Psychometric Testing of Three Chinese Online-Related Addictive Behavior Instruments among Hong Kong University Students

Psychiatr Q. 2019 Mar;90(1):117-128. doi: 10.1007/s11126-018-9610-7.

Abstract

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.

Keywords: Addiction psychometrics; Gaming addiction; Online addiction; Smartphone addiction; Social media addiction.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Behavior, Addictive / diagnosis*
  • Behavior, Addictive / epidemiology
  • Hong Kong / epidemiology
  • Humans
  • Internet* / statistics & numerical data
  • Psychiatric Status Rating Scales / standards*
  • Psychometrics / instrumentation
  • Psychometrics / standards*
  • Smartphone* / statistics & numerical data
  • Social Media* / statistics & numerical data
  • Students* / statistics & numerical data
  • Universities / statistics & numerical data
  • Video Games* / statistics & numerical data
  • Young Adult