Phubbing (Sosyotelizm) ile Beş Faktör Kişilik Özellikleri Arasındaki İlişkiler

Yıl 2021, Cilt: 29 Sayı: 4, 32 - 42, 30.11.2021

İzzet Parmaksız

https://doi.org/10.24106/kefdergi.795620

Cited By: 4

Öz

Bireyi diğerlerinden ayıran kişilik özellikleri bireyin davranışlarının en önemli sebeplerinden biri olarak gösterilebilir. Bu araştırmada phubbing (sosyotelizm) ve kişilik özellikleri (dışa dönüklük, yumuşak başlılık, sorumluluk, nevrotizm ve deneyime açıklık) arasındaki ilişkiye bakılarak kişilik özelliklerinin phubbing üzerindeki yordayıcı etkisini saptamak amaçlanmıştır. Araştırmanın çalışma grubu Türkiye’nin farklı illerinde yaşayan 1186 [ Kadın: 642 (%54.1), Erkek:544 (% 45.9 )] katılımcıdan oluşmaktadır. Katılımcıların yaşları 15-70 (Ort ± ss = 31.24 ± 11.38) arasında değişmektedir. Araştırmanın verileri Phubbing Ölçeği, Sıfatlara Dayalı Kişilik Testi ve kişisel bilgi formu kullanılarak toplanmıştır. Araştırma verilerinin analizinde betimsel istatistikler, t testi, tek yönlü varyans analizi (Anova), Pearson korelasyonu ve hiyerarşik regresyon kullanılmıştır. Araştırmadan elde edilen bulgulara göre phubbing ile dışadönüklük arasında anlamlı bir ilişkinin olmadığı saptanmıştır. Phubbing ile nevrotizm ve deneyime açıklık arasında anlamlı pozitif bir ilişki saptanırken; phubbing ile yumuşak başlılık ve sorumluluk arasında negatif anlamlı bir ilişki saptanmıştır. Yapılan ön analize göre cinsiyet phubbing puanlarını anlamlı farklılaştırmazken; medeni durum, eğitim düzeyi ve yaş phubbing puanlarını anlamlı farklılaştırmaktadır. Yapılan hiyerarşik regresyon analizi sonuçlarına göre yumuşak başlılık, sorumluluk, nevrotizm ve deneyime açıklığın phubbingin yordayıcıları olduğu saptanmıştır. Araştırma bulguları alan yazın açısından tartışılarak önerilerde bulunulmuştur.

Anahtar Kelimeler

sosyotelizm, dışa dönüklük, yumuşak başlılık, sorumluluk, nevrotizm, deneyime açıklık

Relationships Between Phubbing and The Five Factor Personality Traits

Öz

Purpose: Personality traits that distinguish the individual from others can be shown as one of the most important reasons of the individual's behavior. In this study, it was aimed to determine the predictive effect of personality traits on phubbing by considering the relationship between phubbing and personality traits (extraversion, conscientiousness, agreeableness, neuroticism, and openness).
Design/Methodology/Approach: The study group of the research consisted of 1186 [Female: 642 (54.1%), Male: 544 (45.9%)] individuals living in different provinces of Turkey. Simple random sampling method was used in the study. The ages of the participants were range from 15-70 (Mean ± sd = 31.24 ± 11.38). The research data were collected using Phubbing Scale, Adjective Based Personality Test and Personal Information Form. Descriptive statistics, t-test, One-Way Anova, Pearson correlation, and hierarchical regression were used in the analysis of the research data.
Findings: According to the findings obtained from the study, there was no significant relationship between phubbing and extraversion. While there was a significant positive relationship between phubbing with neuroticism and openness. There were negative relationships between phubbing with conscientiousness and agreeableness. According to the preliminary analysis, while gender did not differentiate phubbing scores significantly; marital status, educational level and age significantly differentiated phubbing scores. According to the results of the hierarchical regression analysis, it has been found that conscientiousness, agreeableness, neuroticism, and openness were predictors of phubbing.
Highlights: Personality traits are an important factor that needs to be addressed in order to understand phubbing behavior. The research findings were discussed in terms of literature and suggestions are made.

Anahtar Kelimeler

phubbing, extraversion, conscientiousness, agreeableness, neuroticism, openness

Kaynakça

• Al-Saggaf, Y., & MacCulloch, R. (2018). Phubbing: How frequent? Who is phubbed? In which situation? And using which apps? Proceedings of the thirty ninth international conference on information systems (ICIS) (December 13–16), San Francisco, 1–9. AISNET.
• Al-Saggaf, Y., MacCulloch, R., & Wiener, K. (2019). Trait boredom ıs a predictor of phubbing frequency. Journal of Technology in Behavioral Science 4, 245–252. https://doi.org/10.1007/s41347-018-0080-4.
• Bacanlı, H., İlhan, T., & Aslan, S. (2009). Beş faktör kuramına dayalı bir kişilik ölçeğinin geliştirilmesi: Sıfatlara dayali kişilik testi (SDKT). Türk Eğitim Bilimleri Dergisi, 7(2), 261-279.
• Barrick, M. R., & Mount, M. K. (1991). The Big Five Personality dimensions and job performance: A meta Analysis. Personnel psychology, 44(1), 1- 26. doi:10.1111/j.1744-6570.1991.tb00688.x
• Barrios-Borjas, D. A., Bejar-Ramos, V. A., & Cauchos-Mora, V. S. (2017). Excessive use of smartphones/cell phones: phubbing and nomofobia. Rev Chil Neuropsiquiatr, 55, 205-206. doi:10.4067/s0717-92272017000300205.
• Benvenuti, M., Błachnio, A., Przepiorka, A. M., Daskalova, V. M., & Mazzoni, E. (2020). Factors related to phone snubbing behavior in emerging adults: The phubbing phenomenon. In The psychology and dynamics behind social media interactions (pp. 164-187). IGI Global.
• Blachnio, A., & Przepiorka, A. (2019). Be aware! If you start using Facebook problematically you will feel lonely: Phubbing, loneliness, self-esteem, and Facebook intrusion. A cross-sectional study. Social Science Computer Review, 37(2), 270-278. doi:10.1177/0894439318754490
• Brañas-Garza, P., Capraro, V., & Ramírez, E. R. (2018). Gender differences in altruism on Mechanical Turk: Expectations and actual behaviour. Economics Letters, 170, 19–23. doi:10.1016/j.econlet.2018.05.022
• Broadbent, S. (2016). Intimacy at Work: How digital media bring private life to the workplace. New York: Routledge.
• Buckley, P., & Doyle, E. (2017). Individualising gamification: An investigation of the impact of learning styles and personality traits on the efficacy of gamification using a prediction market. Computers & Education, 106, 43-55. doi:10.1016/j.compedu.2016.11.009
• Büyüköztürk, Ş. (2014). Veri analizi el kitabı (2. Baskı). Pegem Akademi Yayıncılık: Ankara.
• Büyüköztürk, Ş., Çokluk, Ö. ve Köklü, N. (2010). Sosyal bilimler için istatistik (6. baskı). Ankara: Pegem A Yayınevi.
• Cameron, A. F., & Webster, J. (2011). Relational outcomes of multicom- municating: Integrating incivility and social exchange perspectives. Organization Science, 22, 754–771. doi:10.1287/orsc.1100.0540
• Chong, C. W., Teh, P. L., & Tan, B. C. (2014). Knowledge sharing among Malaysian universities’ students: do personality traits, class room and technological factors matter? Educational Studies, 40(1), 1-25. doi:10.1080/03055698.2013.825577
• Chotpitayasunondh, 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
• Çikrikci, Ö., Griffiths, M. D., & Erzen, E. (2019). Testing the mediating role of phubbing in the relationship between the Big Five personality traits and satisfaction with life. International Journal of Mental Health and Addiction, Published Online First doi:10.1007/s11469-019-00115-z
• Çizmeci, E. (2017). Disconnected, though satisfied: Phubbing behavior and relationship satisfaction. The Turkish Online Journal of Design, Art and Communication, 7(2), 364-375.
• Dalbudak, E., & Evren, C. (2014). The relationship of internet addiction severity with Attention Deficit Hyperactivity Disorder symptoms in Turkish University students; impact of personality traits, depression and anxiety. Comprehensive Psychiatry, 55(3) 497-503. doi:10.1016/j.comppsych.2013.11.018
• Davey S, Davey A., & Singh J. V. (2016) Emergence of problematic internet use among Indian adolescents: A multi method study. J Indian Assoc Child Adolesc Ment Health. 12(1), 60–78.
• Demirci, M. K., Özler, D. E., & Girgin, B. (2007). Beş Faktör Kişilik Modelinin İşyerinde Duygusal Tacize (Mobbing) Etkileri: Hastane İşletmelerinde Bir Uygulama. Journal of Azerbaijani Studies, 10(3) 13-39.
• Digman, J. M. (1990). Personality structure: Emergence of The Five-Factor Model. Annual Review of Psychology, 21, 417–440.
• Ehrenberg, A., Juckes, S., White, K. M., & Walsh, S. P. (2008). Personality and self-esteem as predictors of young people’s technology use. Cyberpsychology and Behavior, 11, 739–741. doi: 10.1089/cpb.2008.0030
• Erdheim, J., Wang, M., & Zickar, M. J. (2006). Linking The Big Five Personality constructs to organizational commitment. Personality and Individual Differences, 41, 959–970. doi:10.1016/j.paid.2006.04.005
• Erzen, E., Odaci, H., & Yeniçeri, İ. (2019). Phubbing: Which personality traits are prone to phubbing? Social Science Computer Review, Published Online First. doi:10.1177/0894439319847415.
• Floros, G., & Siomos, K. (2014). Excessive internet use and personality traits. Current Behavioral Neuroscience Reports, 1(1), 19-26. doi:10.1007/s40473-014-0006-1
• Goldberg, L. R. (1993). The structure of phenotypic personality traits, American Psychologist, 48(1), 26-34. doi:10.1037/0003-066X.48.1.26
• Gökdağ, R. (2018). Which one has priority in ınterpersonal communication? Individual or mobile phone. (Ed. Oze, N.). Public relations & communicatıon studies,(9-20). London: IJOPEC Publication.
• Green, B. S., & Salkınd J.N. (2010). Using SPSS for windows and macintosh: Analyzing and understanding data. Prentice Hall Press Upper Saddle River, NJ USA.
• Guazzini, A., Duradoni, M., Capelli, A., & Meringolo, P. (2019). “An explorative model to assess individuals’ phubbing risk”, Future Internet, 11(1), 21. doi:10.3390/fi11010021
• Gustavsson, J. P., Jönsson, E. G., Linder, J., &Weinryb, R. M. (2003). The HP5 inventory: definition and assessment of five health-relevant personality traits from a five-factor model perspective. Personality and Individual Differences, 35(1), 69-89. doi:10.1016/S0191-8869(02)00142-3
• Harwood, S., Anglim, J., & Tooley, G. (2015). "Type D Personality and The Five-Factor Model: A Facet-Level Analysis", Personality and Individual Differences, 83, 50-54. doi:10.1016/j.paid.2015.03.041
• Huck, S.W. (2008). Reading statistics and research, 5th Edition. Pearson Educational Inc., Allyn and Bacon: Boston - New York.
• İbrahimoğlu, N., Ünaldı, İ., Samancıoğlu, M., & Bağlıbe, M. (2013). The relationship between personality traits and learning styles: A cluster analysis. Asian Journal of Management Sciences and Education, 2(3), 93-108.
• Judge, T. A., Heller, D., & Mount, M. K. (2002). Five factor model of personality and job satisfaction: A meta-analysis, Journal of Applied Psychology, 87(3), 530–541. doi: 10.1037/0021-9010.87.3.530
• Kalaycı, Ş. (2010). Faktör analizi, (Ed. Şeref Kalaycı), SPSS uygulamalı çok değişkenli istatistik teknikleri, Beşinci Baskı, içinde (321-331), Ankara: Asil Yayın Dağıtım.
• Karadağ, E., Tosuntaş, Ş. B., Erzen, E., Duru, P., Bostan, N., Mızrak-Şahin, B., & Babadağ, B. (2016). Sanal dünyanın kronolojik bağımlılığı: Sosyotelizm (phubbing) Addicta. The Turkish Journal on Addiction, 3(2), 223-269. doi:10.15805/addicta.2016.3.0013
• Karadağ, E., Tosuntaş, Ş. B., Erzen, E., Duru, P., Bostan, N., Şahin, B. M. & Babadağ, B. (2015). Determinants of phubbing, which is the sum of many virtual addictions: A structural equation model. Journal of behavioral addictions, 4(2), 60-74. doi:10.1556/2006.4.2015.005
• Karasar, N. (2008). Bilimsel araştırma yöntemi. Ankara: Nobel.
• Karim, N. S. A., Zamzuri, N. H. A., & Nor, Y. M. (2009). Exploring the relationship between Internet ethics in university students and the big five model of personality. Computers ve Education, 53(1), 86-93. doi:10.1016/j.compedu.2009.01.001
• Kayiş, A. R., Satıcı, S. A., Yılmaz, 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
• Koole, S. L. (2009). The psychology of emotion regulation: an integrative review. (In J. D. Houwerand and D. Hermans (Eds), Cognition and emotion: Reviews of current research and theories, New York: Taylor & Francis Group, (s.128- 167).
• Kuss, 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. doi: 10.1016/j.chb.2013.04.002
• Lee, M., Murphy, K., & Andrews, G. (2019). Using media while interacting face-to-face is associated with psychosocial well-being and personality traits. Psychological Reports, 122(3), 944-967. doi: 10.1177/0033294118770357
• Luk, T. T., Wang, M. P., Shen, C., Wan, A., Chau, P. H., Oliffe, J., et al. (2018). Short version of the smartphone addiction scale in chinese adults: Psychometric properties, sociodemographic, and health behavioral correlates. Journal of Behavioral Addictions, 7(4), 1157-1165. doi:10.1556/2006.7.2018.105
• Lynam, D. R., & Miller, J. D. (2015). Psychopathy from a basic trait perspective: The utility of a five‐factor model approach. Journal of Personality, 83(6), 611-626. doi:10.1111/jopy.12132
• Macquarie Dictionary (2013). Erişim adresi: https://www.macmillandictionary.com/buzzword/entries/phubbing.html. 20.07.2020 tarihinde erişildi.
• Mayer, J. D., & Salovey, P. (1995). Emotional intelligence and the construction and regulation of feelings. Applied and Preventive Psychology, 4(3), 197-208. doi:10.1016/S0962-1849(05)80058-7
• McCrae, R. R., & Costa, P. T. (1991). The NEO personality inventory: Using the Five-Factor Model in counseling, Journal of Counseling and Development, 69, 367-372. doi: 10.1002/j.1556-6676.1991.tb01524.x
• McCrae, R. R., & John, O. P. (1992). An introduction to the Five-Factor Model and ıts applications, Journal of Personality, 60(2), 175-215. doi:10.1111/j.1467-6494.1992.tb00970.x
• McDaniel, B. T., & Coyne, S. M. (2016). Technoference: The interference of technology in couple relationships and implications for women's personal and relational well-being. Psychology of Popular Media Culture, 5(1), 85-98. doi:10.1037/ppm0000065.
• Merdan, E. (2013). Beş Faktör Kişilik Kuramı ile iş değerleri ilişkisinin incelenmesi: Bankacılık sektöründe bir araştırma, Gümüşhane Üniversitesi Sosyal Bilimler Elektronik Dergisi, 7, 141-159.
• Misra, S., Cheng, L., Genevie, J., & Yuan, M. (2016). The iphone effect: The quality of in-person social interactions in the presence of mobile devices. Environment and Behavior, 48(2), 275-298. doi:10.1177/0013916514539755
• Pervin, L. A. & John, O. P. (2013). Personality: Theory and research (12th ed.). Oxford: John Wiley and Sons.
• Rand, D.G., Brescoll, V.L., Everett, J.A., Capraro, V., & Barcelo, H. (2016). Social heuristics and social roles: Intuition favors altruism for women but not for men. Journal of Experimental Psychology: General, 145(4), 389–396. doi:10.1037/xge0000154.
• Ranie, L., & Zickuhr, K. (2015). Americans' Views on Mobile Etiquette. Washington DC: Pew Research Center.
• Richards, J. C., & Schmidt, R. (2002). Longman dictionary of language teaching and applied linguistics" (4th ed.). London: Pearson Education.
• Roberts, 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, 134–41. doi:10.1016/j.chb.2015.07.058.
• Roberts, 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
• Roberts, J. A., & Pirog III, S. F. (2013). A preliminary investigation of materialism and impulsiveness as predictors of technological addictions among young adults. Journal of Behavioral Addictions, 2(1), 56-62. doi: 10.1556/JBA.1.2012.011
• Rose-Krasnor, L., & Denham, S. (2009). Social-emotional competence in early childhood. In K. H. Rubin, W. M. Bukowski, & B. Laursen (Eds.), Handbook of peer interactions, relationships, and groups (pp. 162–179). New York, NY: The Guilford Press.
• Saucier, G., Tsaousis, I., Georgiades, S., & Goldberg, L. R. (2005). The factor structure of greek personality adjectives, Journal of Personality and Social Psychology, 88(5), 856- 875. doi:10.1037/0022-3514.88.5.856
• Servidio, 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. doi: 10.1016/j.chb.2014.02.024
• Tabachnick, B. G. & Fidell, L. S. (2013). Using multivariate statistics. Boston: Pearson
• Tangmunkongvorakul, A., Musumari, P.M., Thongpibul, K., Srithanaviboonchai, K., Techasrivichien, T., Suguimoto, S. P., & Kihara, M. (2019). Association of excessive smartphone use with psychological well-being among university students in Chiang Mai, Thailand. PloS one, 14(1), e0210294. doi: 10.1371/journal.pone.0210294
• Taş, İ., & Ayas, T. (2015). Lise öğrencilerinin internet bağımlılık düzeyinin kişilik özellikleriyle ilişkisi. International Journal of Human Sciences, 12(2) 150-162. doi:10.14687/ijhs.v12i1.3279
• T'ng, S. T., Ho, K. H., & Low, S. K. (2018). Are you “phubbing” me? The determinants of phubbing behavior and assessment of measurement invariance across sex differences. International and Multidisciplinary Journal of Social Sciences, 7(2), 159-190. doi:10.17583/rimcis.2018.3318
• Turkle, S. (2012). Alone together: Why we expect more from technology and less from each other. New York: Basic Books.
• Vanden-Abeele, M. M., 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
• Yıldız-Durak, H. (2019). Investigation of nomophobia and smartphone addiction predictors among adolescents in Turkey: Demographic variables and academic performance. The Social Science Journal, 56(4), 492-517. doi:10.1016/j.soscij.2018.09.003
• Zamani, 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
• Zhou, 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