Araştırma Makalesi
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NOMOFOBİNİN DAVRANIŞSAL ÖNCÜLLERİ: TÜRKİYE'DEKİ AKILLI TELEFON KULLANICILARI ÜZERİNE BİR ÇALIŞMADAN BULGULAR

Yıl 2024, Cilt: 15 Sayı: 30, 774 - 801, 30.12.2024
https://doi.org/10.36543/kauiibfd.2024.030

Öz

Bu çalışmanın amacı, bireylerin nomofobi düzeylerini belirlemek ve nomofobi ile demografik değişkenler arasındaki ilişkiyi incelemektir. Araştırma, farklı yaş grupları, cinsiyetler, eğitim düzeyleri ve sosyoekonomik statülerden katılımcıları kapsayan genel bir popülasyonu hedeflemektedir. Veriler, İstanbul ilinden katılımcılara uygulanan anketler aracılığıyla toplanmıştır. Toplanan veriler SMART PLS 3.0 programı kullanılarak analiz edilmiştir. Bulgular, örneklemdeki akıllı telefon kullanıcıları arasında sosyal kullanımın faydacıl motivasyon ve hazsal motivasyon üzerinde olumlu bir etkisi olmadığını, ancak sosyal motivasyonun sosyal kullanımı olumlu yönde etkilediğini ortaya koymuştur. Faydacıl motivasyon ve sosyal motivasyonun işlevsel kullanımı olumlu etkilediği, ancak hazsal motivasyonun etkisinin olmadığı sonucuna varılmıştır. İşlevsel kullanımın daha düşük bir nomofobi düzeyi ile ilişkili olduğu, sosyal kullanımın ise nomofobi üzerinde anlamlı bir etkisinin olmadığı görülmüştür. Kadınların erkeklere göre daha yüksek nomofobi düzeyine sahip oldukları, nomofobinin genç bireyler arasında daha yaygın olduğu ve günlük akıllı telefon kullanım süresi arttıkça nomofobi düzeyinin de arttığı belirlenmiştir

Kaynakça

  • Al-Barashdi, H. S., Bouazza, A., & Jabur, N. H. (2014). Smartphone addiction among university undergraduates: a literature review. Journal of Scientific Research and Reports, 4(3), 210–225.
  • 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.
  • Argumosa-Villar, L., Boada-Grau, J., & Vigil-Colet, A. (2017). Exploratory investigation of theoretical predictors of nomophobia using the Mobile Phone Involvement Questionnaire (MPIQ). Journal of Adolescence, 56, 127-135.
  • Arpaci, İ., Baloğlu, M., Kozan, H., & Kesici, Ş. (2017). Individual differences in the relationship between attachment and nomophobia among college students: the mediating role of mindfulness. Journal of Medical Internet Research, 19(12), e404.
  • Arslan, H., Tozkoparan, S., & Kurt, A. (2019). Öğretmenlerde mobil telefon yoksunluğu korkusunun ve gelişmeleri kaçırma korkusunun incelenmesi. Erzincan Üniversitesi Eğitim Fakültesi Dergisi, 21(3), 237-256.
  • Bandura, A. (1997). Social Cognitive Theory of self-regulation organizational behavior. Decision Processes, 50(2), 248-287.
  • Baumer, E. P. S., Ames, M. G., & Burrell, J. (2010). The implications of social context and context-aware computing for individual privacy. Personal and Ubiquitous Computing, 14, 371-382.
  • Beck, A. T. (1976). Cognitive therapy and the emotional disorders. International Universities Press.
  • Bianchi, A., & Phillips, J. G. (2005). Psychological predictors of problem mobile phone use. CyberPsychology & Behavior, 8(1), 39-51.
  • Carbonell, X., Oberst, U., & Beranuy, M. (2013). The cell phone in the twenty-first century: A risk for addiction or a necessary tool. Principles of Addiction, 1(1), 901-909.
  • Cheever, N. A., Rosen, L. D., Carrier, L. M., & Chavez, A. (2014). Out of sight is not out of mind: The impact of restricting wireless mobile device use on anxiety levels among low, moderate and high users. Computers in Human Behavior, 37, 290-297.
  • Choi, K., Son, H., Park, M., Han, J., Kim, K., Lee, B., & Gwak, H. (2009). Internet overuse and excessive daytime sleepiness in adolescents. Psychiatry and Clinical Neurosciences, 63(4), 455-462.
  • Chu, S. C., & Choi, S. M. (2011). Electronic word-of-mouth in social networking sites: A cross-cultural study of the United States and China. Journal of Global Marketing, 24(3), 263-281.
  • Clayton, R. B., Leshner, G., & Almond, A. (2015). The extended iSelf: The impact of iPhone separation on cognition, emotion, and physiology. Journal of Computer-Mediated Communication, 20(2), 119-135.
  • D'Arcy, J., Herath, T., & Shoss, M. K. (2014). Understanding employee responses to stressful information security requirements: A coping perspective. Journal of Management Information Systems, 31(2), 285-318.
  • De-Sola, J., Talledo, H., Rodríguez de Fonseca, F., & Rubio, G. (2017). Prevalence of problematic cell phone use in an adult population in Spain as assessed by the Mobile Phone Problem Use Scale (MPPUS). PLoS ONE, 12(8), e0181184.
  • Elhai, J. D., Levine, J. C., Dvorak, R. D., & Hall, B. J. (2017). Problematic smartphone use: A conceptual overview and systematic review of relations with anxiety and depression psychopathology. Journal of Affective Disorders, 207, 251-259.
  • Farchakh, Y., Hallit, R., Akel, M., Chalhoub, C., Hachem, M., Hallit, S., … & Obeid, S. (2021). Nomophobia in Lebanon: Scale validation and association with psychological aspects. Plos One, 16(4), e0249890.
  • Festinger, L. (1954). A theory of social comparison processes. Human Relations, 7(2), 117-140.
  • Fidan, H. (2016). Mobil Bağımlılık Ölçeği'nin geliştirilmesi ve geçerliliği: Bileşenler modeli yaklaşımı. Addicta: The Turkish Journal on Addictions, 3(3), 433-469.
  • Fuady, I., Priyansyah, R., Ernawati, E., & Prasanti, D. (2023). Validity and reliability tests on the nomophobia instrument with the rasch model. Indigenous Jurnal Ilmiah Psikologi, 7(3), 276-287.
  • Gentina, E., Maille, V., & Li, Z. (2023). A cross-national study of nomophobia among Brazilian, Chinese, French, and U.S. young people: The role of materialism. Journal of Cross-Cultural Psychology, 54(5), 547-573.
  • Gezgin, D. M., Cakir, O., & Yildirim, S. (2018). The relationship between levels of nomophobia prevalence and internet addiction among high school students: The factors influencing nomophobia. International Journal of Research in Education and Science, 4(1), 215-225.
  • Ghani, J. A., & Deshpande, S. P. (1994). Task characteristics and the experience of optimal flow in human-computer interaction. The Journal of Psychology, 128(4), 381-391.
  • Gibb, M., Willott, V., Lohar, S., Ward, S., Bolton, C., McAlinden, P., De-Soyza, A., & Singh, S. (2013). P48 An evaluation to understand the use of technology within a COPD population. Thorax, 68(3), A96-A97.
  • Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. The Journal of Marketing Theory and Practice, 19(2), 139-152.
  • Horwood, S., & Anglim, J. (2019). Problematic smartphone usage and subjective and psychological well-being. Computers in Human Behavior, 97, 44-52.
  • Huisman, A., Garretsen, H. F. L., & Van Den Eijnden, R. J. J. M. (2000). Problematisch Internetgebruik: Een Pilot Study in Rotterdam.
  • Kaysi, F., Aydemir, E., & Yavuz, M. (2021). Üniversite öğrencilerinin akıllı telefon bağımlılığına yönelik görüşlerinin incelenmesi. İstanbul Gelişim Üniversitesi Sosyal Bilimler Dergisi, 8(1), 79-92.
  • Kazem, A., Emam, M., Alrajhi, M., Aldhafri, S., AlBarashdi, H., & Al-Rashdi, B. (2021). Nomophobia in late childhood and early adolescence: The development and validation of a new interactive electronic nomophobia test. Trends in Psychology, 29(3), 543-562.
  • Kim, H. W., Mirusmonov, M., & Lee, H. C. (2010). An empirical examination of factors influencing the intention to use mobile payment. Computers in Human Behavior, 26(3), 310-322.
  • Kim, S. (2014). A study on the social media use of smart device based on social exchange theory: Focusing on the users of social network services. Information, 17(1), 97-104.
  • Kim, Y. H., Kim, D. J., & Wachter, K. (2013). A study of mobile user engagement (MoEN): Engagement motivations, perceived value, satisfaction, and continued engagement intention. Decision Support Systems, 56, 361-370.
  • King, A., Valença, A., & Nardi, A. (2010). Nomophobia: The mobile phone in panic disorder with agoraphobia. Cognitive and Behavioral Neurology, 23(1), 52-54.
  • King, A. L. S., Valença, A. M., Silva, A. C. O., Sancassiani, F., Machado, S., & Nardi, A. E. (2013). Nomophobia: Dependency on virtual environments or social phobia?. Computers in Human Behavior, 29(1), 140-144.
  • Kwon, M., Lee, J-Y., Won, W-Y., Park, J-W., Min, J-A., Hahn, C., Gu, X., Choi, J-H., & Kim, D-J. (2013). Development and validation of a smartphone addiction scale (SAS). PLoS ONE, 8(2), e56936.
  • LaRose, R., & Eastin, M. S. (2004). A social cognitive theory of internet uses and gratifications: Toward a new model of media attendance. Journal of Broadcasting & Electronic Media, 48(3), 358-377.
  • Lee, Y. K., Chang, C. T., Lin, Y., & Cheng, Z. H. (2014). The dark side of smartphone usage: Psychological traits, compulsive behavior and technostress. Computers in Human Behavior, 31, 373-383.
  • Lenhart, M., & Madden, M. (2007). Teens, privacy and online social networks. How teens manage their online identities and personal information in the age of MySpace. Pew Internet & American Life Project, 1-45.
  • Leung, L. (2014). Predicting internet risks: A longitudinal panel study of gratifications-sought, Internet addiction symptoms, and social media use among children and adolescents. Health Psychology and Behavioral Medicine, 2(1), 424-439.
  • Liang, T. P., Li, Y. W., & Turban, E. (2014). Personalized services as a medium of online interaction: User behaviors and perceptions. International Journal of Electronic Commerce, 18(3), 81-114.
  • Lin, Y., Fu, S., & Zhou, X. (2023). Unmasking the bright–dark duality of social media use on psychological well-being: a large-scale longitudinal study. Internet Research, 33(6), 2308-2355.
  • Lopez-Fernandez, O., Honrubia-Serrano, L., Freixa-Blanxart, M., & Gibson, W. (2014). Prevalence of problematic mobile phone use in British adolescents. CyberPsychology, Behavior, and Social Networking, 17(2), 91-98.
  • Merlo, L. J., Stone, A. M., & Bibbey, A. (2013). Measuring problematic mobile phone use: Development and preliminary psychometric properties of the PUMP scale. Journal of Addiction, 2013, 912807.
  • Metcalfe, J., & Mischel, W. (1999). A Hot/Cool-System analysis of delay of gratification: Dynamics of willpower. Psychological Review, 106(1), 3-19.
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  • 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.
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BEHAVIORAL ANTECEDENTS OF NOMOPHOBIA: INSIGHTS FROM A STUDY ON SMARTPHONE USERS IN TURKEY

Yıl 2024, Cilt: 15 Sayı: 30, 774 - 801, 30.12.2024
https://doi.org/10.36543/kauiibfd.2024.030

Öz

The aim of this study is to determine individuals' levels of nomophobia and to examine the relationship between nomophobia and demographic variables. The research targets a general population, encompassing participants from different age groups, genders, educational backgrounds, and socioeconomic statuses. Data were collected through surveys administered to participants from Istanbul. The collected data were analyzed using the SMART PLS 3.0 program. The findings revealed that among the sampled smartphone users, social usage had no positive impact on utilitarian motivation and hedonic motivation, while social motivation positively influenced social usage. It was inferred that utilitarian motivation and social motivation positively affected functional usage, whereas hedonic motivation did not. Functional usage was associated with lower levels of nomophobia, while social usage did not have a significant impact on nomophobia. The analysis also revealed that female participants exhibited higher levels of nomophobia compared to males, that nomophobia was more prevalent among younger individuals, and that nomophobia levels increased with daily smartphone usage.

Kaynakça

  • Al-Barashdi, H. S., Bouazza, A., & Jabur, N. H. (2014). Smartphone addiction among university undergraduates: a literature review. Journal of Scientific Research and Reports, 4(3), 210–225.
  • 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.
  • Argumosa-Villar, L., Boada-Grau, J., & Vigil-Colet, A. (2017). Exploratory investigation of theoretical predictors of nomophobia using the Mobile Phone Involvement Questionnaire (MPIQ). Journal of Adolescence, 56, 127-135.
  • Arpaci, İ., Baloğlu, M., Kozan, H., & Kesici, Ş. (2017). Individual differences in the relationship between attachment and nomophobia among college students: the mediating role of mindfulness. Journal of Medical Internet Research, 19(12), e404.
  • Arslan, H., Tozkoparan, S., & Kurt, A. (2019). Öğretmenlerde mobil telefon yoksunluğu korkusunun ve gelişmeleri kaçırma korkusunun incelenmesi. Erzincan Üniversitesi Eğitim Fakültesi Dergisi, 21(3), 237-256.
  • Bandura, A. (1997). Social Cognitive Theory of self-regulation organizational behavior. Decision Processes, 50(2), 248-287.
  • Baumer, E. P. S., Ames, M. G., & Burrell, J. (2010). The implications of social context and context-aware computing for individual privacy. Personal and Ubiquitous Computing, 14, 371-382.
  • Beck, A. T. (1976). Cognitive therapy and the emotional disorders. International Universities Press.
  • Bianchi, A., & Phillips, J. G. (2005). Psychological predictors of problem mobile phone use. CyberPsychology & Behavior, 8(1), 39-51.
  • Carbonell, X., Oberst, U., & Beranuy, M. (2013). The cell phone in the twenty-first century: A risk for addiction or a necessary tool. Principles of Addiction, 1(1), 901-909.
  • Cheever, N. A., Rosen, L. D., Carrier, L. M., & Chavez, A. (2014). Out of sight is not out of mind: The impact of restricting wireless mobile device use on anxiety levels among low, moderate and high users. Computers in Human Behavior, 37, 290-297.
  • Choi, K., Son, H., Park, M., Han, J., Kim, K., Lee, B., & Gwak, H. (2009). Internet overuse and excessive daytime sleepiness in adolescents. Psychiatry and Clinical Neurosciences, 63(4), 455-462.
  • Chu, S. C., & Choi, S. M. (2011). Electronic word-of-mouth in social networking sites: A cross-cultural study of the United States and China. Journal of Global Marketing, 24(3), 263-281.
  • Clayton, R. B., Leshner, G., & Almond, A. (2015). The extended iSelf: The impact of iPhone separation on cognition, emotion, and physiology. Journal of Computer-Mediated Communication, 20(2), 119-135.
  • D'Arcy, J., Herath, T., & Shoss, M. K. (2014). Understanding employee responses to stressful information security requirements: A coping perspective. Journal of Management Information Systems, 31(2), 285-318.
  • De-Sola, J., Talledo, H., Rodríguez de Fonseca, F., & Rubio, G. (2017). Prevalence of problematic cell phone use in an adult population in Spain as assessed by the Mobile Phone Problem Use Scale (MPPUS). PLoS ONE, 12(8), e0181184.
  • Elhai, J. D., Levine, J. C., Dvorak, R. D., & Hall, B. J. (2017). Problematic smartphone use: A conceptual overview and systematic review of relations with anxiety and depression psychopathology. Journal of Affective Disorders, 207, 251-259.
  • Farchakh, Y., Hallit, R., Akel, M., Chalhoub, C., Hachem, M., Hallit, S., … & Obeid, S. (2021). Nomophobia in Lebanon: Scale validation and association with psychological aspects. Plos One, 16(4), e0249890.
  • Festinger, L. (1954). A theory of social comparison processes. Human Relations, 7(2), 117-140.
  • Fidan, H. (2016). Mobil Bağımlılık Ölçeği'nin geliştirilmesi ve geçerliliği: Bileşenler modeli yaklaşımı. Addicta: The Turkish Journal on Addictions, 3(3), 433-469.
  • Fuady, I., Priyansyah, R., Ernawati, E., & Prasanti, D. (2023). Validity and reliability tests on the nomophobia instrument with the rasch model. Indigenous Jurnal Ilmiah Psikologi, 7(3), 276-287.
  • Gentina, E., Maille, V., & Li, Z. (2023). A cross-national study of nomophobia among Brazilian, Chinese, French, and U.S. young people: The role of materialism. Journal of Cross-Cultural Psychology, 54(5), 547-573.
  • Gezgin, D. M., Cakir, O., & Yildirim, S. (2018). The relationship between levels of nomophobia prevalence and internet addiction among high school students: The factors influencing nomophobia. International Journal of Research in Education and Science, 4(1), 215-225.
  • Ghani, J. A., & Deshpande, S. P. (1994). Task characteristics and the experience of optimal flow in human-computer interaction. The Journal of Psychology, 128(4), 381-391.
  • Gibb, M., Willott, V., Lohar, S., Ward, S., Bolton, C., McAlinden, P., De-Soyza, A., & Singh, S. (2013). P48 An evaluation to understand the use of technology within a COPD population. Thorax, 68(3), A96-A97.
  • Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. The Journal of Marketing Theory and Practice, 19(2), 139-152.
  • Horwood, S., & Anglim, J. (2019). Problematic smartphone usage and subjective and psychological well-being. Computers in Human Behavior, 97, 44-52.
  • Huisman, A., Garretsen, H. F. L., & Van Den Eijnden, R. J. J. M. (2000). Problematisch Internetgebruik: Een Pilot Study in Rotterdam.
  • Kaysi, F., Aydemir, E., & Yavuz, M. (2021). Üniversite öğrencilerinin akıllı telefon bağımlılığına yönelik görüşlerinin incelenmesi. İstanbul Gelişim Üniversitesi Sosyal Bilimler Dergisi, 8(1), 79-92.
  • Kazem, A., Emam, M., Alrajhi, M., Aldhafri, S., AlBarashdi, H., & Al-Rashdi, B. (2021). Nomophobia in late childhood and early adolescence: The development and validation of a new interactive electronic nomophobia test. Trends in Psychology, 29(3), 543-562.
  • Kim, H. W., Mirusmonov, M., & Lee, H. C. (2010). An empirical examination of factors influencing the intention to use mobile payment. Computers in Human Behavior, 26(3), 310-322.
  • Kim, S. (2014). A study on the social media use of smart device based on social exchange theory: Focusing on the users of social network services. Information, 17(1), 97-104.
  • Kim, Y. H., Kim, D. J., & Wachter, K. (2013). A study of mobile user engagement (MoEN): Engagement motivations, perceived value, satisfaction, and continued engagement intention. Decision Support Systems, 56, 361-370.
  • King, A., Valença, A., & Nardi, A. (2010). Nomophobia: The mobile phone in panic disorder with agoraphobia. Cognitive and Behavioral Neurology, 23(1), 52-54.
  • King, A. L. S., Valença, A. M., Silva, A. C. O., Sancassiani, F., Machado, S., & Nardi, A. E. (2013). Nomophobia: Dependency on virtual environments or social phobia?. Computers in Human Behavior, 29(1), 140-144.
  • Kwon, M., Lee, J-Y., Won, W-Y., Park, J-W., Min, J-A., Hahn, C., Gu, X., Choi, J-H., & Kim, D-J. (2013). Development and validation of a smartphone addiction scale (SAS). PLoS ONE, 8(2), e56936.
  • LaRose, R., & Eastin, M. S. (2004). A social cognitive theory of internet uses and gratifications: Toward a new model of media attendance. Journal of Broadcasting & Electronic Media, 48(3), 358-377.
  • Lee, Y. K., Chang, C. T., Lin, Y., & Cheng, Z. H. (2014). The dark side of smartphone usage: Psychological traits, compulsive behavior and technostress. Computers in Human Behavior, 31, 373-383.
  • Lenhart, M., & Madden, M. (2007). Teens, privacy and online social networks. How teens manage their online identities and personal information in the age of MySpace. Pew Internet & American Life Project, 1-45.
  • Leung, L. (2014). Predicting internet risks: A longitudinal panel study of gratifications-sought, Internet addiction symptoms, and social media use among children and adolescents. Health Psychology and Behavioral Medicine, 2(1), 424-439.
  • Liang, T. P., Li, Y. W., & Turban, E. (2014). Personalized services as a medium of online interaction: User behaviors and perceptions. International Journal of Electronic Commerce, 18(3), 81-114.
  • Lin, Y., Fu, S., & Zhou, X. (2023). Unmasking the bright–dark duality of social media use on psychological well-being: a large-scale longitudinal study. Internet Research, 33(6), 2308-2355.
  • Lopez-Fernandez, O., Honrubia-Serrano, L., Freixa-Blanxart, M., & Gibson, W. (2014). Prevalence of problematic mobile phone use in British adolescents. CyberPsychology, Behavior, and Social Networking, 17(2), 91-98.
  • Merlo, L. J., Stone, A. M., & Bibbey, A. (2013). Measuring problematic mobile phone use: Development and preliminary psychometric properties of the PUMP scale. Journal of Addiction, 2013, 912807.
  • Metcalfe, J., & Mischel, W. (1999). A Hot/Cool-System analysis of delay of gratification: Dynamics of willpower. Psychological Review, 106(1), 3-19.
  • Nielsen, P., & Fjuk, A. (2010). The reality beyond the hype: Mobile internet is primarily an extension of pc-based internet. The Information Society, 26(5), 375-382.
  • 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.
  • Okazaki, S., & Hirose, M. (2009). Does gender affect media choice in travel information search? On the use of Mobile Internet. Tourism Management, 30(6), 794-804.
  • Panova, T., & Carbonell, X. (2018). Is smartphone addiction really an addiction? Journal of Behavioral Addictions, 7(2), 252-259.
  • Park, C. (2019). Mobile phone addiction in the workplace: Does coworker phubbing reduce work performance? Journal of Business Research, 95, 114-122.
  • Park, N., & Lee, H. (2012). Social implications of smartphone use: Korean college students’ smartphone use patterns and satisfaction. Computers in Human Behavior, 29(6), 2106-2113.
  • Pavithra, M. B., Madhukumar, S., & Mahadeva, M. (2015). A study on nomophobia-mobile phone dependence, among students of a medical college in Bangalore. National Journal of Community Medicine, 6(3), 340-344.
  • Pempek, T. A., Yermolayeva, Y. A., & Calvert, S. L. (2009). College students social networking experiences on Facebook. Journal of Applied Developmental Psychology, 30(3), 227-238.
  • Quan-Haase, A., & Young, A. L. (2010). Uses and gratifications of social media: A comparison of Facebook and instant messaging. Bulletin of Science, Technology & Society, 30(5), 350-361.
  • Reid, D. J., & Reid, F. J. (2007). Text or talk? Social anxiety, loneliness, and divergent preferences for cell phone use. CyberPsychology & Behavior, 10(3), 424-435.
  • Ringle, C. M., Wende, S., & Becker, J. M. (2015). SmartPLS 3. Boenningstedt: SmartPLS GmbH. Rush, S. (2011). Problematic use of smartphones in the workplace: An introductory study. Rockhampton: Central Queensland University.
  • Samaha, M., & Hawi, N. S. (2016). Relationships among smartphone addiction, stress, academic performance, and satisfaction with life. Computers in Human Behavior, 57, 321–325.
  • Sayrs, E. (2013). The effects of smartphone use on cognitive and social functions. ABD: Colorado Üniversitesi.
  • Shaffer, H. J. (1996). Understanding the means and objects of addiction: Technology, the internet, and gambling. Journal of Gambling Studies, 12(4), 461-469.
  • Shin, D. H., & Shin, Y. J. (2016). Understanding motivations for social network activities: Role of trust, sociality, and self-presentation. Journal of Information Technology Management, 27(1), 26-39.
  • Tajfel, H., & Turner, J. C. (1986). The social identity theory of intergroup behavior. In S. Worchel & W. G. Austin (Eds.), Psychology of intergroup relations (pp. 7-24). Nelson-Hall.
  • Tams, S., Legoux, R., & Léger, P. M. (2018). Smartphone withdrawal creates stress: A moderated mediation model of nomophobia, social threat, and phone withdrawal context. Computers in Human Behavior, 81, 1-9.
  • Tolan, Ö. (2022). The relationship between nomophobia and depression, anxiety and stress levels of university students. International Journal of Psychology and Educational Studies, 9(1), 115-129.
  • Torpil, B., Bahadir, Z., Yilmaz, G., & Pekçetin, S. (2022). Comparison of sleep quality and sleepiness in university students with different levels of nomophobia. International Journal of Disabilities Sports & Health Sciences, 5(1), 9-15.
  • Tuna, F. (2016). Sosyal Bilimler İçin İstatistik. Ankara: Pegem Akademi.
  • Turel, O., Serenko, A., & Bontis, N. (2010). Family and social influences on Internet addiction: A study of information technology abuse in an emerging economy. Journal of Global Information Management, 18(2), 26-44.
  • Whang, L. S. M., Lee, S., & Chang, G. (2003). Internet over-users' psychological profiles: A behavior sampling analysis on internet addiction. Cyberpsychology & Behavior, 6(2), 143-150.
  • Yen, C. F., Tang, T. C., Yen, J. Y., Lin, H. C., Huang, C. F., Liu, S. C., & Ko, C. H. (2009). Symptoms of problematic cellular phone use, functional impairment and it’s association with depression among adolescents in Southern Taiwan. Journal of Adolescence, 32(4), 863-873.
  • Yildirim, C., & Correia, A. P. (2015). Exploring the dimensions of nomophobia: Development and validation of a self-reported questionnaire. Computers in Human Behavior, 49, 130-137.
  • Yilmaz, E., Yel, S., & Griffiths, M. D. (2018). The impact of heavy (excessive) video gaming students on peers and teachers in the school environment: A qualitative study. Addicta: The Turkish Journal on Addiction, 5, 147–161.
  • Young, K. S. (1999). Internet addiction: Symptoms, evaluation, and treatment innovations in clinical practice. FL: Professional Resource Press.
  • Valenti, G. (2023). Assessing the two sources of construct-relevant psychometric multidimensionality of the nomophobia questionnaire: the integrated framework of bifactor exploratory structural equation modeling. Evaluation & the Health Professions, 47(1), 52-65.
  • Van Deursen, A. J., Bolle, C. L., Hegner, S. M., & Kommers, P. A. (2015). Modelling habitual and addictive smartphone behavior: The role of smartphone usage types, emotional intelligence, social stress, self-regulation, age, and gender. Computers in Human Behavior, 45, 411-420.
Toplam 73 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Nicel Karar Yöntemleri
Bölüm Makaleler
Yazarlar

Dilara Can 0000-0001-8524-3375

Üstün Özen 0000-0002-7595-4306

Yayımlanma Tarihi 30 Aralık 2024
Gönderilme Tarihi 10 Temmuz 2024
Kabul Tarihi 19 Aralık 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 15 Sayı: 30

Kaynak Göster

APA Can, D., & Özen, Ü. (2024). BEHAVIORAL ANTECEDENTS OF NOMOPHOBIA: INSIGHTS FROM A STUDY ON SMARTPHONE USERS IN TURKEY. Kafkas Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Dergisi, 15(30), 774-801. https://doi.org/10.36543/kauiibfd.2024.030

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