings suggest that the academic burnout among high school students exhibits distinct categorical characteristics and is closely assoiated with psychological resilience.
