Psychometric Evaluation of the Problem Gambling Severity Index-Chinese Version (PGSI-C)

The purpose of this study was to examine the psychometric properties of the Chinese 9-item Problem Gambling Severity Index (PGSI) derived from the 31-item Canadian Problem Gambling Index (CPGI) originally developed by Ferris and Wynne ( 2001 ). Exploratory factor analysis (EFA; n  = 386; Group A dat...

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Bibliographic Details
Published in:Journal of gambling studies 2011-09, Vol.27 (3), p.453-466
Main Authors: Loo, Jasmine M. Y., Oei, Tian P. S., Raylu, Namrata
Format: Article
Language:English
Subjects:
Addictive behaviors
Adult
Anxiety-Depression
Asian Continental Ancestry Group - statistics & numerical data
Attitude to Health - ethnology
Australia
Behavior, Addictive - classification
Behavior, Addictive - diagnosis
Behavior, Addictive - ethnology
Chinese communities
Community and Environmental Psychology
Economics
Female
Gambling
Gambling - classification
Gambling - diagnosis
Gambling - ethnology
Gambling - psychology
Gaming machines
Humans
Indexes
Internal-External Control
Medicine
Medicine & Public Health
Middle Aged
Original Paper
Pathological gambling
Population
Psychiatry
Psychological aspects
Psychometric properties
Quantitative psychology
Reproducibility of Results
Self Concept
Severity
Severity of Illness Index
Social networks
Sociology
Studies
Surveys and Questionnaires - standards
Validity
Young Adult
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Summary:The purpose of this study was to examine the psychometric properties of the Chinese 9-item Problem Gambling Severity Index (PGSI) derived from the 31-item Canadian Problem Gambling Index (CPGI) originally developed by Ferris and Wynne ( 2001 ). Exploratory factor analysis (EFA; n  = 386; Group A data) and confirmatory factor analysis (CFA; n  = 387; Group B data) on the Chinese student and community data (Mean age = 25.36 years) showed that a unifactorial model fitted the data with good reliability score (Cronbach’s alpha = 0.77). The concurrent validity of the PGSI-C was good in terms of the Chinese data matching the expected correlation between PGSI-C and other variables or scales such as SOGS, gambling frequency, gambling urge, gambling cognitions, depression, anxiety, and stress. The scale also reported good discriminant and predictive validity. In sum, the PGSI-C has good psychometric properties and can be used among Chinese communities to identify at-risk problem gamblers. Implications and suggestions for future research are discussed.
ISSN:1573-3602
1050-5350
1573-3602
DOI:10.1007/s10899-010-9221-1