Document Detail


Involvement in internet aggression during early adolescence.
MedLine Citation:
PMID:  20422350     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The current study examined concurrent and longitudinal predictors of early adolescents' involvement in Internet aggression. Cross-sectional results (N = 330; 57% female) showed that the likelihood of reporting Internet aggression was higher among youth who spent more time using Internet-based technologies to communicate with friends and who were themselves targets of Internet aggression. Offline relational aggression and beliefs supportive of relational and physical aggression also predicted concurrent involvement in Internet aggression. We used longitudinal data (N = 150; 51% female) to distinguish between youth who were aggressive in traditional contexts only (i.e., school) from those who were aggressive both online and offline. These results indicated that youth who were aggressive both online and offline were older at the initial assessment, were targets of Internet aggression, and held beliefs more supportive of relational aggression than youth who were aggressive offline only. Implications and directions for future research are discussed.
Authors:
Nicole E Werner; Matthew F Bumpus; Daquarii Rock
Publication Detail:
Type:  Journal Article     Date:  2009-06-04
Journal Detail:
Title:  Journal of youth and adolescence     Volume:  39     ISSN:  1573-6601     ISO Abbreviation:  J Youth Adolesc     Publication Date:  2010 Jun 
Date Detail:
Created Date:  2010-04-27     Completed Date:  2010-07-15     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0333507     Medline TA:  J Youth Adolesc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  607-19     Citation Subset:  IM    
Affiliation:
Washington State University, 501 Johnson Tower, Pullman, WA 99164-4852, USA. nwerner@wsu.edu
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MeSH Terms
Descriptor/Qualifier:
Adolescent
Adolescent Behavior*
Aggression*
Communication
Crime Victims
Factor Analysis, Statistical
Female
Humans
Internet*
Interpersonal Relations
Logistic Models
Male
Urban Population

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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