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Identifying and Understanding Delinquency and Violence Trajectories Using Latent Class Analyses

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Abstract:

This study identifies and predicts different adolescent to young adult antisocial trajectories. Data were drawn from the Adolescent Health (N = 20805, mean age = 16.7, SD = 1.84). Separate Latent Class Analyses by sex supported the existence of 6 male and 4 female subgroups defined by Waves I, II, and III delinquency and violence levels. Male groupings included nondelinquents (22%), moderately delinquent and violent persisters (6%), and 4 desister groups differing in adolescent delinquency and violence levels and early vs. late desistence timing. Using the group that persisted for both moderate levels of delinquency and violence into young adulthood as the reference group, multinomial logistic regressions for males predicted different desistence patterns from individual, family, school, and community factors. Results include that youth arrest and school problems were both less likely among overall desisters and early desisters; but both these factors, and low GPA, were more likely among a third desisting group of individuals, who were highly delinquent and moderately violent as youth but desisted in violence yet not delinquency. The persisters were more likely than overall desisters and the initially high delinquent but reduced violence group to come from disadvantaged neighborhoods. Female results will also be reported.
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Association:
Name: ASC Annual Meeting
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http://www.asc41.com


Citation:
URL: http://citation.allacademic.com/meta/p372684_index.html
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MLA Citation:

Zheng, Yao. and Cleveland, Bo. "Identifying and Understanding Delinquency and Violence Trajectories Using Latent Class Analyses" Paper presented at the annual meeting of the ASC Annual Meeting, Philadelphia Marriott Downtown, Philadelphia, PA, Nov 04, 2009 <Not Available>. 2014-11-28 <http://citation.allacademic.com/meta/p372684_index.html>

APA Citation:

Zheng, Y. and Cleveland, B. , 2009-11-04 "Identifying and Understanding Delinquency and Violence Trajectories Using Latent Class Analyses" Paper presented at the annual meeting of the ASC Annual Meeting, Philadelphia Marriott Downtown, Philadelphia, PA <Not Available>. 2014-11-28 from http://citation.allacademic.com/meta/p372684_index.html

Publication Type: Conference Paper/Unpublished Manuscript
Review Method: Peer Reviewed
Abstract: This study identifies and predicts different adolescent to young adult antisocial trajectories. Data were drawn from the Adolescent Health (N = 20805, mean age = 16.7, SD = 1.84). Separate Latent Class Analyses by sex supported the existence of 6 male and 4 female subgroups defined by Waves I, II, and III delinquency and violence levels. Male groupings included nondelinquents (22%), moderately delinquent and violent persisters (6%), and 4 desister groups differing in adolescent delinquency and violence levels and early vs. late desistence timing. Using the group that persisted for both moderate levels of delinquency and violence into young adulthood as the reference group, multinomial logistic regressions for males predicted different desistence patterns from individual, family, school, and community factors. Results include that youth arrest and school problems were both less likely among overall desisters and early desisters; but both these factors, and low GPA, were more likely among a third desisting group of individuals, who were highly delinquent and moderately violent as youth but desisted in violence yet not delinquency. The persisters were more likely than overall desisters and the initially high delinquent but reduced violence group to come from disadvantaged neighborhoods. Female results will also be reported.


Similar Titles:
Examining the Latent Class Structure of Delinquency Across Informants

Heterogeneity in Health Trajectories of Older Adults and Socioeconomic Stratification: A Latent Trajectory Class Analysis

Identifying Latent Classes of Sexual Dysfunctions among Old Adults in the Unites States


 
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