Lee Mi-Sun, Choi Jung-Seok, Kweon Yong-Sil, Bhang Soo-Young
Faculty of Psychology, University of Warsaw, Warsaw, Poland.
Department of Preventive Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Psychiatry Investig. 2025 Feb;22(2):167-174. doi: 10.30773/pi.2024.0145. Epub 2025 Feb 17.
This study aimed to validate the reliability and validity of the Diagnostic Interview for the Internet Addiction Scale (DIA) among Korean children and adolescents in the clinical setting.
We collected the clinical data from university hospitals in South Korea and 194 children and adolescents (aged 7-18 years) completed the questionnaire. The content validity was conducted on 10 items of the DIA and an internal consistency test was performed for the verification of reliability.
Participants on average, aged 13.17 years (standard deviation=2.46), and 75.3% (n=146) were boys. The DIA was highly correlated with the scores of the Korean scale for Internet addiction for adolescents, Young's Internet Addiction Test, Internet addiction proneness scale for children and adolescents. The overall sampling suitability of the 10-item scale was tested using the Kaiser-Meyer-Olkin, resulting in a high value of 0.861. The DIA revealed a two-factor structure and the Cronbach's alpha correlation coefficient for the total scale was 0.806. Confirmatory factor analysis showed an acceptable model fit (root-mean square error of approximation=0.058, comparative fit index=0.950, and Tucker-Lewis Index=0.919).
The DIA may suggest in-depth-scale examinations of the factors that influence Internet addiction. We may expect that DIA would be used efficiently for the diagnosing of Internet addiction and further studies for the assessment.
本研究旨在验证网络成瘾诊断访谈量表(DIA)在韩国儿童和青少年临床环境中的信度和效度。
我们收集了韩国大学医院的临床数据,194名儿童和青少年(7 - 18岁)完成了问卷调查。对DIA的10个项目进行了内容效度分析,并进行了内部一致性检验以验证信度。
参与者平均年龄为13.17岁(标准差 = 2.46),75.3%(n = 146)为男孩。DIA与韩国青少年网络成瘾量表、杨氏网络成瘾测试、儿童和青少年网络成瘾倾向量表的得分高度相关。使用凯泽 - 迈耶 - 奥尔金检验了10项量表的总体抽样适宜性,得到的高值为0.861。DIA显示出双因素结构,总量表的克朗巴哈α相关系数为0.806。验证性因素分析显示模型拟合可接受(近似均方根误差 = 0.058,比较拟合指数 = 0.950,塔克 - 刘易斯指数 = 0.919)。
DIA可能提示对影响网络成瘾的因素进行深入的量表检查。我们可以预期DIA将有效地用于网络成瘾的诊断以及进一步的评估研究。