Research Article
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Adaptation of the Social Media Addiction Scale into Azerbaijani Turkish: Validity and Reliability Study

Year 2024, Volume: 11 Issue: 4, 37 - 58
https://doi.org/10.17275/per.24.48.11.4

Abstract

Excessive attachment to social media, a constant desire to be online, being driven by uncontrollable motivation, and the negative impact of this situation on other significant areas of life are considered as social media addiction. In this study, the Social Media Addiction Scale Student Form (SMAS-SF), previously developed in Türkiye to determine students' levels of social media addiction, was adapted into Azerbaijani Turkish. The SMAS-SF is a five-point likert-type scale consisting of 29 items that can be grouped under four factors. The study group consisted of a total of 1,074 students aged 18-26 studying at different universities in Baku. The sample of the study was determined using the convenient sampling method, one of the non-probabilistic sampling determination types. Within the scope of the validity and reliability studies of the scale, expert opinion, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), item total correlations, lower and upper group mean differences, and internal consistency coefficient and stability analyses were performed. As a result of the analyses, it was found that the original structure of the SMAS-SF, consisting of 29 items and 4 dimensions, was confirmed, and significant evidence was provided that it can be used as a valid and reliable measurement tool to determine the level of social media addiction among university students aged 18-26. The lowest possible score that can be obtained from the scale is 29, and the highest score is 145. A high score may indicate a high level of social media addiction in students.

Ethical Statement

İlgili araştırmanın uygulanabilmesi için Ankara Hacı Bayram Veli Üniversitesi Etik Komisyonu’ndan gerekli izinler alınmıştır.

References

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  • Akram, W. & Kumar, R. (2017). A study on positive and negative effects of social media on society. International Journal of Computer Sciences and Engineering, 5(10), 351-354 https://doi.org/10.26438/ijcse/v5i10.351354
  • American Addiction Center (2019). Social Media Addiction. Retrieved January 11, 2023, from https://www.addictioncenter.com/drugs/social-media-addiction/
  • Andreassen, C.S., & Pallesen, S. (2014). Social network site addiction – An overview. Current Pharmaceutical Design, 20, 4053–61.
  • Ayğar, B. B. & Uzun B. (2018). Development the social media addiction scale: Validity and reliability studies. Addicta: The Turkish Journal on Addictions, 5(3), 1–19. http://dx.doi.org/10.15805/addicta.2018.5.3.0046
  • Balcı, A. (2009). Sosyal bilimlerde araştırma: Yöntem, teknik ve ilkeler [Research in social sciences: Methods, techniques and principles]. Pegem.
  • Balcı, H. & Korkmaz, Ö. (2020). Developing the attitude scale toward educational robotic education ın-class. Journal of Ahmet Keleşoğlu Education Faculty, 2(1), 84-99.
  • Barkhuus, L. & Tashiro, J. (2010). Student socialization in the age of facebook. Proceedings of the 28th International Conference on Human Factors in Computing Systems. https://doi.org/10.1145/1753326.1753347
  • Binark, M., Bayraktutan-Sütcü G., & Buçakçı, F. (2009). How Turkish young people utilize internet cafes: The results of ethnographic research in Ankara. Observatorio, 3(1), 286–310.
  • Brown, T. A. (2006). Confirmatory factor analysis for applied research. The Guilford Press.
  • Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen and J. S. Long (Eds.), Testing structural equation models (pp. 136-162), Sage.
  • Büyüköztürk, Ş., Kılıç Çakmak, E., Akgün, Ö.E., Karadeniz, Ş. & Demirel, F. (2016). Bilimsel araştırma yöntemleri [Scientific research methods]. Pegem.
  • Byrne, B. M. (2010). Structural equation modeling with AMOS: Basic concepts, applications, and programming (2nd ed.). Routledge/Taylor & Francis Group.
  • Creswell. J.W. & Creswell, J.D. (2017) Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. 4. Baskı, Sage, Newbury Park.
  • Dalamba, F. (2022). Pros and cons of social media. Retrieved May 9 2023, from https://www.lifespan.org/lifespan-living/social-media-good-bad-and-ugly
  • Doğan, U. & Karakaş, Y. (2016). Multi-dimensional loneliness as the predictor of high school students' social network sites (SNS) use. Sakarya University Journal of Education, 6(1), 57–71. http://dx.doi.org/10.19126/suje.40198
  • Erkuş, A. (2016). Problems in scale development and adaptation studies, writing and evaluation. Pegem Citation Index, 0, 1211-1224. http://dx.doi.org/10.14527/9786053183563.075
  • Fabrigar, L. R., Wegener, D. T., MacCallum, R. C., & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299. https://doi.org/10.1037/1082-989X.4.3.272
  • Fox, J. & Warber, K.M. (2013). Romantic relationship development in the age of facebook: an exploratory study of emerging adults’ perceptions, motives, and behaviors. Cyberpsychology, Behavior, and Social Networking, 16, 3–7.
  • Fraenkel, J. R., & Wallen, N. E. (2006). How to design and evaluate research in education (6th ed.). McGraw-Hill
  • Goldberg, L. R. (1999). A Broad-Bandwidth, Public Domain Personality Inventory Measuring the Lower-Level Facets of Several Five-Factor Models. In I. Mervielde, I. Deary, F. De Fruyt, & F. Ostendorf (Eds.), Personality Psychology in Europe, 7-28. Tilburg University Press.
  • Griffiths, M. D, Kuss, D. J, Billieux J. & Pontes, H.M. (2016). The evolution of internet addiction: A global perspective. Addictive Behaviors, 53, 193-195. https://doi.org/10.1016/j.addbeh.2015.11.001
  • Griffiths, M. D. (2000). Internet addiction — Time to be taken seriously? Addiction Research, 8, 413–418.
  • Jaafar, M. H., Arifin, K., Aiyub, K., Razman, M. R., & Kamaruddin, M. A. (2017). Human Element as the Contributing Factor Towards Construction Accidents from the Perspective of Malaysian Residential Construction Industry. Advances in Safety Management and Human Factors, 296–308. https://doi.org/10.1007/978-3-319-60525-8_31
  • Jöreskog, K. G., & Sörbom, D. (1993). LISREL 8: Structural equation modeling with the SIMPLIS command language. Scientific Software International; Lawrence Erlbaum Associates, Inc.
  • Kalaycı, Ş. (2009). SPSS Uygulamalı Çok Değişkenli İstatistik Teknikleri [SPSS Applied Multivariate Statistics Techniques]. Asil Publ.
  • Kerimova, M. & Günüç, S. (2016). Adaptation of internet addiction scale in Azerbaijani language: A validity-reliability and prevalence study, Journal of Education and Training Studies, 4(1). https://doi.org/10.11114/jets.v4i1.1105
  • Kietzmann J.H, Hermkens K & McCarthy I.P. (2011). Social media? Get serious! Understanding the functional building blocks of social media. Business Horizons, 54. 241- 251.
  • Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed.). Guilford Press.
  • Kuss, D. J., & Griffiths, M. D. (2012). Internet gaming addiction: A systematic review of empirical research. International Journal of Mental Health and Addiction, 10(2), 278–296. https://doi.org/10.1007/s11469-011-9318-5
  • Lazakidou, A. A. (Ed.). (2012). Virtual communities, social networks and collaboration. Annals of Information Systems, 15, 248 https://doi.org/10.1007/978-1-4614-3634-8
  • Looman, W.S. & Farrag, S. (2009). Psychometric properties and cross-cultural equivalence of the Arabic Social Capital Scale: Instrument development study. International Journal of Nursing Studies, 46(1), 44-53.
  • Marlatt, G. A., Baer, J. S., Donovan, D. M. & Kivlahan, D. R. (1988). Addictive behaviors: Etiology and treatment. Annual Review of Psychology, 39, 223–252.
  • Otrar, M. & Argın, F. S. (2015). A scale development study to determine the attıtude of students' towards social media. Journal of Research in Education and Teaching, 4(1), 391-403.
  • Raykov, T., & Marcoulides, G. A. (2006). A first course in structural equation modeling (2nd ed.). Mahwah, NJ: Lawrence Erlbaum. Organizational Research Methods, 11(2), 408–411. https://doi.org/10.1177/1094428107308985
  • Seçer, İ. (2015). Psikolojik test geliştirme ve uyarlama süreci: SPSS ve LISREL uygulamaları [Psychological test development and adaptation process: SPSS and LISREL applications]. Anı Publ.
  • Şahin, C. (2018). Social media addiction scale- student form: The reliability and validity study. TOJET: The Turkish Online Journal of Educational Technology, 17 (1), 169-182.
  • Şahin, C. (2020). Davranışsal bağımlılığa ve teknoloji bağımlılığına genel bir bakış [An overview of behavioral addiction and technology addiction]. In Cengiz, Ş. & Günüç, S (Ed.), Teknoloji Bağımlılıkları [Technology Addictions] (s. 1-21). Nobel.
  • Şahin, C. & Yağcı, M. (2017). Social media addiction scale- adult form: The reliability and validity study. Journal of the Faculty of Education (KEFAD), 18(1), 523-538.
  • Tabachnick, B. G. & Fidell, L. S. (2013). Using Multivariate Statistics (6th ed.). Boston, MA: Pearson.
  • Taş, İ. (2017). The study of validity and reliability of the social media addiction scale short form for adolescents. Online Journal of Technology Addiction & Cyberbullying, 4(1), 27-40.
  • Toraman, M. (2013). Investigation of the relationship of secondary school students' academic achievement with Internet addiction and social networking use levels (Unpublished master’s thesis). Fırat University, Turkey.
  • Tutgun-Ünal, A. (2015). Social media addiction: A Research on university students (Unpublished PhD Dissertation). Marmara University, Turkey.
  • Van Den Eijnden, R. J. J. M., Lemmens, J. S., & Valkenburg, P. M. (2016). The Social Media Disorder Scale. Computers in Human Behavior, 61, 478 487. https://doi.org/10.1016/j.chb.2016.03.038
  • We Are Social (2023). Global Dijital Raporu. https://wearesocial.com/uk/blog/2023/01/digital-2023/
  • We Are Social (2023a). Global Dijital Raporu. https://wearesocial.com/uk/blog/2023/01/the-changing-world-of-digital-in-2023/
  • We Are Social (2023b). Global Dijital Raporu. https://datareportal.com/reports/digital-2023-azerbaijan
  • Wilson K, Fornasier S & White, K. M. (2010). Psychological predictors of young adults' use of social networking sites. Cyberpsychology, Behavior and Social Networking, 13(2), 173-7. http://dx.doi.org/10.1089/cyber.2009.0094
  • Young, K.S. (1996). Internet addiction: The emergence of a new clinical disorder. Cyberpsychology and Behavior, 1(3), 237–244.
  • Zhang, M., Xu, P., & Ye, Y. (2022). Trust in social media brands and perceived media values: A survey study in China. Computers in Human Behavior, 127, 107024 https://doi.org/10.1016/j.chb.2021.107024
Year 2024, Volume: 11 Issue: 4, 37 - 58
https://doi.org/10.17275/per.24.48.11.4

Abstract

References

  • Acun, İ., Yücel, C., Belenkuyu, C., & Keleş, S. (2017). Examination of Social Media Use of University Students. Educational Administration Theory and Practice, 23(4), 559- 602.
  • Akram, W. & Kumar, R. (2017). A study on positive and negative effects of social media on society. International Journal of Computer Sciences and Engineering, 5(10), 351-354 https://doi.org/10.26438/ijcse/v5i10.351354
  • American Addiction Center (2019). Social Media Addiction. Retrieved January 11, 2023, from https://www.addictioncenter.com/drugs/social-media-addiction/
  • Andreassen, C.S., & Pallesen, S. (2014). Social network site addiction – An overview. Current Pharmaceutical Design, 20, 4053–61.
  • Ayğar, B. B. & Uzun B. (2018). Development the social media addiction scale: Validity and reliability studies. Addicta: The Turkish Journal on Addictions, 5(3), 1–19. http://dx.doi.org/10.15805/addicta.2018.5.3.0046
  • Balcı, A. (2009). Sosyal bilimlerde araştırma: Yöntem, teknik ve ilkeler [Research in social sciences: Methods, techniques and principles]. Pegem.
  • Balcı, H. & Korkmaz, Ö. (2020). Developing the attitude scale toward educational robotic education ın-class. Journal of Ahmet Keleşoğlu Education Faculty, 2(1), 84-99.
  • Barkhuus, L. & Tashiro, J. (2010). Student socialization in the age of facebook. Proceedings of the 28th International Conference on Human Factors in Computing Systems. https://doi.org/10.1145/1753326.1753347
  • Binark, M., Bayraktutan-Sütcü G., & Buçakçı, F. (2009). How Turkish young people utilize internet cafes: The results of ethnographic research in Ankara. Observatorio, 3(1), 286–310.
  • Brown, T. A. (2006). Confirmatory factor analysis for applied research. The Guilford Press.
  • Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen and J. S. Long (Eds.), Testing structural equation models (pp. 136-162), Sage.
  • Büyüköztürk, Ş., Kılıç Çakmak, E., Akgün, Ö.E., Karadeniz, Ş. & Demirel, F. (2016). Bilimsel araştırma yöntemleri [Scientific research methods]. Pegem.
  • Byrne, B. M. (2010). Structural equation modeling with AMOS: Basic concepts, applications, and programming (2nd ed.). Routledge/Taylor & Francis Group.
  • Creswell. J.W. & Creswell, J.D. (2017) Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. 4. Baskı, Sage, Newbury Park.
  • Dalamba, F. (2022). Pros and cons of social media. Retrieved May 9 2023, from https://www.lifespan.org/lifespan-living/social-media-good-bad-and-ugly
  • Doğan, U. & Karakaş, Y. (2016). Multi-dimensional loneliness as the predictor of high school students' social network sites (SNS) use. Sakarya University Journal of Education, 6(1), 57–71. http://dx.doi.org/10.19126/suje.40198
  • Erkuş, A. (2016). Problems in scale development and adaptation studies, writing and evaluation. Pegem Citation Index, 0, 1211-1224. http://dx.doi.org/10.14527/9786053183563.075
  • Fabrigar, L. R., Wegener, D. T., MacCallum, R. C., & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299. https://doi.org/10.1037/1082-989X.4.3.272
  • Fox, J. & Warber, K.M. (2013). Romantic relationship development in the age of facebook: an exploratory study of emerging adults’ perceptions, motives, and behaviors. Cyberpsychology, Behavior, and Social Networking, 16, 3–7.
  • Fraenkel, J. R., & Wallen, N. E. (2006). How to design and evaluate research in education (6th ed.). McGraw-Hill
  • Goldberg, L. R. (1999). A Broad-Bandwidth, Public Domain Personality Inventory Measuring the Lower-Level Facets of Several Five-Factor Models. In I. Mervielde, I. Deary, F. De Fruyt, & F. Ostendorf (Eds.), Personality Psychology in Europe, 7-28. Tilburg University Press.
  • Griffiths, M. D, Kuss, D. J, Billieux J. & Pontes, H.M. (2016). The evolution of internet addiction: A global perspective. Addictive Behaviors, 53, 193-195. https://doi.org/10.1016/j.addbeh.2015.11.001
  • Griffiths, M. D. (2000). Internet addiction — Time to be taken seriously? Addiction Research, 8, 413–418.
  • Jaafar, M. H., Arifin, K., Aiyub, K., Razman, M. R., & Kamaruddin, M. A. (2017). Human Element as the Contributing Factor Towards Construction Accidents from the Perspective of Malaysian Residential Construction Industry. Advances in Safety Management and Human Factors, 296–308. https://doi.org/10.1007/978-3-319-60525-8_31
  • Jöreskog, K. G., & Sörbom, D. (1993). LISREL 8: Structural equation modeling with the SIMPLIS command language. Scientific Software International; Lawrence Erlbaum Associates, Inc.
  • Kalaycı, Ş. (2009). SPSS Uygulamalı Çok Değişkenli İstatistik Teknikleri [SPSS Applied Multivariate Statistics Techniques]. Asil Publ.
  • Kerimova, M. & Günüç, S. (2016). Adaptation of internet addiction scale in Azerbaijani language: A validity-reliability and prevalence study, Journal of Education and Training Studies, 4(1). https://doi.org/10.11114/jets.v4i1.1105
  • Kietzmann J.H, Hermkens K & McCarthy I.P. (2011). Social media? Get serious! Understanding the functional building blocks of social media. Business Horizons, 54. 241- 251.
  • Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed.). Guilford Press.
  • Kuss, D. J., & Griffiths, M. D. (2012). Internet gaming addiction: A systematic review of empirical research. International Journal of Mental Health and Addiction, 10(2), 278–296. https://doi.org/10.1007/s11469-011-9318-5
  • Lazakidou, A. A. (Ed.). (2012). Virtual communities, social networks and collaboration. Annals of Information Systems, 15, 248 https://doi.org/10.1007/978-1-4614-3634-8
  • Looman, W.S. & Farrag, S. (2009). Psychometric properties and cross-cultural equivalence of the Arabic Social Capital Scale: Instrument development study. International Journal of Nursing Studies, 46(1), 44-53.
  • Marlatt, G. A., Baer, J. S., Donovan, D. M. & Kivlahan, D. R. (1988). Addictive behaviors: Etiology and treatment. Annual Review of Psychology, 39, 223–252.
  • Otrar, M. & Argın, F. S. (2015). A scale development study to determine the attıtude of students' towards social media. Journal of Research in Education and Teaching, 4(1), 391-403.
  • Raykov, T., & Marcoulides, G. A. (2006). A first course in structural equation modeling (2nd ed.). Mahwah, NJ: Lawrence Erlbaum. Organizational Research Methods, 11(2), 408–411. https://doi.org/10.1177/1094428107308985
  • Seçer, İ. (2015). Psikolojik test geliştirme ve uyarlama süreci: SPSS ve LISREL uygulamaları [Psychological test development and adaptation process: SPSS and LISREL applications]. Anı Publ.
  • Şahin, C. (2018). Social media addiction scale- student form: The reliability and validity study. TOJET: The Turkish Online Journal of Educational Technology, 17 (1), 169-182.
  • Şahin, C. (2020). Davranışsal bağımlılığa ve teknoloji bağımlılığına genel bir bakış [An overview of behavioral addiction and technology addiction]. In Cengiz, Ş. & Günüç, S (Ed.), Teknoloji Bağımlılıkları [Technology Addictions] (s. 1-21). Nobel.
  • Şahin, C. & Yağcı, M. (2017). Social media addiction scale- adult form: The reliability and validity study. Journal of the Faculty of Education (KEFAD), 18(1), 523-538.
  • Tabachnick, B. G. & Fidell, L. S. (2013). Using Multivariate Statistics (6th ed.). Boston, MA: Pearson.
  • Taş, İ. (2017). The study of validity and reliability of the social media addiction scale short form for adolescents. Online Journal of Technology Addiction & Cyberbullying, 4(1), 27-40.
  • Toraman, M. (2013). Investigation of the relationship of secondary school students' academic achievement with Internet addiction and social networking use levels (Unpublished master’s thesis). Fırat University, Turkey.
  • Tutgun-Ünal, A. (2015). Social media addiction: A Research on university students (Unpublished PhD Dissertation). Marmara University, Turkey.
  • Van Den Eijnden, R. J. J. M., Lemmens, J. S., & Valkenburg, P. M. (2016). The Social Media Disorder Scale. Computers in Human Behavior, 61, 478 487. https://doi.org/10.1016/j.chb.2016.03.038
  • We Are Social (2023). Global Dijital Raporu. https://wearesocial.com/uk/blog/2023/01/digital-2023/
  • We Are Social (2023a). Global Dijital Raporu. https://wearesocial.com/uk/blog/2023/01/the-changing-world-of-digital-in-2023/
  • We Are Social (2023b). Global Dijital Raporu. https://datareportal.com/reports/digital-2023-azerbaijan
  • Wilson K, Fornasier S & White, K. M. (2010). Psychological predictors of young adults' use of social networking sites. Cyberpsychology, Behavior and Social Networking, 13(2), 173-7. http://dx.doi.org/10.1089/cyber.2009.0094
  • Young, K.S. (1996). Internet addiction: The emergence of a new clinical disorder. Cyberpsychology and Behavior, 1(3), 237–244.
  • Zhang, M., Xu, P., & Ye, Y. (2022). Trust in social media brands and perceived media values: A survey study in China. Computers in Human Behavior, 127, 107024 https://doi.org/10.1016/j.chb.2021.107024
There are 50 citations in total.

Details

Primary Language English
Subjects Higher Education Studies (Other)
Journal Section Research Articles
Authors

Aydan Malikova 0009-0006-2936-4395

Cengiz Şahin 0000-0003-4875-4883

Early Pub Date July 3, 2024
Publication Date
Submission Date April 15, 2024
Acceptance Date May 21, 2024
Published in Issue Year 2024 Volume: 11 Issue: 4

Cite

APA Malikova, A., & Şahin, C. (2024). Adaptation of the Social Media Addiction Scale into Azerbaijani Turkish: Validity and Reliability Study. Participatory Educational Research, 11(4), 37-58. https://doi.org/10.17275/per.24.48.11.4