Volume 20 Issue 2
Feb.  2022
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WANG Su-ping, CAI Yong, ZHU Rui, LI Si-cong, LIU Xin-yi, GONG Rui-jie. Development of social network addiction tendency scale for adolescents and its reliability and validity[J]. Chinese Journal of General Practice, 2022, 20(2): 324-326. doi: 10.16766/j.cnki.issn.1674-4152.002343
Citation: WANG Su-ping, CAI Yong, ZHU Rui, LI Si-cong, LIU Xin-yi, GONG Rui-jie. Development of social network addiction tendency scale for adolescents and its reliability and validity[J]. Chinese Journal of General Practice, 2022, 20(2): 324-326. doi: 10.16766/j.cnki.issn.1674-4152.002343

Development of social network addiction tendency scale for adolescents and its reliability and validity

doi: 10.16766/j.cnki.issn.1674-4152.002343
Funds:

 71673187

 1319016

 SHDC12019651

 CHDI-2019-B-03

 HJWX20190203

 SHXH201945

  • Received Date: 2021-04-12
    Available Online: 2022-03-04
  •   Objective  To develop a social network addiction tendency scale for adolescents and to evaluate the reliability and validity of the scale in undergraduate students.  Methods  A convenient sampling survey was carried out among the undergraduates in Shanghai Jiao Tong University School of Medicine. A total of 665 valid questionnaires were collected. After the interval of 2 months, 46 individuals were retested. Factor analysis, correlation analysis and Mann Whitney U test were used to evaluate the validity of the scale. Internal consistency reliability, half reliability and retest reliability were used to evaluate the reliability of the scale. Area under receiver operating characteristic curve was used to evaluate the predictive power and optimal cut-off value of the scale.  Results  Of the total patients, 290 were males (43.6%) and 375 were females (56.4%) with an average age of (19.39±1.35) years. The Kaiser-Meyer-Olkin value was 0.869. Bartlett's sphericity test (P < 0.001) indicated that it was suitable for factor analysis. The results of exploratory factor analysis were single dimension, which could explain 53.02% of the total variation. The factor loading of items ranged from 0.424 to 0.671. The results of confirmatory factor analysis showed that the structure and validity of the scale were good (χ2/df=2.842, GFI=0.957, CFI=0.971, RMSEA=0.076). The S-CVI of the scale was 0.90, the correlation coefficient between each item and the scale was higher than 0.64 (all P < 0.001) and the score of internet addicts was significantly higher than that of non-addicts (P < 0.001). The internal consistent reliability of the scale was 0.880, half reliability 0.817 and retest reliability 0.788. The area under the curve of the scale was over 0.7 (P < 0.001).  Conclusion  The social network addiction tendency scale has good reliability and validity in undergraduate students.

     

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  • [1]
    DARIA K, MARK G. Social networking sites and addiction: Ten lessons learned[J]. Int J Environ Res Public Health, 2017, 14(3): 311. doi: 10.3390/ijerph14030311
    [2]
    刘婕, 邢乐, 陈珺怡, 等. 互联网时代下青少年网络交往动机与网络人际关系成瘾干预研究[J]. 科技视界, 2019(17): 62-64. https://www.cnki.com.cn/Article/CJFDTOTAL-KJSJ201917031.htm
    [3]
    李景萱, 黄丽, 雷辉, 等. 社交网络成瘾研究综述[J]. 中国健康心理学杂志, 2020, 28(3): 162-166. https://www.cnki.com.cn/Article/CJFDTOTAL-JKXL202003035.htm
    [4]
    MIAO X, JIANG X, WANG P F, et al. Online activities, prevalence of Internet addiction and risk factors related to family and school among adolescents in China[J]. Addict Behav Rep, 2018, 7: 14-18. https://pubmed.ncbi.nlm.nih.gov/29450251/
    [5]
    蒋建国. 网晒成瘾: 身份焦虑、装饰性消费与自恋主义文化传播[J]. 南京社会科学, 2018(2): 127-134. https://www.cnki.com.cn/Article/CJFDTOTAL-NJSH201802018.htm
    [6]
    黄嘉鑫, 孙海燕, 王树青, 等. 社交网络过度使用的研究进展与展望: 基于I-PACE模型视角[J]. 心理学进展, 2020, 10(7): 976-988. https://www.cnki.com.cn/Article/CJFDTOTAL-YUCE202004009.htm
    [7]
    黄嘉鑫. 浅析"社交网络过度使用"术语使用混乱现象[J]. 现代交际, 2020(12): 94-96. https://www.cnki.com.cn/Article/CJFDTOTAL-XKJJ202012045.htm
    [8]
    姜永志, 白晓丽, 刘勇, 等. 大学生问题性移动网络使用行为量表编制[J]. 教育生物学杂志, 2017, 5(2): 71-75. https://www.cnki.com.cn/Article/CJFDTOTAL-BIOM201702004.htm
    [9]
    姜永志. 青少年问题性移动社交媒体使用评估问卷编制[J]. 心理技术与应用, 2018, 6(10): 613-621. https://www.cnki.com.cn/Article/CJFDTOTAL-XLJS201810018.htm
    [10]
    丁娇儿, 李炜, 李江, 等. 上海市大学生手机网络成瘾分类量表的修订及信效度调查[J]. 中国预防医学杂志, 2018, 19(5): 345-350. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGYC201805007.htm
    [11]
    史一楠, 张宁, 袁勤俭. 国外社交媒体成瘾研究: 测量工具、理论模型与行为影响[J]. 现代情报, 2020, 40(8): 166-177. https://www.cnki.com.cn/Article/CJFDTOTAL-XDQB202008018.htm
    [12]
    刘斌志, 何冰冰. 我国青少年网络成瘾研究的新动态与新趋势[J]. 重庆邮电大学学报(社会科学版), 2019, 31(3): 80-89. https://www.cnki.com.cn/Article/CJFDTOTAL-CQYD201903010.htm
    [13]
    李雅丽, 夏仲, 俞彤. 近20年网络成瘾研究现状: 基于CiteSpace的计量学分析[J]. 蚌埠医学院学报, 2020, 45(7): 939-942. https://www.cnki.com.cn/Article/CJFDTOTAL-BANG202007027.htm
    [14]
    陆茜, 吴欧, 赵贞卿, 等. 中文版网络成瘾量表的信效度研究[J]. 伤害医学(电子版), 2019, 8(1): 17-23. https://www.cnki.com.cn/Article/CJFDTOTAL-SHYD201901005.htm
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