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Internet addiction among college students: Some causes and effects

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Abstract

Internet addiction among college students in terms of causes and effects are investigated. Correlation study method is utilized; structural equation modelling is applied to analyze the data. There are fifteen hypotheses generated for the model. The data is collected via numerous instruments proven as reliable and valid by the previous studies. There are 159 undergraduate students as participants of the study. Antecedent variables are game addiction, bad relationships with friends, family and professors, neglecting daily chores, hindrance of sleep pattern, use internet for researching, weekly internet use hours, leisure time activities, reading and playing computer games. Consequence variables are self-esteem, self-confidence, social self-efficacy, loneliness, and academic self-efficacy. The results indicates that game addiction, neglecting daily chores, bad relationships with professors are significantly associated with internet addiction. Internet addiction decreases one’s self-esteem, self-confidence, social self-efficacy, academic self-efficacy and triggers loneliness. Parents, professors and educational institutions may be illuminated about prevention or monitoring of internet addiction. The current study investigates Internet addiction with respect to its implications for social behavioral, and psychological phenomenon but not in a clinical sense. Hence, studies on Internet addiction merely concentrate on antecedents and features that may cause more addiction; however, both antecedents and consequences are not examined. The value of the current study is to provide more systematic, comprehensive, and theory-based empirical causations via structural equation models. The model may help to diagnose Internet Addiction and illuminate college students its potential harmful socio-psychological consequences.

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References

  • Adiele, I., & Olatokun, W. (2014). Prevalence and determinants of Internet addiction among adolescents. Computers in Human Behavior, 31, 100–110.

    Article  Google Scholar 

  • Akın, A. (2007). “Öz-güven Ölçeğinin Geliştirilmesi ve Psikometrik Özellikleri” [The development and psychometric characteristics of the self-confidence scale]. Abant İzzet Baysal Üniversitesi Eğitim Fakültesi Dergisi, 7(2), 167–176.

    MathSciNet  Google Scholar 

  • Armstrong, L., Phillips, J. G., & Saling, L. L. (2000). Potential determinants of heavier internet usage. International Journal of Human-Computer Studies, 53(4), 537–550.

    Google Scholar 

  • Bai, Y.-M., Lin, C.-C., & Chen, J.-Y. (2001). Internet addiction disorder among clients of a virtual clinic. Psychiatric Services, 52(10), 1397–1397.

    Article  Google Scholar 

  • Beard, K. W. (2005). Internet addiction: A review of current assessment techniques and potential assessment questions. Cyberpsychology & Behavior, 8(1), 7–14.

    Article  MathSciNet  Google Scholar 

  • Beard, K. W., & Wolf, E. M. (2001). Modification in the proposed diagnostic criteria for internet addiction. Cyberpsychology & Behavior, 4(3), 377–383.

    Article  Google Scholar 

  • Berry, M. J. A., & Linoff, G. S. (2000). Mastering data mining. New York: Wiley.

    Google Scholar 

  • Brown, T. A. (2014). Confirmatory factor analysis for applied research. New York: Guilford Publications.

    Google Scholar 

  • Byrne, B. M. (2013). Structural equation modeling with LISREL, PR, and SIMPLIS: Basic concepts, applications, and programming. Mahwah: Psychology Press.

    Book  Google Scholar 

  • Byrne, B. (2016). Structural equation modeling with AMOS. New York: Routledge. https://doi.org/10.4324/9781315757421.

  • Byun, S., Ruffini, C., Mills, J. E., Douglas, A. C., Niang, M., Stepchenkova, S., & Atallah, M. (2009). Internet addiction: Metasynthesis of 1996-2006 quantitative research. Cyberpsychology & Behavior, 12(2), 203–207.

    Article  Google Scholar 

  • Çakır, Ö., Ayas, T., & Horzum, M. B. (2011). An investigation of university students’ internet and game addiction with respect to several variables. Ankara University, Journal of Faculty of Educational Sciences, 44(2), 95–117.

    Google Scholar 

  • Cao, F., & Su, L. (2007). Internet addiction among Chinese adolescents: Prevalence and psychological features. Child: Care, Health and Development, 33(3), 275–281.

    Google Scholar 

  • Caplan, S. E. (2002). Problematic internet use and psychosocial well-being: Development of a theory-based cognitive–behavioral measurement instrument. Computers in Human Behavior, 18(5), 553–575.

    Article  Google Scholar 

  • Caplan, S. E. (2003). Preference for online social interaction a theory of problematic internet use and psychosocial well-being. Communication Research, 30(6), 625–648.

    Article  Google Scholar 

  • Caplan, S. E. (2005). A social skill account of problematic internet use. Journal of Communication, 55(4), 721–736.

    Article  Google Scholar 

  • Carli, V., Durkee, T., Wasserman, D., Hadlaczky, G., Despalins, R., Kramarz, E., et al. (2012). The association between pathological internet use and comorbid psychopathology: A systematic review. Psychopathology, 46(1), 1–13.

    Article  Google Scholar 

  • Chak, K., & Leung, L. (2004). Shyness and locus of control as predictors of internet addiction and internet use. Cyberpsychology & Behavior, 7(5), 559–570.

  • Chen, Y.-F., & Peng, S. S. (2008). University students' internet use and its relationships with academic performance, interpersonal relationships, psychosocial adjustment, and self-evaluation. Cyberpsychology & Behavior, 11(4), 467–469.

    Article  Google Scholar 

  • Chou, C. (2001). Internet heavy use and addiction among Taiwanese college students: An online interview study. Cyberpsychology & Behavior, 4(5), 573–585.

    Article  Google Scholar 

  • Chou, C., Condron, L., & Belland, J. C. (2005). A review of the research on internet addiction. Educational Psychology Review, 17(4), 363–388.

    Article  Google Scholar 

  • Cole, S. H., & Hooley, J. M. (2013). Clinical and personality correlates of MMO gaming: Anxiety and absorption in problematic internet use. Social Science Computer Review, 31(4), 424–436.

    Article  Google Scholar 

  • Creswell, J. W. (2012). Educational research: Planning, conducting, and evaluating quantitative (4th ed.). Boston: Pearson.

    Google Scholar 

  • D.E.A.R. (n.d.). Drop Everything and Read, available at: http://www.dropeverythingandread.com/NationalDEARday.html. Accessed 3 Sep 2015.

  • Demetrovics, Z., Szeredi, B., & Rózsa, S. (2008). The three-factor model of internet addiction: The development of the problematic internet use questionnaire. Behavior Research Methods, 40(2), 563–574.

    Article  Google Scholar 

  • Demir, A. (1989). UCLA Yalnızlık Ölçeği’nin Geçerlik ve Güvenirliği. Psikoloji Dergisi, 7(23), 14–18.

    Google Scholar 

  • Dhir, A., Chen, S., & Nieminen, M. (2015). Psychometric validation of the compulsive internet use scale relationship with adolescents’ demographics, ICT accessibility, and problematic ICT use. Social Science Computer Review, 34(2), 197–214.

    Article  Google Scholar 

  • Diamantopoulos, A., & Siguaw, J. A. (2013). Introducing LISREL: A guide for the uninitiated. London: Sage Publications.

  • DiNicola, M. D. (2004). Pathological internet use among college students: The prevalence of pathological internet use and its correlates. Diss. Ohio University, Ohio, US.

  • Doğan, A. (2013). İnternet Bağımlılığı Yaygınlığı [Prevalence of Internet Addiction]. Unpublished Manuscript, Dokuz Eylül University, İzmir, Turkey.

  • Fanning, P., & O'Neill, J. T. (1996). The addiction workbook: A step-by-step guide for quitting alcohol and drugs. Oakland: New Harbinger Publications.

    Google Scholar 

  • Ferraro, G., Caci, B., D'amico, A., & Blasi, M. D. (2006). Internet addiction disorder: An Italian study. Cyberpsychology & Behavior, 10(2), 170–175.

    Article  Google Scholar 

  • Ghassemzadeh, L., Shahraray, M., & Moradi, A. (2008). Prevalence of internet addiction and comparison of internet addicts and non-addicts in Iranian high schools. Cyberpsychology & Behavior, 11(6), 731–733.

    Article  Google Scholar 

  • Griffiths, M. D. (1991). Amusement machine playing in childhood and adolescence: A comparative analysis of video games and fruit machines. Journal of Adolescence, 14(1), 53–73.

    Article  Google Scholar 

  • Griffiths, M. D. (2000). Does internet and computer "addiction" exist? Some case study evidence. CyberPsychology and Behavior, 3(2), 211–218.

    Article  Google Scholar 

  • Griffiths, M. D. (2008). Videogame addiction: Further thoughts and observations. International Journal of Mental Health and Addiction, 6(2), 182–185.

    Article  Google Scholar 

  • Griffiths, M., Kuss, J. D., & King, D. L. (2012). Video game addiction: Past, present and future. Current Psychiatry Reviews, 8(4), 308–318.

    Article  Google Scholar 

  • Günüç, S. (2009). İnternet bağımlılık ölçeğinin geliştirilmesi ve bazı demografik değişkenler ile internet bağımlılığı arasındaki ilişkilerin incelenmesi [Development of Internet Addiction Scale and scrutinising the relations between the internet addiction and some demographic variables], Master Thesis, Yüzüncü Yıl University, Van, Turkey.

  • Günüç, S. (2015). Relationships and associations between video game and internet addictions: Is tolerance a symptom seen in all conditions. Computers in Human Behavior, 49(C), 517–525.

    Article  Google Scholar 

  • Han, J., & Kamber, M. (2000). Data mining: Concepts and techniques. New York: Morgan-Kaufman.

    MATH  Google Scholar 

  • Hooper, D., Coughlan, J., & Mullen, M. R. (2008). Structural equation modelling: Guidelines for determining model fit. Electronic Journal of Business Research Methods, 6(1), 53–60.

    Google Scholar 

  • Horzum, M. B., Aras, T., & Çakır Balta, Ö. (2008). Çocuklar için Bilgisayar Oyun Bağımlılığı Ölçeği. Türk Psikolojik Danışma ve Rehberlik Dergisi, 3(30), 76–88.

    Google Scholar 

  • 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.

    Google Scholar 

  • Huang, R. L., Lu, Z., Liu, J. J., You, Y. M., Pan, Z. Q., Wei, Z., He, Q., & Wang, Z. Z. (2009). Features and predictors of problematic internet use in Chinese college students. Behaviour & Information Technology, 28(5), 485–490.

    Article  Google Scholar 

  • Jerusalem, M., & Schwarzer, R. (1981). “Fragebogen zur Erfassung von” Selbstwirksamkeit. Skalen zur Befindlichkeit und Persoenlichkeit. Forschungsbericht No. 5. Berlin: Freie Universitaet, Institut fuer Psychologie.

  • Jiang, Q. (2014). Internet addiction among young people in China: Internet connectedness, online gaming, and academic performance decrement. Internet Research, 24(1), 2–20.

    Article  Google Scholar 

  • Jiang, Q., & Leung, L. (2012). Effects of individual differences, awareness-knowledge, and acceptance of internet addiction as a health risk on willingness to change internet habits. Social Science Computer Review, 30(2), 170–183.

    Article  Google Scholar 

  • Johansson, A., & Götestam, K. G. (2004). Internet addiction: Characteristics of a questionnaire and prevalence in Norwegian youth (12–18 years). Scandinavian Journal of Psychology, 45(3), 223–229.

    Article  Google Scholar 

  • Kandell, J. J. (1998). Internet addiction on campus: The vulnerability of college students. Cyberpsychology & Behavior, 1(1), 11–17.

    Article  Google Scholar 

  • Keller, J. M. (1987). The systematic process of motivational design. Performance and Instruction, 26(9–10), 1–8.

    Google Scholar 

  • Keller, J. M. (2009). Motivational Design for Learning and Performance: The ARCS model approach. New York: Springer Science & Business Media.

    Google Scholar 

  • Kim, J., LaRose, R., & Peng, W. (2009). Loneliness as the cause and the effect of problematic internet use: The relationship between internet use and psychological well-being. Cyberpsychology & Behavior, 12(4), 451–455.

    Article  Google Scholar 

  • Ko, C.-H., Yen, J.-Y., Chen, C.-C., Chen, S.-H., & Yen, C.-F. (2005). Gender differences and related factors affecting online gaming addiction among Taiwanese adolescents. The Journal of Nervous and Mental Disease, 193(4), 273–277.

    Article  Google Scholar 

  • Ko, C.-H., Yen, J.-Y., Yen, C.-F., Lin, H.-C., & Yang, M.-J. (2007). Factors predictive for incidence and remission of internet addiction in Young adolescents: A prospective study. Cyberpsychology & Behavior, 10(4), 545–551.

    Article  Google Scholar 

  • Ko, C.-H., Yen, J.-Y., Chen, S.-H., Yang, M.-J., Lin, H.-C., & Yen, C.-F. (2009). Proposed diagnostic criteria and the screening and diagnosing tool of internet addiction in college students. Comprehensive Psychiatry, 50(4), 378–384.

    Article  Google Scholar 

  • Ko, C. H., Wang, P. W., Liu, T. L., Yen, C. F., Chen, C. S., & Yen, J. Y. (2014). Bidirectional associations between family factors and internet addiction among adolescents in a prospective investigation. Psychiatry and Clinical Neurosciences, 69(4), 192–200.

    Article  Google Scholar 

  • Kormas, G., Critselis, E., Janikian, M., Kafetzis, D., & Tsitsika, A. (2011). Risk factors and psychosocial characteristics of potential problematic and problematic internet use among adolescents: A cross-sectional study. BMC Public Health, 11, 595.

    Article  Google Scholar 

  • Kraut, R., Patterson, M., Lundmark, V., Kiesler, S., Mukophadhyay, T., & Scherlis, W. (1998). Internet paradox. A social technology that reduces social involvement and psychological well-being? American Psychologist, 53(9), 1017–1031.

    Article  Google Scholar 

  • Kubey, R. W., Lavin, M. J., & Barrows, J. R. (2001). Internet use and collegiate academic performance decrements: Early findings. Journal of Communication, 51(2), 366–382.

    Article  Google Scholar 

  • Kurtaran, G. T. (2008). Examining the variables predicted internet addiction. Master’s Thesis, Mersin University, Mersin, Turkey.

  • Kuss, D. J., Griffiths, M. D., Karila, L., & Billieux, J. (2014). Internet addiction: A systematic review of epidemiological research for the last decade. Current Pharmaceutical Design, 20(25), 4026–4052.

    Article  Google Scholar 

  • Lei, L., & Hongli, L. (2003). Definition and measurement on pathological internet use. Advances in Psychological Science, 11(01), 73–77.

    Google Scholar 

  • Leung, L., & Lee, P. S. (2012). Impact of internet literacy, internet addiction symptoms, and internet activities on academic performance. Social Science Computer Review, 30(4), 403–418.

    Article  MathSciNet  Google Scholar 

  • Liu, C.-Y., & Kuo, F.-Y. (2007). A study of internet addiction through the lens of the interpersonal theory. Cyberpsychology & Behavior, 10(6), 799–804.

    Article  Google Scholar 

  • Loytsker, J., & Aiello, J. R. (1997). Internet addiction and its personality correlates. Poster presented at the annual meeting of the Eastern Psychological Association, Washington, DC Vol. 11.

  • Miles, J., & Shevlin, M. (2007). A time and a place for incremental fit indices. Personality and Individual Differences, 42(5), 869–874.

    Article  Google Scholar 

  • Morahan-Martin, J. (1999). The relationship between loneliness and internet use and abuse. Cyberpsychology & Behavior, 2(5), 431–439.

    Article  Google Scholar 

  • Morahan-Martin, J., & Schumacher, P. (2000). Incidence and correlates of pathological internet use among college students. Computers in Human Behavior, 16(1), 13–29.

    Article  Google Scholar 

  • Müller, K. W., Glaesmer, H., Brähler, E., Woelfling, K., & Beutel, M. E. (2014). Prevalence of internet addiction in the general population: Results from a German population-based survey. Behaviour & Information Technology, 33(7), 757–766.

    Article  Google Scholar 

  • Nalwa, K., & Anand, A. P. (2003). Internet addiction in students: A cause of concern. Cyberpsychology & Behavior, 6(6), 653–656.

    Article  Google Scholar 

  • Ni, X., Yan, H., Chen, S., & Liu, Z. (2009). Factors influencing internet addiction in a sample of Freshmen University students in China. Cyberpsychology & Behavior, 12(3), 327–330.

    Article  Google Scholar 

  • Park, S. K., Kim, J. Y., & Cho, C. B. (2007). Prevalence of internet addiction and correlations with family factors among south Korean adolescents. Adolescence, 43(172), 895–909.

    Google Scholar 

  • Pişkin, M. (1996). Self-esteem and locus of control of secondary school children both in England and Turkey. Ph.D. Thesis, University of Leicester.

  • Pratarelli, M. E., Browne, B. L., & Johnson, K. (1999). The bits and bytes of computer/internet addiction: A factor analytic approach. Behavior Research Methods, Instruments, & Computers, 31(2), 305–314.

    Article  Google Scholar 

  • Prisbell, M. (1988). Dating competence as related to levels of loneliness. Communication Reports, 1(2), 54–59.

    Article  Google Scholar 

  • Rehbein, F., & Mößle, T. (2013). Video game and internet addiction: Is there a need for differentiation? SUCHT-Zeitschrift Für Wissenschaft Und Praxis/Journal of Addiction Research and Practice, 59(3), 129–142.

    Article  Google Scholar 

  • Rumpf, H. J., Vermulst, A. A., Bischof, A., Kastirke, N., Gürtler, D., Bischof, G., Meerkerk, G. J., John, U., & Meyer, C. (2014). Occurence of internet addiction in a general population sample: A latent class analysis. European Addiction Research, 20(4), 159–166.

    Article  Google Scholar 

  • Russell, D. W. (1996). UCLA loneliness scale (version 3): Reliability, validity, and factor structure. Journal of Personality Assessment, 66(1), 20–40.

    Article  Google Scholar 

  • Russell, D. W., Peplau, L. A., & Ferguson, M. L. (1978). Developing a measure of loneliness. Journal of Personality Assessment, 42(3), 290–294.

    Article  Google Scholar 

  • Sanders, C. E., Field, T. M., Diego, M., & Kaplan, M. (2000). The relationship of internet use to depression and social isolation among adolescents. Adolescence, 35(138), 237–242.

    Google Scholar 

  • Sherer, K. (1997). College life on-line: Healthy and unhealthy internet use. Journal of College Student Development, 38(6), 655–665.

    Google Scholar 

  • Shotton, M. A. (1991). The costs and benefits of ‘computer addiction’. Behaviour & Information Technology, 10(3), 219–230.

    Article  Google Scholar 

  • Sinkkonen, H.-M., Puhakka, H., & Meriläinen, M. (2014). Internet use and addiction among Finnish adolescents (15-19 years). Journal of Adolescence, 37(2), 123–131.

    Article  Google Scholar 

  • Siomos, K. E., Dafouli, E. D., Braimiotis, D. A., Mouzas, O. D., & Angelopoulos, N. V. (2008). Internet addiction among Greek adolescent students. Cyberpsychology & Behavior, 11(6), 653–657.

    Article  Google Scholar 

  • Smahel, D., Brown, B. B., & Blinka, L. (2012). Associations between online friendship and internet addiction among adolescents and emerging adults. Developmental Psychology, 48(2), 381–388.

    Article  Google Scholar 

  • Stats, I. W. (2014). World Internet Users and 2014 Population Stats available at: http://www.internetworldstats.com/stats.htm. Accessed 02 March 2015.

  • Steiger, J. H. (2007). Understanding the limitations of global fit assessment in structural equation modeling. Personality and Individual Differences, 42(5), 893–898.

    Article  Google Scholar 

  • Suler, J. (2004). Computer and cyberspace “addiction”. International Journal of Applied Psychoanalytic Studies, 1(4), 359–362.

    Article  Google Scholar 

  • Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics (5th ed.). Boston: Allyn & Bacon.

    Google Scholar 

  • Tahiroglu, A. Y., Celik, G. G., Uzel, M., Ozcan, N., & Avci, A. (2008). Internet use among Turkish adolescents. Cyberpsychology & Behavior, 11(5), 537–543.

    Article  Google Scholar 

  • Tang, 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(3), 744–747.

    Article  Google Scholar 

  • Tokunaga, R. S., & Rains, S. A. (2010). An evaluation of two characterizations of the relationships between problematic internet use, time spent using the internet, and psychosocial problems. Human Communication Research, 36(4), 512–545.

    Article  Google Scholar 

  • Tsai, C.-C., & Lin, S. S. (2001). Analysis of attitudes toward computer networks and internet addiction of Taiwanese adolescents. Cyberpsychology & Behavior, 4(3), 373–376.

    Article  Google Scholar 

  • Vidyachathoth, K. B., Kumar, N. A., & Pai, S. R. (2014). Correlation between affect and internet addiction in undergraduate medical students in Mangalore. Journal of Addiction Research & Therapy, 5(1), 175–178.

    Google Scholar 

  • Walker, M. B. (1989). Some problems with the concept of “gambling addiction”: Should theories of addiction be generalized to include excessive gambling? Journal of Gambling Behavior, 5(3), 179–200.

    Article  MathSciNet  Google Scholar 

  • Wallace, P. (2014). Internet addiction disorder and youth. EMBO Reports, 15(1), 12–16.

    Article  MathSciNet  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Wheaton, B., Muthen, B., Alwin, D. F., & Summers, G. F. (1977). Assessing reliability and stability in panel models. Sociological Methodology, 8, 84–136.

    Article  Google Scholar 

  • Widyanto, L., & Griffiths, M. (2006). ‘Internet addiction’: A critical review. International Journal of Mental Health and Addiction, 4(1), 31–51.

    Article  Google Scholar 

  • Widyanto, L., & McMurran, M. (2004). The psychometric properties of the internet addiction test. Cyberpsychology & Behavior, 7(4), 443–450.

    Article  Google Scholar 

  • Witten, I. H., & Frank, E. (2000). Data mining. New York: Morgan-Kaufmann.

    MATH  Google Scholar 

  • Yan, W., Li, Y., & Sui, N. (2014). The relationship between recent stressful life events, personality traits, perceived family functioning and internet addiction among college students. Stress and Health, 30(1), 3–11.

    Article  Google Scholar 

  • Yang, L., Sun, L., Zhang, Z., Sun, Y., Wu, H., & Ye, D. (2014). Internet addiction, adolescent depression, and the mediating role of life events: Finding from a sample of Chinese adolescents. International Journal of Psychology, 49(5), 342–347.

    Article  Google Scholar 

  • Yao, M. Z., & Zhong, Z.-J. (2014). Loneliness, social contacts and Internet addiction: A cross-lagged panel study. Computers in Human Behavior, 30, 164–170.

    Article  Google Scholar 

  • Yao, M. Z., He, J., Ko, D. M., & Pang, K. (2014). The influence of personality, parental behaviors, and self-esteem on internet addiction: A study of Chinese college students. Cyberpsychology, Behavior and Social Networking, 17(2), 104–110.

    Article  Google Scholar 

  • Yen, J.-Y., Yen, C.-F., Chen, C.-C., Chen, S.-H., & Ko, C.-H. (2007). Family factors of internet addiction and substance use experience in Taiwanese adolescents. Cyberpsychology & Behavior, 10(3), 323–329.

    Article  Google Scholar 

  • Yen, C.-F., Chou, W.-J., Liu, T.-L., Yang, P., & Hu, H.-F. (2014). The Association of Internet Addiction Symptoms with anxiety, depression and self-esteem among adolescents with attention-deficit/hyperactivity disorder. Comprehensive Psychiatry, 55(7), 1601–1608.

    Article  Google Scholar 

  • Yılmaz, M., Gürçay, D., & Ekici, G. (2007). Akademik özyeterlik ölçeğinin Türkçe’ye uyarlanması. Hacettepe Üniversitesi Eğitim Fakültesi Dergisi, 33, 253–259.

    Google Scholar 

  • Young, K. S. (1998a). Caught in the net: How to recognize the signs of internet addiction--and a winning strategy for recovery. New York: Wiley.

    Google Scholar 

  • Young, K. S. (1998b). Internet addiction: The emergence of a new clinical disorder. Cyberpsychology & Behavior, 1(3), 237–244.

    Article  Google Scholar 

  • Young, K. S. (1999). Internet addiction: Symptoms, evaluation and treatment. In Innovations in clinical practice: A source book (Vol. 17, pp. 19–31).

    Google Scholar 

  • Young, K. S., & Rodgers, R. C. (1998). Internet addiction: Personality traits associated with its development. In Paper presented at the 69th annual meeting of the Eastern Psychological Association, Boston.

    Google Scholar 

  • Young, K. S., & Rogers, R. C. (1998). The relationship between depression and internet addiction. Cyberpsychology & Behavior, 1(1), 25–28.

    Article  Google Scholar 

  • Yung, K., Eickhoff, E., Davis, D. L., Klam, W. P., & Doan, A. P. (2015). Internet addiction disorder and problematic use of Google glass™ in patient treated at a residential substance abuse treatment program. Addictive Behaviors, 41, 58–60.

    Article  Google Scholar 

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Baturay, M.H., Toker, S. Internet addiction among college students: Some causes and effects. Educ Inf Technol 24, 2863–2885 (2019). https://doi.org/10.1007/s10639-019-09894-3

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