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Differential Longitudinal Associations of Juvenile Status and Delinquent Offenses with Incidence of Software Piracy Among Adolescent Consumers

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This study examines influences of two types of offenses, juvenile status and other delinquent offenses, in adolescent software piracy, based on the General Theory of Crime and Problem Behavior Theory. Other variables were added to the model based on the theories. The 1st to 4th waves from the Korea Youth Panel Survey collected since 2003 were utilized for the analysis, and panel logistic analysis focusing on a fixed effects model was performed to examine within-individual changes over time. Findings showed a significant association of software piracy with juvenile status offense but not with other delinquent offenses. Self-control and self-esteem were significant influences, while delinquent friends showed no significant effect. Parental attachment and mental health problems were significant, while daily computer use was marginally significant (p < .08). Gender differences were discovered through gender-specific analyses. Results are discussed within the social and cultural context of South Korea, and implications and limitations are addressed.

Abstract

This study examines influences of two types of offenses, juvenile status and other delinquent offenses, in adolescent software piracy, based on the General Theory of Crime and Problem Behavior Theory. Other variables were added to the model based on the theories. The 1st to 4th waves from the Korea Youth Panel Survey collected since 2003 were utilized for the analysis, and panel logistic analysis focusing on a fixed effects model was performed to examine within-individual changes over time. Findings showed a significant association of software piracy with juvenile status offense but not with other delinquent offenses. Self-control and self-esteem were significant influences, while delinquent friends showed no significant effect. Parental attachment and mental health problems were significant, while daily computer use was marginally significant (p < .08). Gender differences were discovered through gender-specific analyses. Results are discussed within the social and cultural context of South Korea, and implications and limitations are addressed.

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