Objectives:Problematic use of the internet(PUI)has been increasingly associated with various mental health issues,highlighting the need for accurate assessment tools.The Assessment of Criteria for Specific Internet-us...Objectives:Problematic use of the internet(PUI)has been increasingly associated with various mental health issues,highlighting the need for accurate assessment tools.The Assessment of Criteria for Specific Internet-use Disorder(ACSID-11)is a validated psychometric instrument designed to measure distinct forms of PUI across multiple online activities.However,its applicability and validity have not yet been established within the Indonesian context.Therefore,this study aimed to translate and validate the ACSID-11 for use among Indonesian populations.Methods:The translation procedure of the ACSID-11 involved forward translation,back translation,and expert panel discussions.This research involved 600 undergraduate and post-graduate students from universities in Indonesia(mean[SD]age=21.60[2.74]years;409[68%]females).Cronbach’s Alpha(α)and McDonald’s Omega(ω)were used to measure the internal consistency of the ACSID-11.Confirmatory factor analysis(CFA)was used in testing the construct validity of the ACSID-11.Results:The ACSID-11 demonstrated validity and reliability in assessing different types of PUI in the present Indonesian sample(α=0.67–0.96;ω=0.68–0.96).The CFA results supported a four-factor structure for the Indonesian version of the ACSID-11.Conclusion:The findings suggest that the Indonesian version of the ACSID-11 is a valid and reliable tool for assessing specific forms of PUI among Indonesian students.Future research and clinical applications are encouraged to utilize the ACSID-11 for early identification,intervention,and prevention strategies targeting PUI within this population.展开更多
Background:In recent years,there has been increased research interest in both smartphone addiction and social media addiction as well as the development of psychometric instruments to assess these constructs.However,t...Background:In recent years,there has been increased research interest in both smartphone addiction and social media addiction as well as the development of psychometric instruments to assess these constructs.However,there is a lack of psychometric evaluation for instruments assessing smartphone addiction and social media addiction in Thailand.The present study evaluated the psychometric properties and gender measurement invariance of the Thai version of the Smartphone Application-Based Addiction Scale(SABAS)and Bergen Social Media Addiction Scale(BSMAS).Method:A total of 801 Thai university students participated in an online survey from January 2022 to July 2022 which included demographic information,SABAS,BSMAS,and the Internet Gaming Disorder Scale-Short Form(IGDS9-SF).Results:Confirmatory Factor Analyses(CFAs)found that both the SABAS and BSMAS had a one-factor structure.Findings demonstrated adequate psychometric properties of both instruments and also supported measurement invariance across genders.Moreover,scores on the SABAS and BSMAS were correlated with scores on the IGDS9-SF.Conclusion:The results indicated that the SABAS and BSMAS are useful psychometric instruments for assessing the risk of smartphone addiction and social media addiction among Thai young adults.展开更多
基金support from Universitas Airlangga,in part by Higher Education Sprout Project,Ministry of Education to the Headquarters of University Advancement at National Cheng Kung University(NCKU),and by the National Science and Technology Council,Taiwan(NSTC 112-2410-H-006-089-SS2).
文摘Objectives:Problematic use of the internet(PUI)has been increasingly associated with various mental health issues,highlighting the need for accurate assessment tools.The Assessment of Criteria for Specific Internet-use Disorder(ACSID-11)is a validated psychometric instrument designed to measure distinct forms of PUI across multiple online activities.However,its applicability and validity have not yet been established within the Indonesian context.Therefore,this study aimed to translate and validate the ACSID-11 for use among Indonesian populations.Methods:The translation procedure of the ACSID-11 involved forward translation,back translation,and expert panel discussions.This research involved 600 undergraduate and post-graduate students from universities in Indonesia(mean[SD]age=21.60[2.74]years;409[68%]females).Cronbach’s Alpha(α)and McDonald’s Omega(ω)were used to measure the internal consistency of the ACSID-11.Confirmatory factor analysis(CFA)was used in testing the construct validity of the ACSID-11.Results:The ACSID-11 demonstrated validity and reliability in assessing different types of PUI in the present Indonesian sample(α=0.67–0.96;ω=0.68–0.96).The CFA results supported a four-factor structure for the Indonesian version of the ACSID-11.Conclusion:The findings suggest that the Indonesian version of the ACSID-11 is a valid and reliable tool for assessing specific forms of PUI among Indonesian students.Future research and clinical applications are encouraged to utilize the ACSID-11 for early identification,intervention,and prevention strategies targeting PUI within this population.
基金This research was funded by the Ministry of Science and Technology,Taiwan(MOST 110-2410-H-006-115)the Higher Education Sprout Project,Ministry of Education to the Headquarters of University Advancement at National Cheng Kung University(NCKU)the 2021 Southeast and South Asia and Taiwan Universities Joint Research Scheme(NCKU 31),and the E-Da Hospital(EDAHC111004).
文摘Background:In recent years,there has been increased research interest in both smartphone addiction and social media addiction as well as the development of psychometric instruments to assess these constructs.However,there is a lack of psychometric evaluation for instruments assessing smartphone addiction and social media addiction in Thailand.The present study evaluated the psychometric properties and gender measurement invariance of the Thai version of the Smartphone Application-Based Addiction Scale(SABAS)and Bergen Social Media Addiction Scale(BSMAS).Method:A total of 801 Thai university students participated in an online survey from January 2022 to July 2022 which included demographic information,SABAS,BSMAS,and the Internet Gaming Disorder Scale-Short Form(IGDS9-SF).Results:Confirmatory Factor Analyses(CFAs)found that both the SABAS and BSMAS had a one-factor structure.Findings demonstrated adequate psychometric properties of both instruments and also supported measurement invariance across genders.Moreover,scores on the SABAS and BSMAS were correlated with scores on the IGDS9-SF.Conclusion:The results indicated that the SABAS and BSMAS are useful psychometric instruments for assessing the risk of smartphone addiction and social media addiction among Thai young adults.
