Research Article
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Year 2023, , 234 - 248, 31.01.2023
https://doi.org/10.31681/jetol.1089882

Abstract

References

  • Akbulut, Y., Dursun, O. O., Donmez O., & Sahin, Y. L. (2016). In search of a measure to investigate cyberloafing in educational settings. Computers in Human Behavior, 55, 616-625. https://doi.org/10.1016/j.chb.2015.11.002
  • Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411-423. https://doi.org/10.1037/0033-2909.103.3.411
  • Bányai, F., Zsila, Á., Király, O., Maraz, A., Elekes, Z., Griffiths, M. D., … Demetrovics, Z. (2017). Problematic social media use: Results from a large-scale nationally representative adolescent sample. PLoS ONE, 12(1), e0169839. https://doi.org/10.1371/journal.pone.0169839
  • Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173–1182. https://doi.org/10.1037//0022-3514.51.6.1173
  • Bian, M., & Leung, L. (2015). Linking loneliness, shyness, smartphone addiction symptoms, and patterns of smartphone use to social capital. Social Science Computer Review, 33(1), 61-79. https://doi.org/10.1177/0894439314528779
  • Biber, L. (2020). Social media, FoMO and intergenerational differentiation. Journal of Economics and Management Research, 9(1), 26-43.
  • Billieux, J., Maurage, P., Lopez-Fernandez, O., Kuss, D. J., & Griffiths, M. D. (2015). Can disordered mobile phone use be considered a behavioral addiction? An update on current evidence and a comprehensive model for future research. Current Addiction Reports, 2(2), 156–162. https://doi.org/10.1007/s40429-015-0054-y
  • Choliz, M. (2012). Mobile-phone addiction in adolescence: The test of mobile phone dependence. Progress in Health Science, 2(1), 33-44.
  • Cinar, H., Bengul, S. S., & Keskin, N. (2016). The effect of fear of missing out on cyberloafing. 5th International Vocational Schools Symposium – 18-20 May, Prizren-Kosovo.
  • Coskun, S., & Muslu, G. K. (2019). Investigation of problematic mobile phones use and fear of missing out (FoMO) level in adolescents. Community Mental Health Journal, 55(6), 1004-1014. https://doi.org/10.1007/s10597-019-00422-8
  • Dossey, L. (2014). FOMO, digital dementia, and our dangerous experiment. Explore: The Journal of Science and Healing, 10(2): 69-73. https://doi.org/10.1016/j.explore.2013.12.008
  • Dursun, O. O., Donmez, O., & Akbulut, Y. (2018). Predictors of cyberloafing among preservice information technology teachers. Contemporary Educational Technology, 9(1), 22-41. https://doi.org/10.30935/cedtech/6209
  • Dursun, Y., & Kocagoz, E. (2010). Structural equation modeling and regression: A comparative analysis. Erciyes University Journal of Faculty of Economics and Administrative Sciences, 0(35), 1-17.
  • Elhai, J. D., Levine, J. C., Alghraibeh, A. M., Alafnan, A. A., Aldraiweesh, A. A., & Hall, B. J. (2018). Fear of missing out: Testing relationships with negative affectivity, online social engagement, and problematic smartphone use. Computers in Human Behavior, 89, 289-298. https://doi.org/10.1016/j.chb.2018.08.020
  • Elhai, J. D., Levine, J. C., Dvorak, R. D., & Hall, B. J. (2016). Fear of missing out, need for touch, anxiety and depression are related to problematic smartphone use. Computers in Human Behavior, 63, 509–516. https://doi.org/10.1016/j.chb.2016.05.079
  • Ergun, E., & Altun, A. (2012). The student’s perspective of cyberloafing and its causes. Educational Technology Theory and Practice, 2(1), 36-53.
  • Finney, S. J., & DiStefano, C. G. (2006). Non-normal and categorical data in structural equation modeling. G. R. Hancock ve R. O. Mueller (Ed.), Structural equation modeling: A second course at (269-314). Greenwich, CT: Information Age.
  • Fraenkel, J. R., & Wallen, N. E. (2009). How to design and evaluate research in education, 7th Edt., Pearson: London.
  • Fuster, H., Chamarro, A., & Oberst, U. (2017). Fear of missing out, online social networking and mobile phone addiction: A latent profile approach. Aloma: Revista de Psicologia, Ciències de l’Educació i del’Esport, 35(1), 1. https://doi.org/10.51698/aloma.2017.35.1.22-30
  • Garrett, R. K., & Danziger, J. N. (2008). On cyberslacking: workplace status and personal internet use at work. CyberPsychology & Behavior, 11(3), 287–292. https://doi.org/10.1089/cpb.2007.0146
  • Gezgin, D. M. (2018). Understanding patterns for smartphone addiction: age, sleep duration, social network use and fear of missing out. Cypriot Journal of Educational Sciences, 13(2), 166-177. https://doi.org/10.18844/cjes.v13i2.2938
  • Gezgin, D. M., & Mihci, C. (2020). Smartphone addiction in undergraduate athletes: Reasons and effects of using Instagram intensively. International Journal of Technology in Education and Science, 4(3), 188-202. https://doi.org/10.46328/ijtes.v4i3.106
  • Gezgin, D. M., & Sarsar, F. (2020). The views of the students that are studying in the department of CEIT on the situation of cyberloafing: a mixed method study. Turkish Journal of Social Research, 24(1), 243-256.
  • Gezgin, D. M., Hamutoglu, N. B., Samur, Y.., & Yildirim, I. S. (2018). A spreading addiction among young generation: An examination of smartphone addiction according to gender, academic success and mobile game playing variables, Educational Technology Theory and Practice, 8(2), 212-231.
  • Gezgin, D. M., Ummet, D., & Hamutoglu, N. B. (2020). Smartphone addiction in university students: The predictive role of multidimensional loneliness. Trakya Journal of Education, 10(2), 317-329.
  • Gokcearslan, S., Mumcu, F. K., Haslaman, T., & Cevik, Y. D. (2016). Modelling smartphone addiction: The role of smartphone usage, self-regulation, general self-efficacy and cyberloafing in university students. Computers in Human Behavior, 63, 639–649. https://doi.org/10.1016/j.chb.2016.05.091
  • Gokcearslan, S., Uluyol, C., & Sahin, S. (2018). Smartphone addiction, cyberloafing, stress and social support among university students: A path analysis. Children and Youth Services Review, 91, 47-54. https://doi.org/10.1016/j.childyouth.2018.05.036
  • Gokler, M. E., Aydin, R., Unal, E., & Metintas, S. (2016). Determining validity and reliability of Turkish version of fear of missing out scale. Anatolian Journal of Psychiatry, 17(Suppl.1), 53-59. https://doi.org/10.5455/apd.195843
  • Gozum, A. I. C., Erkul, R., & Aksoy, N. (2020). Use of smartphones in class: Examining the relationship between m-learning readiness, cyberloafing, nomophobia and addiction variables. International Journal of Progressive Education, 16(6), 94-120. https://doi.org/10.29329/ijpe.2020.280.6
  • Griffiths, M. D. (2005). A “components” model of addiction within a biopsychosocial framework. Journal of Substance Use, 10(4), 191–197. https://doi.org/10.1080/14659890500114359
  • Gullu, B., & Serin, H. (2020). The relationship between fear of missing out (FoMO) levels and cyberloafing behaviour of teachers. Journal of Education and Learning, 9(5), 205-214. https://doi.org/10.5539/jel.v9n5p205
  • Guzeller, C. O., & Cosguner, T. (2012). Development of a problematic mobile phone use scale for Turkish adolescents. CyberPsychology, Behavior, and Social Networking, 15(4), 205–211. https://doi.org/10.1089/cyber.2011.0210
  • Haug, S., Castro, R.P., Kwon, M., Filler, A., Kowatsch, T., & Schaub, M.P. (2015). Smartphone use and smartphone addiction among young people in Switzerland. Journal of Behavioral Addictions 4(4), 299–307. https://doi.org/10.1556/2006.4.2015.037
  • Hawi, N. S., & Samaha, M. (2016). The relations among social media addiction, self-esteem, and life satisfaction in university students. Social Science Computer Review, 35(5), 576–586. https://doi.org/10.1177/0894439316660340
  • Hetz, P. R., Dawson, C. L., & Cullen, T. A. (2015). Social media use and the fear of missing out (FoMO) while studying abroad. Journal of Research on Technology in Education, 47(4), 259-272. https://doi.org/10.1080/15391523.2015.1080585
  • Hosgor, H., Koc-Tutuncu, S., Gunduz-Hoşgör, D., & Tandogan, O. (2017). Examination in terms of different variables of prevalence of fear of missing out among college students. International Journal of Academic Value Studies, 3(17), 213-223.
  • Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55. https://doi.org/10.1080/10705519909540118.
  • Huang, H., & Leung, L. (2009). Instant messaging addiction among teenagers in China: Shyness, alienation, and academic performance decrement. CyberPsychology & Behavior, 12(6), 675–679. https://doi.org/10.1089/cpb.2009.0060
  • Kalayci, E. (2010). Investigation of relationship between cyberloafing and self-regulated learning strategies among undergraduate students (Unpublished doctoral dissertation). Hacettepe University, Ankara, Turkey.
  • Karasar, N. (2011). Bilimsel araştırma yöntemi [Scientific research methodologies], 21st Edt., Nobel Academy Publishing: Ankara, Turkey.
  • Kaya, C., & Altinkurt, Y. (2018). Role of psychological and structural empowerment in the relationship between teachers’ psychological capital and their levels of burnout. Education and Science, 43(193), 63-78. https://doi.org/10.15390/EB.2018.6961.
  • Kibona, L., & Mgaya, G. (2015). Smartphones’ effects on academic performance of higher learning students. Journal of Multidisciplinary Engineering Science and Technology, 2(4), 777-784.
  • Kim, S.-E., Kim, J.-W., & Jee, Y.-S. (2015). Relationship between smartphone addiction and physical activity in Chinese international students in Korea. Journal of Behavioral Addictions, 4(3), 200–205. https://doi.org/10.1556/2006.4.2015.028
  • Kline, R. B. (2015). Principles and practice of structural equation modeling. Guilford Press: New York.
  • Kumcagiz, H., & Gunduz, Y. (2016). Relationship between psychological well-being and smartphone addiction of university students. International Journal of Higher Education, 5(4). https://doi.org/10.5430/ijhe.v5n4p144
  • Kuss, D., & Griffiths, M. (2017). Social networking sites and addiction: Ten lessons learned. International Journal of Environmental Research and Public Health, 14(3), 311. https://doi.org/10.3390/ijerph14030311
  • Kwon, M., Kim, D. J., Cho, H., & Yang, S. (2013). The smartphone addiction scale: Development and validation of a short version for adolescents. Plos One, 8(12), e83558. https://doi.org/10.1371/journal.pone.0083558
  • Kwon, M., Lee, J. Y., Won, W. Y., Park, J. W., Min, J. A., Hahn, C., … Min, J. A. (2013b). Development and validation of a smartphone addiction scale (SAS). Plos One, 8(2), e56936. https://doi.org/10.1371/journal.pone.0056936
  • Lepp, A., Barkley, J. E., & Karpinski, A. C. (2015). The Relationship Between Cell Phone Use and Academic Performance in a Sample of U.S. College Students. SAGE Open, 5(1), 215824401557316. https://doi.org/10.1177/2158244015573169
  • Lepp, A., Barkley, J. E., Sanders, G. J., Rebold, M., & Gates, P. (2013). The relationship between cell phone use, physical and sedentary activity, and cardiorespiratory fitness in a sample of U.S. college students. International Journal of Behavioral Nutrition and Physical Activity, 10(1), 79. https://doi.org/10.1186/1479-5868-10-79
  • Lim, V. K. G. (2002). The IT way of loafing on the job: cyberloafing, neutralizing and organizational justice. Journal of Organizational Behavior, 23(5), 675–694. https://doi.org/10.1002/job.161
  • MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1(2), 130-149. https://doi.org/10.1037/1082-989X.1.2.130
  • Maydeu-Olivares, A., Shi, D., & Rosseel, Y. (2018). Assessing fit in structural equation models: A Monte-Carlo evaluation of RMSEA versus SRMR confidence intervals and tests of close fit. Structural Equation Modeling: A Multidisciplinary Journal, 25(3), 389–402. https://doi.org/10.1080/10705511.2017.1389611
  • Nagy, Á., & Kolcsey, A. (2017). Generation alpha: Marketing or science? Acta Technologica Dubnicae, 7(1), 107-115. https://doi.org/10.1515/atd-2017-0007
  • Noyan, C. O., Enez-Darcin, A., Nurmedov, S., Yilmaz, O., & Dilbaz, N. (2015). Validity and reliability of the Turkish version of the Smartphone Addiction Scale-Short Version among university students. Anatolian Journal of Psychiatry, 16(Special issue.1), 73-81.
  • Oberst, U., Wegmann, E., Stodt, B., Brand, M., & Chamarro, A. (2017). Negative consequences from heavy social networking in adolescents: The mediating role of fear of missing out. Journal of Adolescence, 55, 51-60. https://doi.org/10.1016/j.adolescence.2016.12.008
  • Przybylski, A. K., Murayama, K., DeHaan, C. R., & Gladwell, V. (2013). Motivational, emotional, and behavioral correlates of fear of missing out. Computer in Human Behaviours, 29(4), 1841-1848. https://doi.org/10.1016/j.chb.2013.02.014
  • Rozgonjuk, D., Elhai, J. D., Ryan, T., & Scott, G. G. (2019). Fear of missing out is associated with disrupted activities from receiving smartphone notifications and surface learning in college students. Computers & Education, https://doi.org/10.1016/j.compedu.2019.05.016
  • Sahin, S., Ozdemir, K., Unsal, A., & Temiz, N. (2013). Evaluation of mobile phone addiction level and sleep quality in university students. Pakistani Journal of Medical Sciences, 29(4). https://doi.org/:10.12669/pjms.294.3686
  • Salehan, M., & Negahban, A. (2013). Social networking on smartphones: When mobile phones become addictive. Computers in Human Behavior, 29(6), 2632–2639. https://doi.org/10.1016/j.chb.2013.07.003
  • Saritepeci, M. (2019). Predictors of cyberloafing among high school students: unauthorized access to school network, metacognitive awareness and smartphone addiction. Education and Information Technologies, 25, 2201–2219. https://doi.org/10.1007/s10639-019-10042-0
  • Sata, M., & Karip, F. (2018). Turkish culture adaptation of smartphone addiction scale-short version for adolescents. Cumhuriyet International Journal of Education, 6(4), 426-440. https://doi.org/10.30703/cije.346614
  • Satici, S. A., & Deniz, M. E. (2019). Adolescents’ self-perception and school satisfaction: Assessing the mediating role of subjective vitality. Education and Science, 44(197), 367-381. https://doi.org/10.15390/EB.2019.7289
  • Selwyn, N. (2008). A safe haven for misbehaving? An investigation of online misbehavior among university students. Social Science Computer Review, 26(4), 446-465. https://doi.org/10.1177/0894439307313515
  • Senel, S., Gunaydin, S., Saritas, M. T., & Cigdem, H. (2019). The factors predicting cyberloafing behaviors of undergraduate students. Kastamonu Educational Journal, 27(1), 95-105. https://doi.org/10.24106/kefdergi.2376
  • Simsek, O. F., & Demir, M. (2013). Parental support for basic psychological needs and happiness: The importance of sense of uniqueness. Soc Indic Res, 112, 661-678. https://doi.org/10.1007/s11205-012-0075-z
  • Tabachnick, B. G., & Fidell, L. S. (2001). Using multivariate statistics. 4th. Edt. Boston, MA: Allyn & Bacon.
  • Takao, M., Takahashi, S., & Kitamura, M. (2009). Addictive personality and problematic mobile phone use. CyberPsychology & Behavior, 12(5), 501–507. https://doi.org/10.1089/cpb.2009.0022
  • 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(1). https://doi.org/10.1186/1471-2458-11-66
  • Ting, C. H., & Chen, Y. Y. (2020). Smartphone addiction. In Adolescent addiction (pp. 215-240).Academic Press. https://doi.org/10.1016/B978-0-12-818626-8.00008-6
  • Tozkoparan, S. B., & Kuzu, A. (2019). The relationship between fear of missing out (FoMO) levels and cyberloafing behaviors of teacher candidates. Anatolian Journal of Educational Sciences International, 9(1), 87-110. https://doi.org/10.18039/ajesi.520825
  • Tras, Z., & Oztemel, K. (2019). Examining the relationships between Facebook intensity, fear of missing out, and smartphone addiction. Addicta: The Turkish Journal on Addictions, 6(1), 91-113. https://doi.org/10.15805/addicta.2018.6.1.0063
  • Tunc-Aksan, A., & Evin-Akbay, S. (2019). Smartphone addiction, fear of missing out, and perceived competence as predictors of social media addiction of adolescents. European Journal of Educational Research, 8(2), 559-566. https://doi.org/10.12973/eu-jer.8.2.559
  • Wolniewicz, C. A., Tiamiyu, M. F., Weeks, J. W., & Elhai, J. D. (2018). Problematic smartphone use and relations with negative affect, fear of missing out, and fear of negative and positive evaluation. Psychiatry Research, 262, 618-623. https://doi.org/10.1016/j.psychres.2017.09.058
  • Yen, C.-F., Ko, C.-H., Yen, J.-Y., Chang, Y.-P., & Cheng, C.-P. (2009). Multi-dimensional discriminative factors for Internet addiction among adolescents regarding gender and age. Psychiatry and Clinical Neurosciences, 63(3), 357–364. https://doi.org/10.1111/j.1440-1819.2009.01969.x
  • Yilmaz, V. (2004). Consumer behaviour of shopping center choice. Social Behavior and Personality an International Journal, 32(8), 783-790. https://doi.org/10.2224/sbp.2004.32.8.783
  • Yusufoglu, O. (2017). Smart phones as leisure activities and their impact on social life: A research on students of the university. Journal of the Human and Social Science Researches, 6(5). 2414-2434.

The effect of cyberloafing behaviors on smartphone addiction in university students: The mediating role of fear of missing out

Year 2023, , 234 - 248, 31.01.2023
https://doi.org/10.31681/jetol.1089882

Abstract

With the increase in smartphone use, smartphone addiction has gained immense popularity and there has been a lot of research into smartphone addiction. Nonetheless, research examining the complex relationships between cyberloafing and smartphone addiction is still insufficient. Thus, the present study aims to establish the mediating role of fear of missing out, which is a cognitive and emotional process, in the effect of university students’ level of cyberloafing upon their smartphone addiction level. The study group of the research is represented by 338 students receiving formation training in the faculty of education, at a state university. For the purpose of data collection, the Smartphone Addiction Scale - Short version, the Cyberloafing Scale, and the Fear of Missing Out Scale were used. The model was tested using structural equation modeling and bootstrapping. Structural equation modeling results provide evidence of indirect effects of cyberloafing on smartphone addiction partial mediated by fear of missing out. According to the Bootstrapping method, fear of missing out has an indirectly significant role in the relationship between cyberloafing and smartphone addiction. The findings emphasized the role of fear of missing out in explaining the relationship between cyberloafing and smartphone addiction. The study concludes by discussing relevant conclusions in the literature, and putting forth several recommendations based on these conclusions.

References

  • Akbulut, Y., Dursun, O. O., Donmez O., & Sahin, Y. L. (2016). In search of a measure to investigate cyberloafing in educational settings. Computers in Human Behavior, 55, 616-625. https://doi.org/10.1016/j.chb.2015.11.002
  • Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411-423. https://doi.org/10.1037/0033-2909.103.3.411
  • Bányai, F., Zsila, Á., Király, O., Maraz, A., Elekes, Z., Griffiths, M. D., … Demetrovics, Z. (2017). Problematic social media use: Results from a large-scale nationally representative adolescent sample. PLoS ONE, 12(1), e0169839. https://doi.org/10.1371/journal.pone.0169839
  • Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173–1182. https://doi.org/10.1037//0022-3514.51.6.1173
  • Bian, M., & Leung, L. (2015). Linking loneliness, shyness, smartphone addiction symptoms, and patterns of smartphone use to social capital. Social Science Computer Review, 33(1), 61-79. https://doi.org/10.1177/0894439314528779
  • Biber, L. (2020). Social media, FoMO and intergenerational differentiation. Journal of Economics and Management Research, 9(1), 26-43.
  • Billieux, J., Maurage, P., Lopez-Fernandez, O., Kuss, D. J., & Griffiths, M. D. (2015). Can disordered mobile phone use be considered a behavioral addiction? An update on current evidence and a comprehensive model for future research. Current Addiction Reports, 2(2), 156–162. https://doi.org/10.1007/s40429-015-0054-y
  • Choliz, M. (2012). Mobile-phone addiction in adolescence: The test of mobile phone dependence. Progress in Health Science, 2(1), 33-44.
  • Cinar, H., Bengul, S. S., & Keskin, N. (2016). The effect of fear of missing out on cyberloafing. 5th International Vocational Schools Symposium – 18-20 May, Prizren-Kosovo.
  • Coskun, S., & Muslu, G. K. (2019). Investigation of problematic mobile phones use and fear of missing out (FoMO) level in adolescents. Community Mental Health Journal, 55(6), 1004-1014. https://doi.org/10.1007/s10597-019-00422-8
  • Dossey, L. (2014). FOMO, digital dementia, and our dangerous experiment. Explore: The Journal of Science and Healing, 10(2): 69-73. https://doi.org/10.1016/j.explore.2013.12.008
  • Dursun, O. O., Donmez, O., & Akbulut, Y. (2018). Predictors of cyberloafing among preservice information technology teachers. Contemporary Educational Technology, 9(1), 22-41. https://doi.org/10.30935/cedtech/6209
  • Dursun, Y., & Kocagoz, E. (2010). Structural equation modeling and regression: A comparative analysis. Erciyes University Journal of Faculty of Economics and Administrative Sciences, 0(35), 1-17.
  • Elhai, J. D., Levine, J. C., Alghraibeh, A. M., Alafnan, A. A., Aldraiweesh, A. A., & Hall, B. J. (2018). Fear of missing out: Testing relationships with negative affectivity, online social engagement, and problematic smartphone use. Computers in Human Behavior, 89, 289-298. https://doi.org/10.1016/j.chb.2018.08.020
  • Elhai, J. D., Levine, J. C., Dvorak, R. D., & Hall, B. J. (2016). Fear of missing out, need for touch, anxiety and depression are related to problematic smartphone use. Computers in Human Behavior, 63, 509–516. https://doi.org/10.1016/j.chb.2016.05.079
  • Ergun, E., & Altun, A. (2012). The student’s perspective of cyberloafing and its causes. Educational Technology Theory and Practice, 2(1), 36-53.
  • Finney, S. J., & DiStefano, C. G. (2006). Non-normal and categorical data in structural equation modeling. G. R. Hancock ve R. O. Mueller (Ed.), Structural equation modeling: A second course at (269-314). Greenwich, CT: Information Age.
  • Fraenkel, J. R., & Wallen, N. E. (2009). How to design and evaluate research in education, 7th Edt., Pearson: London.
  • Fuster, H., Chamarro, A., & Oberst, U. (2017). Fear of missing out, online social networking and mobile phone addiction: A latent profile approach. Aloma: Revista de Psicologia, Ciències de l’Educació i del’Esport, 35(1), 1. https://doi.org/10.51698/aloma.2017.35.1.22-30
  • Garrett, R. K., & Danziger, J. N. (2008). On cyberslacking: workplace status and personal internet use at work. CyberPsychology & Behavior, 11(3), 287–292. https://doi.org/10.1089/cpb.2007.0146
  • Gezgin, D. M. (2018). Understanding patterns for smartphone addiction: age, sleep duration, social network use and fear of missing out. Cypriot Journal of Educational Sciences, 13(2), 166-177. https://doi.org/10.18844/cjes.v13i2.2938
  • Gezgin, D. M., & Mihci, C. (2020). Smartphone addiction in undergraduate athletes: Reasons and effects of using Instagram intensively. International Journal of Technology in Education and Science, 4(3), 188-202. https://doi.org/10.46328/ijtes.v4i3.106
  • Gezgin, D. M., & Sarsar, F. (2020). The views of the students that are studying in the department of CEIT on the situation of cyberloafing: a mixed method study. Turkish Journal of Social Research, 24(1), 243-256.
  • Gezgin, D. M., Hamutoglu, N. B., Samur, Y.., & Yildirim, I. S. (2018). A spreading addiction among young generation: An examination of smartphone addiction according to gender, academic success and mobile game playing variables, Educational Technology Theory and Practice, 8(2), 212-231.
  • Gezgin, D. M., Ummet, D., & Hamutoglu, N. B. (2020). Smartphone addiction in university students: The predictive role of multidimensional loneliness. Trakya Journal of Education, 10(2), 317-329.
  • Gokcearslan, S., Mumcu, F. K., Haslaman, T., & Cevik, Y. D. (2016). Modelling smartphone addiction: The role of smartphone usage, self-regulation, general self-efficacy and cyberloafing in university students. Computers in Human Behavior, 63, 639–649. https://doi.org/10.1016/j.chb.2016.05.091
  • Gokcearslan, S., Uluyol, C., & Sahin, S. (2018). Smartphone addiction, cyberloafing, stress and social support among university students: A path analysis. Children and Youth Services Review, 91, 47-54. https://doi.org/10.1016/j.childyouth.2018.05.036
  • Gokler, M. E., Aydin, R., Unal, E., & Metintas, S. (2016). Determining validity and reliability of Turkish version of fear of missing out scale. Anatolian Journal of Psychiatry, 17(Suppl.1), 53-59. https://doi.org/10.5455/apd.195843
  • Gozum, A. I. C., Erkul, R., & Aksoy, N. (2020). Use of smartphones in class: Examining the relationship between m-learning readiness, cyberloafing, nomophobia and addiction variables. International Journal of Progressive Education, 16(6), 94-120. https://doi.org/10.29329/ijpe.2020.280.6
  • Griffiths, M. D. (2005). A “components” model of addiction within a biopsychosocial framework. Journal of Substance Use, 10(4), 191–197. https://doi.org/10.1080/14659890500114359
  • Gullu, B., & Serin, H. (2020). The relationship between fear of missing out (FoMO) levels and cyberloafing behaviour of teachers. Journal of Education and Learning, 9(5), 205-214. https://doi.org/10.5539/jel.v9n5p205
  • Guzeller, C. O., & Cosguner, T. (2012). Development of a problematic mobile phone use scale for Turkish adolescents. CyberPsychology, Behavior, and Social Networking, 15(4), 205–211. https://doi.org/10.1089/cyber.2011.0210
  • Haug, S., Castro, R.P., Kwon, M., Filler, A., Kowatsch, T., & Schaub, M.P. (2015). Smartphone use and smartphone addiction among young people in Switzerland. Journal of Behavioral Addictions 4(4), 299–307. https://doi.org/10.1556/2006.4.2015.037
  • Hawi, N. S., & Samaha, M. (2016). The relations among social media addiction, self-esteem, and life satisfaction in university students. Social Science Computer Review, 35(5), 576–586. https://doi.org/10.1177/0894439316660340
  • Hetz, P. R., Dawson, C. L., & Cullen, T. A. (2015). Social media use and the fear of missing out (FoMO) while studying abroad. Journal of Research on Technology in Education, 47(4), 259-272. https://doi.org/10.1080/15391523.2015.1080585
  • Hosgor, H., Koc-Tutuncu, S., Gunduz-Hoşgör, D., & Tandogan, O. (2017). Examination in terms of different variables of prevalence of fear of missing out among college students. International Journal of Academic Value Studies, 3(17), 213-223.
  • Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55. https://doi.org/10.1080/10705519909540118.
  • Huang, H., & Leung, L. (2009). Instant messaging addiction among teenagers in China: Shyness, alienation, and academic performance decrement. CyberPsychology & Behavior, 12(6), 675–679. https://doi.org/10.1089/cpb.2009.0060
  • Kalayci, E. (2010). Investigation of relationship between cyberloafing and self-regulated learning strategies among undergraduate students (Unpublished doctoral dissertation). Hacettepe University, Ankara, Turkey.
  • Karasar, N. (2011). Bilimsel araştırma yöntemi [Scientific research methodologies], 21st Edt., Nobel Academy Publishing: Ankara, Turkey.
  • Kaya, C., & Altinkurt, Y. (2018). Role of psychological and structural empowerment in the relationship between teachers’ psychological capital and their levels of burnout. Education and Science, 43(193), 63-78. https://doi.org/10.15390/EB.2018.6961.
  • Kibona, L., & Mgaya, G. (2015). Smartphones’ effects on academic performance of higher learning students. Journal of Multidisciplinary Engineering Science and Technology, 2(4), 777-784.
  • Kim, S.-E., Kim, J.-W., & Jee, Y.-S. (2015). Relationship between smartphone addiction and physical activity in Chinese international students in Korea. Journal of Behavioral Addictions, 4(3), 200–205. https://doi.org/10.1556/2006.4.2015.028
  • Kline, R. B. (2015). Principles and practice of structural equation modeling. Guilford Press: New York.
  • Kumcagiz, H., & Gunduz, Y. (2016). Relationship between psychological well-being and smartphone addiction of university students. International Journal of Higher Education, 5(4). https://doi.org/10.5430/ijhe.v5n4p144
  • Kuss, D., & Griffiths, M. (2017). Social networking sites and addiction: Ten lessons learned. International Journal of Environmental Research and Public Health, 14(3), 311. https://doi.org/10.3390/ijerph14030311
  • Kwon, M., Kim, D. J., Cho, H., & Yang, S. (2013). The smartphone addiction scale: Development and validation of a short version for adolescents. Plos One, 8(12), e83558. https://doi.org/10.1371/journal.pone.0083558
  • Kwon, M., Lee, J. Y., Won, W. Y., Park, J. W., Min, J. A., Hahn, C., … Min, J. A. (2013b). Development and validation of a smartphone addiction scale (SAS). Plos One, 8(2), e56936. https://doi.org/10.1371/journal.pone.0056936
  • Lepp, A., Barkley, J. E., & Karpinski, A. C. (2015). The Relationship Between Cell Phone Use and Academic Performance in a Sample of U.S. College Students. SAGE Open, 5(1), 215824401557316. https://doi.org/10.1177/2158244015573169
  • Lepp, A., Barkley, J. E., Sanders, G. J., Rebold, M., & Gates, P. (2013). The relationship between cell phone use, physical and sedentary activity, and cardiorespiratory fitness in a sample of U.S. college students. International Journal of Behavioral Nutrition and Physical Activity, 10(1), 79. https://doi.org/10.1186/1479-5868-10-79
  • Lim, V. K. G. (2002). The IT way of loafing on the job: cyberloafing, neutralizing and organizational justice. Journal of Organizational Behavior, 23(5), 675–694. https://doi.org/10.1002/job.161
  • MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1(2), 130-149. https://doi.org/10.1037/1082-989X.1.2.130
  • Maydeu-Olivares, A., Shi, D., & Rosseel, Y. (2018). Assessing fit in structural equation models: A Monte-Carlo evaluation of RMSEA versus SRMR confidence intervals and tests of close fit. Structural Equation Modeling: A Multidisciplinary Journal, 25(3), 389–402. https://doi.org/10.1080/10705511.2017.1389611
  • Nagy, Á., & Kolcsey, A. (2017). Generation alpha: Marketing or science? Acta Technologica Dubnicae, 7(1), 107-115. https://doi.org/10.1515/atd-2017-0007
  • Noyan, C. O., Enez-Darcin, A., Nurmedov, S., Yilmaz, O., & Dilbaz, N. (2015). Validity and reliability of the Turkish version of the Smartphone Addiction Scale-Short Version among university students. Anatolian Journal of Psychiatry, 16(Special issue.1), 73-81.
  • Oberst, U., Wegmann, E., Stodt, B., Brand, M., & Chamarro, A. (2017). Negative consequences from heavy social networking in adolescents: The mediating role of fear of missing out. Journal of Adolescence, 55, 51-60. https://doi.org/10.1016/j.adolescence.2016.12.008
  • Przybylski, A. K., Murayama, K., DeHaan, C. R., & Gladwell, V. (2013). Motivational, emotional, and behavioral correlates of fear of missing out. Computer in Human Behaviours, 29(4), 1841-1848. https://doi.org/10.1016/j.chb.2013.02.014
  • Rozgonjuk, D., Elhai, J. D., Ryan, T., & Scott, G. G. (2019). Fear of missing out is associated with disrupted activities from receiving smartphone notifications and surface learning in college students. Computers & Education, https://doi.org/10.1016/j.compedu.2019.05.016
  • Sahin, S., Ozdemir, K., Unsal, A., & Temiz, N. (2013). Evaluation of mobile phone addiction level and sleep quality in university students. Pakistani Journal of Medical Sciences, 29(4). https://doi.org/:10.12669/pjms.294.3686
  • Salehan, M., & Negahban, A. (2013). Social networking on smartphones: When mobile phones become addictive. Computers in Human Behavior, 29(6), 2632–2639. https://doi.org/10.1016/j.chb.2013.07.003
  • Saritepeci, M. (2019). Predictors of cyberloafing among high school students: unauthorized access to school network, metacognitive awareness and smartphone addiction. Education and Information Technologies, 25, 2201–2219. https://doi.org/10.1007/s10639-019-10042-0
  • Sata, M., & Karip, F. (2018). Turkish culture adaptation of smartphone addiction scale-short version for adolescents. Cumhuriyet International Journal of Education, 6(4), 426-440. https://doi.org/10.30703/cije.346614
  • Satici, S. A., & Deniz, M. E. (2019). Adolescents’ self-perception and school satisfaction: Assessing the mediating role of subjective vitality. Education and Science, 44(197), 367-381. https://doi.org/10.15390/EB.2019.7289
  • Selwyn, N. (2008). A safe haven for misbehaving? An investigation of online misbehavior among university students. Social Science Computer Review, 26(4), 446-465. https://doi.org/10.1177/0894439307313515
  • Senel, S., Gunaydin, S., Saritas, M. T., & Cigdem, H. (2019). The factors predicting cyberloafing behaviors of undergraduate students. Kastamonu Educational Journal, 27(1), 95-105. https://doi.org/10.24106/kefdergi.2376
  • Simsek, O. F., & Demir, M. (2013). Parental support for basic psychological needs and happiness: The importance of sense of uniqueness. Soc Indic Res, 112, 661-678. https://doi.org/10.1007/s11205-012-0075-z
  • Tabachnick, B. G., & Fidell, L. S. (2001). Using multivariate statistics. 4th. Edt. Boston, MA: Allyn & Bacon.
  • Takao, M., Takahashi, S., & Kitamura, M. (2009). Addictive personality and problematic mobile phone use. CyberPsychology & Behavior, 12(5), 501–507. https://doi.org/10.1089/cpb.2009.0022
  • 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(1). https://doi.org/10.1186/1471-2458-11-66
  • Ting, C. H., & Chen, Y. Y. (2020). Smartphone addiction. In Adolescent addiction (pp. 215-240).Academic Press. https://doi.org/10.1016/B978-0-12-818626-8.00008-6
  • Tozkoparan, S. B., & Kuzu, A. (2019). The relationship between fear of missing out (FoMO) levels and cyberloafing behaviors of teacher candidates. Anatolian Journal of Educational Sciences International, 9(1), 87-110. https://doi.org/10.18039/ajesi.520825
  • Tras, Z., & Oztemel, K. (2019). Examining the relationships between Facebook intensity, fear of missing out, and smartphone addiction. Addicta: The Turkish Journal on Addictions, 6(1), 91-113. https://doi.org/10.15805/addicta.2018.6.1.0063
  • Tunc-Aksan, A., & Evin-Akbay, S. (2019). Smartphone addiction, fear of missing out, and perceived competence as predictors of social media addiction of adolescents. European Journal of Educational Research, 8(2), 559-566. https://doi.org/10.12973/eu-jer.8.2.559
  • Wolniewicz, C. A., Tiamiyu, M. F., Weeks, J. W., & Elhai, J. D. (2018). Problematic smartphone use and relations with negative affect, fear of missing out, and fear of negative and positive evaluation. Psychiatry Research, 262, 618-623. https://doi.org/10.1016/j.psychres.2017.09.058
  • Yen, C.-F., Ko, C.-H., Yen, J.-Y., Chang, Y.-P., & Cheng, C.-P. (2009). Multi-dimensional discriminative factors for Internet addiction among adolescents regarding gender and age. Psychiatry and Clinical Neurosciences, 63(3), 357–364. https://doi.org/10.1111/j.1440-1819.2009.01969.x
  • Yilmaz, V. (2004). Consumer behaviour of shopping center choice. Social Behavior and Personality an International Journal, 32(8), 783-790. https://doi.org/10.2224/sbp.2004.32.8.783
  • Yusufoglu, O. (2017). Smart phones as leisure activities and their impact on social life: A research on students of the university. Journal of the Human and Social Science Researches, 6(5). 2414-2434.
There are 77 citations in total.

Details

Primary Language English
Subjects Studies on Education
Journal Section Articles
Authors

Fatmagül Gürbüz 0000-0001-9101-5889

Mehmet Bayraklı 0000-0001-8793-222X

Deniz Mertkan Gezgin 0000-0003-4688-043X

Publication Date January 31, 2023
Published in Issue Year 2023

Cite

APA Gürbüz, F., Bayraklı, M., & Gezgin, D. M. (2023). The effect of cyberloafing behaviors on smartphone addiction in university students: The mediating role of fear of missing out. Journal of Educational Technology and Online Learning, 6(1), 234-248. https://doi.org/10.31681/jetol.1089882


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