Year: 2026 | Month: January | Volume: 16 | Issue: 1 | Pages: 251-260
DOI: https://doi.org/10.52403/ijhsr.20260129
Determinants of Emotional Intelligence and Resilience Among Adolescents: A Regression Analysis
Smitha Soman1, Riaz K. M2, Supriya K3, Kalesh M Karun4
1Associate Professor (CAP), Government College of Nursing, Govt. Medical College, Thrissur, India
2Associate Professor, Government College of Nursing, Govt. Medical College, Idduki, India
3Principal, SLM Global Nursing College, Telhati, India
4Assistant Professor, Division of Biostatistics, MOSC Medical College, Kolenchery, Ernakulam, India
Corresponding Author: Smitha Soman
ABSTRACT
Background: Emotional intelligence (EI) and resilience are essential psychosocial competencies that enable adolescents to cope effectively with life's challenges. Identifying their predictors is crucial for developing targeted interventions and support systems that help adolescents navigate the challenges of adolescence and prepare for adulthood. Objective: The present study aimed to examine socio-demographic and behavioral factors associated with EI and resilience among adolescents.
Materials and Methods: A cross-sectional analytical study was conducted among 259 adolescents aged 13–18 years. Data on socio-demographic and behavioural variables were collected using a structured questionnaire. EI was measured using the Schutte Emotional Intelligence Scale, and Resilience was measured using the Adolescent Resilience Questionnaire. Linear regression analysis was used to identify predictors of resilience. Since EI scores were non-normally distributed, quantile regression at the 50th percentile (median) was applied to assess predictors of EI. Variables significant at p < 0.05 in univariate analysis were included in multivariable models. Model fit was evaluated using R², Adjusted R², and VIF for linear regression, and Pseudo R² and Mean Absolute Error (MAE) for quantile regression.
Results: After adjusting for covariates, class of study (B = −16.90, p < 0.001) and participation in social activities (B = −12.18, p = 0.004) remained significant predictors of resilience, while other variables were not significant. In the quantile regression model for emotional intelligence, only maternal education remained significant (B = 5.00, p = 0.008), indicating that higher maternal education was associated with greater emotional intelligence.
Conclusion: Educational and social factors, particularly class of study, maternal education, and social activity, significantly influence resilience and emotional intelligence, underscoring the need for targeted interventions to strengthen students’ socio-emotional development.
Key words: Adolescents; Emotional intelligence; Resilience; Predictors; Linear regression; Quantile regression.