This study aims to compare the differences of crucial factors that are associated with
probation warning tickets between sex offenders and non-sex offenders in South Korea.
Serious high-profile cases have occurred in recent years which resulted in public and political
conners for successful sex offender management and monitoring strategy through community
corrections. The official response has been to initiate a series of legislative probation and
parole measures by using GPS electronic monitoring system, chemical castration, and sex
offender registry and notification.
In this context, the current study is designed to explore the major factors that could affect
the failure of probation by comparing the differences between sex offenders and non-sex
offenders in terms of their major factors which are related to the failure of probation. The
failure of probation is measured by the number of warning tickets which would be issued
when there is the violation of probation conditions.
The data is obtained from Seoul Probation office from January, 29, 2014 to February,
28, 2014. The sample number of sex offenders is 144 and the number of non-sex offenders
is 1,460. The data includes the information regarding the offenders who completed their
probation order after they were assigned to Seoul Probation in 2013. Furthermore, this study
uses the chi-square and logistic regression analysis by using SPSS statistical package program.
The result demonstrated that only prior criminal history was statistically significant factor
that was related to the number of warning tickets in the sex offender group when other
variables were controlled( =25.15, p<0.05, Nagelkerke R2=0.23)(b=0.19, SE=0.08,
p<0.05). By contrast, there were various factors that were associated with the number of warning tickets in non-sex offender group. Specifically, the logistic regression analysis for the
non-sex offenders showed that demographic variable(marital status and employment type),
offender-victim relationships, alcohol addiction, violent behavior, prior criminal history,
community service order, and attendance order were statistically significant factors that were
associated with the odds of warning tickets. Further policy implication will be discussed.