Are you “phubbing” me? The Determinants of Phubbing Behavior and Assessment of Measurement Invariance across Sex Differences
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Abstract
Phubbing behavior is pervasive but the examination of the determinants and measurement invariance remain deficient. The present study aims to investigate: (1) relationships between Big Five personality traits (i.e., open-mindedness, conscientiousness, extraversion, agreeableness, and negative emotionality), coping styles (i.e., problem-focused and emotional-focused), Internet addiction and phubbing behavior; (2) the mediating role of Internet addiction among these relationships; and (3) measurement invariance across sex groups. A total of 405 responses were included in the final analyses. Participants were sampled using a probability-proportionate-to-size (PPS) method. Data were collected using paper-and-pencil survey: Phubbing Scale, Internet Addiction Test, Big Five Inventory, and Simplified Coping Styles Questionnaire. Negative emotionality, open-mindedness, and Internet addiction were the significant determinants of phubbing behavior. Internet addiction partially mediates open-mindedness and phubbing behavior. As for measurement invariance across sex groups, conscientiousness, extraversion, negative emotionality, Internet addiction, and phubbing behavior constructs achieved full measurement invariance. The agreeableness construct showed partial measurement invariance. Three constructs (i.e., open-mindedness, problem-focused and emotional-focused coping) failed to achieve partial measurement invariance, signifying that male and female participants had different interpretations on the items of these constructs. This pervasive culture could be gradually weakened if in-person interaction is intensely promoted.
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Batool, S. H., & Mahmood, K. (2010). Entertainment, communication or academic use? A survey of Internet café users in Lahore, Pakistan. Information Development, 26(2), 141-147. doi: 0.1177/0266666910366650
Google Scholar CrossrefBond, E. (2011). The mobile phone = bike shed? Children, sex and mobile phones. New Media and Society, 13(4), 587-604. doi: 1177/1461444810377919
Google Scholar CrossrefChotpitayasunondh, V., & Douglas, K. M. (2016). How “phubbing” becomes the norm: The antecedents and consequences of snubbing via smartphone. Computers in Human Behavior, 63, 9–18. doi: 10.1016/j.chb.2016.05.018
Google Scholar CrossrefCosta, P. T., & McCrae, R. R. (1992). Four ways five factors are basic. Personality and individual differences, 13(6), 653-665.
Google Scholar CrossrefDoh, Y. Y, & Whang, S. L. (2014). From separation to integration: Identity development of Korean adult players in online game world. Games and Culture, 9(1), 30-57. doi: 10.1177/1555412013498301
Google Scholar CrossrefElogie, A. A. (2015). Factors influencing the adoption of smartphones among undergraduate students in Ambrose Alli University, Ekpoma, Nigeria. Retrieved from http://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=3367&context=libphilprac
Google Scholar CrossrefGallagher, D. J. (1996). Personality, coping, and objective outcomes: Extraversion, neuroticism, coping styles, and academic performance. Personality and Individual Differences, 21, 421–429.
Google Scholar CrossrefHair, J. F., Sarstedt, M. Ringle, C. M., & Gudergan, S. P. (2017). Advanced issues in partial least squares structural equation modeling. Thousand Oaks, CA: SAGE Publications.
Google Scholar CrossrefHawi, N. S. (2012). Internet addiction among adolescents in Lebanon. Computers in Human Behavior, 28(3), 1044–1053.
Google Scholar CrossrefHenseler, J., Ringle, C. M., & Sarstedt, M. (2016). Testing measurement invariance of composites using partial least squares. International Marketing Review, 33, 405–431.
Google Scholar CrossrefHult, T., Ketchen, D. J., Griffith, D. A., Cavusgil, S. T. (2008). An assessment of the measurement performance in international business research, 39(6), 1064-1080. doi: 10.1057/palgrave.jibs.8400398.
Google Scholar CrossrefHuseynov, F., & Yıldırım, S. (2016). Internet users’ attitudes toward business-to-consumer online shopping: A survey. Information Development, 32(3), 452-465. doi: 0.1177/0266666914554812
Google Scholar CrossrefHwang, J. Y., Choi, J. S., Gwak, A. R., Jung,D., Choi, S. W., Lee, J., …Kim, D. J. (2014). Shared psychological characteristics that are linked to aggression between patients with Internet addiction and those with alcohol dependence. Annals of General Psychiatry, 13, 1-6.
Google Scholar CrossrefKaradağ, E., Tosuntas, S. B., Erzen, E., Duru, P., Bostan, N., Sahİn, B. M., … & Baradağ, B. (2015). Determinants of phubbing, which is the sum of many virtual addictions: A structural equation model. Journal of Behavioural Addictions, 4(2), 60-74. doi: 10.1556/2006.4.2015.00
Google Scholar CrossrefKayis, A. R., Satici, S. A., Yilmaz, M. F., Şimşek, D., Ceyhan, E., & Bakioǧlu, F. (2016). Big five-personality trait and internet addiction: A meta-analytic review. Computers in Human Behaviour, 63, 35-40. doi:10.1016/j.chb.2016.05.012
Google Scholar CrossrefKuss, D. J., Griffiths, M. D., & Binder, J. F. (2013). Internet addiction in students: Prevalence and risk factors. Computers in Human Behavior, 29, 959-966.
Google Scholar CrossrefKuss, D. J., van Rooij, A. J., Shorter, G. W., Griffiths, M. D., & van de Mheen, D. (2013). Internet addiction in adolescents: Prevalence and risk factors. Computers in Human Behavior, 29, 1987-1996.
Google Scholar CrossrefLan, C. M., & Lee, Y. H. (2013). The predictors of internet addiction behaviours for Taiwanese elementary school students. School Psychology Internationl, 34(6), 648-657. doi: 0.1177/0143034313479690
Google Scholar CrossrefLi, H., & Lei, L. (2005). The relationship of coping styles and pathological Internet use of middle school students. Acta Psychologica Sinica, 37, 87–91.
Google Scholar CrossrefOuytsel, J. V., Ponnet, K., Walrave, m., & d’Haenens, L. (2016). Adolescent sexting from a social learning perspective. Telematics and Informatics, 34(1), 287-298. doi:10.1016/j.tele.2016.05.009
Google Scholar CrossrefPeterson, R. A., & Kim, Y. (2013). On the relationship between coefficient alpha and composite reliability. Journal of Applied Psychology, 98(1), 194-198. doi: 10.1037/a0030767
Google Scholar CrossrefRevilla, M., Cornilleau, A., Cousteaux, A., Legleye, S., & de Pedraza, P. (2015). What is the gain in the probability-based online panel of providing Internet access to sampling units who previously had no access? Social Science Computer Review, 34(4), 479-496. doi: 10.1177/0894439315590206
Google Scholar CrossrefRoberts, J. A., & David, M. E. (2016). My life has become a major distraction from my cell phone: Partner phubbing and relationship satisfaction among romantic partners. Computers in Human Behavior, 54, 134–141. doi: 10.1016/j.chb.2015.07.058
Google Scholar CrossrefRoberts, J. A., & David, M. E. (2017). Put down your phone and listen to me: How boss phubbing undermines the psychological conditions necessary for employee engagement. Computers in Human Behavior, 75, 206–217. doi: 10.1016/j.chb.2017.05.021
Google Scholar CrossrefRoberts, J. A., Pullig, C., & Manolis, C. (2015). I need my smartphone: A hierarchical model of personality and cell-phone addiction. Personality and Individual Differences, 79, 13–19. doi: 10.1016/j.paid.2015.01.049
Google Scholar CrossrefServidio, R. (2014). Exploring the effects of demographic factors, Internet usage and personality traits on Internet addiction in a sample of Italian university students. Computers in Human Behavior, 35, 85-92.
Google Scholar CrossrefShin, W. (2015). Parental socialization of children’s internet use: A qualitative approach. New Media and Society, 17(5), 649-665. doi: 10.1177/1461444813516833
Google Scholar CrossrefSoto, C. J., & John, O. P. (2016). The next Big Five Inventory (BFI-2): Developing and assessing a hierarchical model with 15 facets to enhance bandwidth, fidelity, and predictive power. Journal of Personality and Social Psychology, pp. 1-27. doi: 10.1037/pspp0000096
Google Scholar CrossrefTang, J., Yu, Y., Du, Y., Ma, Y., Zhang, D., & Wang, J. (2014). Prevalence of Internet addiction and its association with stressful life events and psychological symptoms among adolescent Internet users. Addictive Behaviors, 39, 744–747.
Google Scholar CrossrefTynes, B. M., & Mitchell, K. J. (2014). Black youth beyond the digital divide: Age and gender differences in Internet use, communication patterns, and victimization. Journal of Black Psychology, 40(3), 291-307. doi:10.1177/0095798413487555
Google Scholar CrossrefUgur, N. G., & Koc, T. (2015). Time for digital detox: Misuse of mobile technology and phubbing. Procedia - Social and Behavioral Sciences, 195, 1022–1031. doi: 10.1016/j.sbspro.2015.06.491
Google Scholar CrossrefVanden Abeele, M. M. P., Antheunis, M. L., & Schouten, A. P. (2016). The effect of mobile messaging during a conversation on impression formation and interaction quality. Computers in Human Behavior, 62, 562–569. doi: 10.1016/j.chb.2016.04.005
Google Scholar CrossrefVerma, P., & Jain, S. (2015). Skills augmenting online shopping behavior: A study of need for cognition positive segment. Business Perspectives and Research, 3(2), 126-145. doi: 0.1177/2278533715578556
Google Scholar CrossrefWang, X., Xie, X., Wang, Y., Wang, P., & Lei, L. (2017). Partner phubbing and depression among married Chinese adults: The roles of relationship satisfaction and relationship length. Personality and Individual Differences, 110, 12–17. doi: 10.1016/j.paid.2017.01.014
Google Scholar CrossrefXie, Y. (1999). Simplified coping style questionnaire. In X. D. Wang, X. L. Wang, & H. Ma (Eds.), Rating scales for mental health (pp. 122–124) (2nd ed.). Beijing: Chinese Mental Health Journal Press.
Google Scholar CrossrefYoung, K. S. (1998). Internet addiction: The emergence of a new clinical disorder. Cyberpsychology & Behavior, 1(3), 237-244.
Google Scholar CrossrefYoung, K. S. (1999). The research and controversy surrounding internet addiction. Cyberpsychology & Behavior, 2(5), 381-383.
Google Scholar CrossrefZamani, B. E., Abedini, Y., & Kheradmand, A. (2011). Internet addiction based on personality characteristics of high school students in Kerman, Iran. Addiction and Health, 3, 85–91.
Google Scholar CrossrefZhou, Y. Y., Li, D. P., Li, X., Wang, Y. H., & Zhao, L. Y. (2016). Big five personality and adolescent Internet addiction: The mediating role of coping style. Addictive Behaviors, 64, 42-48. doi: 10.1916/j.addbeh.2016.08.009
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