Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/145426
Title: Smartphone Addiction, Social Support, and Cybercrime Victimization: A Discrete Survival and Growth Mixture Model
Other Titles: La adicción a los teléfonos inteligentes, el apoyo social y la victimización en la ciberdelincuencia: un modelo de curvas de supervivencia para tiempo discreto y mixtura de crecimiento
Author: Herrero Olaizola, Juan
Torres, Andrea
Vivas i Elias, Pep  
Urueña, Alberto
Others: Universidad de Oviedo
Universitat Oberta de Catalunya
Universidad Politécnica de Madrid
Citation: Herrero Olaizola, J., Torres, A., Vivas-Elias, P. & Urueña, A. (2022). Smartphone Addiction, Social Support, and Cybercrime Victimization: A Discrete Survival and Growth Mixture Model. Psychosocial Intervention, 31(1), 59-66. doi: 10.5093/pi2022a3
Abstract: In recent decades, criminological theories have identified a set of vulnerabilities in potential victims that seek to explain their victimization. When it comes to explaining cybercrime victimization, however, the important role that addiction to the vulnerabilities associated with technological devices can play has tended to be overlooked. In this paper we empirically link smartphone addiction, social support, and cyberfraud victimization in a nationally representative sample of 716 smartphone users followed for three years. The results of discrete survival and growth mixture models suggest that the probability of cyberfraud victimization is lower among users with a decrease in smartphone addiction and an increase in social support over the three years. These results allow us to suggest new avenues in the study of cybercrime victimization, with special emphasis on the psychosocial consequences that the deregulated use of these technological devices may entail.
Keywords: cybercrime victimization
latent growth mixture modeling
smartphone addiction
social support
survival curves
DOI: https://doi.org/10.5093/pi2022a3
Document type: info:eu-repo/semantics/article
Version: info:eu-repo/semantics/publishedVersion
Issue Date: 12-Nov-2021
Publication license: http://creativecommons.org/licenses/by-nc-nd/4.0  
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