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Development and validation study of Game Overuse Screening Questionnaire

  • In Chul Baek
  • , Ji Hae Kim
  • , Yoo Sook Joung
  • , Hae Woo Lee
  • , Subin Park
  • , Eun Jin Park
  • , Seok Jin Ju
  • , Dong Jun Kim
  • , Hong Jin Jeon
  • Sungkyunkwan University
  • National Center for Mental Health
  • Inje University
  • Kosin University

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

The aim of this study was to develop a screening questionnaire to distinguish high-risk individuals associated with game overuse from casual internet users. Reliability, validity, and diagnostic ability were evaluated for the newly developed Game Overuse Screening Questionnaire (GOS-Q). Preliminary items were assessed by 50 addiction experts online and 30 questions were selected. A total of 158 subjects recruited from six community centers for internet addiction participated in this study. Finally, 150 people were used in the analysis after excluding eight non-respondents. GOS-Q, Young's internet addiction scale, and Korean scale for internet addiction were used to assess concurrent validity. Internal consistency and item-total correlations were favorable (α= 0.96, r= 0.47-0.82). Test-retest reliability was moderate in size (r= 0.74). GOS-Q showed superior concurrent validity, and the highest correlation with Y-Scale (r= 0.77). The construct validity was marginally supported by a six-factor model using exploratory factor analysis. The area under the Receiver Operating Characteristic curve was 0.945. The high-risk addiction group was effectively characterized by a cut-off point of 38.5, with a sensitivity of 0.87 and a specificity of 0.88. Overall, the current study supports the use of GOS-Q as a reliable screening tool in a variety of settings.

Original languageEnglish
Article number113165
JournalPsychiatry Research
Volume290
DOIs
StatePublished - Aug 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Addiction
  • Cut-off
  • Diagnosis
  • Psychometrics
  • Screening

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