SavedAdd your journal

Journals / Türk Psikolojik Danışma ve Rehberlik Dergisi / 2020 / Cilt: 10 - Sayı: 58

Psychometric Properties of Turkish CyberPsychology Scales

Fedai KABADAYI
Pages
399–425
Publication Date
2020-09-30
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)

Previous scales and the problem areas that do not yet have measurement instruments have been examined, and some suggestions are made regarding the scales and sample groups that can be developed for Turkish culture.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Digital technologies have seen significant use in the lives of individuals, but despite the many contributions, digital technologies also cause some problems.
📊
Key Findings & Data:Self-report scales are widely used in psychology to determine problems and have an important position for researchers and mental health practitioners. 167 Turkish cyberpsychology scales were compiled, and its properties were examined in the preset study.
💡
Conclusion & Impact:Previous scales and the problem areas that do not yet have measurement instruments have been examined, and some suggestions are made regarding the scales and sample groups that can be developed for Turkish culture.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Cyberpsychology · Review · Scale

Abstract

Digital technologies have seen significant use in the lives of individuals, but despite the many contributions, digital technologies also cause some problems. Self-report scales are widely used in psychology to determine problems and have an important position for researchers and mental health practitioners. 167 Turkish cyberpsychology scales were compiled, and its properties were examined in the preset study. The research was designed using qualitative methods. A sample group of mostly adolescents and university students was existed in Turkish cyberpsychology scales. According to the findings, half of the scales had adaptation, three-quarters of scales had adequate or good levels of variance explanatory power, and a cutoff point was determined for nearly one-quarter of the scales. Previous scales and the problem areas that do not yet have measurement instruments have been examined, and some suggestions are made regarding the scales and sample groups that can be developed for Turkish culture.

🔖

Cite This Article

KABADAYI, F. (2020). Psychometric Properties of Turkish CyberPsychology Scales. Türk Psikolojik Danışma ve Rehberlik Dergisi, Cilt: 10 - Sayı: 58, 399–425. https://ajindex.com/articles/64348

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (15)

  1. Abel, J. P., Buff, C. L., & Burr, S. A. (2016). Social media and the fear of missing out: Scale development and assessment. Journal of Business & Economics Research (Online), 14(1), 33-44.
  2. Adıgüzel, A., Erözkan, A., & Doğan, U. (2016). The Turkish adaptation of Compulsive Texting Scale for Adolescents: The validity and reliability study. Online Journal of Technology Addiction & Cyberbullying, 3(2), 1-13.
  3. Akın, A., Demirci, İ., & Kara, S. (2017). Facebook Bağımlılığı Ölçeği’nin Türkçe formunun geçerliği ve güvenirliği. Akademik Bakış Dergisi, (59), 65-72.
  4. Akın, A., Kaya, Ç., & Demirci, I. (2015). Oyun Motivasyonu Ölçeği’nin geçerliği ve güvenirliği. Mersin University Journal of the Faculty of Education, 11(1), 18-31.
  5. Akın, A., Turan, M. E., & Akın, Ü. (2015). Problemli Çevrimiçi Oyun Kullanımı Ölçeği Türkçe Formu: Geçerlik ve güvenirlik çalışması. Birey ve Toplum Sosyal Bilimler Dergisi, 5(2), 65-78.
  6. Akın, A., Özbay, A., & Baykut, İ. (2015). Sosyal Medya Kullanımı Ölçeği’nin Türkçe Formu’nun geçerliği ve güvenirliği. Journal of International Social Research, 8(38), 647-650.
  7. Aktürk, A. O., Çelik, İ., Şahin, İ., & Deniz, M. E. (2014). Turkish adaptation study of Facebook Connection Strategies Scale. Elementary Education Online, 13(1), 319-333.
  8. Al-Menayes, J. J. (2015). Dimensions of social media addiction among university students in Kuwait. Psychology and Behavioral Sciences, 4(1), 23-28.
  9. Alakurt, T. (2017). Adaptation of Online Privacy Concern Scale into Turkish culture. Pegem Eğitim ve Öğretim Dergisi, 7(4), 611-636.
  10. Alam, M., Qureshi, M. S., Sarwat, A., Haque, Z., Salman, M., Masroor, M. A. M.,. & Ehtesham, S. A. (2014). Prevalence of phantom vibration syndrome and phantom ringing syndrome (Ringxiety): Risk of sleep disorders and infertility among medical students. International Journal of Advanced Research, 2(12), 688-693.
  11. Alt, D. (2015). College students’ academic motivation, media engagement and fear of missing out. Computers in Human Behavior, 49, 111-119.
  12. Aluç-Gülşen, E. (2019). Sosyal Medya Kullanım Bozukluğu Ölçeği’nin Türkiye'de yetişkinlere uyarlanması: Geçerlik ve güvenirlik çalışması. Yayınlanmamış yüksek lisans tezi, İstanbul Gelişim Üniversitesi,
  13. İstanbul.
  14. Altundağ, Y., & Ayas, T. (2018). Öğretmenler için Sanal Zorbalıkla Başa Çıkma Stratejileri Ölçeği: Geçerlilik ve güvenilirlik çalışması. Anadolu Psikiyatri Dergisi, 19, 84-92.
  15. Anlı, G., & Taş, İ. (2018). Ergenler için Oyun Bağımlılığı Ölçeği Kısa Formu’nun geçerlik ve güvenirlik çalışmas