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

Bibliographic Data

ID15440603
AuthorsDaria J Ku (0000-0001-8917-782X, Birmingham City University, corresponding author), Gillian W Shorter (0000-0001-5752-2297, Centre for Mental Health), Antonius J van Rooij (0000-0003-4516-3551, IVO Addiction Research Institute), Mark D Griffiths (0000-0001-8880-6524, Nottingham Trent University), M A Griffiths (0000-0003-3070-1804), Tim M Schoenmakers (0000-0003-1314-9464, IVO Addiction Research Institute)
Year2013
Publication date2013-10-18
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Mental Health and Addiction (JOURNAL)
Journal identifiersISSN: 1557-1874 • E-ISSN: 1557-1882
PublisherSpringer Science+Business Media (PUBLISHER • DE)
DOI10.1007/s11469-013-9459-9
OpenAlexW2061253711
LanguageEN
Citations received30
References cited65

Addiction · Addictive behavior · Behavioral addiction · Cognitive psychology · Confirmatory factor analysis · Health psychology · Machine learning · Mood · Psychiatry · Public health · Salience (neuroscience · Structural equation modeling · The Internet · World Wide Web · Child Development and Digital Technology · Clinical Psychology · Computer Science · Impact of Technology on Adolescents · Media Influence and Health · Medicine · Psychology

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  • A power primer

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Unique citing works30
Citations per year2,14
Citation span2012 - 2025 (14)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 29

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