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...

Full description

Saved in:  
Bibliographic Details
Main Author: Mulder, Eva (Author)
Contributors: Brand, Eddy ; Bullens, Ruud ; van Marle, Hjalmar
Format: Electronic Article
Language:English
Published: 2019
In: International journal of offender therapy and comparative criminology
Online Access: Volltext (Resolving-System)
Journals Online & Print:
Drawer...
Check availability: HBZ Gateway
Keywords:
Juvenile offenders
Recidivism
Risk profile
Severity
Subgroups

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 
936 u w |d 63  |j 2019  |e 6  |h 819-836 
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