Assessing Internet Addiction Using the Parsimonious Internet Addiction Components Model-A Preliminary Study.

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 es...

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Publicado en:International Journal of Mental Health & Addiction Vol. 12; no. 3; pp. 351 - 367
Autores principales: Kuss, Daria, Shorter, Gillian, Rooij, Antonius, Griffiths, Mark, Schoenmakers, Tim
Formato: Artículo
Publicado: Springer Nature Jun2014
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Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jun2014
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        10.1007/s11469-013-9459-9
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        atl: Assessing Internet Addiction Using the Parsimonious Internet Addiction Components Model-A Preliminary Study.
      aug:
        au:
          Kuss, Daria
          Shorter, Gillian
          Rooij, Antonius
          Griffiths, Mark
          Schoenmakers, Tim
        affil:
          Birmingham City University, City North Campus Birmingham B42 2SU UK
          International Gaming Research Unit, Nottingham Trent University, Burton Street Nottingham NG14GN UK
      su:
        Internet addiction
        Confirmatory factor analysis
        Self-control
        Parsimonious models
        Behavioral assessment
      sug:
        subj:
          Internet addiction
          Confirmatory factor analysis
          Self-control
          Parsimonious models
          Behavioral assessment
      keyword:
        Addiction components
        Behavioural addiction
        Classification
        Diagnosis
        Addiction components
        Behavioural addiction
        Classification
        Diagnosis
      ab: 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, ), 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, , and Assessment for Internet and Computer Game Addiction Scale [AICA-S], Wölfling et al. ) 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.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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