Literature DB >> 17958130

Moral judgment and conduct disorder intensity in adolescents involved in delinquency: matching controls by school grade.

Lionel Chudzik1.   

Abstract

Most studies that have found associations between delinquency and moral judgment generally compare incarcerated juveniles with adolescents in normal schooling. However, this comparison is subject to two criticisms. First, a large number of adolescents in school who are not charged with any crime in the legal system are still involved in unlawful behaviour. Second, adolescents involved with delinquency often have difficulties at school. The aim of the present study was to measure this association by matching a sample of adolescents involved with delinquency (n=18, M age=15.8, SD=1.1) to adolescents not involved in delinquency (n=42, M age=15.8, SD=0.8) according to their school grade and Conduct Disorder Intensity as measured by a self-report index using DSM-IV diagnostic criteria. Participants who met four or more criteria were assigned to the High Conduct Disorder group (n=28), and the rest were assigned to the Low Conduct Disorder group (n=32). Their level of moral judgment was evaluated with the French version of the Sociomoral Reflection Measure-Short Form by Gibbs, Basinger, and Fuller, inspired by Kohlberg's model of moral development. Findings demonstrate that in both samples, adolescents in the High Conduct Disorder group presented moral judgment that was significantly less mature than that of adolescents in the Low Conduct Disorder group. However, the majority of participants in the Low Conduct Disorder group also scored low on the Sociomoral Reflection Measure-Short Form, suggesting more immature moral judgment. The bias introduced by the mode of recruitment in most comparisons of adolescents involved with delinquency to adolescents with no delinquency problems is discussed, and an argument is made for the importance of analysing moral judgment development within a framework of general cognitive development.

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Year:  2007        PMID: 17958130     DOI: 10.2466/pr0.101.1.221-236

Source DB:  PubMed          Journal:  Psychol Rep        ISSN: 0033-2941


  1 in total

1.  Large-scale functional brain networks of maladaptive childhood aggression identified by connectome-based predictive modeling.

Authors:  Karim Ibrahim; Stephanie Noble; George He; Cheryl Lacadie; Michael J Crowley; Gregory McCarthy; Dustin Scheinost; Denis G Sukhodolsky
Journal:  Mol Psychiatry       Date:  2021-10-25       Impact factor: 13.437

  1 in total

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