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Presentation
A Predictive Model of Internet Addiction: The Role of Alienation
Idaho Conference on Undergraduate Research
  • Christopher R. Palasch, Boise State University
  • Brian W. Stone, (Mentor), Boise State University
Additional Funding Sources
The research described was supported by Boise State University.
Abstract

Psychological research on internet addiction (IA) has mainly covered the validity of its classification as an addiction diagnosis, related IA sub-activities (e.g., social media and pornography), and its relation to various mental health issues (e.g., depression). An underexplored aspect within the literature is the role of alienation as a factor that may contribute to an individual developing IA or an IA related disorder. The current study utilized a survey-based questionnaire to analyze internet usage, related sub-activities, and the role internet usage plays in individuals struggling with various mental health issues. We also utilized regression analysis to create a predictive model for IA to determine which factors were the most concerning and to investigate whether or not alienation played a critical role in an individual developing an IA related issue. Our results found that alienation is a significant predictor of internet addiction presenting evidence that alienation is a factor worthy of focus in future research.

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Citation Information
Christopher R. Palasch and Brian W. Stone. "A Predictive Model of Internet Addiction: The Role of Alienation"
Available at: http://works.bepress.com/brian-stone/19/