The smartphone addiction scale: development and validation of a short version for adolescents
Kwon M, Kim DJ, Cho H, Yang S
PloS one · 803 citations
How it was studied
- Design
- Cross-sectional study (classified by our AI screen)
- Studied in
- People
- Main outcome
- Health markers and function
Who paid for it
- Funding
- Independent funding
Based on full-text disclosure statement.
Publication
- Published
- 2013-12-31 · PLoS One · vol. 8 · issue 12 · p. e83558
- Publisher
- Public Library of Science
- Cited
- 2185 citations · more than 100% of similar papers · 48.6× the field average
- Impact
- Top 10% most cited in its field
- References
- 14 works
- Access
- Open access (journal) · CC-BY
- Research areas
- Impact of Technology on Adolescents · Workaholism, burnout, and well-being
- Keywords
- smartphone addiction, Smartphone Addiction Scale, short version, adolescents, scale development, psychometric validation, gender differences, cut-off values
- MeSH
- humans, reproducibility of results, roc curve, behavior, addictive, sex characteristics, adolescent, female, male, republic of korea, surveys and questionnaires, cell phone
4 authors
From KR
- Min KwonThe Catholic University of Korea Seoul St. Mary's Hospital; Catholic University of Korea
- Dai‐Jin KimThe Catholic University of Korea Seoul St. Mary's Hospital; Catholic University of Korea
- Hyun ChoThe Catholic University of Korea Seoul St. Mary's Hospital; Catholic University of Korea
- Soo Young Yang · correspondingCatholic University of Korea
Abstract
Objective
This study was designed to investigate the revised and short version of the smartphone addiction scale and the proof of its validity in adolescents. In addition, it suggested cutting off the values by gender in order to determine smartphone addiction and elaborate the characteristics of smartphone usage in adolescents.
Method
A set of questionnaires were provided to a total of 540 selected participants from April to May of 2013. The participants consisted of 343 boys and 197 girls, and their average age was 14.5 years old. The content validity was performed on a selection of shortened items, while an internal-consistency test was conducted for the verification of its reliability. The concurrent validity was confirmed using SAS, SAPS and KS-scale. Receiver operating characteristics analysis was conducted to suggest cut-off.
Results
The 10 final questions were selected using content validity. The internal consistency and concurrent validity of SAS were verified with a Cronbach's alpha of 0.911. The SAS-SV was significantly correlated with the SAS, SAPS and KS-scale. The SAS-SV scores of gender (p<.001) and self-evaluation of smartphone addiction (p<.001) showed significant difference. The ROC analysis results showed an area under a curve (AUC) value of 0.963(0.888-1.000), a cut-off value of 31, sensitivity value of 0.867 and specificity value of 0.893 in boys while an AUC value of 0.947(0.887-1.000), a cut-off value of 33, sensitivity value of 0.875, and a specificity value of 0.886 in girls.
Conclusions
The SAS-SV showed good reliability and validity for the assessment of smartphone addiction. The smartphone addiction scale short version, which was developed and validated in this study, could be used efficiently for the evaluation of smartphone addiction in community and research areas.
Abstract via Europe PMC. Copyright remains with the authors or publisher (CC BY).
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