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Üniversitenin Farklı Sınıflarına Göre Öğrenciler Arasında Algılanan Sosyal Medya Bağımlılığı Farklılıkları

Year 2022, Volume: 9 Issue: 2, 72 - 85, 30.12.2022

Fatima Zehra Allahverdi

Abstract

Bu çalışmada, üniversitede farklı yıllara göre öğrenim gören öğrenciler arasında algılanan sosyal medya bağımlılığında bir fark olup olmadığını anlamak için bir ANOVA varyans analizi uygulanmıştır. Bu çalışmada birinci, ikinci, üçüncü ve dördüncü sınıflar ayrı ayrı incelenmiştir. Giderek artan bir şekilde, birçok araştırmacı sosyal medyanın aşırı kullanımını, davranışsal olmayan bağımlılıklara benzer bir bağımlılık olarak görmektedir. Ayrıca davranışsal bağımlılıkların belirtileri de uyuşturucu bağımlılığı gibi davranışsal olmayan bağımlılıklara benzemektedir. Genel olarak sosyal medya bağımlılığının arttığı görülmüştür. Bu çalışmada, algılanan sosyal medya bağımlılığındaki farklılıkları belirlemek için lisans yıllarının her biri ayrı ayrı incelemiştir. Ayrıca bu alanda yetirince araştırma yapılmayan Körfez Bölgesi'nden gelen verilerden yararlanılması nedeniyle, sosyal medya alanında literatüre katkıda bulunmaktadır. Birinci sınıf öğrencileri, algılanan sosyal medya bağımlılığı için en yüksek ortalamaya sahiptir. Ayrıca bunların yüzde 75'inin sosyal medyaya bağımlı oldukları düşünülmektedir. Gruplar arası bağımsız bir ANOVA kullanılarak, istatistiksel olarak anlamlı bir etki bulunmuştur. Sosyal medya bağımlılığı inancındaki varyansın yüzde 3.1'i üniversite yılına göre açıklanmaktadır. Scheffe post-hoc testi kullanılarak, belirli üniversite yılları arasında istatistiksel olarak anlamlı bir sonuç bulunmuştur. Sonraki çalışmalarda bu farklılıkların nedenlerine niteliksel olarak bakılabilir.

Keywords

Sosyal medya bağımlılığı algısı üniversite sınıflarına göre karşılaştırma ANOVA

References

  • Allahverdi, F.Z. (2021a). A comparison of the different engineering majors in relation to perceived social media addiction. Asian Journal of Research in Education and Social Sciences, 3(2), 197-201.
  • Allahverdi, F.Z. (2021b). Social science students perceive themselves as more addicted to social media compared to science students. International Journal of Advanced Research in Education and Society, 3(2), 197-201.
  • Allahverdi, F.Z. (2021c). The relationship between the items of the social media disorder scale and perceived social media addiction. Current Psychology, https://doi.org/10.1007/s12144-020-01314-x
  • Allahverdi, F.Z. (2022a). Relationship between perceived social media addiction and social media applications frequency usage among university students. Psychology in the Schools, https://doi.org/10.1002/pits.22662
  • Allahverdi, F.Z. (2022b). Trait boredom and perceived social media addiction relationship. Journal of Positive School Psychology, 6(2), 5024-5036.
  • Alnjadat, R., Hmaidi, M.M., Samha, T.E., Kilani, M.M., Hasswan, A.M. (2019). Gender variations in social media usage and academic performance among the students of University of Sharjah. Journal of Taibah University Medical Sciences, 14(4), p.390-394.
  • Banerjee, S., & Hodge, A. (2007). Internet Usage: A Within Race Analysis. Race, Gender & Class, 14(3/4), 228–246. http://www.jstor.org/stable/41675301
  • Cotten, S.R. (2008). Students’ technology use and the impacts on well-being. New Directions for Student Services, 124, 55-70.
  • Davey, S., Davey, A., Raghav, S.K., Singh, J.V., Singh, N., Blachnio, A., & Przepiorkaa, A. (2018). Predictors and consequences of “Phubbing” among adolescents and youth in India: An impact evaluation study. Journal of Family and Community Medicine, 25(1), 35-42.
  • Emerson, R. W. (2015). Convenience Sampling, Random Sampling, and Snowball Sampling: How Does Sampling Affect the Validity of Research? Journal of Visual Impairment & Blindness, 109(2), 164–168.
  • Eijnden, R.J.V.D., Lemmens, J.S., & Valkenburg, P.M. (2016). The social media disorder scale. Computers in Human Behavior, 61, 478-487.
  • Erfanmanesh, M., & Hosseini, E. (2015). Book review: Internet and social media addiction. Webology, 12(2), 1-3. Fatayer, J. (2008). Addiction Types: A Clinical Sociology Perspective. Journal of Applied Social Science, 2(1), 88–93. http://www.jstor.org/stable/23549240
  • Gardner, J.M., & McKee, P.H. (2019). Social media use for pathologists of all ages. Ach Pathol Lab Med, 143, 282-286.
  • Grau, S., Kleiser, S, & Bright, L. (2019). Exploring social media addiction among student Millennials. Qualitative Market Research: An International Journal, 22(2), 200-216.
  • Greenwood, S., Perrin, A., & Duggan, M. (2016). Social media update 2016. Retrieved from www.pewinterent.org. Accessed 20 Jan 2021.
  • Griffiths, M. (2005). A ‘components’ model of addiction within a biopsychosocial framework. Journal of Substance Use, 10(4), 191-197.
  • Kemp, S. (2017). Digital in 2017: Global overview. Retrieved from https://wearesocial.com/special-reports/digital-in-2017-global-overview. Accessed 12 Nov 2020.
  • Kircaburun, 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.
  • Kircaburun, K. & Griffiths, M.D. (2018). Instagram addiction and the Big Five personality: The mediating role of self-liking. Journal of Behavioral Addictions, 7(1), 158-170.
  • Kircaburun, K., Alhabash, S., Tosuntas, S.B., & Griffiths, M.D. (2020). Use and gratification of problematic social media use among university students: A simultaneous examination of the Big Five personality traits, social media platforms, and social media use motives. International Journal of Mental Health and Addiction, 18, 525-547.
  • Klobas, J.E., McGill, T.J., Moghavvemi, S., & Paramanathan, T. (2018). Compulsive YouTube usage: A comparison of use motivation and personality effects. Computers in Human Behavior, 87, 129-139.
  • Kuss, D. & Griffiths, M.D. (2017). Social networking sites and addiction: Ten lessons learned. International Journal of Environmental Research and Public Health, 14(3), 311.
  • Mahamid, F.A., & Berte, D.Z. (2019). Social media addiction in geopolitically at-risk youth. International Journal of Mental Health and Addiction, 17(1), 102-111.
  • Martin, I., Kamin, M., Pirouz, D., Davis, S.W., Haws, K., Mirabito, A.M., Mukerjee, S., Rapp, J. & Griver, A. (2013). On the road to addiction: The facilitative and preventive roles of marketing cues. Journal of Business Research, 66(8), 1219-1226.
  • Mertler, C.A., & Vannatta, R.A. (2010). Advanced and multivariate statistical methods: Practical application and interpretation. Glendale, California: Pyrczak.
  • Rideout, V. (2012). Children, teens, and entertainment media: The view from the classroom. Retrieved from www.commonsensemedia.org. Accessed 12 Oct 2020.
  • Sampasa-Kanyinga, H., & Lewis, R. F. (2015). Frequent use of social networking sites is associated with poor psychological functioning among children and adolescents. Cyberpsychology. Behavior and Social Networking, 18(7), 380– 385.
  • Settanni M. , Marengo D. , Fabris M.A., & Longobardi C. (2018) The interplay between ADHD symptoms and time perspective in addictive social media use: A study on adolescent Facebook users. Children and Youth Services Review, 89, 165–170.
  • Shimoga, S.V., Erlyana, E., & Rebello, V. (2019). Associations of social media use with physical activity and sleep adequacy among adolescents: Cross-sectional survey. Journal of Medical Internet Research, 21(6), 1-9.
  • Simsek, A., Elciyar, K., & Kizilhan, T. (2019). A comparative study on social media addiction of high school and university students. Contemporary Educational Technology, 10(2), p.106-119.
  • Turel, O., Serenko, A., & Giles, P. (2011). Integrating Technology Addiction and Use: An Empirical Investigation of Online Auction Users. MIS Quarterly, 35(4), 1043–1061. https://doi.org/10.2307/41409972
  • Wang, C., Lee, M.K.O., & Hua, Z. (2015). A theory of social media dependence: Evidence from microblog users. Decision Support Systems, 69, 40-49.
  • Yildiz Durak, H., & Tekin, E. (2020). Examination of social media use of the adults over the age of 50. Bartin University Journal of Faculty of Education, 9(2), 427-439.
  • Young, B. (2006). A Study on the Effect of Internet Use and Social Capital on the Academic Performance. Development and Society, 35(1), 107–123. http://www.jstor.org/stable/deveandsoci.35.1.107
  • Zivnuska, S., Carlson, J.R., Carlson, D.S., Harris, R.B., & Harris, K.J. (2019). Social media addiction and social media reactions: The implications for job performance. The Journal of Social Psychology, 159(6), 746-760.

Perceived Social Media Addiction Differences by Student University Year

Year 2022, Volume: 9 Issue: 2, 72 - 85, 30.12.2022

Fatima Zehra Allahverdi

Abstract

The present study implemented an ANOVA analysis of variance to deduce if there is a difference in perceived social media addiction between students in different university years. The university years examined were the following: Freshman, Sophomore, Junior, and Senior. Increasingly, many researchers view the overuse of social media consumption as an addiction, similar to non-behavioral addictions. Moreover, the symptoms of behavioral addictions are also similar to non-behavioral addictions, such as drug addictions. It has been reported that social media addiction is on the rise. The present study examined each of the bachelor years separately to determine differences in perceived social media addiction. The present study adds to the literature in the area of social media due to utilizing data from the Gulf of the Middle East, an area where there is a lack of research. Freshman students had the highest mean for perceived social media addiction, with 75% thinking they are addicted to social media. A statistically significant effect was found utilizing an independent between-groups ANOVA, with 3.1% of the variance in belief of social media addiction accounted for by university year. A statistically significant result was found between certain university years, utilizing a Scheffe post-hoc test. Future studies can qualitatively look at the reasons for these differences.

Keywords

Perceived social media addiction University Year ANOVA

References

  • Allahverdi, F.Z. (2021a). A comparison of the different engineering majors in relation to perceived social media addiction. Asian Journal of Research in Education and Social Sciences, 3(2), 197-201.
  • Allahverdi, F.Z. (2021b). Social science students perceive themselves as more addicted to social media compared to science students. International Journal of Advanced Research in Education and Society, 3(2), 197-201.
  • Allahverdi, F.Z. (2021c). The relationship between the items of the social media disorder scale and perceived social media addiction. Current Psychology, https://doi.org/10.1007/s12144-020-01314-x
  • Allahverdi, F.Z. (2022a). Relationship between perceived social media addiction and social media applications frequency usage among university students. Psychology in the Schools, https://doi.org/10.1002/pits.22662
  • Allahverdi, F.Z. (2022b). Trait boredom and perceived social media addiction relationship. Journal of Positive School Psychology, 6(2), 5024-5036.
  • Alnjadat, R., Hmaidi, M.M., Samha, T.E., Kilani, M.M., Hasswan, A.M. (2019). Gender variations in social media usage and academic performance among the students of University of Sharjah. Journal of Taibah University Medical Sciences, 14(4), p.390-394.
  • Banerjee, S., & Hodge, A. (2007). Internet Usage: A Within Race Analysis. Race, Gender & Class, 14(3/4), 228–246. http://www.jstor.org/stable/41675301
  • Cotten, S.R. (2008). Students’ technology use and the impacts on well-being. New Directions for Student Services, 124, 55-70.
  • Davey, S., Davey, A., Raghav, S.K., Singh, J.V., Singh, N., Blachnio, A., & Przepiorkaa, A. (2018). Predictors and consequences of “Phubbing” among adolescents and youth in India: An impact evaluation study. Journal of Family and Community Medicine, 25(1), 35-42.
  • Emerson, R. W. (2015). Convenience Sampling, Random Sampling, and Snowball Sampling: How Does Sampling Affect the Validity of Research? Journal of Visual Impairment & Blindness, 109(2), 164–168.
  • Eijnden, R.J.V.D., Lemmens, J.S., & Valkenburg, P.M. (2016). The social media disorder scale. Computers in Human Behavior, 61, 478-487.
  • Erfanmanesh, M., & Hosseini, E. (2015). Book review: Internet and social media addiction. Webology, 12(2), 1-3. Fatayer, J. (2008). Addiction Types: A Clinical Sociology Perspective. Journal of Applied Social Science, 2(1), 88–93. http://www.jstor.org/stable/23549240
  • Gardner, J.M., & McKee, P.H. (2019). Social media use for pathologists of all ages. Ach Pathol Lab Med, 143, 282-286.
  • Grau, S., Kleiser, S, & Bright, L. (2019). Exploring social media addiction among student Millennials. Qualitative Market Research: An International Journal, 22(2), 200-216.
  • Greenwood, S., Perrin, A., & Duggan, M. (2016). Social media update 2016. Retrieved from www.pewinterent.org. Accessed 20 Jan 2021.
  • Griffiths, M. (2005). A ‘components’ model of addiction within a biopsychosocial framework. Journal of Substance Use, 10(4), 191-197.
  • Kemp, S. (2017). Digital in 2017: Global overview. Retrieved from https://wearesocial.com/special-reports/digital-in-2017-global-overview. Accessed 12 Nov 2020.
  • Kircaburun, 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.
  • Kircaburun, K. & Griffiths, M.D. (2018). Instagram addiction and the Big Five personality: The mediating role of self-liking. Journal of Behavioral Addictions, 7(1), 158-170.
  • Kircaburun, K., Alhabash, S., Tosuntas, S.B., & Griffiths, M.D. (2020). Use and gratification of problematic social media use among university students: A simultaneous examination of the Big Five personality traits, social media platforms, and social media use motives. International Journal of Mental Health and Addiction, 18, 525-547.
  • Klobas, J.E., McGill, T.J., Moghavvemi, S., & Paramanathan, T. (2018). Compulsive YouTube usage: A comparison of use motivation and personality effects. Computers in Human Behavior, 87, 129-139.
  • Kuss, D. & Griffiths, M.D. (2017). Social networking sites and addiction: Ten lessons learned. International Journal of Environmental Research and Public Health, 14(3), 311.
  • Mahamid, F.A., & Berte, D.Z. (2019). Social media addiction in geopolitically at-risk youth. International Journal of Mental Health and Addiction, 17(1), 102-111.
  • Martin, I., Kamin, M., Pirouz, D., Davis, S.W., Haws, K., Mirabito, A.M., Mukerjee, S., Rapp, J. & Griver, A. (2013). On the road to addiction: The facilitative and preventive roles of marketing cues. Journal of Business Research, 66(8), 1219-1226.
  • Mertler, C.A., & Vannatta, R.A. (2010). Advanced and multivariate statistical methods: Practical application and interpretation. Glendale, California: Pyrczak.
  • Rideout, V. (2012). Children, teens, and entertainment media: The view from the classroom. Retrieved from www.commonsensemedia.org. Accessed 12 Oct 2020.
  • Sampasa-Kanyinga, H., & Lewis, R. F. (2015). Frequent use of social networking sites is associated with poor psychological functioning among children and adolescents. Cyberpsychology. Behavior and Social Networking, 18(7), 380– 385.
  • Settanni M. , Marengo D. , Fabris M.A., & Longobardi C. (2018) The interplay between ADHD symptoms and time perspective in addictive social media use: A study on adolescent Facebook users. Children and Youth Services Review, 89, 165–170.
  • Shimoga, S.V., Erlyana, E., & Rebello, V. (2019). Associations of social media use with physical activity and sleep adequacy among adolescents: Cross-sectional survey. Journal of Medical Internet Research, 21(6), 1-9.
  • Simsek, A., Elciyar, K., & Kizilhan, T. (2019). A comparative study on social media addiction of high school and university students. Contemporary Educational Technology, 10(2), p.106-119.
  • Turel, O., Serenko, A., & Giles, P. (2011). Integrating Technology Addiction and Use: An Empirical Investigation of Online Auction Users. MIS Quarterly, 35(4), 1043–1061. https://doi.org/10.2307/41409972
  • Wang, C., Lee, M.K.O., & Hua, Z. (2015). A theory of social media dependence: Evidence from microblog users. Decision Support Systems, 69, 40-49.
  • Yildiz Durak, H., & Tekin, E. (2020). Examination of social media use of the adults over the age of 50. Bartin University Journal of Faculty of Education, 9(2), 427-439.
  • Young, B. (2006). A Study on the Effect of Internet Use and Social Capital on the Academic Performance. Development and Society, 35(1), 107–123. http://www.jstor.org/stable/deveandsoci.35.1.107
  • Zivnuska, S., Carlson, J.R., Carlson, D.S., Harris, R.B., & Harris, K.J. (2019). Social media addiction and social media reactions: The implications for job performance. The Journal of Social Psychology, 159(6), 746-760.
There are 35 citations in total.

Details

Primary Language English
Subjects Studies on Education
Journal Section Makaleler
Authors

Fatima Zehra Allahverdi 0000-0003-1029-8237

Publication Date December 30, 2022
Submission Date April 25, 2022
Published in Issue Year 2022 Volume: 9 Issue: 2

Cite

APA Allahverdi, F. Z. (2022). Perceived Social Media Addiction Differences by Student University Year. Online Journal of Technology Addiction and Cyberbullying, 9(2), 72-85.