A Latent Class Analysis of Online Victim-Offender Overlap among Chinese Youth: Examining Overlap Risks across Online Deviance Types

Lin, K; Zhou, Y; Xu, B; Chang, LYC

A Latent Class Analysis of Online Victim-Offender Overlap among Chinese Youth: Examining Overlap Risks across Online Deviance Types

Lin, K

Zhou, Y Xu, B Chang, LYC

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Publisher:: SAGE Publications
Publication Type:: Journal Article
Citation:: Crime & Delinquency

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Field	Value	Language
dc.contributor.author	Lin, K https://orcid.org/0000-0003-3966-0009
dc.contributor.author	Zhou, Y
dc.contributor.author	Xu, B
dc.contributor.author	Chang, LYC
dc.date.accessioned	2024-08-13T19:22:23Z
dc.date.available	2024-08-13T19:22:23Z
dc.identifier.citation	Crime & Delinquency
dc.identifier.issn	0011-1287
dc.identifier.issn	1552-387X
dc.identifier.uri	http://hdl.handle.net/10453/180402
dc.description.abstract	<jats:p> This study aims to comprehensively test the applicability of lifestyle exposure theory (LET) against other criminogenic and victimogenic factors in predicting the differential risks of online offending-victimization overlap across multiple types of online deviance. Using self-reported survey data from 3,741 Chinese college students, the study performed Latent Class Analysis (LCA) and posterior multinomial logistic regression analysis. The LCA identified five latent classes of offending-victimization overlap, with only 6% of respondents reporting high overlap risk. Posterior multinomial logistic regression analysis showed that LET indicators and gender emerged as the most robust predictors of overlap risks compared to other theory-driven (e.g., control and routine activity theories) and sociodemographic factors. The current study accentuates the importance of methodological diversity in examining victim-offender overlap. </jats:p>
dc.language	en
dc.publisher	SAGE Publications
dc.relation.ispartof	Crime & Delinquency
dc.relation.isbasedon	10.1177/00111287241266589
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	1602 Criminology, 1801 Law
dc.subject.classification	Criminology
dc.subject.classification	4402 Criminology
dc.subject.classification	4804 Law in context
dc.subject.classification	4805 Legal systems
dc.title	A Latent Class Analysis of Online Victim-Offender Overlap among Chinese Youth: Examining Overlap Risks across Online Deviance Types
dc.type	Journal Article
utslib.for	1602 Criminology
utslib.for	1801 Law
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Arts and Social Sciences
pubs.organisational-group	University of Technology Sydney/Faculty of Arts and Social Sciences/School of International Studies
utslib.copyright.status	open_access	*
dc.rights.license	This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/
dc.date.updated	2024-08-13T19:22:22Z
pubs.publication-status	Published online

Abstract:

This study aims to comprehensively test the applicability of lifestyle exposure theory (LET) against other criminogenic and victimogenic factors in predicting the differential risks of online offending-victimization overlap across multiple types of online deviance. Using self-reported survey data from 3,741 Chinese college students, the study performed Latent Class Analysis (LCA) and posterior multinomial logistic regression analysis. The LCA identified five latent classes of offending-victimization overlap, with only 6% of respondents reporting high overlap risk. Posterior multinomial logistic regression analysis showed that LET indicators and gender emerged as the most robust predictors of overlap risks compared to other theory-driven (e.g., control and routine activity theories) and sociodemographic factors. The current study accentuates the importance of methodological diversity in examining victim-offender overlap.

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http://hdl.handle.net/10453/180402