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The Adaptation of the Social Media Disorder Scale to Turkish Culture: Validity and Reliability Study

Year 2018, Volume: 9 Issue: 2, 116 - 135, 30.06.2018
https://doi.org/10.21031/epod.335607

Abstract

The present
study aimed to test the reliability and validity of Social Media Disorder (SMD-9)
Scale in Turkish adolescents and to examine its psychometric properties. Three study
groups were conducted among a total of 586 (202+204+180) Turkish adolescents
aged from 13 to 18. According to explanatory factor analysis results, it was
found that the Turkish form of the SMDS had one-dimension just like the
original version and the unidimensional scale explained 48.11% of variance
related to the attribute it measured. In confirmatory factor analysis, fit
index values were found as χ²/df=1.87, RMSEA=.066, CFI=.98, GFI=.98, IFI=.98,
NFI=.96, RFI=.97, and SRMR=.039. Factor loadings ranged from .35 to .76. In the
concurrent validity, the Social Media Disorder Scale had significant
relationships with Young’s Internet Addiction Test-Short Form and Smart Phone
Addiction Scale-Short Form for Adolescent (r=
.64, .66, respectively). Cronbach alpha internal consistency coefficient was
found as .75. Guttman split-half reliability coefficient was found as .64.
Corrected item-total correlations ranged from .29 to .73. Overall results
demonstrated that Social Media Disorder Scale can be used for Turkish
adolescents as a valid and reliable instrument.  

References

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  • Brennan, R. (1972). A Generalized Upper-Lower Item Discrimination Index. Educational and Psychological Measurement, 32(2), 289-303. doi:10.1177/001316447203200206
  • Cabral, J. (2011). Is generation Y addicted to Social Media. The Elon Journal of Undergraduate Research in Communications, 2(1), 1-10.
  • Ceyhan, E., Ceyhan, A. A., & Gürcan, A. (2007). Problemli İnternet Kullanımı Ölçeği’nin geçerlik çalışmaları. Kuram ve Uygulamada Eğitim Bilimleri, 7(1), 387- 416.
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Sosyal Medya Kullanım Bozukluğu Ölçeği’nin Türk Kültürüne Uyarlanması: Geçerlik ve Güvenirlik Çalışması

Year 2018, Volume: 9 Issue: 2, 116 - 135, 30.06.2018
https://doi.org/10.21031/epod.335607

Abstract

Bu çalışmada Sosyal Medya Kullanım Bozukluğu Ölçeği’nin (SMKBÖ-9) Türk
ergenlerde geçerlik ve güvenirliğini test etmek ve psikometrik özelliklerini
incelemek amaçlanmıştır. Araştırma kapsamına yaşları 13 ile 18 arasında değişen
üç farklı çalışma grubunda yer alan toplam 586 (202+204+180) ergen alınmıştır. Açımlayıcı
faktör analizi sonuçlarına göre SMKBÖ’nün Türkçe formunun orijinalindeki gibi
tek boyuta sahip olduğu ve bu tek boyutlu yapının ölçtüğü özellikle ilgili
toplam varyansın %48.11’ini açıkladığı görülmüştür. Doğrulayıcı faktör analizi
sonucu ölçeğin uyum iyiliği değerleri χ²/sd=1.87, RMSEA=.066, CFI=.98, GFI=.98,
IFI=.98, NFI=.96, RFI=.97 ve SRMR=.039 olarak hesaplanmıştır. Ayrıca madde
faktör yükleri de .35 ile .76 arasında sıralanmaktadır. Eşdeğer ölçek (ölçüt)
geçerliği çalışmasında Sosyal Medya Kullanım Bozukluğu Ölçeği ile Young
İnternet Bağımlılığı Testi-Kısa Formu ve Ergenler için Akıllı Telefon
Bağımlılığı-Kısa Formu arasında sırasıyla r=
.64, .66 ilişkiler tespit edilmiştir. Cronbach alfa iç tutarlık katsayısı .75,
Guttman iki yarı test güvenirlik katsayısı .64 olarak bulunmuştur. Düzeltilmiş
madde toplam korelasyon katsayıları .29 ile .73 arasında değişmektedir. Tüm bu
sonuçlar, Sosyal Medya Kullanım Bozukluğu Ölçeği’nin Türk ergenlerde
kullanılabilecek geçerli ve güvenilir bir ölçme aracı olduğunu göstermiştir. 

References

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  • Akın, A., Altundağ, Y., Turan, M. E., & Akın, U. (2014). The validity and reliability of the turkish version of the Smart Phone Addiction Scale-Short Form for Adolescent. Procedia-Social and Behavioral Sciences, 152, 74-77. doi: 10.1016/j.sbspro.2014.09.157
  • Alper, R. (2006). Spor bilimlerinde uygulamalı istatistik. Ankara: Nobel Akademik Yayıncılık.
  • Andreassen, C. S. (2015). Online social network site addiction: A comprehensive review. Current Addiction Reports, 2(2), 175-184. doi: 10.1007/s40429-015-0056-9 American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Washington, DC: American Psychiatric Association. Text revision.
  • Barrett, P. (2007). Structural equation modelling: Adjudging model fit. Personality and Individual Differences, 42(5), 815-24. doi:10.1016/j.paid.2006.09.018
  • Blackwell, D., Leaman, C., Tramposch, R., Osborne, C., & Liss, M. (2017). Extraversion, neuroticism, attachment style and fear of missing out as predictors of social media use and addiction. Personality and Individual Differences, 116, 69-72. doi: 10.1016/j.paid.2017.04.039
  • Brennan, R. (1972). A Generalized Upper-Lower Item Discrimination Index. Educational and Psychological Measurement, 32(2), 289-303. doi:10.1177/001316447203200206
  • Cabral, J. (2011). Is generation Y addicted to Social Media. The Elon Journal of Undergraduate Research in Communications, 2(1), 1-10.
  • Ceyhan, E., Ceyhan, A. A., & Gürcan, A. (2007). Problemli İnternet Kullanımı Ölçeği’nin geçerlik çalışmaları. Kuram ve Uygulamada Eğitim Bilimleri, 7(1), 387- 416.
  • Chaffey, D. (2017). Global social media research summary 2017. Avaliable at http://www.smartinsights.com/social-media-marketing/social-media-strategy/new-global-social-media-research/
  • Charter, R. A. (2001). It’s time to bury the Spearman-Brown “prophecy” formula for some common applications. Educational and Psychological Measurement, 61(4), 690-696.
  • Davis, L. L. (1992). Instrument review: Getting the most from a panel of experts. Applied Nursing Research, 5(4),194-197. doi: 10.1016/S0897-1897(05)80008-4
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  • Ekşi, H., & Çiftçi, M. (2017). Lise öğrencilerinin problemli internet kullanım durumlarının dinî inanç ve ahlaki olgunluk düzeylerine göre yordanması. Addicta: The Turkish Journal on Addictions, 4, 181–206. http://dx.doi.org/10.15805/addicta.2017.4.2.0013
  • Erfanmanesh, M., & Hosseini, E. (2015). Review of: Nakaya, Andrea C., Internet and Social Media Addiction. The United States: Reference Point Press, 2015. Webology, 12(2), Book Review 25. Available at: http://www.webology.org/2015/v12n2/bookreview25.pdf
  • Erkorkmaz, Ü., Etikan, İ., Demir, O., Özdamar, K., & Sanisoğlu, S. Y. (2013). Doğrulayıcı faktör analizi ve uyum indeksleri. Türkiye Klinikleri J Med Sci, 33(1), 210-223. doi: 10.5336/medsci.2011-26747
  • Garson, G. D. (2012). Discriminant function analysis. Statistical Associates Publishers.
  • Griffiths, M. (2005). A ‘components’ model of addiction within a biopsychosocial framework. Journal of Substance Use, 10(4), 191-197. doi: 10.1080/14659890500114359
  • Griffiths, M. D. (2013). Social Networking Addiction: Emerging themes and issues. Journal of Addiction Research & Therapy, 4(5), e188. doi: 10.4172/2155-6105.1000e118
  • Griffiths, M., Van Rooij, A. J., Kardefelt-Winther, D., Starcevic, V., Kiraly, O.,Pallesen, S., et al. (2016). Working towards an international consensus on criteria for assessing Internet Gaming Disorder: a critical commentary on Petry, et al (2014). Addiction, 111(1), 167-175. doi:10.1111/add.13057
  • Griffiths, M. D., Kuss, D. J., & Demetrovics, Z. (2014). Social networking addiction: an overview of preliminary findings. In Behavioral addictions. Criteria, evidence, and treatment (pp. 119-141). New York: Elsevier.
  • Günlü, A. & Ceyhan, A. A. (2017). Ergenlerde internet ve problemli internet kullanım davranışının incelenmesi. Addicta: The Turkish Journal on Addictions, 4(1), 75–117. http://dx.doi.org/10.15805/addicta.2017.4.1.0016
  • Harrington, D. (2009). Assessing Confirmatory Factor Analysis Model Fit and Model Revision. Confirmatory Factor Analysis. New York: Oxford University Press.
  • Hawi, N. S., & Samaha, M. (2016). The relations among social media addiction, self-esteem, and life satisfaction in university students. Social Science Computer Review, doi: 10.1177/0894439316660340
  • Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39, 31–36.
  • Khan, S. F., Ullah, F., Khan, M. K., Raza, A. J. S., & Shah, H. (2017). Effect of social media addiction on compliance in the patients of District Bannu, Khyber PakhtunKhwa. International Journal of Basic Medical Sciences and Pharmacy (IJBMSP), 6(2), 21-25.
  • Kırcaburun, K. (2016). Self-esteem, daily internet use and social media addiction as predictors of depression among Turkish adolescents. Journal of Education and Practice, 7(24), 64-72.
  • Kırık, A. M., Arslan, A., Çetinkaya, A., & Gül, M. (2015). A quantitative research on the level of social media addiction among young people in Turkey. International Journal of Science Culture and Sport (IntJSCS), 3(3), 108-122.
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There are 78 citations in total.

Details

Primary Language Turkish
Journal Section Articles
Authors

Hakan Sarıçam

Fatıma Firdevs Adam Karduz

Publication Date June 30, 2018
Acceptance Date March 6, 2018
Published in Issue Year 2018 Volume: 9 Issue: 2

Cite

APA Sarıçam, H., & Adam Karduz, F. F. (2018). Sosyal Medya Kullanım Bozukluğu Ölçeği’nin Türk Kültürüne Uyarlanması: Geçerlik ve Güvenirlik Çalışması. Journal of Measurement and Evaluation in Education and Psychology, 9(2), 116-135. https://doi.org/10.21031/epod.335607

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