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E xcessive internet use in EU Kids Online project

E xcessive internet use in EU Kids Online project. Lukas Blinka Youth on the Net: Find Your Balance, Luxembourg , May 2014. Background. EU Kids Online examines European children’s experience of the internet

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E xcessive internet use in EU Kids Online project

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  1. Excessive internet use in EU Kids Online project Lukas Blinka Youth on the Net: Find Your Balance, Luxembourg, May 2014

  2. Background • EU Kids Online examines European children’s experience of the internet • In particular it focuses onareas that those developing policy and academics have defined as potentially problematic - these are discussed in terms of risks (of harm) • Summaries of these studies are available in a public database – see www.eukidsonline.net • EU Kids Online I conducted a review of over 400 European studies

  3. Classifying risks (exemplars) Note: risks in bold are included in the survey

  4. EU Kids Online II:Surveying ‘Europe’ • Random stratified sample • 1000 9-16 year olds per country • Interviews at home, face-to-face • Self-completion for sensitive questions • Data from child paired with a parent

  5. EU Kids Online II:Surveying ‘Europe’ • Validation via cognitive/pilot testing • National stakeholders consulted • International advisory panel • Directly comparable across countries • Data collection in spring/summer 2010

  6. EU Kids Online II: consortium

  7. EU Kids Online III • 3 year project, 33 members • Collecting and analysing more European studies (continues EU kids Online I) • Analysing the dataset from EU Kids Online II -including comparisons outside the EU (Australia, Brazil, Russia) • Conducting cross-national qualitative studies • AND netchildrengomobile.eu

  8. EU Kids Online II • the first generation who has grown up completely in a digital era • spend more time online compared to adults and use the Internet regularly compared to adults • are engaged more in intensive online applications (SNS, online gaming) • the adolescence is formative for life-styles, misuse of the Internet can be more harmful than in later periods of life • In most Europen countries almost 100% children had used the internet already in 2010

  9. What is excessive internet use? • salience - preoccupation by the internet use (both cognitive and behavioural) • significant mood changes in form of both the euphoria whengetting/being online and withdrawal symptoms when unable to be online • tolerance - spending an increasing amount of time online • intrapersonal and interpersonal conflicts due to the internet use • a lack of success to limit the behaviour – relapse and reinstatement • M. Griffiths (2006) – The components model of addiction

  10. Excessive internet use scale

  11. Excessive internet use scale • Subsample 11-16 yearolds (M = 13.5), N = 18 709 • 4-point response scale Very often- fairly often-not very often-never/almost never • Internal consistency - Cronbach’s alpha= 0.767 • Index as a meanvalueM = 1.48, SD = 0.54

  12. Number of EIU indicators out of 5 – by gender and age

  13. EIU index distribution in per cent

  14. EIU index distribution in per cent

  15. Changes in mean of EIU in selected countries

  16. empirical model Social-Demographics and personalcharacteristics Age; gender; family type; familysocio-economical status Psycho-behavioraldifficulties Self-esteem; self-control; emotionaldifficulties; conductproblmes Media usage Time online; SNS use, online games use; digitalskills, usingsmartphones Excessive Internet use

  17. power of predictors in EU countries Beta >0.3 high relation, Beta = 0.2 to 0.3 middle relation,Beta = 0.09 to 0.2 low relation, empty cell = not significant value

  18. Time online and EIU • Time spent online and EIU are correlated = .320, p < .01 • When controlled for other variables, Beta = .123, p < .01 • High time spent online is related to EIU, but they are not synonymous! • EIU covers quality of internet usage rather than mere quantity

  19. Who are the „addicts“? • Problematic to establish clear cut off points • Theoretical vs statistical approach • Groupingbased on std. dev. technique – 3 groupscreated • Normalusers– meandistribution up to twostd.dev. 94.2% (N = 17.378) • At risk – more than 2 std. dev. from sample mean4.4% (N = 820) • Excessiveusers – more than 3 std. dev. from sample mean1.4% (N = 253)

  20. Compared to „normal“, the „at risks“ and „excessive users“: • Have more emotional difficulties • Have more self-control and attentional difficulties • Have more frequent conduct problems • Their parents are using the internet slightly less • At risks: • Have more online activities and higher digital literacy • Spend slightly more time online • Excessive users: • Play computer games very frequently • No effect in variables like gender, age, family type, frequent useof FaceBook, smartphone use

  21. Compared to „abusive“, the „addicted“ are: • Playing more online games and spending time in virtual worlds • Have more self-control and attentional difficulties

  22. THANK YOU! For more info: Lukasblinka@gmail.com&Eukudsonline.net

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