COVID-19 SÜRECİNDE AKADEMİ ÇALIŞANLARININ FoMO ALGISI: ÖLÇEK GELİŞTİRME VE DEĞERLENDİRME

Abstract

Bu araştırma, Covid-19 pandemi döneminde FoMO (Gelişmeleri Kaçırma Korkusu) algısını belirlemeye yönelik bir ölçek geliştirmek ve bu ölçeğin güvenirlik ve geçerlilik çalışmalarını gerçekleştirmek amacıyla metodik olarak yapılmıştır. Veriler, toplam 1395 üniversite akademik çalışanından google formu ile elde edilen anketler aracılığıyla değerlendirilmiştir. Bu araştırmada Betimleyici Bilgi Formu ve Covid-19 Pandemi Sürecinde FoMO Algısı Ölçeği (FCS) Algısı beşli Likert tipi bir ölçek olarak kullanılmıştır. Bu ölçeğin yapı geçerliliği faktör analizi ile değerlendirilmiştir. Açıklayıcı faktör analizi sonucunda Cronbach Alpha iç tutarlılık katsayısı 0.776 olarak bulunmuştur. Ölçeğin son hali doğrulayıcı faktör analizi ile test edilmiştir. Ölçümler, sonucun yüksek bir uyum iyiliğine sahip olduğunu ve Covid-19 pandemisi sırasında FoMO algısını ölçmek için kullanılabileceğini ortaya koymuştur. FCS'nin alt ölçekleri arasındaki korelasyon verileri, faktörlerin birbirleriyle anlamlı bir ilişki içinde olduğunu göstermiştir. Analizler ışığında FCS'nin geçerli ve güvenilir bir ölçme aracı olduğu tespit edilmiştir. Bu ölçeğin kullanılacağı farklı gruplarla yapılacak araştırmaların faydalı olacağı sonucuna varılmıştır.

Keywords

• FoMO
• Akademik Personel
• Covid-19
• Ölçek

FoMO PERCEPTION OF ACADEMIC STAFF IN COVID-19 PPOCESS: SCALE DEVELOPMENT AND ASSESSMENT

Abstract

This research was performed methodically to develop a scale to determine the perception of FoMO (The Fear of Missing Outside) in the Covid-19 pandemic period and to carry out reliability and validity studies of this scale. The data were evaluated through the questionnaires obtained from a total of 1395 university academic staff via google form. In this search, the Descriptive Information Form and the FoMO Perception in the Covid-19 Pandemic Process Scale (FCS) were used as a five-point Likert type scale. The construct validity of this scale was evaluated by factor analysis. As a result of the explanatory factor analysis, the Cronbach Alpha internal consistency coefficient was found to be 0.776. The final form of the scale was tested with confirmatory factor analysis. Measurements revealed that the result has a high goodness of fit and can be used to measure FoMO perception during the Covid-19 pandemic. The relationship between the sub-scales of FCS showed that the factors were in a significant relationship with each other. In the light of the analysis, it was found that FCS is a valid and reliable measurement tool. It was concluded that researches with different groups using this scale would be useful.

Keywords

• FoMO
• Academic Staff
• Covid-19
• Scale

References

1. Abed, M. A., Hall, L. A., & Moser, D. K. (2011). Spielberger’s state anxiety inventory: Development of a shortened version for critically ill patients. Mental Health Nursing, 32 (4), 220-227.
2. Argan, M., Tokay Argan, M., & İpek, G. (2018). I wish I were! Anatomy of a fomsumer. Journal of Internet Applications & Management, 9(1), 43-57.
3. Bajgar, J., Ciarrochi, J., Lane, R., & Deane, F. P. (2005). Developmental of the levels of emotional awareness scale for children (LEASC). British Journal of Developmental Psychology, 23(4), 569-586.
4. Benet, M.V., & John, O.P. (1998). Los cinco grandes across cultures and ethnic groups: Multitrait multimethod analysis of the big five in Spanish and English. Journal of Personality and Social Psychology, 75, 729-750.
5. Bentler, P.M. & Bonett, D.G.(1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychol Bull. 8, 588–606.
6. Boyd, C.J., Frey, M.A. & Aaronson L.S. (1988). Structural equation models and nursing research: part I. Nurs Res. 37, 249-52.
7. Büyüköztürk, Ş. (2002). Manual of data analysis for social sciences. Ankara: Pegem A Publishing.
8. Casale, S., & Flett, G. L. (2020). Interpersonally-based fears during the covid-19 pandemic: reflections on the fear of missing out and the fear of not mattering constructs. Clinical Neuropsychiatry, 17(2), 88-93.

9. Craig, K. J., Hietanen, H., Markova, I. S. & Berrios, G. E. (2008). The irritability questionnaire: A new scale for the measurement of irritability. Psychiatry Research, 159(3), 367-375.
10. Delacre, M., Leys, C., Mora, Y. L., & Lakens, D. (2019). Taking parametric assumptions seriously: arguments for the use of welch’s f-test instead of the classical f-test in one-way ANOVA. International Review of Social Psychology, 32(1), 13. DOI: http://doi.org/10.5334/irsp.198
11. Dossey, L. (2014). FoMO, digital dementia, and our dangerous experiment. Explor J Sci Heal [Internet], 10(2), 69–73. Available from: http://dx.doi.org/10.1016/j.explore.2013.12.008
12. First, M. B., Frances, M.D. & Pincus, M.D. (1999). Diagnostic and statistical manual of mental disorders, DSM-IV, Washington DC.
13. Fox, J. & Moreland, J.J.(2015). The dark side of social networking sites: An exploration of the relational and psychological stressors associated with Facebook use and affordances. Comput Human Behav [Internet], 45, 168– 76. Available from: http://dx.doi.org/10.1016/j.chb. 2014.11.083
14. Gorbalenya, A. E., Baker, S. C., Baric, R. S., de Groot, R. J., Drosten, C. & Gulyaeva, A. A. (2020). Severe acute respiratory syndrome-related coronavirus. The species and its viruses – a statement of the Coronavirus Research Group. bioRxiv. 2020.02.07.937862
15. Gökler, M. E., Aydin, R., Ünal, E. & Metintaş, S. (2016). Evaluation of the validity and reliability of the turkish version of the scale of fear of missing developments in social media. Anadolu Psychiatrist Journal, 17, 53-9.
16. Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E. & Tatham, R. L. (2013). Multivariate data analysis. Pearson Education Limited.
17. Hayran, C., Anik, L., & Gurhan, C. Z. (2016). Exploring the antecedents and consumer behavioral consequences of. ACR North American Advances.
18. Hodkinson, C. (2019). ‘Fear of Missing Out’(FOMO) marketing appeals: A conceptual model. Journal of Marketing Communications, 25(1), 65-88.
19. Hoşgör, H. & Tandoğan, Ö. (2017). The impact of nomophobia on daily smartphone usage time and school success. Akad Social Research Journal, 46 (May), 573-95
20. Janis, I. S., & Field, P. B. (1959). A behavioral assessment of persuasibility: Consistence of individual differences. In C. I. Hovland & I. L. Janis (Eds.), Personality and persuasibility (pp. 29–54). Oxford: Yale University Press.
21. Jöreskog, K. & Sörbom, D.(1993). LISREL 8: Structural equation modelling with the SIMPLIS command. Scientific Software International, Chicago.
22. JWT Intelligence. (2012). Fear of missing out (FoMO). https://www.slideshare.net/jwtintelligence/ the- fear- of-missing-out-fomo-march-2012-update. Access date: 23.08.2020.
23. Kaplan, A.G. & Gezgin, D.M. (2016). Investigation of the relationships between university students' nomophobia levels and different behavioral patterns. Mehmet Akif Ersoy University Faculty of Education Journal [Internet], 1(40), 51-69.
24. Kaur, K., Kunasegaran , M., Singh, J., Salome, S.& Sandhu, S. K. (2020). Impact of the first phase of movement control order during the COVID-19 pandemic in Malaysia on purchasing behavior of Malaysian consumers. Horizon, 2, 131-144.
25. Killian, K. D. (2012). Development and validation of the emotional self-awareness questionnaire: a measure of emotional intelligence. Journal of Marital and Family Therapy, 38(3), 502-514.
26. Laato , S., Islam A. K. M.N., Islam, M. N., & Whelan, E. (2020). What drives unverified information sharing and cyberchondria during the COVID-19 pandemic? European Journal of Information Systems, 29(3), 288-305, DOI: 10.1080/0960085X.2020.1770632.
27. Lam, T. T. Y., Shum, M.H.H., Zhu, H.C., Tong, Y.G., Ni, X.B., Liao, Y. S., …Guan, Y. (2020). Identification of 2019-nCoV related coronaviruses in Malayan pangolins in southern China. bioRxiv the print server.. doi: https://doi.org/10.1101/2020.02.13.945485. Retrieved 15th October, 2020 from https://www.biorxiv.org/content/10.1101/2020.02.13.945485v1.full
28. Lane, R. D., Hsu, C. H., Locke, D. E. C., Ritenbaugh, C., & Stonnington, C. M. (2015). Role of theory of mind in emotional awareness and alexithymia: implications for conceptualization and measurement. Consciousness and Cognition, 33, 398-405
29. Lenney, E. (1977). Women's self-confidence in achievement settings. Psychological Bulletin, 84(1), 1–13. https://doi.org/10.1037/0033-2909.84.1.1
30. Lo Coco, G. Salerno, L., Franchina, V., La Tona, A., Di Blasi, M., & Giordano, C. (2020). Examining bi-directionality between Fear of Missing Out and problematic smartphone use. A two-wave panel research among adolescents. Addictive Behaviors. Advance online publication. doi: 10.1016/j.addbeh.2020.106360.
31. Long, J. S.(1983). Confirmatory factor analysis. A preface to LISREL. Sage Publications, Beverly Hills, CA
32. Malik, Y. S., Sircar, S., Bhat, S., Sharun, K., Dhama, K. & Dadar, M. (2020). Emerging novel coronavirus (2019-nCoV)—current scenario, evolutionary perspective based on genome analysis and recent developments. Veterinary Quarterly, 40(1), 68-76.
33. McDermott, R. (2017). FoMO and the image of the self from college campuses to Madison Avenue. Honors Theses and Student Projects. 60. Retrieved 23th October, 2020 from http://digitalworks.union.edu/theses/60.
34. Musil, C.M., Jones, S.L. & Warner, C.D. (1998). Structural equation modelling and its relationship to multiple regression and factor analysis. Res Nurs Health, 21, 271–81.
35. Neuman, W. L. (2006). Social research methods: qualitative and quantitative approaches. Edinburgh Gate: Pearson Education Limited.
36. Nunnally, J.C. (1978). Psychometric theory. New York: Mc-Graw-Hill Book Company.
37. Pallant, J. (2010). SPSS survival manual: A step by step guide to data analysis using the SPSS program. 4th Edition, McGraw Hill, New York.
38. Phillips, D. E. (2020). FoMO in the time of COVID. Canadian Journal of Emergency Medicine, 22(5),1-3. DOI 10.1017/cem.2020.410.
39. Przybylski, A. K., Murayama, K., Dehaan, C.R. & Gladwell, V. (2013). Motivational, emotional, and behavioral correlates of fear of missing out. Comput Human Behav [Internet], 29(4), 1841–8. Retrieved October 20th, 2020 from http://dx.doi.org/10.1016/j.chb.2013.02.014
40. Riordan, B. C., Flett, J. A. M., Hunter, J. A., Scarf, D., & Conner, T. S. (2015). Fear of missing Out (FoMO): The relationship between FoMO, alcohol use, and alcoholrelated consequences in college students. Annals of Neuroscience and Psychology, 2, 1–7. doi: 10.7243/2055- 3447-2-9.
41. Rosenberg, M. (1965). Society and the adolescent self-image. Princeton, NJ: Princeton University Press.
42. Schermelleh-Engel, K. & Moosbrugger, H. (2003). Models: Tests of significance and descriptive. Psychological Research Online, 8, (2), 23-74.
43. Somer, O., Korkmaz, M.,&Tatar, A. (2002). Development of the five factor personality inventory-I: Creating the scale and its subscales. Turkish Journal of Psychology, 17 (49), 21-33.
44. T.R. Ministry of Health, General Directorate of Public Health (2020). COVID-19 (SARSCoV2 Infection) Guide (Scientific Committee Study). Retrieved September 26th, 2020 from https://covid19bilgi.saglik.gov.tr/depo/ rehberler/COVID-19_Rehberi.pdf.
45. Tabachnick, B. G. & Fidell, L. S. (2001). Using multivariate statistics (4th Ed). Needham Heights: Allyn & Bacon.
46. Tkach, C., & Lyubomirsky, S. (2006). How do people pursue happiness? Relating personality, happiness increasing strategies and well-being. Journal of Happiness Studies, 7 ,183–225.
47. Voboril, K. (2010). FoMO: The fear of missing out. Bloomberg. Retrieved February, 9, 2020 from https://www.bloomberg.com/news/articles/2010-02-08/fomo-the-fear-of-missing-out
48. Wood, M. J., & Brink, P. J. (1998). Correlational designs. In Advanced Design in Nursing Research. Thousand Oaks, CA: Sage Publications.
49. Xiao, L., & Mou, J. (2019). Social media fatigue-Technological antecedents and the moderating roles of personality traits: The case of WeChat. Computers in Human Behavior, 101, 297-310.
50. Yin, Y. & Wunderink, R.G. (2018). MERS, SARS and other coronaviruses as causes of pneumonia. Respirology, 23(2), 130-7
51. Youngblut, J.M.(1994). A consumer’s guide to causal modelling: part II. J Pediatr Nurs. 9: 409–13
52. Zhu, N., Zhang, D., Wang, W., Li, X., Yang, B. & Song, J. (2019). A Novel coronavirus from patients with pneumonia in China. N Engl J Med. 382(8), 727-33.