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...
| Publicado en: | International Journal of Mental Health & Addiction Vol. 12; no. 3; pp. 351 - 367 |
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| Autores principales: | , , , , |
| Formato: | Artículo |
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Springer Nature
Jun2014
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=96252715&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 96252715 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 15571874 46AW jtl: International Journal of Mental Health & Addiction issn: 15571874 maglogo: N pubinfo: dt: Jun2014 vid: 12 iid: 3 pid: 237 pub: Springer Nature artinfo: ui: 96252715 10.1007/s11469-013-9459-9 ppf: 351 ppct: 16 formats: fmt: @attributes: type: P size: 352KB tig: 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 refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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