A latent class analysis of online victim-offender overlap among Chinese youth: examining overlap risks across online deviance types

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 fr...

Full description

Saved in:  
Bibliographic Details
Authors: Lin, Kai (Author) ; Zhou, You (Author) ; Xu, Boyang (Author) ; Chang, Lennon Y. C. (Author)
Format: Electronic Article
Language:English
Published: 2024
In: Crime & delinquency
Year: 2024, Volume: 00, Pages: 1-29
Online Access: Volltext (kostenfrei)
Volltext (kostenfrei)
Journals Online & Print:
Drawer...
Check availability: HBZ Gateway
Keywords:
Victim-offender overlap
online deviance
differential overlap risks
lifestyle theory
Latent Class Analysis

MARC

LEADER 00000naa a22000002c 4500
001 1934927554
003 DE-627
005 20250828125548.0
007 cr uuu---uuuuu
008 250828s2024 xx |||||o 00| ||eng c
024 7 |a 10.1177/00111287241266589  |2 doi 
035 |a (DE-627)1934927554 
035 |a (DE-599)KXP1934927554 
040 |a DE-627  |b ger  |c DE-627  |e rda 
041 |a eng 
084 |a 2,1  |2 ssgn 
100 1 |a Lin, Kai  |e VerfasserIn  |0 (DE-588)1313646199  |0 (DE-627)1876242213  |4 aut 
109 |a Lin, Kai 
245 1 2 |a A latent class analysis of online victim-offender overlap among Chinese youth  |b examining overlap risks across online deviance types  |c Kai Lin, You Zhou, Boyang Xu, and Lennon Y. C. Chang 
264 1 |c 2024 
300 |b Illustration 
336 |a Text  |b txt  |2 rdacontent 
337 |a Computermedien  |b c  |2 rdamedia 
338 |a Online-Ressource  |b cr  |2 rdacarrier 
500 |a Literaturverzeichnis: Seite 24-28 
520 |a 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. 
650 4 |a Victim-offender overlap 
650 4 |a online deviance 
650 4 |a differential overlap risks 
650 4 |a lifestyle theory 
650 4 |a Latent Class Analysis 
700 1 |a Zhou, You  |e VerfasserIn  |0 (orcid)0000-0002-9255-5403  |4 aut 
700 1 |a Xu, Boyang  |e VerfasserIn  |4 aut 
700 1 |a Chang, Lennon Y. C.  |e VerfasserIn  |0 (DE-588)116375336X  |0 (DE-627)1028113935  |0 (DE-576)361837682  |4 aut 
773 0 8 |i Enthalten in  |t Crime & delinquency  |d Thousand Oaks, Calif. [u.a.] : Sage Publications, 1960  |g 00(2024), 0, Seite 1-29  |h Online-Ressource  |w (DE-627)306655128  |w (DE-600)1499997-3  |w (DE-576)081985045  |x 1552-387X  |7 nnas 
773 1 8 |g volume:00  |g year:2024  |g number:0  |g pages:1-29 
856 4 0 |u https://doi.org/10.1177/00111287241266589  |x Resolving-System  |z kostenfrei  |3 Volltext 
856 4 0 |u https://journals.sagepub.com/doi/full/10.1177/00111287241266589  |x Verlag  |z kostenfrei  |3 Volltext 
951 |a AR 
ELC |a 1 
LOK |0 000 xxxxxcx a22 zn 4500 
LOK |0 001 4765142167 
LOK |0 003 DE-627 
LOK |0 004 1934927554 
LOK |0 005 20250828125548 
LOK |0 008 250828||||||||||||||||ger||||||| 
LOK |0 040   |a DE-21-110  |c DE-627  |d DE-21-110 
LOK |0 092   |o n 
LOK |0 852   |a DE-21-110 
LOK |0 852 1  |9 00 
OAS |a 1 
ORI |a WA-MARC-krimdoka001.raw