Development and Validation of Videogame Addiction Scale for Children (Vasc)

Datos Bibliográficos

ID15440216
AutoresEyüp Yılmaz (0000-0002-0336-1747, Nottingham Trent University, autor de correspondencia), Mark D Griffiths (0000-0001-8880-6524, Nottingham Trent University, autor de correspondencia), Adnan Kan (0000-0002-3610-0033, Gazi University)
Año2017
Volumen15
Número4
Páginas869-882
Fecha de publicación2017-05-15
Open AccessSí
TipoARTICLE
RevistaInternational Journal of Mental Health and Addiction (JOURNAL)
Identificadores de la revistaISSN: 1557-1874 • E-ISSN: 1557-1882
EditorialSpringer Science+Business Media (PUBLISHER • DE)
DOI10.1007/s11469-017-9766-7
PMID28798554
OpenAlexW2615382500
IdiomaEN
Citas recibidas13
Referencias citadas28

The aim of the present study was to develop a valid and reliable Videogame Addiction Scale for Children (VASC). The data were derived from 780 children who completed the Videogame Addiction Scale (405 girls and 375 boys; 48.1% ranging in age from 9 to 12 years). The sample was randomly split into two different sub-samples (sample 1, n = 400; sample 2, n = 380). Sample 1 was used to perform exploratory factor analysis (EFA) to define the factorial structure of VASC. As a result of EFA, a four-factor structure comprising 21 items was obtained and explained 55% of the total variance (the four factors being "self-control," "reward/reinforcement," "problems," and "involvement"). The internal consistency reliability of VASC has found 0.89. Confirmatory factor analysis (CFA) was performed to confirm the factorial structure obtained by EFA in the remaining half of sample ( n = 390). The obtained fit indices from the CFA confirmed the structure of the EFA. The 21-item VASC has good psychometric properties that can be used among Turkish schoolchildren populations

Addiction · Confirmatory factor analysis · Exploratory factor analysis · Health psychology · Psychiatry · Psychometrics · Public health · Sample (material · Scale (ratio · Statistics · Structural equation modeling · Turkish · Child Development and Digital Technology · Clinical Psychology · Impact of Technology on Adolescents · Mathematics · Medicine · Motivation and Self-Concept in Sports · Psychology

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