Analyzing psychological resilience in college students: A decision tree model

Area of Science:

• Psychology
• Higher Education Studies
• Sociology

Background:

• College students require psychological resilience to navigate post-pandemic societal challenges.
• Understanding resilience factors is crucial for student success and well-being.
• Existing research needs novel, data-driven perspectives on resilience in higher education.

Purpose of the Study:

• To explore key influencing factors of psychological resilience in college students.
• To utilize a decision tree model for identifying significant predictors.
• To provide practical guidance for educational stakeholders.

Main Methods:

• Surveyed 776 college students.
• Collected data on demographics, self-esteem, school belonging, pro-environmental behavior, subjective well-being, internet game addiction, life autonomy, and academic procrastination.
• Applied a decision tree model to analyze predictors of psychological resilience.

Main Results:

• Identified eight key predictors of psychological resilience in order of importance: self-esteem, sense of school belonging, pro-environmental behavior, subjective well-being, academic procrastination, life autonomy, internet game addiction, and academic achievement.
• The decision tree model achieved an accuracy of 73.985%.
• Self-esteem and sense of school belonging emerged as the most significant factors.

Conclusions:

• The decision tree model offers a novel, data-driven approach to understanding college student psychological resilience.
• Findings provide practical insights for developing interventions to enhance student resilience.
• Results can inform educational practitioners and policymakers in higher education settings.