Risk profiles in a Spanish sample of juvenile offenders: implications for risk assessment and management

被引:2
作者
Maneiro, Lorena [1 ,2 ]
Argudo, Aaron [1 ]
Gomez-Fraguela, Xose Anton [1 ]
机构
[1] Univ Santiago de Compostela, Dept Clin Psychol & Psychobiol, Santiago De Compostela, Spain
[2] Leiden Univ, Inst Educ & Child Studies, Leiden, Netherlands
关键词
Risk management; juvenile offenders; YLS; CMI; latent class analysis; risk factors; LATENT CLASS ANALYSIS; YOUNG OFFENDERS; PREDICTIVE-VALIDITY; YOUTH LEVEL; RNR MODEL; NEEDS; JUSTICE; METAANALYSIS; BEHAVIOR; YLS/CMI;
D O I
10.1080/1068316X.2022.2055757
中图分类号
DF [法律]; D9 [法律];
学科分类号
0301 ;
摘要
Risk assessment instruments are designed to help juvenile justice practitioners in decision-making and intervention planning. Previous findings showed that a cumulative risk would be useful in predicting reoffending, whereas a person-centered approach would be more appropriate for risk management and intervention development. Thus, the goal of the current study was to identify risk profiles of juvenile offenders based on the scores obtained in the eight factors assessed by the Youth Level of Service/Case Management Inventory (YLS/CMI) and analyze how they differ in a set of youth demographic factors. The sample was composed of 334 young offenders, 77.2% males, aged 14-21 (M = 16.96; SD = 1.35). The results showed a better fit for the four-class solution, which classified individuals into four different profiles according to their scores on the YLS/CMI: low-needs, antisocial/peers, psychosocial and high-needs. Differences among subgroups were found in terms of gender, age, type of offense and juvenile justice measure. Males were overrepresented in the antisocial/peers and the high-needs groups, and both the low- and high-needs groups were composed by older youths. The identified profiles also differed in type of offenses and in juvenile justice measures. The implications of these results are discussed in terms of risk management.
引用
收藏
页码:1142 / 1160
页数:19
相关论文
共 49 条
  • [41] Risk assessment for juvenile justice: A meta-analysis
    Schwalbe, Craig S.
    [J]. LAW AND HUMAN BEHAVIOR, 2007, 31 (05) : 449 - 462
  • [42] Classifying Offenders An Application of Latent Class Analysis to Needs Assessment in Juvenile Justice
    Schwalbe, Craig S.
    Macy, Rebecca J.
    Day, Steven H.
    Fraser, Mark W.
    [J]. YOUTH VIOLENCE AND JUVENILE JUSTICE, 2008, 6 (03) : 279 - 294
  • [43] Shaw M., 2003, Forum on Crime and Society, V3, P35
  • [44] A comparative study of violence risk assessment tools: A systematic review and metaregression analysis of 68 studies involving 25,980 participants
    Singh, Jay P.
    Grann, Martin
    Fazel, Seena
    [J]. CLINICAL PSYCHOLOGY REVIEW, 2011, 31 (03) : 499 - 513
  • [45] A Cross-Validation of the Youth Level of Service/Case Management Inventory (YLS/CMI) Among Japanese Juvenile Offenders
    Takahashi, Masaru
    Mori, Takemi
    Kroner, Daryl G.
    [J]. LAW AND HUMAN BEHAVIOR, 2013, 37 (06) : 389 - 400
  • [46] Cross-cultural reliability and rater bias in forensic risk assessment: a review of the literature
    Venner, Samantha
    Sivasubramaniam, Diane
    Luebbers, Stefan
    Shepherd, Stephane M.
    [J]. PSYCHOLOGY CRIME & LAW, 2021, 27 (02) : 105 - 121
  • [47] How to Improve the YLS/CMI? Exploring a Particularly Predictive Combination of Items
    Villanueva, Lidon
    Basto-Pereira, Miguel
    Cuervo, Keren
    [J]. INTERNATIONAL JOURNAL OF OFFENDER THERAPY AND COMPARATIVE CRIMINOLOGY, 2020, 64 (09) : 922 - 937
  • [48] The Heterogeneity of Treatment Needs for Justice-Involved Girls A Typology Using Latent Class Analysis
    Walker, Sarah Cusworth
    Bishop, Asia S.
    Nurius, Paula S.
    Logan-Greene, Patricia
    [J]. CRIMINAL JUSTICE AND BEHAVIOR, 2016, 43 (03) : 323 - 342
  • [49] Understanding Changes in Youth Offenders' Risk Profiles: A Latent Transition Analysis
    Xu, Xuexin
    Li, Dongdong
    Chu, Chi Meng
    Chng, Grace S.
    Ruby, Kala
    [J]. YOUTH VIOLENCE AND JUVENILE JUSTICE, 2020, 18 (03) : 294 - 312