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Structural equation modeling assessment of key causal factors in computer crime victimization. (2008). Structural equation modeling assessment of key causal factors in computer crime victimization.

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Title	Structural equation modeling assessment of key causal factors in computer crime victimization
Abstract	This dissertation empirically assesses a computer-crime victimization model by applying Routine Activities Theory. Routine Activities Theory is arguably, as presented in detail in the main body of this study, merely an expansion of Hindelang, Gottfredson, and Garofalo's Lifestyle Exposure Theory. The components of Routine Activities Theory were tested via structural equation modeling to assess the existence of any statistical significance between individual online lifestyles, levels of computer security, and levels of individual computer-crime victimization. A self-report survey, which contained multiple measures of computer security, online lifestyles, and computer-crime victimization, was administered to 204 college students to gather data to test the model. This study was designed to convey two specific significant contributions to the empirical literature in Criminology. First, this study is the first empirical test focusing on individual computer-crime victimization via a theoretical approach using Routine Activities Theory. Second, utilizing structural equation modeling facilitates the assessment of the new theoretical model by illustrating an overall picture of the relationship among the causal factors in the proposed model. The findings from this study provide empirical supports for the components of Routine Activities Theory by delineating patterns of computer-crime victimization.
Date	2008

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Title: Structural equation modeling assessment of key causal factors in computer crime victimization
Personal Name(s): Choi, Kyung-shick
Giever, Dennis
Corporate Name(s): Indiana University of Pennsylvania
Criminology.
Note: Publisher info.: Dissertation/Thesis.
Advisors: Giever, Dennis Committee members: Daniel Lee; Randy Martin; Thomas Short.
Topical Subject(s): Social research
Criminology
Educational software