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Sosyal Medya Bozukluğu ile İlgili Yaşam Doyumu ve Psikolojik Dayanıklılıkta Arabulucu Faktörler Olarak Kişilik Özelliklerinin Yol Analiz Modeli

Year 2019, Volume: 6 Issue: 2, 17 - 35, 31.12.2019

Abstract

Psikolojik
ve davranışsal sorunlara yol açan sosyal medya platformlarının artan kullanımı,
sosyal medya bozukluğunun diğer psikolojik yapılarla arasındaki nomolojik ağın
arttırılmasına yönelik çalışmaların gerçekleştirilmesini önermektedir. Bu
araştırmanın temel amacı, sağlamlık ve yaşam doyumunun sosyal medya bozukluğu
üzerindeki etkisini incelemek ve nevrotiklik, olumsuz değerlilik ve deneyime
açıklığın aracı rolünü belirlemektir Bu araştırma için seçilen değişkenler son
çalışmaların kuramsal açıklamalarına dayanmaktadır. Üniversite öğrencileri için
sosyal medya kullanım bozukluğunu ölçecek bir ölçek bulunmamasından dolayı,
İngilizce dilinde mevcut bir ölçeğin güvenilirliği ve geçerlilik çalışması
yapılmıştır. Daha sonra, bir yol analiz modeli oluşturularak bu model test
edilmiştir. Modelin test edilmesinde kullanılan veri 9 fakültede öğrenim gören
638 öğrencinin görüşlerine başvurularak toplanmıştır. Çalışma sonucunda elde
edilen bulgulara göre nevrotiklik, olumsuz değerlilik, dayanıklılık ve yaşam
doyumunun üniversite öğrencileri arasında sosyal medya bozukluğunu doğrudan
etkilediğine dair kanıtlar oluşturduğu görülmüştür. Ek olarak, sonuçlar,
nevrotikliğin ve negatif değerliliğin bazı durumlar için aracı bir rol
oynadığını göstermiştir. Bu sonuçlar araştırmacılara ve sağlık çalışanları
tarafından sosyal medya bozukluklarının daha iyi anlaşılması sağlamıştır ve
sosyal medya bozukluğunun olumsuz etkilerini en aza indirmek için müdahaleler
geliştirirken kişilik özelliklerinin önemini dikkate almayı vurgulamaktadır.

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Path Analytic Model of Social Media Disorder Related to Life Satisfaction and Resilience with Personality Traits as Mediating Factors

Year 2019, Volume: 6 Issue: 2, 17 - 35, 31.12.2019

Abstract

Increased
use of social media platforms that result in psychological and behavioral
problems suggest an effort to increase nomological network of social media
disorder with psychological constructs. The main purpose of this research was
to test the effect of resilience and satisfaction with life on social media
disorder and mediating role of the neuroticism, negative valence and openness
to experience. The variables selected for this research are based on
theoretical explanations of recent studies. Due to the lack of a scale to
measure social media use disorder for university students, reliability and
validy study of an existing scale available in English was performed primarily.
Later, a path analytic model was constructed and tested. The model was tested with
a sample of 638 students from 9 different faculties. The conclusions drawn from
this study are substantial, in sum, this study generated evidence that
neuroticism, negative valence, resilience and life satisfaction have direct
influence on social media disorder among university students. In addition, the
results indicated that neuroticism and negative valence plays a mediating role
for some circumstances. These conclusions offer researchers and health
professionals’ better understanding of social media disorders and stresses on
the importance of personality traits when developing interventions to minimize
the negative effects of social media disorder. 

References

  • Amichai-Hamburger, Y., & Vinitzky, G. (2010). Social network use and personality. Computers in Human Behavior, 26(6), 1289-1295.
  • 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.
  • Andreassen, C. S., Torsheim, T., Brunborg, G. S., & Pallesen, S. (2012). Development of a Facebook Addiction Scale. Psychological Reports, 110(2), 501-517.
  • Awang, Z. (2012). Structural Equation Modeling Using Amos Graphic. UITM Press.
  • Barker, V. (2009). Older adolescents’ motivations for social network site use: The influence of gender, group identity, and collective self-esteem. CyberPsychology & Behavior, 12(2), 209-213.
  • Błachnio, A., & Przepiorka, A. (2015). Dysfunction of Self-Regulation and Self-Control in Facebook Addiction. The Psychiatric quarterly, 87(3), 493-500.
  • Burrow, A. L., & Rainone, N. (2017). How many likes did I get?: Purpose moderates links between positive social media feedback and self-esteem. Journal of Experimental Social Psychology, 69, 232-236.
  • Campbell-Sills, L., Cohan, S.L., & Stein, M.B. (2006). Relationship of resilience to personality, coping, and psychiatric symptoms in young adults. Behaviour research and therapy, 44 4, 585-99.
  • Caplan, S. E. (2007). Relations among loneliness, social anxiety, and problematic Internet use. Cyberpsychology & Behavior: the Impact of the Internet, Multimedia and Virtual Reality On Behavior and Society, 10(2), pp. 234-42.
  • Čukić, I., & Bates, T.C. (2014). Openness to experience and aesthetic chills : Links to heart rate sympathetic activity. Personality and Individual Differences, 64(0): 152-156.
  • Curun, F. (2001). The effects of sexism and sex role orientation on romantic relationship satisfaction. Unpublished master’s thesis, Middle East Technical University, Ankara.
  • Davis, R. A. (2001). A cognitive–behavioral model of pathological Internet use. Computers in Human Behavior, 17(2), 187-195.
  • Derbyshire, K. L., Lust, K. A., Schreiber, L. R., Odlaug, B. L., Christenson, G. A., Golden, D. J., & Grant, J. E. (2013). Problematic Internet use and associated risks in a college sample. Comprehensive psychiatry, 54(5), 415-422.
  • Diener, E., Emmons, R. A., Larsen, R. J., & Griffin, S. (1985). The Satisfaction with Life Scale. Journal of Personality Assessment, 49, 71-75.
  • Durak, M., Senol-Durak, E. & Gencoz, T. (2010). Psychometric properties of the satisfaction with life scale among Turkish university students, correctional officers, and elderly adults. Social Indicators Research, 99, 413-429.
  • Elphinston, R.A., & Noller, P. (2011). Time to Face It! Facebook Intrusion and the Implications for Romantic Jealousy and Relationship Satisfaction. Cyberpsychology, behavior and social networking, 14 11, 631-5.
  • Gençöz, T., & Öncül, Ö. (2012). Examination of personality characteristics in a Turkish sample: development of Basic Personality Traits Inventory. The Journal of general psychology, 139 3, 194-216.
  • Griffiths, M. (2005). A 'components' model of addiction within a biopsychosocial framework. Journal of Substance Use, 10(4), 191-197.
  • Griffiths, M.D., Hussain, Z., Grüsser, S., Thalemann, R., Cole, H. Davies, M.N.O. & Chappell, D. (2013). Social interactions in online gaming. In P. Felicia (Ed.), Developments in Current Game-Based Learning Design and Deployment (pp.74-90). Pennsylvania: IGI Global.
  • 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). Elsevier Inc.. https://doi.org/10.1016/B978-0-12-407724-9.00006-9
  • Global Digital Reports (2019). Retrieved from https://wearesocial.com/global-digital-report-2019 in Januart 21, 2019.
  • Guadagno, R.E., Okdie, B.M. and Eno, C.A. (2008). Who blogs? Personality predictors of blogging. Computers in Human Behavior. 24(5): 1993-2004.
  • Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data Analysis (7th Edition). NJ: Prentice Hall.
  • Hambleton, R. (2001). The next generation of the ITC Test translation and adaptation guidelines. European Journal of Psychological Assessment, 17, 164–172.
  • Hawi, N. S., & Samaha, M. (2017). The Relations Among Social Media Addiction, Self-Esteem, and Life Satisfaction in University Students. Social Science Computer Review, 35(5), 576–586.
  • Hendrick, S. S. (1988). A generic measure of relationship satisfaction. Journal of Marriage and the Family, 93-98.
  • Herringer, L. G. (1998). Facets of extraversion related to life satisfaction. Personality and Individual Differences, 24(5), 731-733.
  • Hosseinkhanzadeh, A. & Taher, M. (2013). The Relationship between Personality Traits with Life Satisfaction. Sociology Mind, 3, 99-105. doi: 10.4236/sm.2013.31015.
  • Hou, X.-L., Wang, H.-Z., Guo, C., Gaskin, J., Rost, D. H., & Wang, J.-L. (2017). Psychological resilience can help combat the effect of stress on problematic social networking site usage. Personality and Individual Differences, 109, 61-66.
  • Kostic, O. J., Pedović, I. & Panić, T.. (2018). Problematic Internet Use among Adolescents: Psychometric Properties of the Index of Problematic Online Experiences (I-POE). Temida. 21. 207-227.
  • Kross E, Verduyn P, Demiralp E, et al. (2013). Facebook use predicts declines in subjective well-being in young adults. PloS One 2013; 8:e69841.
  • Kuss, D. J., Griffiths, M. D., & Binder, J. F. (2013a). Internet addiction in students: Prevalence and risk factors. Computers in Human Behavior, 29(3), 959–966.
  • Kuss, D.J. & Griffiths, M.D. (2011). Addiction to social networks on the internet: A literature review of empirical research. International Journal of Environment and Public Health, 8, 3528-3552.
  • Kuss, D.J., Griffiths, M.D., Karila, L. & Billieux, J. (2014). Internet addiction: A systematic review of epidemiological research for the last decade. Current Pharmaceutical Design, 20, 4026-4052.
  • Lepp, A., Barkley, J. E. &Karpinski, A.C. (2014). The relationship between cell phone use, academic performance, anxiety, and Satisfaction with Life in college students, Computers in Human Behavior 31 (2014) 343–350
  • Lounsbury, J.W. (2004). An Investigation of Personality Traits in Relation to Intention to Withdraw From College. Journal of College Student Development, 45, 517-534.
  • Makaya, M., Oshio, A., & Kaneko, H. (2006). Correlations for adolescent resilience scale with big five personality traits. Psychological Reports, 98(3), 927-930.
  • Muthén, L. K., & Muthén, B. O. (1998-2012). Mplus User’s Guide: Statistical Analysis with Latent Variables (7th ed.). Los Angeles, CA: Muthén & Muthén.
  • Narayanan, A. (2008). The Resilient Individual: A Personality Analysis. Journal of the Indian Academy of Applied Psychology. (Vol. 34, pp. 110-118).
  • Pantic, I. (2014). Online social networking and mental health. Cyberpsychology, Behavior, and Social Networking, 17(10), 652-657.
  • Schimmack, U., Oishi, S., Furr, R. M., & Funder, D. C. (2004). Personality and Life Satisfaction: A Facet-Level Analysis. Personality and Social Psychology Bulletin, 30(8), 1062-1075.
  • Smith, B. W., Dalen, J., Wiggins, K., Tooley, E., Christopher, P., & Jennifer Bernard, J. (2008). The brief resilience scale: Assessing the ability to bounce back. International Journal of Behavioral Medicine, 15, 194–200.
  • Sobel, M. E. (1982). Asymptotic intervals for indirect effects in structural equations models. In S. Leinhart (Ed.), Sociological methodology 1982 (pp.290-312). San Francisco: Jossey-Bass.
  • SPSS: IBM Corp. Released (2012). IBM SPSS Statistics for Windows, Version 21.0. Armonk, NY: IBM Corp.
  • Tang, J. M. Chen, C. Yang, T. Chung, L. et al., (2016). Personality traits, interpersonal relationships, online social support, and Facebook addiction, Telematics and Informatics, 33(1): 102-108.
  • Tokunaga, R. S., & Rains, S. A. (2010). An evaluation of two characterizations of the relationships between problematic Internet use, time spent using the Internet, and psychosocial problems. Human Communication Research, 36, 512–545. doi:10.1111/j.1468-2958.2010.01386.x
  • Valenzuela, S., & Kee, K. F. (2009). Is There Social Capital in a Social Network Site?: Facebook Use and College Students' Life Satisfaction, Trust, and Participation. Journal of Computer-mediated Communication, 14(4), 875-901. doi:10.1111/j.1083-6101.2009.01474.x
  • Van den Eijnden, R.J.J.M., Lemmens, J.S. ve Valkenburg, P.M. (2016). The social media disorder scale. Computer in Human Behavior, 61, 478-487.
  • Van Rooij AJ, Prause N (2014). A critical review of “Internet addiction” criteria with suggestions for the future. Journal of Behavioral Addictions 3, 4, 203-213.
  • Wang P, Wang X, Wu Y, et al. (2018) Social networking sites addiction and adolescent depression: A moderated mediation model of rumination and self-esteem. Personality and Individual Differences 127: 162–167.
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There are 71 citations in total.

Details

Primary Language Turkish
Subjects Studies on Education
Journal Section Makaleler
Authors

Akif Avcu 0000-0003-1977-7592

Enver Ulaş 0000-0002-1881-7014

Erdem Sevim 0000-0002-8887-6060

Publication Date December 31, 2019
Submission Date April 7, 2019
Published in Issue Year 2019 Volume: 6 Issue: 2

Cite

APA Avcu, A., Ulaş, E., & Sevim, E. (2019). Sosyal Medya Bozukluğu ile İlgili Yaşam Doyumu ve Psikolojik Dayanıklılıkta Arabulucu Faktörler Olarak Kişilik Özelliklerinin Yol Analiz Modeli. Online Journal of Technology Addiction and Cyberbullying, 6(2), 17-35.