Abstract
The Smartphone Application-Based Addiction Scale (SABAS) can be used in screening for the risk of smartphone addiction. This study aimed to validate a Persian version of the SABAS using confirmatory factor analysis (CFA), Rasch analysis, and latent class analysis (LCA). In a sample of 3807 Iranian adolescents, CFAs were used to confirm the factor structure of SABAS, Rasch models were used to examine the unidimensionality of SABAS, and LCAs were used to classify the adolescents in terms of application preferences and smartphone application-based addiction. The unidimensional structure of SABAS was supported by CFA and Rasch model. LCA classified the sample into three subgroups (i.e., low, medium, high) in terms of risk of smartphone addiction. This study showed the unidimensionality of the Persian SABAS with robust psychometric properties. It can be used by healthcare providers in screening for risk of addiction to smartphone applications and provide early intervention if necessary.
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AHP and VI created and organized the study and collected the data. C-YL wrote the first draft; AHP analyzed and interpreted the data; MDG supervised the entire study. AB, XCCF, and MDG critically reviewed the manuscript and provided constructive comments. All authors had full access to all data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. All authors contributed to and have approved the final version of the manuscript.
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Lin, CY., Imani, V., Broström, A. et al. Smartphone Application-Based Addiction Among Iranian Adolescents: A Psychometric Study. Int J Ment Health Addiction 17, 765–780 (2019). https://doi.org/10.1007/s11469-018-0026-2
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DOI: https://doi.org/10.1007/s11469-018-0026-2