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Factor structure of the Gambling Symptom Assessment Scale among treatment-seeking adults in Singapore

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  • Hui Shan Rebecca Ong
  • Chao-Xu Peh
  • P.V. Asharani
  • Song Guo

Abstract

The revised 12-item Gambling Symptom Assessment Scale (G-SAS) is a measure designed to assess gambling symptom severity. However, its factor structure has not been examined. The present study investigates the factor structure of the G-SAS based on a treatment-seeking population in Singapore. Participants were 521 patients presenting with problem gambling at a tertiary psychiatric hospital. Patients completed the G-SAS, gambling-related measures and the Personal Wellbeing Index (PWI), and were assessed by a psychiatrist for pathological gambling (PG) based on DSM-IV-TR criteria. Exploratory factor analysis resulted in a two-factor solution, with factors indicating (1) gambling impulse and (2) adverse consequences. Together, both factors explained for 77.10% of variance in G-SAS scores. The two-factor model was subsequently confirmed based on confirmatory factor analysis. Additionally, G-SAS scores were associated with multiple gambling-related indicators and discriminated between patients with and without a diagnosis of PG. Findings from the study suggest that the G-SAS consists of two factors, and is a reliable and valid tool for the assessment of gambling symptom severity in clinical settings.

Suggested Citation

  • Hui Shan Rebecca Ong & Chao-Xu Peh & P.V. Asharani & Song Guo, 2016. "Factor structure of the Gambling Symptom Assessment Scale among treatment-seeking adults in Singapore," International Gambling Studies, Taylor & Francis Journals, vol. 16(3), pages 442-454, September.
  • Handle: RePEc:taf:intgms:v:16:y:2016:i:3:p:442-454
    DOI: 10.1080/14459795.2016.1223149
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    References listed on IDEAS

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    1. Anna Lau & Robert Cummins & Wenda Mcpherson, 2005. "An Investigation into the Cross-Cultural Equivalence of the Personal Wellbeing Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 72(3), pages 403-430, July.
    2. Michael W. Browne & Robert Cudeck, 1992. "Alternative Ways of Assessing Model Fit," Sociological Methods & Research, , vol. 21(2), pages 230-258, November.
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