TY - JOUR
T1 - Smartphone Application-Based Addiction Among Iranian Adolescents
T2 - A Psychometric Study
AU - Lin, Chung Ying
AU - Imani, Vida
AU - Broström, Anders
AU - Nilsen, Per
AU - Fung, Xavier C.C.
AU - Griffiths, Mark D.
AU - Pakpour, Amir H.
N1 - Publisher Copyright:
© 2018, Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2019/8/15
Y1 - 2019/8/15
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85056728399&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85056728399&partnerID=8YFLogxK
U2 - 10.1007/s11469-018-0026-2
DO - 10.1007/s11469-018-0026-2
M3 - Article
AN - SCOPUS:85056728399
SN - 1557-1874
VL - 17
SP - 765
EP - 780
JO - International Journal of Mental Health and Addiction
JF - International Journal of Mental Health and Addiction
IS - 4
ER -