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October 8, 2025Psychiatry Psychology and LawOpen Access

Distinct group, distinct traits? A comparison of risk factors across cybercrime offenders, traditional offenders and non-offenders

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Authors

LBL. M. J. BekkersAMAsier MonevaRLRutger Leukfeldt

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Overview

This analysis compares risk factors for cybercrime offenders and traditional offenders, revealing unique traits among groups.

Key Points

  • Analysis reveals that risk factors differ significantly between cybercrime offenders and traditional offenders.
  • A multinomial logistic regression model was used to analyze data from 1,240 participants aged 16 to 25.
  • Cyber-dependent offenders exhibit distinct traits, while financial cybercrime offenders resemble traditional offenders more closely.
  • Higher self-control, typically seen as protective, may actually create opportunities for engaging in cybercrime.

Cite This Study

Bekkers et al. (2025) studied this question.

synapsesocial.com/papers/68e5c1b46950a706b22b4e49https://doi.org/10.1080/13218719.2025.2546311
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Cyber Offending Among Young People: an Analysis of the Correlates for Different Categories of Cyber-Dependent Offending Using the Triple Risk Delinquency Framework2026
  2. 2Cumulative effects of risk factors and protective factors for cybercrime offending2026
  3. 3Criminological portrait of a cybercriminal: domestic and foreign experience2025 · 1 citations
  4. 4The offender’s personality as an element of the forensic characteristic of cybercrime2025
  5. 5Traditional social learning predicts cyber deviance? Exploring the offending versatility thesis in social learning theory2024 · 14 citations