Toward a Classification of Juvenile Offenders: Subgroups of Serious Juvenile Offenders and Severity of Recidivism
The aim of this study was to identify subgroups of serious juvenile offenders on the basis of their risk profiles, using a data-driven approach. The sample consists of 1,147 of the top 5% most serious juvenile offenders in the Netherlands. A part of the sample, 728 juvenile offenders who had been re...
Main Author: | |
---|---|
Contributors: | ; ; |
Format: | Electronic Article |
Language: | English |
Published: |
2019
|
In: |
International journal of offender therapy and comparative criminology
Year: 2019, Volume: 63, Issue: 6, Pages: 819-836 |
Online Access: |
Volltext (Resolving-System) |
Journals Online & Print: | |
Check availability: | HBZ Gateway |
Keywords: |
MARC
LEADER | 00000caa a22000002 4500 | ||
---|---|---|---|
001 | 1670502686 | ||
003 | DE-627 | ||
005 | 20230426082350.0 | ||
007 | cr uuu---uuuuu | ||
008 | 190802s2019 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1177/0306624X10387518 |2 doi | |
035 | |a (DE-627)1670502686 | ||
035 | |a (DE-599)KXP1670502686 | ||
040 | |a DE-627 |b ger |c DE-627 |e rda | ||
041 | |a eng | ||
100 | 1 | |a Mulder, Eva |e VerfasserIn |4 aut | |
109 | |a Mulder, Eva | ||
245 | 1 | 0 | |a Toward a Classification of Juvenile Offenders |b Subgroups of Serious Juvenile Offenders and Severity of Recidivism |c Eva Mulder, Eddy Brand, Ruud Bullens, Hjalmar van Marle |
264 | 1 | |c 2019 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
520 | |a The aim of this study was to identify subgroups of serious juvenile offenders on the basis of their risk profiles, using a data-driven approach. The sample consists of 1,147 of the top 5% most serious juvenile offenders in the Netherlands. A part of the sample, 728 juvenile offenders who had been released from the institution for at least 2 years, was included in analyses on recidivism and the prediction of recidivism. Six subgroups of serious juvenile offenders were identified with cluster analysis on the basis of their scores on 70 static and dynamic risk factors: Cluster 1, antisocial identity; Cluster 2, frequent offenders; Cluster 3, flat profile; Cluster 4, sexual problems and weak social identity; Cluster 5, sexual problems; and Cluster 6, problematic family background. Clusters 4 and 5 are the most serious offenders before treatment, committing mainly sex offences. However, they have significantly lower rates of recidivism than the other four groups. For each of the six clusters, a unique set of risk factors was found to predict severity of recidivism. The results suggest that intervention should aim at different risk factors for each subgroup. | ||
700 | 1 | |a Brand, Eddy |e VerfasserIn |4 aut | |
700 | 1 | |a Bullens, Ruud |d 1951- |e VerfasserIn |0 (DE-588)170509826 |0 (DE-627)060610387 |0 (DE-576)187467005 |4 aut | |
700 | 1 | |a van Marle, Hjalmar |e VerfasserIn |4 aut | |
773 | 0 | 8 | |i Enthalten in |t International journal of offender therapy and comparative criminology |d London [u.a.] : Sage Publ., 1966 |g 63(2019), 6, Seite 819-836 |h Online-Ressource |w (DE-627)325163286 |w (DE-600)2034467-3 |w (DE-576)094533156 |x 1552-6933 |7 nnns |
773 | 1 | 8 | |g volume:63 |g year:2019 |g number:6 |g pages:819-836 |
856 | 4 | 0 | |u https://doi.org/10.1177/0306624X10387518 |x Resolving-System |3 Volltext |
951 | |a AR | ||
ELC | |a 1 | ||
LOK | |0 000 xxxxxcx a22 zn 4500 | ||
LOK | |0 001 3503286713 | ||
LOK | |0 003 DE-627 | ||
LOK | |0 004 1670502686 | ||
LOK | |0 005 20190802111922 | ||
LOK | |0 008 190802||||||||||||||||ger||||||| | ||
LOK | |0 040 |a DE-21-110 |c DE-627 |d DE-21-110 | ||
LOK | |0 092 |o n | ||
LOK | |0 689 |a s |a Juvenile offenders | ||
LOK | |0 689 |a s |a Subgroups | ||
LOK | |0 689 |a s |a Risk profile | ||
LOK | |0 689 |a s |a Severity | ||
LOK | |0 689 |a s |a Recidivism | ||
LOK | |0 852 |a DE-21-110 | ||
LOK | |0 852 1 |9 00 | ||
LOK | |0 935 |a krub |a krzo | ||
ORI | |a SA-MARC-krimdoka001.raw |