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Development and Validation of a Smartphone Addiction Scale (SAS)

OBJECTIVE: The aim of this study was to develop a self-diagnostic scale that could distinguish smartphone addicts based on the Korean self-diagnostic program for Internet addiction (K-scale) and the smartphone's own features. In addition, the reliability and validity of the smartphone addiction...

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Autores principales: Kwon, Min, Lee, Joon-Yeop, Won, Wang-Youn, Park, Jae-Woo, Min, Jung-Ah, Hahn, Changtae, Gu, Xinyu, Choi, Ji-Hye, Kim, Dai-Jin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3584150/
https://www.ncbi.nlm.nih.gov/pubmed/23468893
http://dx.doi.org/10.1371/journal.pone.0056936
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author Kwon, Min
Lee, Joon-Yeop
Won, Wang-Youn
Park, Jae-Woo
Min, Jung-Ah
Hahn, Changtae
Gu, Xinyu
Choi, Ji-Hye
Kim, Dai-Jin
author_facet Kwon, Min
Lee, Joon-Yeop
Won, Wang-Youn
Park, Jae-Woo
Min, Jung-Ah
Hahn, Changtae
Gu, Xinyu
Choi, Ji-Hye
Kim, Dai-Jin
author_sort Kwon, Min
collection PubMed
description OBJECTIVE: The aim of this study was to develop a self-diagnostic scale that could distinguish smartphone addicts based on the Korean self-diagnostic program for Internet addiction (K-scale) and the smartphone's own features. In addition, the reliability and validity of the smartphone addiction scale (SAS) was demonstrated. METHODS: A total of 197 participants were selected from Nov. 2011 to Jan. 2012 to accomplish a set of questionnaires, including SAS, K-scale, modified Kimberly Young Internet addiction test (Y-scale), visual analogue scale (VAS), and substance dependence and abuse diagnosis of DSM-IV. There were 64 males and 133 females, with ages ranging from 18 to 53 years (M = 26.06; SD = 5.96). Factor analysis, internal-consistency test, t-test, ANOVA, and correlation analysis were conducted to verify the reliability and validity of SAS. RESULTS: Based on the factor analysis results, the subscale “disturbance of reality testing” was removed, and six factors were left. The internal consistency and concurrent validity of SAS were verified (Cronbach's alpha = 0.967). SAS and its subscales were significantly correlated with K-scale and Y-scale. The VAS of each factor also showed a significant correlation with each subscale. In addition, differences were found in the job (p<0.05), education (p<0.05), and self-reported smartphone addiction scores (p<0.001) in SAS. CONCLUSIONS: This study developed the first scale of the smartphone addiction aspect of the diagnostic manual. This scale was proven to be relatively reliable and valid.
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spelling pubmed-35841502013-03-06 Development and Validation of a Smartphone Addiction Scale (SAS) Kwon, Min Lee, Joon-Yeop Won, Wang-Youn Park, Jae-Woo Min, Jung-Ah Hahn, Changtae Gu, Xinyu Choi, Ji-Hye Kim, Dai-Jin PLoS One Research Article OBJECTIVE: The aim of this study was to develop a self-diagnostic scale that could distinguish smartphone addicts based on the Korean self-diagnostic program for Internet addiction (K-scale) and the smartphone's own features. In addition, the reliability and validity of the smartphone addiction scale (SAS) was demonstrated. METHODS: A total of 197 participants were selected from Nov. 2011 to Jan. 2012 to accomplish a set of questionnaires, including SAS, K-scale, modified Kimberly Young Internet addiction test (Y-scale), visual analogue scale (VAS), and substance dependence and abuse diagnosis of DSM-IV. There were 64 males and 133 females, with ages ranging from 18 to 53 years (M = 26.06; SD = 5.96). Factor analysis, internal-consistency test, t-test, ANOVA, and correlation analysis were conducted to verify the reliability and validity of SAS. RESULTS: Based on the factor analysis results, the subscale “disturbance of reality testing” was removed, and six factors were left. The internal consistency and concurrent validity of SAS were verified (Cronbach's alpha = 0.967). SAS and its subscales were significantly correlated with K-scale and Y-scale. The VAS of each factor also showed a significant correlation with each subscale. In addition, differences were found in the job (p<0.05), education (p<0.05), and self-reported smartphone addiction scores (p<0.001) in SAS. CONCLUSIONS: This study developed the first scale of the smartphone addiction aspect of the diagnostic manual. This scale was proven to be relatively reliable and valid. Public Library of Science 2013-02-27 /pmc/articles/PMC3584150/ /pubmed/23468893 http://dx.doi.org/10.1371/journal.pone.0056936 Text en © 2013 Kwon et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Kwon, Min
Lee, Joon-Yeop
Won, Wang-Youn
Park, Jae-Woo
Min, Jung-Ah
Hahn, Changtae
Gu, Xinyu
Choi, Ji-Hye
Kim, Dai-Jin
Development and Validation of a Smartphone Addiction Scale (SAS)
title Development and Validation of a Smartphone Addiction Scale (SAS)
title_full Development and Validation of a Smartphone Addiction Scale (SAS)
title_fullStr Development and Validation of a Smartphone Addiction Scale (SAS)
title_full_unstemmed Development and Validation of a Smartphone Addiction Scale (SAS)
title_short Development and Validation of a Smartphone Addiction Scale (SAS)
title_sort development and validation of a smartphone addiction scale (sas)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3584150/
https://www.ncbi.nlm.nih.gov/pubmed/23468893
http://dx.doi.org/10.1371/journal.pone.0056936
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