The transition from adolescence to adulthood also has been described as a window of opportunity or vulnerability when developmental and contextual changes converge to support positive turnarounds and redirections (Masten, Long, Kuo, McCormick, & Desjardins, 2009; Masten, Obradović, & Burt, 2006). The transition years also are a criminological crossroads, as major changes in criminal careers often occur at these ages as well. For some who began their criminal careers during adolescence, offending continues and escalates; for others involvement in crime wanes; and yet others only begin serious involvement in crime at these ages. There are distinctive patterns of offending that emerge during the transition from adolescence to adulthood. One shows a rise of offending in adolescence and the persistence of high crime rates into adulthood; a second reflects the overall age-crime curve pattern of increasing offending in adolescence followed by decreases during the transition years; and the third group shows a late onset of offending relative to the age-crime curve. Developmental theories of offending ought to be able to explain these markedly different trajectories
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Criminologists have frequently debated whether offenders are specialists, in that they consistently perform either one offense or similar offenses, or versatile by performing any crime based on opportunities and situational provocations. Such foundational research has yet to be developed regarding cybercrimes, or offenses enabled by computer technology and the Internet. This study address this issue using a sample of 37 offender networks. The results show variations in the offending behaviors of those involved in cybercrime. Almost half of the offender networks in this sample appeared to be cybercrime specialists, in that they only performed certain forms of cybercrime. The other half performed various types of crimes on and offline. The relative equity in specialization relative to versatility, particularly in both on and offline activities, suggests that there may be limited value in treating cybercriminals as a distinct offender group. Furthermore, this study calls to question what factors influence an offender's pathway into cybercrime, whether as a specialized or versatile offender. The actors involved in cybercrime networks, whether as specialists or generalists, were enmeshed into broader online offender networks who may have helped recognize and act on opportunities to engage in phishing, malware, and other economic offenses.
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Based on the results of two research projects from the Netherlands, this paper explores how street oriented persons adapt and use digital technologies by focusing on the changing commission of instrumental, economically motivated, street crime. Our findings show how social media are used by street offenders to facilitate or improve parts of the crime script of already existing criminal activities but also how street offenders are engaging in criminal activities not typically associated with the street, like phishing and fraud. Taken together, this paper documents how technology has permeated street life and contributed to the ‘hybridization’ of street offending in the Netherlands—i.e. offending that takes place in person and online, often at the same time.
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Substance abuse is an important risk factor for offending, but is mostly studied in males. The aim of this multicentre study is to gain insight into possible gender differences in substance abuse history and offending behavior in forensic psychiatric patients. Files were analyzed of 275 women and 275 matched men who have been admitted between 1984 and 2014 to one of four Dutch gender-mixed forensic hospitals. Risk assessment ratings were related to registered violent incidents during treatment for both women and men and to official recidivism data after discharge for a subgroup of 78 women. Substance abuse history was coded as a risk factor for more than half of the women (56.7%), but significantly more often for men (68.4%). Men were more often diagnosed with substance dependence and more frequently committed the index-offense whilst intoxicated. Prediction of violent incidents during treatment was more accurate for men. A history of substance abuse was not a significant predictor for recidivism after discharge in the subgroup women. It is concluded that there are gender differences in substance abuse history and that the relationship with offending behavior seems stronger for men. These differences have implications for substance use treatment in forensic mental health services.
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Full text aanvragen via link What makes a juvenile delinquent develop into an adult criminal? What defines-cognitively, developmentally, legally-the transition from juvenile to adult and what determines whether patterns of criminal behavior persist? In most US states and Western nations, legal adulthood begins at age 18. This volume focuses on the period surrounding that abrupt transition (roughly ages 15-29) and addresses what happens to offending careers during it. Edited by two leading authorities in the fields of psychology and criminology, Transitions from Juvenile Delinquency to Adult Crime examines why the period of transition is important and how it can be better understood and addressed both inside and outside of the justice system.
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This meta-analysis investigated the long term effects of prevention programs conducted during early and middle childhood on criminal offending during adulthood. The analyses included 3611 participants in 9 programs. The effect size for adult criminal offending was significant, but small in magnitude (OR=1.26; 95% CI=1.06-1.50, p=.011). The effects of the programs on positive outcomes (academic attainment and involvement in productive activity, such as being engaged in school or work) were somewhat larger and more consistent than effects on crime (OR=1.36, 95% CI=1.20-1.55, p<.001). Several participant and program characteristics moderated the effectiveness of (early) prevention. Children who were more at-risk and those from a lower SES benefited more. Shorter, but more intensive programs, and programs that focus on social and behavioral skills, rather than on academic skills or family support, tend to produce larger effects. Taken together, these results indicate that early prevention programs can help put children on a more positive developmental trajectory that is maintained into adulthood, but there is still no convincing evidence that they can prevent adult crime. Implications of the findings for research, policy and clinical practice are discussed.
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The past two decades, a disproportionate growth of females entering the criminal justice system and forensic mental health services has been observed worldwide. However, there is a lack of knowledge on the background of women who are convicted for violent offenses. What is their criminal history, what are their motives for offending and in which way do they differ from men convicted for violent offenses? In this study, criminal histories and the offenses for which they were admitted to forensic care were analyzed of 218 women and 218 men who have been treated between 1984 and 2014 with a mandatory treatment order in one of four Dutch forensic psychiatric settings admitting both men and women. It is concluded that there are important differences in violent offending between male and female patients. Most importantly, female violence was more often directed towards their close environment, like their children, and driven by relational frustration. Furthermore, female patients received lower punishments compared to male patients and were more often considered to be diminished accountable for their offenses due to a mental illness.
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Although studies point to a relationship between debt and crime, there is a limited understanding of their reciprocal relationship and possible mediating risk factors. Moreover, knowledge about the prevalence and scope of debt among offenders is lacking. Therefore, the present study analyzed 250 client files including risk assessment data from the Dutch probation service on the prevalence of debt and possibly related risk factors. The results show that debt is highly prevalent and complex, which underlines the importance of acquiring more knowledge about debt as a potential risk factor for relapse during supervision. It was found that problems with regard to childhood and living situation, education and work/daytime activities, and mental and physical health may be possible underlying risk factors in the relationship between debt and crime. These insights can help professionals adequately support clients with regard to debt in order to prevent recidivism
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Although studies point to a relationship between debt and crime, there is a limited understanding of their reciprocal relationship and possible mediating risk factors. Moreover, knowledge about the prevalence and scope of debt among offenders is lacking. Therefore, the present study analyzed 250 client files including risk assessment data from the Dutch probation service on the prevalence of debt and possibly related risk factors. The results show that debt is highly prevalent and complex, which underlines the importance of acquiring more knowledge about debt as a potential risk factor for relapse during supervision. It was found that problems with regard to childhood and living situation, education and work/daytime activities, and mental and physical health may be possible underlying risk factors in the relationship between debt and crime. These insights can help professionals adequately support clients with regard to debt in order to prevent recidivism. debt and crime. These insights can help professionals adequately support clients with regard to debt in order to prevent recidivism.
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Longitudinal criminological studies greatly improved our understanding of the longitudinal patterns of criminality. These studies, however, focused almost exclusively on traditional types of offending and it is therefore unclear whether results are generalizable to online types of offending. This study attempted to identify the developmental trajectories of active hackers who perform web defacements. The data for this study consisted of 2,745,311 attacks performed by 66,553 hackers and reported to Zone-H between January 2010 and March 2017. Semi-parametric group-based trajectory models were used to distinguish six different groups of hackers based on the timing and frequency of their defacements. The results demonstrated some common relationships to traditional types of crime, as a small population of defacers accounted for the majority of defacements against websites. Additionally, the methods and targeting practices of defacers differed based on the frequency with which they performed defacements generally.
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