{"title":"A Study of the Psychometric Properties of the Persian Version of the Online Gambling Symptom Assessment Scale in the Iranian Population.","authors":"Mohammadreza Davoudi, Tayebeh Azarmehr, Fatemeh Abdoli, AmirHossein Sadeghi, Sarah Salehi Inanloo, Fereshte Momeni, Zahra Khalili, Sahar Aliyaki","doi":"10.34172/ahj.2024.1458","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The primary objective of the current paper was to assess the psychometric attributes of the Persian version of the Online Gambling Symptom Assessment Scale (P-OGSAS) within the Iranian population.</p><p><strong>Methods: </strong>The current study was conducted through a convenient sampling method between September and November 2021, involving 187 participants who had experienced online gambling at least once a month for the last 3 months. OGSAS was translated from English into Persian using the forward-backward translation method. Cronbach's alpha coefficient and principal component analysis (PCA) were employed to evaluate the reliability and validity of the scale, respectively. Participants were administered a battery of assessments, including P-OGSAS, Persian Gambling Disorder Screening Questionnaire (GDSQ-P), Patient Health Questionnaire-9 Items (PHQ-9), and Generalized Anxiety Disorder Questionnaire (GADQ-7), to assess validity and reliability.</p><p><strong>Findings: </strong>The results showed that the 3-factor model of this scale provides the highest level of predictability. The 3-factor model accounts for 54.8% of the square load. With a Cronbach's alpha coefficient of 0.807, P-OGSAS demonstrated satisfactory reliability. Finally, OGSAS has a significant correlation with other scales, and as a result, this scale has suitable convergent validity.</p><p><strong>Conclusion: </strong>P-OGSAS can adequately assess the symptoms and severity of online gambling. Therefore, clinicians could use this scale to evaluate the problems related to online gambling in the Iranian population.</p>","PeriodicalId":33943,"journal":{"name":"Addiction and Health","volume":"16 2","pages":"76-82"},"PeriodicalIF":0.0000,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11264477/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Addiction and Health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.34172/ahj.2024.1458","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background: The primary objective of the current paper was to assess the psychometric attributes of the Persian version of the Online Gambling Symptom Assessment Scale (P-OGSAS) within the Iranian population.
Methods: The current study was conducted through a convenient sampling method between September and November 2021, involving 187 participants who had experienced online gambling at least once a month for the last 3 months. OGSAS was translated from English into Persian using the forward-backward translation method. Cronbach's alpha coefficient and principal component analysis (PCA) were employed to evaluate the reliability and validity of the scale, respectively. Participants were administered a battery of assessments, including P-OGSAS, Persian Gambling Disorder Screening Questionnaire (GDSQ-P), Patient Health Questionnaire-9 Items (PHQ-9), and Generalized Anxiety Disorder Questionnaire (GADQ-7), to assess validity and reliability.
Findings: The results showed that the 3-factor model of this scale provides the highest level of predictability. The 3-factor model accounts for 54.8% of the square load. With a Cronbach's alpha coefficient of 0.807, P-OGSAS demonstrated satisfactory reliability. Finally, OGSAS has a significant correlation with other scales, and as a result, this scale has suitable convergent validity.
Conclusion: P-OGSAS can adequately assess the symptoms and severity of online gambling. Therefore, clinicians could use this scale to evaluate the problems related to online gambling in the Iranian population.