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Smartphone application-based addiction scale: psychometric evidence across nine Asian regions using advanced analytic methods

Introduction: A smartphone is a device with various functions, including wifi, application functions, mobile networks, ease of mobility, and the capability of using mobile data. Because of the aforementioned functions, people may use smartphones frequently. The Smartphone Application-Based Addiction...

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Main Authors: Chen, I-Hua, Pramukti, Iqbal, Gan, Wan Ying, Ruckwongpatr, Kamolthip, Pham, Le An, Huang, Po-Ching, Mamun, Mohammed A., Ullah, Irfan, Jahrami, Haitham A., Lin, Chung-Ying, Pakpour, Amir H.
Format: Article
Language:English
Published: John Wiley and Sons 2024
Online Access:http://psasir.upm.edu.my/id/eprint/114496/1/114496.pdf
http://psasir.upm.edu.my/id/eprint/114496/
https://onlinelibrary.wiley.com/doi/10.1002/brb3.70133
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spelling my.upm.eprints.1144962025-01-16T04:16:18Z http://psasir.upm.edu.my/id/eprint/114496/ Smartphone application-based addiction scale: psychometric evidence across nine Asian regions using advanced analytic methods Chen, I-Hua Pramukti, Iqbal Gan, Wan Ying Ruckwongpatr, Kamolthip Pham, Le An Huang, Po-Ching Mamun, Mohammed A. Ullah, Irfan Jahrami, Haitham A. Lin, Chung-Ying Pakpour, Amir H. Introduction: A smartphone is a device with various functions, including wifi, application functions, mobile networks, ease of mobility, and the capability of using mobile data. Because of the aforementioned functions, people may use smartphones frequently. The Smartphone Application-Based Addiction Scale (SABAS) is a six-item questionnaire assessing smartphone addiction with promising psychometric properties. However, it is unclear if the SABAS possesses the strong psychometric properties across Asian regions. The present study aimed to examine the factor structure of the SABAS across nine Asian regions. Methods: Using datasets collected from Asian regions of Bangladesh, China, Indonesia, Iran, Malaysia, Pakistan, Taiwan, Thailand, and Vietnam, data from 10,397 participants (mean age = 22.40 years; 44.8% men) were used for analyses. All participants completed the SABAS using an online survey or paper-and-pencil mode. Results: Findings from confirmatory factor analysis, Rasch analysis, and network analysis all indicate a one-factor structure for the SABAS. Moreover, the one-factor structure of the SABAS was measurement invariant across age (21 years or less vs. above 21 years) and gender (men vs. women) in metric, scalar, and strict invariance. The one-factor structure was invariant across regions in metric but not scalar or strict invariance. Conclusion: The present study findings showed that the SABAS possesses a one-factor structure across nine Asian regions; however, noninvariant findings in scalar and strict levels indicate that people in the nine Asian regions may interpret the importance of each SABAS item differently. Age group and gender group comparisons are comparable because of the invariance evidence for the SABAS found in the present study. However, cautions should be made when comparing SABAS scores across Asian regions. John Wiley and Sons 2024-11-17 Article PeerReviewed text en cc_by_4 http://psasir.upm.edu.my/id/eprint/114496/1/114496.pdf Chen, I-Hua and Pramukti, Iqbal and Gan, Wan Ying and Ruckwongpatr, Kamolthip and Pham, Le An and Huang, Po-Ching and Mamun, Mohammed A. and Ullah, Irfan and Jahrami, Haitham A. and Lin, Chung-Ying and Pakpour, Amir H. (2024) Smartphone application-based addiction scale: psychometric evidence across nine Asian regions using advanced analytic methods. Brain and Behavior, 14 (11). art. no. e70133. ISSN 2162-3279; eISSN: 2162-3279 https://onlinelibrary.wiley.com/doi/10.1002/brb3.70133 10.1002/brb3.70133
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Introduction: A smartphone is a device with various functions, including wifi, application functions, mobile networks, ease of mobility, and the capability of using mobile data. Because of the aforementioned functions, people may use smartphones frequently. The Smartphone Application-Based Addiction Scale (SABAS) is a six-item questionnaire assessing smartphone addiction with promising psychometric properties. However, it is unclear if the SABAS possesses the strong psychometric properties across Asian regions. The present study aimed to examine the factor structure of the SABAS across nine Asian regions. Methods: Using datasets collected from Asian regions of Bangladesh, China, Indonesia, Iran, Malaysia, Pakistan, Taiwan, Thailand, and Vietnam, data from 10,397 participants (mean age = 22.40 years; 44.8% men) were used for analyses. All participants completed the SABAS using an online survey or paper-and-pencil mode. Results: Findings from confirmatory factor analysis, Rasch analysis, and network analysis all indicate a one-factor structure for the SABAS. Moreover, the one-factor structure of the SABAS was measurement invariant across age (21 years or less vs. above 21 years) and gender (men vs. women) in metric, scalar, and strict invariance. The one-factor structure was invariant across regions in metric but not scalar or strict invariance. Conclusion: The present study findings showed that the SABAS possesses a one-factor structure across nine Asian regions; however, noninvariant findings in scalar and strict levels indicate that people in the nine Asian regions may interpret the importance of each SABAS item differently. Age group and gender group comparisons are comparable because of the invariance evidence for the SABAS found in the present study. However, cautions should be made when comparing SABAS scores across Asian regions.
format Article
author Chen, I-Hua
Pramukti, Iqbal
Gan, Wan Ying
Ruckwongpatr, Kamolthip
Pham, Le An
Huang, Po-Ching
Mamun, Mohammed A.
Ullah, Irfan
Jahrami, Haitham A.
Lin, Chung-Ying
Pakpour, Amir H.
spellingShingle Chen, I-Hua
Pramukti, Iqbal
Gan, Wan Ying
Ruckwongpatr, Kamolthip
Pham, Le An
Huang, Po-Ching
Mamun, Mohammed A.
Ullah, Irfan
Jahrami, Haitham A.
Lin, Chung-Ying
Pakpour, Amir H.
Smartphone application-based addiction scale: psychometric evidence across nine Asian regions using advanced analytic methods
author_facet Chen, I-Hua
Pramukti, Iqbal
Gan, Wan Ying
Ruckwongpatr, Kamolthip
Pham, Le An
Huang, Po-Ching
Mamun, Mohammed A.
Ullah, Irfan
Jahrami, Haitham A.
Lin, Chung-Ying
Pakpour, Amir H.
author_sort Chen, I-Hua
title Smartphone application-based addiction scale: psychometric evidence across nine Asian regions using advanced analytic methods
title_short Smartphone application-based addiction scale: psychometric evidence across nine Asian regions using advanced analytic methods
title_full Smartphone application-based addiction scale: psychometric evidence across nine Asian regions using advanced analytic methods
title_fullStr Smartphone application-based addiction scale: psychometric evidence across nine Asian regions using advanced analytic methods
title_full_unstemmed Smartphone application-based addiction scale: psychometric evidence across nine Asian regions using advanced analytic methods
title_sort smartphone application-based addiction scale: psychometric evidence across nine asian regions using advanced analytic methods
publisher John Wiley and Sons
publishDate 2024
url http://psasir.upm.edu.my/id/eprint/114496/1/114496.pdf
http://psasir.upm.edu.my/id/eprint/114496/
https://onlinelibrary.wiley.com/doi/10.1002/brb3.70133
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score 13.244413

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