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Current Psychology

, Volume 37, Issue 1, pp 128–138 | Cite as

Students’ Wellbeing, Fear of Missing out, and Social Media Engagement for Leisure in Higher Education Learning Environments

  • Dorit AltEmail author
Article

Abstract

This study was aimed at assessing the assumption that maladjustment to college could lead some toward excessive social media engagement for leisure during class. Moreover, the mediating role of a new phenomenon termed fear of missing out (FoMO) linking maladjustment to college life to social media engagement was examined for the first time. Data were gathered from 290 undergraduate students. Path analysis results showed that the maladjustment to college variable is linked to social media use only insofar as it is linked to FoMO. This study lends credence to previous work by showing the robust mediating role of FoMO in explaining social media use during lectures.

Keywords

Higher education Social media engagement Fear of missing out Adjustment to college Structural equation modeling 

Notes

Compliance with Ethical Standards

Funding

This study was not funded.

Conflict of Interest

The author declares that he/she has no conflict of interest.

Ethical Approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed Consent

Informed consent was obtained from all individual participants included in the study.

References

  1. Alavi, S. S., Maracy, M. R., Jannatifard, F., & Eslami, M. (2011). The effect of psychiatric symptoms on the internet addiction disorder in Isfahan’s university students. Journal of Research in Medical Sciences. The official journal of Isfahan University of Medical Sciences, 16(6), 793–800.Google Scholar
  2. Alt, D. (2015a). College students’ academic motivation, media engagement and fear of missing out. Computers in Human Behavior, 49, 111–119.Google Scholar
  3. Alt, D. (2015b). Using structural equation modeling and multidimensional scaling to assess female college students’ academic adjustment as a function of perceived parenting styles. Current Psychology. doi: 10.1007/s12144-015-9320-3.
  4. Alt, D., & Geiger, B. (2012). Goal orientations and tendency to neutralize academic cheating: An ecological perspective. Psychological Studies, 57(4), 404–416.Google Scholar
  5. Aspelmeier, J. E., Love, M. M., Mcgill, L. A., Elliott, A. N., & Pierce, T. W. (2012). Self-esteem, locus of control, college adjustment, and GPA among first- and continuing-generation students: A moderator model of generational status. Research in Higher Education, 53(7), 755–781.CrossRefGoogle Scholar
  6. Baker, R. W., & Siryk, B. (1984). Measuring adjustment to college. Journal of Counseling Psychology, 31, 179–189.CrossRefGoogle Scholar
  7. Baker, R. W., & Siryk, B. (1989). Student Adaptation to College Questionnaire Manual. Los Angeles: Western Psychological Services.Google Scholar
  8. Bentler, P. M. (2006). EQS 6 Structural Equations Program Manual. Encino: Multivariate Software, Inc..Google Scholar
  9. Bowman, N. D. (2016). The rise (and refinement) of moral panic. In R. Kowert & T. Quandt (Eds.), The video game debate: Unraveling the physical, social, and psychological effects of digital games (pp. 22–38). New York: Routledge.Google Scholar
  10. Collin, P., Rahilly, K., Richardson, I., & Third, A. (2011). The benefits of social networking services: A literature review. Cooperative research centre for young people. Melbourne: Technology and Wellbeing.Google Scholar
  11. Credé, M., & Niehorster, S. (2012). Adjustment to college as measured by the student adaptation to college questionnaire: A quantitative review of its structure and relationships with correlates and consequences. Educational Psychology Review, 24(1), 133–165.CrossRefGoogle Scholar
  12. Deci, E. L., & Ryan, R. M. (1985). Intrinsic motivation and self-determination in human behavior. New York: Plenum.CrossRefGoogle Scholar
  13. Deci, E. L., & Ryan, R. M. (2008). Self-determination theory: A macrotheory of human motivation, development, and health. Canadian Psychology, 49(3), 182–185.CrossRefGoogle Scholar
  14. Ferguson, C. J. (2013). Violent video games and the supreme court: lessons for the scientific community in the wake of Brown v EMA. American Psychologist, 68(2), 57–74.CrossRefPubMedGoogle Scholar
  15. Gemmill, E., & Peterson, M. (2006). Technology use among college students: Implications for student affairs professionals. NASPA Journal, 43(2), 280–300.CrossRefGoogle Scholar
  16. Kellner, S. (2013, January 13). Is FOMO depriving us of our ability to exist in the present and take pleasure in the here and now? The Independent. Retrieved from http://www.independent.co.uk/voices/comment/is-fomo-depriving-us-of-our-ability-to-exist-in-the-present-and-take-pleasure-in-the-here-and-now-8449677.html
  17. Kietzmann, J. H., Hermkens, K., McCarthy, I. P., & Silvestre, B. S. (2011). Social media? Get serious! Understanding the functional building blocks of social media. Business Horizons, 54, 241–251.CrossRefGoogle Scholar
  18. Kim, E. J., Namkoong, K., Ku, T., & Kim, S. J. (2008). The relationship between online game addiction and aggression, self-control and narcissistic personality traits. European Psychiatry, 23(3), 212–218.CrossRefPubMedGoogle Scholar
  19. Lidy, K. M., & Kahn, J. H. (2006). Personality as a predictor of first-semester adjustment to college: The mediational role of perceived social support. Journal of College Counseling, 9, 123–134.CrossRefGoogle Scholar
  20. Mangold, W. G., & Faulds, D. J. (2009). Social media: The new hybrid element of the promotion mix. Business Horizons, 52(4), 357–366.CrossRefGoogle Scholar
  21. Mitchell, A., & Guskin, E. (2013). Twitter news consumers: Young, mobile and educated. Pew Research Journalism Project. Retrieved from. http://www.journalism.org/2013/11/04/twitter-news-consumers-young-mobile-and-educated/
  22. Olson, D. (2011). The relationship between community college student engagement and student usage of online social networking, Unpublished doctoral dissertation. USA: Northern Illinois University Retrieved from http://search.proquest.com/docview/920879210?accountid=40477.Google Scholar
  23. Pennebaker, J. W., Colder, M., & Sharp, L. K. (1990). Accelerating the coping process. Journal of Personality and Social Psychology, 58, 528–537.CrossRefPubMedGoogle Scholar
  24. Petersen, I., Louw, J., & Dumont, K. (2009). Adjustment to university and academic performance among disadvantaged students in South Africa. Educational Psychology, 29, 99–115.CrossRefGoogle Scholar
  25. Przybylski, A. K., Murayama, K., DeHaan, C. R., & Gladwell, V. (2013). Motivational, emotional, and behavioral correlates of fear of missing out. Computers in Human Behavior, 29, 1841–1848.CrossRefGoogle Scholar
  26. Quan, L., Zhen, R., Yao, B., & Zhou, X. (2014). The effects of loneliness and coping style on academic adjustment among college freshmen. Social Behavior and Personality, 42(6), 969–977.CrossRefGoogle Scholar
  27. Rutherford, C. (2010). Using online social media to support preservice student engagement. Journal of Online Learning and Teaching, 6(4), 703 .Retrieved from http://search.proquest.com/docview/1497198138?accountid=40477 Google Scholar
  28. Samarein, Z. A., Far, N. S., Yekleh, M., Tahmasebi, S., Yaryari, F., Ramezani, V., & Sandi, L. (2013). Relationship between Personality Traits and Internet Addiction of students at Kharazmi University. International Journal of Psychology and Behavioral Research, 2(1), 10–17.Google Scholar
  29. Schnuck, J., & Handal, P. J. (2011). Adjustment of college freshmen as predicted by both perceived parenting style and the five-factor model of personality. Psychology, 2(4), 275–282.CrossRefGoogle Scholar
  30. Slegers, K., van Boxtel, M. P. J., & Jolles, J. (2008). Effects of computer training and Internet usage on the well-being and quality of life of older adults: A randomized controlled study. Journal of Gerontology: Psychological Sciences, 63, 176–184.CrossRefGoogle Scholar
  31. Slegers, K., van Boxtel, M. P. J., & Jolles, J. (2009). Effects of computer training and Internet usage on cognitive abilities in older adults: A randomized controlled study. Aging Clinical and Experimental Research, 21, 43–54.CrossRefPubMedGoogle Scholar
  32. Smith, T., & Renk, K. (2007). Predictors of academic-related stress in college students: An examination of coping, social support, parenting, and anxiety. NASPA Journal, 44, 405–431.Google Scholar
  33. Steinfield, C., Ellison, N., Lampe, C., & Vitak, J. (2013). Online social network sites and the concept of social capital. In F. L. Lee, L. Leung, J. S. Qiu, & D. Chu (Eds.), Frontiers in New Media Research (pp. 115–131). New York: Routledge.Google Scholar
  34. Stutzman, F., Gross, R., & Acquisti, A. (2012). Silent listeners: the evolution of privacy and disclosure on Facebook. Journal of Privacy and Confidentiality, 4(2), 7–41.Google Scholar
  35. The Central Bureau of Statistics. (2011). Women in higher education. Retrieved December 21, 2012 from http://www1.cbs.gov.il/www/publications/desc_exp/women.pdf (Hebrew).
  36. The Council for Higher Education. (2009). Planning and Budgeting Committee 34/35 report. Retrieved July 20, 2010 from http://www.che.org.il/download/files /contents_1.pdf (Hebrew).
  37. Thomée, S., Härenstam, A., & Hagberg, M. (2011). Mobile phone use and stress, sleep disturbances, and symptoms of depression among young adults - a prospective cohort study. BMC Public Health, 11, 66. doi: 10.1186/1471-2458-11-66
  38. Thurber, C., & Walton, E. (2012). Homesickness and adjustment in university students. Journal of American College Health, 60(5), 1–5.CrossRefGoogle Scholar
  39. Tsai, H. F., Cheng, S. H., Yeh, T. L., Shih, C. C., Chen, K. C., Yang, Y. C., & Yang, Y. K. (2009). The risk factors of Internet addiction. A survey of university freshmen. Psychiatry Research, 167, 294–299.CrossRefPubMedGoogle Scholar
  40. Vansteenkiste, M., & Ryan, R. M. (2013). On psychological growth and vulnerability: Basic psychological need satisfaction and need frustration as a unifying principle. Journal of Psychotherapy Integration, 23, 263–280.CrossRefGoogle Scholar
  41. Velicer, W. F., & Fava, J. L. (1998). Effects of variable and subject sampling on factor pattern recovery. Psychological Methods, 3, 231–251.CrossRefGoogle Scholar
  42. Wintre, M. G., & Yaffe, M. (2000). First-year students’ adjustment to university life as a function of relationships with parents. Journal of Adolescent Research, 15, 9–37.CrossRefGoogle Scholar
  43. Young, K. S., & Rodgers, R. C. (1998). The relationship between depression and Internet addiction. Cyber Psychology and Behavior, 1(1), 25–28.CrossRefGoogle Scholar
  44. Zaremohzzabieh, Z., Samah, B. A., Omar, S. Z., Bolong, J., & Kamarudin, N. A. (2014). Addictive facebook use among university students. Asian Social Science, 10(6), 107–116.CrossRefGoogle Scholar
  45. Zhong, B., Hardin, M., & Sun, T. (2011). Less effortful thinking leads to more social networking? The associations between the use of social network sites and personality traits. Computers in Human Behavior, 27, 1265–1271.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  1. 1.Kinneret College on the Sea of GalileeJordan ValleyIsrael

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