Typology of Cybercrime Victimization in Europe: A Multilevel Latent Class Analysis

The present study reveals hidden patterns of group membership across cybercrime victims in European countries. We used a multilevel latent class analysis of data from the 2019 Eurobarometer, a regionally representative sample of 21,908 individuals from 28 countries, to identify such subgroups and pa...

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Bibliographic Details
Published inCrime and delinquency Vol. 70; no. 4; pp. 1196 - 1223
Main Authors Lee, Claire Seungeun, Wang, Yan
Format Journal Article
LanguageEnglish
Published Los Angeles, CA SAGE Publications 01.04.2024
SAGE PUBLICATIONS, INC
Subjects
Computer security
Cybercrime
Guardianship
Individual differences
Latent class analysis
Membership
Risk
Victimization
Victims
Victims of crime
Europe
routine activities theory
multilevel latent class analysis
Europe
cybercrime victimization
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Summary:The present study reveals hidden patterns of group membership across cybercrime victims in European countries. We used a multilevel latent class analysis of data from the 2019 Eurobarometer, a regionally representative sample of 21,908 individuals from 28 countries, to identify such subgroups and patterns of cybercrime victimization. The findings suggest there are two overarching cybercrime victim profiles in Europe based on individuals’ levels of “online activity” and “cybersecurity guardianship”: the “at-risk class” (19%, higher risk) and the “cautious class” (81%, lower risk). Ten different types of cybercrime victimization were compared, and while individual-level predictors were primarily used to produce different groups of cybercrime victims, our findings suggest that researchers consider both individual- and country-level predictors to understand cybercrime victimization patterns in greater depth.
ISSN:0011-1287
1552-387X
DOI:10.1177/00111287221118880