SavedAdd your journal

Journals / European Journal of Educational Research / 2019 / Cilt: 8 Sayı: 2

Smartphone Addiction, Fear of Missing Out, and Perceived Competence as Predictors of Social Media Addiction of Adolescents

Aygul TUNC-AKSAN
Sinem Evin AKBAY
Pages
559–566
Publication Date
2019-04-15
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

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

When the smartphone addiction level and fear of missing out decrease, and also perceived academic competence improve, students’ smartphone addiction levels reduce.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study it is aimed to analyze the smartphone addiction, fear of missing out (FoMO), and perceived social and academic competence that predict social media addiction on high school students.
📊
Key Findings & Data:Study group consists of 296 (136 females and 160 males) high school students studying in Anatolian High Schools and Vocational High School in Mersin during the 2017-2018 academic year.
💡
Conclusion & Impact:When the smartphone addiction level and fear of missing out decrease, and also perceived academic competence improve, students’ smartphone addiction levels reduce.
🔬Design:Survey & Empirical Study
📍Scope:2017-2018 Verileri
⚙️Variables:Social media addiction · smartphone · fear of missing out

Abstract

In this study it is aimed to analyze the smartphone addiction, fear of missing out (FoMO), and perceived social and academic competence that predict social media addiction on high school students. Study group consists of 296 (136 females and 160 males) high school students studying in Anatolian High Schools and Vocational High School in Mersin during the 2017-2018 academic year. Simple random sampling was used. In the study, descriptive survey method was used. As data collection tools, Personal Information Form, Social Media Addiction Scale, Smartphone Addiction Scale, Fear of Missing Out Scale (FoMO), Perceived Competence Scale developed by Ozer et al. were used. In analyses of data, regression was used. According to stepwise regression analysis, smartphone addiction (β = .34), fear of missing out (β = .26) and perceived academic competence (β = -.12) predict social media addiction level on high school students. As the result of the study, smartphone addiction, fear of missing out, and perceived academic competence predict social media addiction on high school students. When the smartphone addiction level and fear of missing out decrease, and also perceived academic competence improve, students’ smartphone addiction levels reduce.

🔖

Cite This Article

TUNC-AKSAN, A., AKBAY, S. E. (2019). Smartphone Addiction, Fear of Missing Out, and Perceived Competence as Predictors of Social Media Addiction of Adolescents. European Journal of Educational Research, Cilt: 8 Sayı: 2, 559–566. https://ajindex.com/articles/987165

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (9)

  1. American Psychiatric Association, DSM-5 Task Force. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Arlington, VA: American Psychiatric Publishing. Alabi, O. F. (2013). A survey of Facebook addiction level among selected Nigerian university undergraduates. New Media and Mass Communication, 10, 70–80.
  2. Andreassen, C. S., Tosheim, T., Brunborg, G. S., & Pallesen, S. (2012). Development of a Facebook book addiction scale. Psychological Reports, 110(2), 501–517.
  3. Andreassen, C. S., Billieux, J., Griffiths, M. D., Kuss, D. J., Demetrovics, Z., Mazzoni, E., & Pallesen, S. (2016). The relationship between addictive use of social media and video games and symptoms of psychiatric disorders: A large-scale cross-sectional study. Psychology of Addictive Behaviors, 30(2), 252–262. doi: 10.1037/adb0000160 Banyai, F., Zsila, A., Kiraly, O., Maraz, A., Elekes, Z., Griffiths, M., … Demetrovics, Z. (2017). Problematic social media use: Results from a large-scale nationally representative adolescent sample. PLOS ONE, 12(1), e0169839. doi: 10.1371/journal.pone.0169839 Billieux, J., Maurage, P., Lopez-Fernandez, O., Kuss, D. J., & Griffiths, M. D. (2015). Can disordered mobile phone use be considered a behavioral addiction? An update on current evidence and a comprehensive model for future research. Current Addiction Reports, 2(2), 156–162.
  4. Brand, M., Young, K. S., Laier, C., Wolfling, K., & Potenza, M. N. (2016). Integrating psychological and neurobiological considerations regarding the development and maintenance of specific Internet-use disorders: An Interaction of Person-Affect-Cognition-Execution (I-PACE) model. Neuroscience & Biobehavioral Reviews, 71, 252–266.
  5. Gokler, M. E., Aydin, R., Unal, E., & Metintas, S. (2016). Sosyal ortamlarda gelismeleri kacirma korkusu olceginin Turkce surumunun gecerlilik ve guvenilirliginin degerlendirilmesi [Determining validity and reliability of Turkish version of Fear of Missing out Scale]. Anatolian Journal of Psychiatry, 17(Suppl.1), 53–59.
  6. Griffiths, M. D. (1995). Technological addictions. Clinical Psychology Forum, 76, 14–19.
  7. Griffiths, M. D. (2000). Does Internet and computer “addiction” exist? Some case study evidence. Cyberpsychology & Behavior, 3(2), 211–218.
  8. Griffiths, M. D. (2005). A “components” model of addiction within a biopsychosocial framework. Journal of Substance Use, 10(4), 191–197.
  9. Griffiths, M. D., Pontes, H. M., & Kuss, D. J. (2016). Online addictions: Conceptualizations, debates, and controv