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Cited by 564

The DOI matches its Crossref record; 122 of the 122 references it cites were found in a registry or an index.

Toward a Developmental Criminology

Loeber, Rolf, Le Blanc, Marc·1990·Crime and Justice

Abstract

The study of criminality will benefit from a developmental perspective that employs analyses of within-subject changes. A review of the evidence shows continuity in offending between adolescence and adulthood and continuity between prepubertal conduct problems and later offending. Three developmental processes of offending include activation, aggravation, and desistance. A variety of documentation indicates that developmental sequences can be identified for conduct problems, substance use, and delinquency. Quantitative and qualitative changes occur in the course of offending. Understanding developmental processes provides valuable insights into formulating strategies for longitudinal studies that can help to discriminate better between correlates and causes of crime. Examining developmental processes as youngsters grow older, such as increases in physical strength and motor skills, the emergence of personality traits, sexual maturation, and greater opportunities for crime commission, provides important contextual information for studies of offending. Developmental theories have direct implications for the prevention of offending and treatment of offenders.

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Metadata

Authors
Loeber, R., & Le Blanc, M.
Venue
Crime and Justice
Published
1990-01
Volume
12
Pages
375-473
ISSN
  • 0192-3234 (ISSN-L)
  • 2153-0416
OpenAlex
W1963812576
Cited by
564
References
122
FWCI
27.24
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Toward a Developmental Criminology. https://app.cochat.ai/papers/10.1086/449169
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Loeber, R., & Le Blanc, M. (1990). Toward a Developmental Criminology. Crime and Justice. https://doi.org/10.1086/449169

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.