Psychometric Testing of Three Chinese Online-Related Addictive Behavior Instruments among Hong Kong University Students.
Adolescent
Adult
Behavior, Addictive
/ diagnosis
Hong Kong
/ epidemiology
Humans
Internet
/ statistics & numerical data
Psychiatric Status Rating Scales
/ standards
Psychometrics
/ instrumentation
Smartphone
/ statistics & numerical data
Social Media
/ statistics & numerical data
Students
/ statistics & numerical data
Universities
/ statistics & numerical data
Video Games
/ statistics & numerical data
Young Adult
Addiction psychometrics
Gaming addiction
Online addiction
Smartphone addiction
Social media addiction
Journal
The Psychiatric quarterly
ISSN: 1573-6709
Titre abrégé: Psychiatr Q
Pays: United States
ID NLM: 0376465
Informations de publication
Date de publication:
03 2019
03 2019
Historique:
pubmed:
18
10
2018
medline:
11
5
2019
entrez:
18
10
2018
Statut:
ppublish
Résumé
Given that there is a lack of instruments assessing internet-related addictions among Chinese population, this study aimed to validate the Chinese version of the nine-item Internet Gaming Disorder Scales- Short Form (IGDS-SF9), Bergen Social Media Addiction Scale (BSMAS), and Smartphone Application-Based Addiction Scale (SABAS) among Hong Kong university students. Participants aged between 17 and 30 years participated in the present study (n = 307; 32.4% males; mean [SD] age = 21.64 [8.11]). All the participants completed the IGDS-SF9, BSMAS, SABAS, and the Hospital Anxiety and Depression Scale (HADS). Confirmatory factor analyses (CFAs) were used to examine the factorial structures and the unidimensionality for IGDS-SF9, BSMAS, and SABAS. CFAs demonstrated that the three scales were all unidimensional with satisfactory fit indices: comparative fit index = 0.969 to 0.992. In addition, the IGDS-SF9 and BSMAS were slightly modified based on the modification index in CFA. The Chinese IGDS-SF9, BSMAS, and SABAS are valid instruments to assess the addiction levels of internet-related activities for Hong Kong university students.
Identifiants
pubmed: 30328020
doi: 10.1007/s11126-018-9610-7
pii: 10.1007/s11126-018-9610-7
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
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