Validation of the Smartphone Addiction Scale-Short Version (SAS-SV) for Measuring Problematic Smartphone Use in Indonesian Adolescents

In recent years, research has highlighted that excessive smartphone use in adolescents can potentially lead to problematic smartphone use (PSU) and negatively impact their daily lives. Hence, more precise measurement methods are necessary, particularly in the Indonesian context. The purpose of this study was to validate the Smartphone Addiction Scale-Short Version (SAS-SV) among Indonesian adolescents. This study included 410 adolescents aged 12 to 18 from Medan, with a mean age M=15.39; SD=1.396 including 245 females and 165 males. The data analysis approach used first-order confirmatory factor analysis (CFA) with correlation factors. The results demonstrate an acceptable model fit for a single-factor structure, with the index criteria value X2 = 151.500 df = 35, p < 0,001, the Standardized Root Mean Square Residual (SRMR)=0.052, Root Mean Squared Error of Approximation (RMSEA)=0.090, Goodness of Fit Index (GFI)=0.986, Tucker-Lewis index (TLI)=0.862, and Comparative Fit Index (CFI)=0.893. Then, the internal consistency reliability coefficient shows good reliability with coefficient values Cronbach’s Alpha of 0.820 and McDonald’s Omega of 0.811, and a composite reliability of 0.824. It shows that using the SAS-SV is feasible and has a reliable scale to measure problematic smartphone use in Indonesian adolescents. Future research should explore the dynamics of problematic smartphone use across diverse regions in Indonesia to gain better understanding of the phenomenon within distinct cultural contexts.

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Publication Details

Journal
KnE Social Sciences
Published
2025-04-18
DOI
https://doi.org/10.18502/kss.v10i9.18498
Primary Topic
Impact of Technology on Adolescents
Type
article
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article

Validation of the Smartphone Addiction Scale-Short Version (SAS-SV) for Measuring Problematic Smartphone Use in Indonesian Adolescents

Liza Marini, Wiwin Hendriani, Primatia Yogi Wulandari
KnE Social Sciences
Impact of Technology on Adolescents
article

Validation of the Smartphone Addiction Scale-Short Version (SAS-SV) for Measuring Problematic Smartphone Use in Indonesian Adolescents

Liza Marini, Wiwin Hendriani, Primatia Yogi Wulandari
article en

Abstract

In recent years, research has highlighted that excessive smartphone use in adolescents can potentially lead to problematic smartphone use (PSU) and negatively impact their daily lives. Hence, more precise measurement methods are necessary, particularly in the Indonesian context. The purpose of this study was to validate the Smartphone Addiction Scale-Short Version (SAS-SV) among Indonesian adolescents. This study included 410 adolescents aged 12 to 18 from Medan, with a mean age M=15.39; SD=1.396 including 245 females and 165 males. The data analysis approach used first-order confirmatory factor analysis (CFA) with correlation factors. The results demonstrate an acceptable model fit for a single-factor structure, with the index criteria value X2 = 151.500 df = 35, p < 0,001, the Standardized Root Mean Square Residual (SRMR)=0.052, Root Mean Squared Error of Approximation (RMSEA)=0.090, Goodness of Fit Index (GFI)=0.986, Tucker-Lewis index (TLI)=0.862, and Comparative Fit Index (CFI)=0.893. Then, the internal consistency reliability coefficient shows good reliability with coefficient values Cronbach’s Alpha of 0.820 and McDonald’s Omega of 0.811, and a composite reliability of 0.824. It shows that using the SAS-SV is feasible and has a reliable scale to measure problematic smartphone use in Indonesian adolescents. Future research should explore the dynamics of problematic smartphone use across diverse regions in Indonesia to gain better understanding of the phenomenon within distinct cultural contexts.

KnE Social SciencesVol. 10(9)
Openalex Percentile: Top 90%
Impact of Technology on Adolescents
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Validation of the Smartphone Addiction Scale-Short Version (SAS-SV) for Measuring Problematic Smartphone Use in Indonesian Adolescents — Liza Marini, Wiwin Hendriani, et al. · KnE Social Sciences (2025) | TGRS Research Map | TGRS