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Journals / International Journal of Assessment Tools in Education / 2019 / Cilt: 6 - Sayı: 3

Social Network Addiction Scale: The Validity and Reliability Study of Adolescent and Adult Form

İbrahim GÖKDAŞ
Yaşar KUZUCU
Pages
396–414
Publication Date
2022-10-18
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The Social Network Addiction Scale developed within the scope of this study is thought to have the adequate validity and reliability structure that can be used to measure social network addiction levels of adolescents and young adults.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, it was aimed to develop a valid and reliable social network addiction scale for adolescents and young adults.
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Key Findings & Data:In the Exploratory Factor Analysis of the scale, the application was conducted to 425 high school students between 14-17 years of age and 310 young adults between 18-43 years of age.
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Conclusion & Impact:The Social Network Addiction Scale developed within the scope of this study is thought to have the adequate validity and reliability structure that can be used to measure social network addiction levels of adolescents and young adults.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Social network addiction scale · Social media addiction · Social media usage

Abstract

In this study, it was aimed to develop a valid and reliable social network addiction scale for adolescents and young adults. In the Exploratory Factor Analysis of the scale, the application was conducted to 425 high school students between 14-17 years of age and 310 young adults between 18-43 years of age. Confirmatory Factor Analysis was performed on a different group and for this purpose, 322 high school students and 197 young adults were included in the analysis. As a result of the analyses performed, the scale exhibited a-10-item and three-factor structure in both groups. The total variance explained was 71.51% for adolescents and 70.96% for young adults. The total Cronbach Alpha reliability coefficient of the scale was .87 for adolescents and .84 for young adults. With the 1st and 2nd level Confirmatory Factor Analysis performed on a similar study group, a good model was revealed for both adolescents and young adults. The Social Network Addiction Scale developed within the scope of this study is thought to have the adequate validity and reliability structure that can be used to measure social network addiction levels of adolescents and young adults.

Özet

In this study, it was aimed to develop a valid and reliable social network addiction scale for adolescents and young adults. In the Exploratory Factor Analysis of the scale, the application was conducted to 425 high school students between 14-17 years of age and 310 young adults between 18-43 years of age. Confirmatory Factor Analysis was performed on a different group and for this purpose, 322 high school students and 197 young adults were included in the analysis. As a result of the analyses performed, the scale exhibited a-10-item and three-factor structure in both groups. The total variance explained was 71.51% for adolescents and 70.96% for young adults. The total Cronbach Alpha reliability coefficient of the scale was .87 for adolescents and .84 for young adults. With the 1st and 2nd level Confirmatory Factor Analysis performed on a similar study group, a good model was revealed for both adolescents and young adults. The Social Network Addiction Scale developed within the scope of this study is thought to have the adequate validity and reliability structure that can be used to measure social network addiction levels of adolescents and young adults.

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Cite This Article

GÖKDAŞ, İ., KUZUCU, Y. (2022). Social Network Addiction Scale: The Validity and Reliability Study of Adolescent and Adult Form. International Journal of Assessment Tools in Education, Cilt: 6 - Sayı: 3, 396–414. https://ajindex.com/articles/540161

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References (9)

  1. Aksu, G., Eser, M. T., & Güzeller, C. O. (2017). Açımlayıcı ve Doğrulayıcı Faktör Analizi ile Yapısal Eşitlik Modeli Uygulamaları. Ankara:
  2. Detay yayıncılık. Allen, K. A., Ryan, T., Gray, D. L., Mclnerney, D. M., & Waters, L. (2014). Social media use and social connectedness in adolescents: The positives and the potential pitfalls. The Australian Educational and Developmental Psychologist, 31, 18 - 31. https://doi.org/10.1017/edp.2014.2
  3. Andreassen, C. S. (2015). Online social network site addiction: A comprehensive review. Technology and Addiction (M Griffiths, Section Editor). Current Addiction Reports. 2, 175–184. DOI 10.1007/s40429-015-0056-9
  4. Augner, C., & Hacker, G.W. (2012). Associations between problematic mobile phone use and psychological parameters in young adults. International Journal of Public Health. 57(2), 437-41. DOI: 10.1007/s00038-011-0234-z APA (American Psychiatric Association). (2013). Diagnostic and Statistical Manual of Mental Disorders (DSM-5). American Psychiatric Association Publishing. Ayğar Bakır, B. & Uzun, B. (2018). Sosyal Medya Bağımlılığı Ölçeği’nin geliştirilmesi: Geçerlik ve güvenirlik çalışmaları. [Developing the Social Media Addiction Scale: Validity and Reliability Studies] Addicta: The Turkish Journal on Addictions, 5, 507‒525. http://dx.doi.org/10.15805/addicta.2018.5.3.0046 boyd, D. M., & Ellison, N. B. (2007). Social network sites: Definition, history, and scholarship. Journal of Computer - Mediated Communication, 13, 2010 - 2030. https://doi.org/10.1111/j.1083-6101.2007.00393.x
  5. Brunborg, G. S., Mentzoni, R. A., Molde, H., Myrseth, H., Skouverøe, K. J. M., Bjorvatn, B., & Pallesen, S. (2011). The relationship between media use in the bedroom, sleep habits, and symptoms of insomnia. Journal of Sleep Research, 20, 569-575. https://doi.org/10.1111/j.1365-2869.2011.00913.x
  6. Cakir Balta, O. & Horzum M. B. (2008). İnternet bağımlılığı testi. [Internet addiction test]. Eğitim Bilimleri ve Uygulama, 7(13), 87-102
  7. Can, L., & Kaya, N. (2016). Social networking sites addiction and the effect of attitude towards social network advertising. Procedia-Social and Behavioral Sciences, 235, 484-492. https://doi.org/10.1016/j.sbspro.2016.11.059
  8. Cao, F., & Su, L., (2006). Internet addiction among Chinese adolescents: prevalence and psychological features. Child Care Health and Development. 33(3), 275–281. https://doi.org/10.1111/j.1365-2214.2006.00715.x
  9. Cecilia, C., & Yee-lam L. A., (2014). Internet addiction prevalence and quality of (re