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Modeling conditional dependencies between recidivism and cognitive emotion regulation strategies among prisoners
Younyoung Choi1, Gyeongcheol Cho2
1Department of Psychology, Ajou University, Suwon, Republic of Korea.
Plos One
|August 6, 2026
Summary
Understanding emotion regulation strategies is key for offender rehabilitation. This study links cognitive emotion regulation strategies (CERS) to recidivism rates across different crime types, informing correctional interventions.
Area of Science:
- Psychology
- Criminology
- Forensic Science
Background:
- Emotion regulation is vital for offender rehabilitation and reducing recidivism.
- The specific relationship between cognitive emotion regulation strategies (CERS) and recidivism across diverse offense types remains unclear.
Purpose of the Study:
- To model the probabilistic relationships between CERS and recidivism, considering crime type.
- To investigate how distinct CERS patterns influence the likelihood of reoffending.
Main Methods:
- Developed a Bayesian network to analyze CERS and recidivism data.
- Utilized convex generalized structured component analysis to create summary indexes from CERS indicators.
- Modeled conditional probabilities of recidivism based on CERS and crime type.
Main Results:
- Cognitive emotion regulation strategies (CERS) patterns differ across various crime types.
- Specific CERS are differentially associated with the probability of recidivism.
- The network revealed distinct links between CERS, crime type, and recidivism probability.
Conclusions:
- CERS profiles and crime type are important factors in understanding and predicting offender recidivism.
- Findings support tailoring correctional assessment and intervention planning based on individual CERS and offense characteristics.
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