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題名:青少年網路成癮危險因子量表之編製
作者:張勻銘
作者(外文):Yun-Ming Chang
校院名稱:國立彰化師範大學
系所名稱:輔導與諮商學系所
指導教授:王智弘
學位類別:博士
出版日期:2015
主題關鍵詞:網路成癮危險因子量表編製青少年Internet addictionRisk factorsScale developmentAdolescents
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本研究目的在於發展青少年網路成癮危險因子量表。該量表含五個分量表與31個題目,分量表為:家庭關係挫折分量表、同儕關係挫折分量表、對線上人際互動具正向信念分量表、運用網路活動轉移負向情緒分量表,以及課業表現挫折分量表。
研究參與者為台中市751名國一至高三學生,參與者填寫網路成癮危險因子量表以及陳氏網路成癮量表。研究者透過Cronbach’s α係數考驗、因素分析、結構方程模式、Pearson積差相關分析、迴歸分析、ROC曲線分析、t 考驗、ANOVA,以及描述統計,分析量表的信效度,以及不同背景變項在量表的表現。
結果發現,青少年網路成癮危險因子量表具有良好的信度。於效度方面,本量表與效標關聯量表間具有中度相關,內部一致性尚佳,結構方程模式分析發現量表具有良好的模式適合度,但於內部結構尚需加強。本研究運用ROC曲線分析發現網路成癮風險組的切分點為36分,此分數乃供量表使用者參考,非用於分類學生的依據。
此外,青少年網路成癮危險因子量表和網路成癮量表具中度相關,羅吉斯迴歸發現此二量表具顯著的關係,勝率比為1.09。檢視參與者背景變項發現,男性、國三學生、年齡低於16歲、每天使用線上聊天超過1.77小時,以及每天玩網路遊戲超過1.23小時的學生,較易成為網路成癮的風險族群。教師與心理衛生專業人員可使用青少年網路成癮危險因子量表於網路成癮初期預防與介入,後續的研究建議亦於本文討論。
The discovery of risk factors for internet addiction can help educators and mental health professionals find predisposing conditions among youth and intervene early. This study aimed to develop Internet Addiction Risk Factor Scale for Adolescents (IARFS-A), a measure to assess internet addiction risk factors. Five subscales and a total of 31 items were generated. The five subscales included: Frustrations of family relationships subscale, frustrations of peer relationships subscale, positive belief of online social interaction subscale, transferring negative emotions by internet activities subscale, and frustrations of academic performance subscale.
A total of 751 students in 7th to 12th grades were recruited from schools in Taichung City to complete IARFS-A and the Chen Internet Addiction Scale (CIAS). Data were analyzed by Cronbach’s α, factor analysis, structural equation model (SEM), Pearson’s correlation, logistic regression, t-test, ANOVA, receiver operating characteristic (ROC) analysis, and descriptive statistics.
The findings showed that IARFS-A had good reliability (Cronbach’s alpha was.93). Regarding validity, IARFS-A had moderate correlation with criterion-related validity scales, acceptable internal consistency; SEM showed that IARFS-A had good model fit, but the internal structure needed to be improved. The risk group cut-off point was 36, which was just for educators and mental health professionals’ reference only, not for classifying students.
It was found that IARFS-A and CIAS had significantly moderate correlation (r=.64, p&;lt;.01), and logistic regression found that IARFS-A was significantly related to IA, odd ratio was 1.09 (p&;lt;.001). Participants who were males, 9th graders, under 16 years old, used online chatting over 1.77 hours/per day, and played online games over 1.23 hours/per day were more likely to be allocated to the internet addiction risk group. Educators and mental health professionals could use IARFS-A for internet addiction early prevention and intervention. Suggestions for application and future research were discussed.
American Psychiatric Association. (2013). Internet gaming disorder. Retrieved from http://www.dsm5.org/Documents/Internet%20Gaming%20Disorder%20Fact%20Sheet.pdf
Bagozzi, R. P., &; Yi, Y. (1988). On the evaluation of structural equation models. Academic of Marketing Science, 16, 76-94. doi: 10.1177/009207038801600107
Beard, K. W. (2011). Working with adolescents addicted to the Internet. In K. S. Young, &; C. N. de Abreu (Eds.), Internet Addiction: A handbook and guide to evaluation and treatment (pp. 173-189). Hoboken, NJ: John Wiley &; Sons, Inc.
Blascovich, J., &; Tomaka, J. (1991). Measures of self-esteem. In J. P. Robinson, P. R. Shaver, &; L. S. Wrightsman (Eds.), Measures of personality and social psychological attitudes (pp. 115-160). San Diego, CA: Academic Press.
Block, J. J. (2008). Issues for DSM-V: Internet addiction. The American Journal of Psychiatry, 165, 306-307. doi: 10.1176/appi.ajp.2007.07101556
Burt, B. A. (2001). Definitions of risk. Retrieved from http://www.nidcr.nih.gov/NR/rdonlyres/59E8463F-469F-4D06-95C3-CB877673DC98/0/Brian_Burt_Risk.pdf
Cao, H., Sun, Y., Wan, Y., Hao, J., &; Tao, F. (2011). Problematic internet use in Chinese adolescents and its relation to psychosomatic symptoms and life satisfaction. BMC Public Health, 11, 104-110. doi:10.1186/1471-2458-11-802
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, 553-575. http://dx.doi.org/10.1016/S0747-5632(02)00004-3
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. doi: 10.1177/0093650203257842
Caplan, S. E. (2007). Relations among loneliness, social anxiety, and problematic internet use. CyberPsychology &; Behavior, 10(2), 234-242. doi: 10.1089/cpb.2006.9963
Caplan, S. E. (2010). Theory and measurement of generalized problematic internet use: A two-step approach. Computers in Human Behavior, 26(5), 1089-1097. doi: 10.1016/j.chb.2010.03.012
Caplan, S. E., &; High, A. C. (2011). Online social interaction, psychosocial well-being, and problematic Internet use. In K. S. Young, &; C. N. de Abreu (Eds.), Internet addiction: A handbook and guide to evaluation and treatment. (pp. 35-54). Hoboken, NJ: John Wiley &; Sons, Inc.
Center for disease control and prevention (2013). Youth Risk Behavior Survey. Retrieved from http://www.cdc.gov/healthyyouth/yrbs/questionnaire_rationale.htm
Chak, K., &; Leung, L. (2004). Shyness and locus of control as predictors of Internet addiction and Internet use. CyberPsychology &; Behavior, 7(5), 559-570. doi: 10.1089/1094931042403073
Chang, Y. M., Wang, C. H., Chen, Y, J., &; Yang, C. F. (2012). The application of single-session web-based counseling model to college Internet addicts: Changes of symptoms and effectiveness. Journal of Educational Practice and Research, 25(1), 131-162.
Chen, H. L., Wang, C. H., Liu, S. H., Chen, S. H., Ko, C. H., &; Shih, Y. C. (2010, August). The construction of Internet Addiction Risk Factor Scale for Adolescent. The International Conference of 4th Asian Congress of Health Psychology. Taipei, Taiwan: Howard International House Taipei.
Chen, S. H. (2003). Real psychological problems in the virtual world? Perspectives of psychopathology and empirical research. Student Guidance, 86, 16-35.
Chen, S. H., Weng, L. J., Su, Y. J., Wu, H. M., &; Yang, P. F. (2003). Development of a Chinese Internet Addiction Scale and its psychometric study. Chinese Journal of Psychology, 45(3), 279-294.
Chou, S. Y., Lee, M. P., Liang, W. M., Kuo, H. H., Chang, L. H., Chu, J. C., &; Kuo, H. W. (2006). Prevalence of smoking, alcohol consumption, betel nut chewing and illicit drug use among adolescents in Taiwan. Mid-Taiwan Journal of Medicine, 11(3), 177-186
Davis, R. A. (2001). A cognitive-behavioral model of pathological internet use. Computers in Human Behavior, 17(2), 187-195. http://dbs.ncue.edu.tw:2235/10.1016/S0747-5632(00)00041-8
Davis, R. A., Flett, G. L., &; Besser, A. (2002). Validation of a new scale for measuring problematic internet use: Implications for pre-employment screening. CyberPsychology &; Behavior, 5(4), 331-345. doi: 10.1089/109493102760275581
DiClemente, C. C. (2006). Addiction and change: How addictions develop and addicted people recover. New York, NY: The Guilford Press.
Dong, G., Lu, Q., Zhou, H., &; Zhao, X. (2010). Impulse inhibition in people with Internet addiction disorder: Electrophysiological evidence from a Go/NoGo study. Neuroscience Letters, 485(2), 138-142. http://dbs.ncue.edu.tw:2235/10.1016/j.neulet.2010.09.002
Du, Y. S., &; Jiang, W. (2010). Longer term effect of randomized, controlled group cognitive behavioral therapy for internet addiction in adolescent students in Shanghai. Australian and New Zealand Journal of Psychiatry, 44(2), 129-134. doi: 10.3109/00048670903282725
Griffiths, M. D. (2000). Does internet and computer "addiction" exist? Some case study evidence. Cyberpsychology and Behavior, 3(2), 211-218. doi: 10.1089/109493100316067
Hair, J. F., Black, W. C., Babin, B. J., &; Anderson, R. E. (2010). Multivariate data analysis: A global perspective (7th ed.). Upper Saddle River, New Jersey: Person.
Han, D. H., Lee, Y. S., Na, C., Ahn, J. Y., Chung, U. S., Daniels, M. A., …Renshaw, P. F. (2009). The effect of methylphenidate on Internet video game play in children with attention- deficit/hyperactivity disorder. Comprehensive Psychiatry, 50(3), 251-256. doi: 10.1016/j.comppsych.2008.08.011.
Hinić, D., Mihajlović, G., &; Ðukić-Dejanović, S. (2010). "Internet addiction" in relation to cognitive or somatic depression symptoms. Journal of Cognitive &; Behavioral Psychotherapies, 10(2), 187-197.
Iskender, M., &; Akin, A. (2010). Social self-efficacy, academic locus of control, and Internet addiction. Computers &; Education, 54, 1101-1106. doi: 10.1016/j.compedu.2009.10.014
Kim, H. K., &; Davis, K. E. (2009). Toward a comprehensive theory of problematic Internet use: Evaluating the role of self-esteem, anxiety, flow, and the self-rated importance of Internet activities. Computers in Human Behavior, 25(2), 490-500. doi: 10.1016/j.chb.2008.11.001
Kim, J. U. (2008). The effect of a R/T group counseling program on the Internet addiction level and self-esteem of Internet addiction university students. International Journal of Reality Therapy, 27(2), 4-12.
Ko, C. H., Liu, G. C., Yen, J. Y., Chen, C. Y., Yen, C. F., &; Chen, C. S. (2013). Brain correlates of craving for online gaming under cue exposure in subjects with internet gaming addiction and in remitted subjects. Addiction Biology, 18(3), 559-569. doi: 10.1111/j.1369-1600.2011.00405.x
Ko, C. H., Liu, G. C., Yen, J. Y., Yang, C. F., Chen, C. S., &; Lin, W. C. (2013). The brain activations for both cue-induced gaming urge and smoking craving among subjects comorbid with internet gaming addiction and nicotine dependence. Journal of Psychiatric Research, 47(4), 486-493. doi: 10.1016/j.jpsychires.2012.11.008
Ko, C. H., Wang, P. W., Liu, T. L., Yen, C. F., Chen, C. S., &; Yen, J. Y. (2015). Bidirectional associations between family factors and internet addiction among adolescents in a prospective investigation. Psychiatry and Clinical Neurosciences, 69(4), 192-200.
Ko, C. H., Yen, J. Y., Chen, C. C., Chen, S. H., &; Yen, C. F. (2005). Proposed diagnostic criteria of internet addiction for adolescents. The Journal of Nervous and Mental Disease, 193(11), 728-733. doi: 10.1097/01.nmd.0000185891.13719.54
Ko, C. H., Yen, J. Y., Chen, C. H., Yeh, Y. C., &; Yen, C. F. (2009). Predictive values of psychiatric symptoms for internet addiction in adolescents: A 2-year prospective study. Archives of Pediatrics &; Adolescent Medicine, 163(10), 937-943. doi: 10.1001/archpediatrics.2009.159.
Ko, C. H., Yen, J. Y., Yen, C. F., Chen, C. C., Yen, C. N., &; Chen, S. H. (2005). Screening for Internet addiction: an empirical study on cut-off points for the Chen Internet Addiction Scale. The Kaohsiung Journal of Medical Sciences 21(12), 545-551.
Ko, C. H., Yen, J. Y., Yen, C. F., Chen, C. S., &; Chen, C. C. (2012). The association between internet addiction and psychiatric disorder: A review of the literature. European Psychiatry, 27(1), 1-8. doi: 10.1016/j.eurpsy.2010.04.011
Ko, C. H., Yen, J. Y., Yen, C. F., Chen, C. S., Weng, C. C., &; Chen, C. C. (2008). The association between internet addiction and problematic alcohol use in adolescents: The problem behavior model. Cyberpsychology and Behavior,11(5), 571-576. doi:10.1089/cpb.2007.0199
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. doi: 10.1089/cpb.2007.9992
Ko, H. C. (2014). 2014 investigation of students’ internet usage (Ministry of Education Report). Retrieved from http://www.edu.tw/downLoad/detail.aspx?Node=1123&;Page=27074&;Index=1&;wid=6635a4e8-f0de-4957-aa3e-c3b15c6e6ead
Koo, H. J., &; Kwon, J. H. (2014). Risk and protective factors of internet addiction: A meta-analysis of empirical studies in Korea. Yonsei Medical Journal, 55(6), 1691-1711. doi: 10.3349/ymj.2014.55.6.1691
Kuss, D. J., Griffiths, M. D., &; Binder, J. F. (2013). Internet addiction in students: Prevalence and risk factors. Computers in Human Behavior, 29, 959-966. doi: 10.1016/j.chb.2012.12.024
Lam, L. T., Peng, Z. W., Mai, J. C., &; Jing, J. (2009). Factors associated with internet addiction among adolescents. Cyberpsychology and Behavior, 12(5), 551-555. doi: 10.1089/cpb.2009.0036.
Lee, Y. H., Ko, C. H., &; Chou, C. (2015). Re-visiting internet addiction among Taiwanese students: A cross-sectional comparison of students’ expectations, online gaming, and online social interaction. Journal of Abnormal Child Psychology, 43(3), 589-599.
Lin, S. S. J., &; Tsai, C. C. (2002). Sensation seeking and internet dependence of Taiwanese high school adolescents. Computers in Human Behavior, 18(4), 411-426. http://dx.doi.org/10.1016/S0747-5632(01)00056-5
Liu, C. Y., &; Kuo, F. Y. (2007). A study of internet addiction through the lens of the interpersonal theory. CyberPsychology &; Behavior, 10(5), 799-804. doi: 10.1089/cpb.2007.9951.
Liu, T. C., Desai, R. A., Krishnan-Sarin, S., Cavallo, D. A., &; Potenza, M. N. (2011). Problematic internet use and health in adolescents: Data from a high school survey in Connecticut. Journal of Clinical Psychiatry, 72(6), 836-845. doi: 10.4088/JCP.10m06057
Lo, S. K., Wang, C. C., &; Fang, W. (2005). Physical interpersonal relationships and social anxiety among online game players. CyberPsychology &; Behavior, 8(1), 15-20. doi: 10.1089/cpb.2005.8.15
Mai, Y., Hu, J., Yah, Z., Zhen, S., Wang, S., &; Zhang, W. (2012). Structure and function of maladaptive cognitions in pathological internet use among Chinese adolescents. Computers in Human Behavior, 28(6), 2376-2386. doi: 10.1016/j.chb.2012.07.009
Mattick, R. P., &; Clarke, J. C. (1998). Development and validation of measures of social phobia scrutiny fear and social interaction anxiety. Behaviour Research and Therapy, 36, 455-470.
Mazurek, M. O., &; Engelhardt, C. R. (2013). Video game use in boys with autism spectrum disorder, ADHD, or typical development. Pediatrics. Retrieved from http://pediatrics.aappublications.org/content/early/2013/07/23/peds.2012-3956.full.pdf+html
Mehroof, M., &; Griffiths, M. D. (2010). Online gaming addiction: The role of sensation seeking, self-control, neuroticism, aggression, state anxiety, and trait anxiety. CyberPsychology, Behavior &; Social Networking, 13(3), 313-316. doi: 10.1089/cyber.2009.0229
Milani, L., Osualdella, D., &; Blasio, P. D. (2009). Quality of interpersonal relationships and problematic Internet use in adolescence. CyberPsychology &; Behavior, 12(6), 681-684. doi: 10.1089/cpb.2009.0071
Moody, E. J. (2001). Internet use and its relationship to loneliness. CyberPsychology &; Behavior, 4(3), 393-401. doi: 10.1089/109493101300210303
Moreno, M. A., Jelenchick, L., Cox, E., Young, H., &; Christakis, D. A. (2011). Problematic internet use among US youth: A systematic review. Arch Archives of Pediatrics and Adolescent Medicine. 165(9), 797-805. doi: 10.1001/archpediatrics.2011.58
Muisener, P. P. (1994). Understanding and treating adolescent substance abuse. London: SAGE Publications. doi:http://dx.doi.org/10.4135/9781452232997
Orzack, M. H., Voluse, A. C., Wolf, D., &; Hennen, J. (2006). An ongoing study of group treatment for men involved in problematic internet-enabled sexual behavior. CyberPsychology &; Behavior, 9(3), 348-360. doi: 10.1089/cpb.2006.9.348
Park, S. K., Kim, J. Y., &; Cho, C. B. (2008). Prevalence of internet addiction and correlates with family factors among South Korean adolescents. Adolescence, 43(172), 895-909.
Pawlikowski, M., Altstötter-Gleich, C., &; Brand M. (2013). Validation and psychometric properties of a short version of Young's Internet Addiction Test. Computers in Human Behavior, 29(3), 1212-1223. doi: 10.1016/j.chb.2012.10.014
Pew Research Center (2010). Social media &; mobile internet use among teens and young adults. Retrieved from http://pewinternet.org/~/media//Files/Reports/2010/PIP_Social_Media_and_Young_Adults_Report_Final_with_toplines.pdf
Radloff, L. S. (1977). The CES-D scale: A self-report depression scale for research in general population. Applied Psychological Measurement, 1, 385-401.
Rahmani, S., &; Lavasani, M. G. (2011). The comparison of sensation seeking and five big factors of personality between internet dependents and non-dependents. Procedia-Social and Behavioral Sciences, 15, 1029-1033. http://dx.doi.org/10.1016/j.sbspro.2011.03.234
Robin, A. L., &; Vandermay, S. J. (1996). Validation of a measure for adolescent self-report of attention deficit disorder symptoms. Developmental and behavioral pediatrics, 17(4), 211-215.
Rosenberg, M. (1965). Society and the adolescent self -image. Princeton, NJ: Princeton University Press.
Sahraee, O. A., Khosravi, Z., &; Yusefnejad, M. (2011). The relationship of internet addiction with family functioning and mental health among Iranian students (Abstracts of the 19th European Congress of Psychiatry). European Psychiatry, 26(1), 1822. doi:10.1016/S0924-9338(11)73526-X
Sarkis, S. (2014). Internet gaming disorder in DSM-5. Retrieved from https://www.psychologytoday.com/blog/here-there-and-everywhere/201407/internet-gaming-disorder-in-dsm-5
Shapira, N. A., Lessig, M. C., Goldsmith, T. D., Szabo, S. T., Lazoritz, M., Gold, M. S., &; Stein, D. J. (2003). Problematic internet use: Proposed classification and diagnostic criteria. Depression &; Anxiety, 17(4), 207-216. doi: 10.1002/da.10094
Shek, D. T. L., Sun, R. C. F., &; Yu, L. (2013). Internet addiction. Neuroscience in the 21st Century, 2775-2811. doi: 10.1007/978-1-4614-1997-6_108
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. doi: 10.1037/a0027025
Spada, M., Langston, B., &; Moneta, G. (2008). The role of metacognitions in problematic internet use. Computers in Human Behavior, 24(5), 2325-2335. doi: 10.1016/j.chb.2007.12.002
Stieger, S., &; Burger, C. (2010). Implicit and explicit self-esteem in the context of internet addiction. Cyberpsychology, Behavior, and Social Networking, 13(6), 681-688. doi: 10.1089/cyber.2009.0426
Sun, P., Johnson, C. A., Palmer, P., Arpawong, T. E., Unger, J. B., Xie, B.,…Sussman, S. (2012). Concurrent and predictive relationships between compulsive internet use and substance use: Finding form vocational high school students in China and the USA. Internet Journal of Environmental Research and Public Health, 9, 660-673. doi:10.3390/ijerph9030660
Tao, R., Huang, X., Wang, J., Zhang, H., &; Zhang, Y. (2009). SCL-90-R, EPQ-R, and EMBU profiles of adolescents with internet addiction disorder. Chinese Journal of Drug Dependence, 18(4), 294-301.
Tao, R., Huang, X., Wang, J., Zhang, H., Zhang, Y., &; Li, M. (2010). Proposed diagnostic criteria for internet addiction. Addiction, 105(3), 556-564. doi: 10.1111/j.1360-0443.2009.02828.x
Todman, M. (2003). Boredom and psychotic disorders: Cognitive and motivational issues. Psychiatry, 66(2), 146-167. doi: 10.1521/psyc.66.2.146.20623
Tripodaki, E., Kormas, G., Konstantoulaki, E., Andrie, E., Nassis, G., Freskou, A., …Constantopoulos, A. (2008). Internet use and abuse in an adolescent in Athens: Associations with psychological profile and lifestyle of users. Pediatrics, 121, 89-90.
Velezmoro, R., Lacefield, K., &; Roberti, J. W. (2010). Perceived stress, sensation seeking, and college student’s abuse on the Internet. Computers in Human Behavior, 26, 1526-1530. doi: 10.1016/j.chb.2010.05.020
Vodanovich, S. J., Wallace, J. C., &; Kass, S. J. (2005). A confirmatory approach to the factor structure of the boredom proneness scale: Evidence for a two-factor short form. Journal of Personality Assessment, 85(3), 295-303.
Walton, A. G. (2012). Internet addiction: The new mental health disorder? Forbes. Retrieved from http://www.forbes.com/sites/alicegwalton/2012/10/02/the-new-mental-health-disorder-internet-addiction/
Wang, C. H. (2008). The causes and guidance strategies of Internet addiction. Guidance Quarterly, 44(1), 1-12.
Weinstein, A., &; Lejoyeux, M. (2010). Internet addiction or excessive internet use. The American Journal of Drug and Alcohol Abuse, 36, 277-283. doi: 10.3109/00952990.2010.491880
Widyanto, L., &; McMurren, M. (2004). The psychometric properties of the Internet Addiction Test. CyberPsychology &; Behavior, 7(4), 445-453. doi: 10.1089/cpb.2004.7.443.
Xu, J., Shen, L. X., Yan, C. H., Hu, H., Yang, F., Wang, L., …Shen, X. M. (2012). Personal characteristics related to the risk of adolescent internet addiction: a survey in Shanghai, China. BMC Public Health, 12(1), 1-10. doi: 10.1186/1471-2458-12-1106
Yang, S. C., &; Tung, C. J. (2007). Comparison of Internet addicts and non-addicts in Taiwanese high school. Computers in Human Behavior, 23(1), 79-96. doi: 10.1016/j.chb.2004.03.037
Yen, J. Y., Ko, C. H., Yen, C. F., Wu, H. Y., &; Yang, M. J. (2007). The comorbid psychiatric symptoms of internet addiction: Attention deficit and hyperactivity disorder (ADHD), depression, social phobia, and hostility. Journal of Adolescent Health, 41(1), 93-98. doi: http://dx.doi.org/10.1016/j.jadohealth.2007.02.00
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. doi: 10.1089/cpb.2006.9948
Yen, J. Y., Yen, C. F., Chen, C. S., Tang, T. C., Huang, T. H., &; Ko, C. H. (2011). Cue-induced positive motivational implicit response in young adults with internet gaming addiction. Psychiatry Research, 190(2/3), 282-286. doi: 10.1016/j.psychres.2011.07.003
Young, K. S. (1998). Internet addiction: The emergence of a new clinical disorder. CyberPsychology &; Behavior, 1(3), 237-244. doi: 10.1089/cpb.1998.1.237
Young, K. S. (2007). Cognitive behavior therapy with internet addicts: Treatment outcomes and implications. CyberPsychology &; Behavior, 10(5), 671-679. doi: 10.1089/cpb.2007.9971.
Young, K. S. (2009). Understanding online gaming addiction and treatment issues for adolescents. American Journal of Family Therapy, 37(5), 355-372. doi: 10.1080/01926180902942191
Young, K. S., Yue, X. D., &; Ying, L. (2011). Prevalence estimates and etiologic models of internet addiction. In K. S. Young, &; C. N. de Abreu (Eds.), Internet addiction: A handbook and guide to evaluation and treatment. (pp. 3-18). Hoboken, NJ: John Wiley &; Sons, Inc.
Widyanto L., Griffiths M. D., Brunsden V. A. (2011). Psychometric comparison of the Internet Addiction Test, the Internet-Related Problem Scale, and self-diagnosis. Cyberpsychology, Behavior, and Social Networking, 14(3), 141-149. doi: 10.1089/cyber.2010.0151. Epub 2010 Nov 10

 
 
 
 
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