• Korean Journal of Forensic Psychology
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• v.13 no.2
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• pp.99-119
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• 2022

Research on sex offense has shown that sex offenders are very heterogeneous. Sex offenders are heterogeneous in their probability of risk of recidivism. Some sex offenders are known to be much higher in their tendencies to reactivate than others. The study examined the predictive and explanatory power of static and dynamic risk factors in STATIC-99 and HAGSOR-Dynamic which have been used in Korean correctional facilities since 2014. STATIC-99 and HAGSOR-Dynamic showed moderate predictive accuracy for all crimes(AUC = .737, AUC = .597, respectively, ps < .001). However, when examining sex crime alone, only STATIC-99 predicted recidivism significantly(AUC = .743, p < .001). The incremental predictive power of HAGSOR-Dynamic was confirmed; the explanatory power of Model 2 comprising both static and dynamic risk factors were significant beyond Model 1 comprising only static factors(∆χ²= 12.721, p < .001), but this tendency was only applied to the model of all crimes. These findings were discussed with implications of practicing the sex offender assessment and treatment.

• The Journal of the Korea Contents Association
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• v.9 no.3
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• pp.312-319
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• 2009

The purpose of the paper is to offer an analysis of adult probationers and their recidivism and to suggest a policy to prevent recidivism. Various data analysis methods like frequency analysis, cross-tabulation analysis, regression analysis and logistic regression analysis were used to determine which of a second offense factors and recidivism included in initial data investigation could effectively explain or forecast reference values. This study focused on identifying relations associated with follow-up misconducts of adults under probation, and supposing that those factors could be associated with their second offenses. But it failed to yield so much significant findings. Nevertheless, this study has its own significance in a sense that it explored various risk factors and desires of adults under probation according to empirical data, and suggested formulated measures useful in practice to select and categorize appropriate treatments.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.127-137
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• 2019

Recidivism prediction has been a subject of constant research by experts since the early 1970s. But it has become more important as committed crimes by recidivist steadily increase. Especially, in the 1990s, after the US and Canada adopted the 'Recidivism Risk Assessment Report' as a decisive criterion during trial and parole screening, research on recidivism prediction became more active. And in the same period, empirical studies on 'Recidivism Factors' were started even at Korea. Even though most recidivism prediction studies have so far focused on factors of recidivism or the accuracy of recidivism prediction, it is important to minimize the prediction misclassification cost, because recidivism prediction has an asymmetric error cost structure. In general, the cost of misrecognizing people who do not cause recidivism to cause recidivism is lower than the cost of incorrectly classifying people who would cause recidivism. Because the former increases only the additional monitoring costs, while the latter increases the amount of social, and economic costs. Therefore, in this paper, we propose an XGBoost(eXtream Gradient Boosting; XGB) based recidivism prediction model considering asymmetric error cost. In the first step of the model, XGB, being recognized as high performance ensemble method in the field of data mining, was applied. And the results of XGB were compared with various prediction models such as LOGIT(logistic regression analysis), DT(decision trees), ANN(artificial neural networks), and SVM(support vector machines). In the next step, the threshold is optimized to minimize the total misclassification cost, which is the weighted average of FNE(False Negative Error) and FPE(False Positive Error). To verify the usefulness of the model, the model was applied to a real recidivism prediction dataset. As a result, it was confirmed that the XGB model not only showed better prediction accuracy than other prediction models but also reduced the cost of misclassification most effectively.

• Journal of Korean Society of Transportation
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• v.27 no.3
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• pp.149-160
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• 2009

The purpose of this study is to comparatively analyse the behavior patterns of the first and the repeated offenders in DWI, and to develope the models of BAC(Blood Alcohol Concentration) by using multiple regression analysis method and a model of repeated DWI conviction by using logistic regression analysis method. The main results are as follows. First, the repeated offenders are more in criminal and traffic accidents records than that of the first offenders. The unlicenced drivers are in higher BAC than licenced drivers. Second, multiple regression model of BAC was developed, and the model revealed that criminal records and driving distance were important factors. Third, a model of repeated DWI conviction was developed, and the model revealed that traffic accidents records, whether or not having licence, and criminal records were most important factors.

• Korean Journal of Culture and Social Issue
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• v.10 no.2
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• pp.39-77
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• 2004

This literature review introduced the concept of psychopathy which has never been defined academically in Korea. Also it is reviewed how this concept could be applied as latent factor of criminal behavior in the forensic settings. For this purpose, first of all, the periodical change of psychopathy definition was explored. Then it was investigated which determinants might develop psychopathy and what would be the behavioral characteristics of psychopaths. Finally, risk assessment tools measuring psychopathy were introduced and their predictive efficacy and applicability in Korean criminal justice system was discussed.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.10 no.2
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• pp.201-211
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• 1999

Objectives：This study investigated the characteristics of detained delinquent adolescents and variables related to the repeated crime during 6 months after release. Methods：The socio-demographic and crime-related characteristics of 73 detained adolescents were evaluated by semi-structured interviews and police records, and the psychological characteristics of them measured by the MMPI. We also compared the characteristics between subjects with and without repeated crime during 6 months after release. Results：1) Most of detained adolescents had families with low socioeconomic status(77%) and broken families(48%). Sixty-six percent of them were dropped out of school. The most frequent crime pattern was theft(49%), and with accomplice(77%). Seventy-five percent of total subjects had the records of previous conviction. Of the previous convictions, seventy-eight percent was same with the present crimes. 2) Subjects with repeated crime during 6 months after release were younger and had higher T-score on Pa scale of MMPI than the subjects without repeated crime. More adolescents with repeated crime had broken families than those without repeated crime. They also showed the crime-related characteristics of higher percent of theft among crime patterns, higher incidence of previous conviction, younger age of the first crime, and shorter crime-free duration from the last to present crime. Conclusion：These results of present study suggest that the development and the persistence of adolescent delinquency would be resulted from interaction of factors of individual, family, school, and community. By the comparison between subjects with and without repeated crime, it was found that familial dysfunction, younger age at first crime, presence of previous conviction might be the risk factors for repeated delinquency. To prevent repeated crime of delinquent adolescents more effectively, early therapeutic intervention and the development of programs to help adaptation in school and community would be essential.

• Korean Journal of Culture and Social Issue
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• v.10 no.spc
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• pp.117-146
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• 2004

This paper is a preliminary literature review to give lights on the importance of academic research on sex offences. First, definition and etiological factors of sex offences were introduced and then it was attempted to classify offensive behaviors. Furthermore, it was explored on which aspects of our criminal justice system the research results in the Western societies could be applied. Related to recidivism research, risk factors were explored again and intervention strategies were investigated to reduce the future risk of sex offenders. Finally, these findings were evaluated for the applicability to Korean criminal justice system.

• 대한예방의학회:학술대회논문집
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• 1999.10a
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• pp.293-294
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• 1999

• 대한예방의학회:학술대회논문집
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• 1996.10a
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• pp.289-290
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• 1996

• The Journal of the Korea Contents Association
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• v.10 no.4
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• pp.348-358
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• 2010

The purpose of this study is estimate the effects of treatment program as it stands for drug abusers in prison. For this study, 46 drug-related prisoner were surveyed in January, 2008 at Jinju prison which has provided special treatments for drug-related offenders. This study shows that the present treatment systems or programs don't work effectively than expected. Prisoner feel present programs won't be very helpfully after release. And they feel correction officers don't have enough concern about prisoners or treatment to them. The result also emphasizes that family members or friends' support and belief is essential to prevent recidivism and to decrease such a possibility. According to this survey result, special concern to youth abuser is necessary. And it can give more effectiveness when authorities provide more medical or physical treatments than just based on routine lecturing. Furthermore, small group treatments would be more successful comparing with large member group based program. Drug abusers want more experience study or work study programs. Finally authority's, family's, friends's and colleague's interest or concern toward prisoners could contribute to raise up the possibility of rehabilitation.