Positive relationship between education level and risk perception and behavioral response: A machine learning
Zhipeng Wei1,2,3, Zhichun Zhang1,2,3, Liping Guo1,2,3
1Evidence-based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.
Plos One
|April 3, 2025
Summary
Education level significantly impacts how people perceive risks and respond behaviorally, influencing both intentions and actions. This finding is crucial for developing effective risk management policies.
Area of Science:
- Social Psychology
- Risk Analysis
- Behavioral Science
Background:
- Understanding the factors influencing risk perception and behavioral responses is critical for public policy.
- Education level is a key demographic variable often correlated with risk perception and decision-making.
Purpose of the Study:
- To investigate the role of education level in the relationship between risk perception and behavioral response (intention and preparatory behavior).
- To identify key influencing factors on behavioral responses using machine learning models.
Main Methods:
- Utilized Random Forest and XGBoost algorithms for predictive modeling.
- Employed SHAP (SHapley Additive exPlanations) values to analyze the influence of education level.
- Applied non-parametric estimation techniques.
Main Results:
- Machine learning models identified key influencing factors, despite moderate overall fit (25.71% for preparatory behavior, <20% for behavioral intention).
- Education level was found to be a significant factor, with varying effects across different educational attainment groups.
- Statistical testing confirmed the importance of education level in mediating the risk perception-behavioral response link.
Conclusions:
- Education level plays a crucial, nuanced role in how individuals perceive and react to risks.
- Findings provide a scientific basis for tailoring risk communication and management strategies based on educational demographics.
- Further research can refine predictive models for behavioral responses to risk.
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