Assessing Internet Addiction Using the Parsimonious Internet Addiction Components Model—A Preliminary Study

Kuss, D.J. and Shorter, Gillian W. and van Rooij, Antonius J. and Griffiths, Mark D. and Schoenmakers, Tim M. (2014) Assessing Internet Addiction Using the Parsimonious Internet Addiction Components Model—A Preliminary Study. International Journal of Mental Health and Addiction. ISSN 1557-1874

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Internet usage has grown exponentially over the last decade. Research indicates that excessive Internet use can lead to symptoms associated with addiction. To date, assessment of potential Internet addiction has varied regarding populations studied and instruments used, making reliable prevalence estimations difficult. To overcome the present problems a preliminary study was conducted testing a parsimonious Internet addiction components model based on Griffiths’ addiction components (Journal of Substance Use, 10, 191–197, 2005), including salience, mood modification, tolerance, withdrawal, conflict, and relapse. Two validated measures of Internet addiction were used (Compulsive Internet Use Scale [CIUS], Meerkerk et al. in Cyberpsychology & Behavior, 12(1), 1–6, 2009, and Assessment for Internet and Computer Game Addiction Scale [AICA-S], Wölfling et al. 2010) in two independent samples (ns = 3,105 and 2,257). The fit of the model was analysed using Confirmatory Factor Analysis. Results indicate that the Internet addiction components model fits the data in both samples well. The two sample/two instrument approach provides converging evidence concerning the degree to which the components model can organize the self-reported behavioural components of Internet addiction. Recommendations for future research include a more detailed assessment of tolerance as addiction component

Item Type: Article
Identification Number:
19 October 2013Published Online
15 June 2013Accepted
15 June 2014Published
Subjects: CAH04 - psychology > CAH04-01 - psychology > CAH04-01-01 - psychology (non-specific)
Divisions: Faculty of Business, Law and Social Sciences > School of Social Sciences > Dept. Psychology
Depositing User: Silvio Aldrovandi
Date Deposited: 29 Aug 2018 14:56
Last Modified: 03 Mar 2022 15:43

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