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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao CyberPsychology & Be...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
CyberPsychology & Behavior
Article . 2008 . Peer-reviewed
License: Mary Ann Liebert TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
DBLP
Article . 2008
Data sources: DBLP
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Predictors of Problematic Internet Use on Turkish University Students

Authors: Ceyhan, Aydoğan Aykut;

Predictors of Problematic Internet Use on Turkish University Students

Abstract

The current study set out to examine the relationships between the levels of problematic Internet use and gender, having any addiction problems, the level of psychological symptoms, and some online experiences related to the Internet use of university students. Data was gathered from 437 university students. The results indicated that factors such as gender, level of psychological symptoms, connecting to the Internet most often at night, and using the Internet primarily to communicate with their relatives and friends and to have a good time predicted significantly the level of the problematic Internet use of the students. Moreover, the predictors differentiated in terms of the domains of the problematic Internet use.

Country
Turkey
Related Organizations
Keywords

Adult, Cross-Cultural Comparison, Male, Internet, Motivation, Adolescent, Personality Inventory, Psychometrics, Turkey, Attitude to Computers, Communication, Reproducibility of Results, Behavior, Addictive, Cross-Sectional Studies, Sex Factors, Risk Factors, Humans, Female, Students

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    82
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
82
Top 10%
Top 10%
Top 10%
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