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The Smartphone Addiction Scale: Development and Validation of a Short Version for Adolescents

克朗巴赫阿尔法 接收机工作特性 同时有效性 上瘾 比例(比率) 标准效度 心理学 内容有效性 医学 临床心理学 可靠性(半导体) 有效性 内部一致性 心理测量学 精神科 内科学 地图学 物理 功率(物理) 量子力学 地理
作者
Min Jeong Kwon,Dai‐Jin Kim,Hyun Cho,Soo Yang
出处
期刊:PLOS ONE [Public Library of Science]
卷期号:8 (12): e83558-e83558 被引量:1694
标识
DOI:10.1371/journal.pone.0083558
摘要

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.

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