VTechWorks staff will be away for the winter holidays starting Tuesday, December 24, 2024, through Wednesday, January 1, 2025, and will not be replying to requests during this time. Thank you for your patience, and happy holidays!
 

Understanding the Overlap of Online Offending and Victimization: Using Cluster Analysis to Examine Group Differences

dc.contributor.authorParti, Katalinen
dc.contributor.authorDearden, Thomas E.en
dc.contributor.authorHawdon, James E.en
dc.date.accessioned2022-06-23T14:29:12Zen
dc.date.available2022-06-23T14:29:12Zen
dc.date.issued2022-06en
dc.date.updated2022-06-23T06:58:18Zen
dc.description.abstractCriminal offending and victimization often overlap in both the virtual and offline worlds. However, scholars are still unsure how the offending-victimization relationship plays out between the online and offline worlds. Using a sample of 2,491 adults, four clusters are discovered: 1) those unlikely to have offended or been victimized, 2) those who had online victimization and offending experiences, 3) Those who have been victimized offline and online, but who are unlikely to have offended, and 4) individuals who were victims both online and offline and offended online. Thus, the offending-victimization overlap may be common, but it is certainly not exclusive.en
dc.description.versionAccepted versionen
dc.format.extentPages 712-734en
dc.format.mimetypeapplication/pdfen
dc.identifier.citationKatalin Parti, Thomas E Dearden & James Hawdon (2022) Understanding the Overlap of Online Offending and Victimization: Using Cluster Analysis to Examine Group Differences, Victims & Offenders, 17:5, 712-734, DOI: 10.1080/15564886.2022.2036655en
dc.identifier.doihttps://doi.org/10.1080/15564886.2022.2036655en
dc.identifier.eissn1556-4991en
dc.identifier.issn1556-4886en
dc.identifier.issue5en
dc.identifier.orcidDearden, Thomas [0000-0003-0549-927X]en
dc.identifier.orcidParti, Katalin [0000-0002-8484-3237]en
dc.identifier.orcidHawdon, James [0000-0002-0273-2227]en
dc.identifier.urihttp://hdl.handle.net/10919/110896en
dc.identifier.volume17en
dc.language.isoenen
dc.publisherRoutledgeen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectCybercrimeen
dc.subjectCyberoffendingen
dc.subjectCybervictimizationen
dc.subjectCluster analysisen
dc.subjectPoly-victimizationen
dc.subjectPoly-offendingen
dc.titleUnderstanding the Overlap of Online Offending and Victimization: Using Cluster Analysis to Examine Group Differencesen
dc.title.serialVictims & Offendersen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.otherArticleen
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/Liberal Arts and Human Sciencesen
pubs.organisational-group/Virginia Tech/Liberal Arts and Human Sciences/Sociologyen
pubs.organisational-group/Virginia Tech/Liberal Arts and Human Sciences/CLAHS T&R Facultyen

Files

Original bundle
Now showing 1 - 2 of 2
Loading...
Thumbnail Image
Name:
PartiUnderstanding2022.pdf
Size:
518.29 KB
Format:
Adobe Portable Document Format
Description:
Accepted version (PDF)
Name:
PartiUnderstanding2022.docx
Size:
103.94 KB
Format:
Unknown data format
Description:
Accepted version (Word)