Literature DB >> 17175023

Subtypes of female juvenile offenders: a cluster analysis of the Millon Adolescent Clinical Inventory.

Tres Stefurak1, Georgia B Calhoun.   

Abstract

The current study sought to explore subtypes of adolescents within a sample of female juvenile offenders. Using the Millon Adolescent Clinical Inventory with 101 female juvenile offenders, a two-step cluster analysis was performed beginning with a Ward's method hierarchical cluster analysis followed by a K-Means iterative partitioning cluster analysis. The results suggest an optimal three-cluster solution, with cluster profiles leading to the following group labels: Externalizing Problems, Depressed/Interpersonally Ambivalent, and Anxious Prosocial. Analysis along the factors of age, race, offense typology and offense chronicity were conducted to further understand the nature of found clusters. Only the effect for race was significant with the Anxious Prosocial and Depressed Intepersonally Ambivalent clusters appearing disproportionately comprised of African American girls. To establish external validity, clusters were compared across scales of the Behavioral Assessment System for Children - Self Report of Personality, and corroborative distinctions between clusters were found here.

Entities:  

Mesh:

Year:  2006        PMID: 17175023     DOI: 10.1016/j.ijlp.2006.04.003

Source DB:  PubMed          Journal:  Int J Law Psychiatry        ISSN: 0160-2527


  3 in total

1.  Personality heterogeneity in female adolescent inpatients with features of eating disorders.

Authors:  Christopher J Hopwood; Emily B Ansell; Dwain C Fehon; Carlos M Grilo
Journal:  Compr Psychiatry       Date:  2010 Nov-Dec       Impact factor: 3.735

2.  Serious juvenile offenders: classification into subgroups based on static and dynamic charateristics.

Authors:  Sanne L Hillege; Eddy F J M Brand; Eva A Mulder; Robert R J M Vermeiren; Lieke van Domburgh
Journal:  Child Adolesc Psychiatry Ment Health       Date:  2017-12-22       Impact factor: 3.033

3.  Using the biopsychosocial model for identifying subgroups of detained juveniles at different risk of re-offending in practice: a latent class regression analysis approach.

Authors:  E L de Ruigh; S Bouwmeester; A Popma; R R J M Vermeiren; L van Domburgh; L M C Jansen
Journal:  Child Adolesc Psychiatry Ment Health       Date:  2021-06-22       Impact factor: 3.033

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.