參考文獻
中文部分
行政院衛生福利部(2016)。藥物濫用案件計檢驗統計資料分析。
教育部學生事務與特殊教育司(2016)。各級學校特定人員尿液篩檢作業要點。台北市。
教育部學生事務與特殊教育司(2017)。學生藥物濫用各學制統計表。台北市。
許家寧(2010)。結合創新擴散理論與科技接受模型探討企業員工使用數位學習系統意願之研究。國立中央大學企業管理研究所碩士論文。
郭鐘隆、張俊彥、黃久美、束連文 (2014)。應用理論建構之3D虛擬實境介入對高中職濫用K他命學生的成效。科技部專題研究報告(編號:103-2511-S-003-029-),未出版。陳志哲、廖容瑜、張萩琴、黃久美、郭鐘隆(2016)。應用理論建構之3D虛擬實境介入對高中職濫用愷他命學生之成效。數位學習科技期刊,第八卷第三期,p51-69。 英文部分
Ajjan, H.,Hartshorne, R. (2008). Investigating faculty decisions to adopt Web 2.0 technologies:Theoryand empirical tests.The Internet and Higher Education,11(2),71-80.
Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50 (2), 179-211.
Allen, C. (2007). Crime, drugs and social theory: a phenomenological approach,Ashgate Publishing Company.
American Psychiatric Association (2013).Diagnostic criteria for common developmental problem of children – DSM‐5. United States: American Psychiatric Association.
Anderson,J.C., Gerbing.D.W.(1988).Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach. Psychological Bulletin, Vol. 103, No. 3, 411-423.
Bagozzi.R.P., Yi.Y.(1998).On the Evaluation of Structure Equation Models. Journal of the Academy of Marketing Science, Vol.16:1, pp.74-94, 1988.
Baharun, R., Mirghasemi, F., Saadah, N., Rahman, A., Awang, Z. (2015).Application of Decomposed Theory of Planned Behavior On Post Graduate Students Toward On-Line Shopping.Journal Kemanusiaan,Vol,24.
Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ, US: Prentice-Hall, Inc.
Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Concepual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173-1182.
Bewick, B. M., Trusler, K., Barkham, M., Hill, A. J., Cahill, J. & Mulhern, B. (2008). The effectiveness of web-based interventions designed to decrease alcohol consumption—a systematic review. Preventive Medicine, 47(1), 17-26.
Bollen, K. A.(1989).Structural Equations with Latent Variables. New York: John Wiley & Sons.
Bordnick, P. S., Graap, K. M., Copp, H., Brooks, J., Ferrer, M. & Logue, B. (2004). Utilizing virtual reality to standardize nicotine craving research: A pilot study. Addictive behaviors, 29(9), 1889-1894.
Bordnick, P. S., Traylor, A., Copp, H. L., Graap, K. M., Carter, B., Ferrer, M.,Walton, Alicia P. (2008). Assessing reactivity to virtual reality alcohol based cues. Addictive behaviors, 33(6), 743-756.
Burdea, G. & Coiffet, P. (2003). Virtual reality technology. Presence: Teleoperators and virtual environments, 12(6), 663-664.
Chan, C.P., Leung, H., Tang, K.T., Komura,T.(2011). A Virtual Reality Dance Training System Using Motion Capture Technology. IEEE Transactions on learning Technologies ,Vol. 4, No.2.
Chandler, R. K., Fletcher, B. W. & Volkow, N. D. (2009). Treating drug abuse and addiction in the criminal justice system. The Journal of the American Medical Association, 301(2), 183-190.
Chen, C. Y., Storr, C. L. & Anthony, J. C. (2009). Early-onset drug use and risk for drug dependence problems. Addictive behaviors, 34(3), 319-322.
Chen, C.H., Yang,J.C.,Shen,S.,Jeng,M.C. (2007).A Desktop Virtual Reality Earth Motion System in Astronomy Education.AstronomyEducation. Educational Technology & Society, 10 (3), 289-304.
Cheon, J.,Lee, S., Crooks, S. M., Song, J. (2012).An investigation of mobilelearning readiness in higher education based on the theory of planned behavior. Computers & Education ,59(3).
Davis, F. D., Bagozzi, R. P., Warshaw, P. R. (1989).UserAcceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science,35(8).
Degenhardt, L. & Hall, W. (2012). Extent of illicit drug use and dependence, and their contribution to the global burden of disease. The Lancet, 379(9810), 55-70.
Diamantopoulos, A., Siguaw, J.A., 2000. Introducing LISREL. Sage Publications, London.
Gibbons, F. X., Kingsbury, J. H. & Gerrard, M. (2012). Social‐psychological theories and adolescent health risk behavior. Social and Personality Psychology Compass, 6(2), 170-183.
Glegg, S. M. N., Holsti, L., Velikonja, D., Ansley, B., Brum, C., Sartor, D. (2013).Factors Influencing Therapists’ Adoption of Virtual Reality for Brain Injury Rehabilitation. Cyberpsychology Behavior and Social Networking, V16,385-401.
Guilamo-Ramos, V., Litardo, H. A. & Jaccard, J. (2005). Prevention programs for reducing adolescent problem behaviors: Implications of the co-occurrence of problem behaviors in adolescence. Journal of Adolescent Health, 36(1), 82-86.
Guo, J. L., Huang, C. M. & Lee, T. C. (2012). National Web-Based Survey of Illegal Drug Use Among Adolescents. Taipei, Taiwan.
Hatcher, L. (1994). A Step-by-Step Approach to Using the SAS System for Factor Analysis and Structural Equation Modeling. Cary, NC: SAS Institute Inc.
Hoffman, H. G. (2004). Virtual-reality therapy.Scientific Amerrican, 291, 58-65.
Hsieh, P. J (2015).Physicians’ acceptance of electronic medical records exchange: An extension of the decomposed TPB model with institutional trust and perceived risk.international journal of medical informatics, 84(1),1–14.
Hsu, M. H.,Chiu, C. M. (2004). Predicting electronic service continuance with a decomposed theory of planned behavior. Behavior & information Technology,23(5), 359–373.
Hu, Li-tze., Bentler, Peter. M. (1998).Fit Indices in Covariance Structure Modeling: Sensitivity to Underparameterized Model Misspecification. Psychological Methods, Vol. 3. No. 4,424-453.
Huang, C. M., Chien, L. Y., Cheng, C. F. & Guo, J. L. (2012). Integrating Life Skills Into a Theory‐Based Drug‐Use Prevention Program: Effectiveness Among Junior High Students in Taiwan. Journal of School Health, 82(7), 328-335.
Khalsa, J. H., Genser, S., Francis, H. & Martin, B. (2002). Clinical consequences of marijuana. The Journal of Clinical Pharmacology, 42(11 suppl), 7S-10S.
Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed.). New York: The Guildford Press.
Lau, A. S. M. (2011). Hospital-Based Nurses' Perceptions of the Adoption of Web 2.0 Tools for Knowledge Sharing, Learning, Social Interaction and the Production of Collective Intelligence. Journal of Medical Internet Research.13(4), p30-30.
Ledox,T., Ngyen,A.S., Bakos-Block,C.,Bordnick, P. (2013).Using virtual reality to study food cravings .Appetite,71:396-402.
Loeffler, C. E., Anderson, T. (1994).The virtual reality casebook. New York : Van Nostrand.
Malek, AI-M., Nik, K. N. M. (2010). Application of Decomposed Theory of Planned Behavior on Internet Banking Adoption in Jordan. Journal of Internet Banking and Commerce, vol. 15, no2.
Mantymaki, M., Merikivi,J., Verhagen,T., Feldberg,F., Rajala, R. (2014).Does a contextualized theory of planned behavior explain whyteenagers stay in virtual worlds?. International Journal of Information Management ,34,567-576.
Merchant, Zahira., Goetz, E.T., Cifuentes, Lauren., Keeney-Kennicutt, W., Davis, T. J. (2014).Effectiveness of virtual reality-based instruction on students’ learning outcomes in K-12 and higher education: A meta-analysis.Computers & Education,V 70,29–40.
Morgan, C. J., Muetzelfeldt, L. & Curran, H. V. (2010). Consequences of chronic ketamine self‐administration upon neurocognitive function and psychological wellbeing: a 1‐year longitudinal study. Addiction, 105(1), 121-133.
Nora, D.V., N., Wang, G. J.,Fowler, J. S.,Molina, P. E., Logan, J., Gatley, S. J., Gifford, A., Ding, Y. S., Wong, C., Pappas, N. R., Zhu, W., Swanson, J. M. (2003). Cardiovascular effects of methylphenidate in humans are associated with increases of dopamine in brain and of epinephrine in plasma. Psychopharmacology,166(3) , 264-270.
Powers, M. B. & Emmelkamp, P. M. (2008). Virtual reality exposure therapy for anxiety disorders: A meta-analysis. Journal of anxiety disorders, 22(3), 561-569.
Preacher, K. J., Hayes. A. F.(2008).Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40 (3), 879-891.
Raykov, T., & Marcoulides, G. A. (1999). On desirability of parsimony in structural equation model selection. Structural Equation Modeling: A Multidisciplinary Journal, 6(3), 292-300.
Raykov, T., & Marcoulides, G. A. (1999). On Desirability of Parsimony in Structural Equation Model Selection. Structural Equation Modeling, 6,292-300.
Reger, G. M. & Gahm, G. A. (2008). Virtual reality exposure therapy for active duty soldiers. Journal of Clinical Psychology, 64(8), 940-946.
Renda, L. M. (2013). Understanding E-learning Adopting Among Brazilian Universities: An Application of The Decomposed Theory of Planned Behavior. Educational computing Research,49(3),363-379.
Rogers, E. M. (1995).Diffusion of innovations. Free Press, United States.
Rothbaum, B. O., Hodges, L., Smith, S., Lee, J. H. & Price, L. (2000). A controlled study of virtual reality exposure therapy for the fear of flying. Journal of consulting and Clinical Psychology, 68(6), 1020.
Rubino, T., Zamberletti, E. & Parolaro, D. (2012). Adolescent exposure to cannabis as a risk factor for psychiatric disorders. Journal of Psychopharmacology, 26(1), 177-188.
Sadaf, A., Newby, T. J., Ertmer, P. A. (2012). Exploring Factors that Predict Preservice Teachers’ Intentions to Use Web 2.0 Technologies Using Decomposed Theory of Planned Behavior. Journal of Research on Technology in Education, Vol (45), No (2),171–195.
Santelli, J.S., Robin, L.,Brener, N. D., Lowry, R. (2001).Timing of Alcohol and Other Drug Use and Sexual Risk Behaviors among Unmarried Adolescents and Young Adults.Family Planning Perspectives, 33(5).
Schwartz, S. J., Mason, C. A., Pantin, H., Wang, W., Brown, C. H., Campo, A. E., et al. (2009). Relationships of social context and identity to problem behavior among high-risk Hispanic adolescents. Youth & society, 40(4), 541-570.
Segars, A. H.(1997).Assessing the unidimensionality of measurement: a paradigm and illustration within the context of information systems research. Omega, vol. 25, issue 1, pages 107-121
Shih,Y.Y., Fang,K. (2004). The use of a decomposed theory of planned behavior to study Internetbanking in Taiwan. Internet Research, 14(3), p213-223.
Sobel, M. E. (1982). Asymptotic confidence intervals for indirect effects in structural equation models. In S. Leinhart (Ed.), Sociological methodology 1982 (pp. 290-312). San Francisco: Jossey-Bass.
Sutherland, I. E. (1965).The Ultimate Display.Information Processing Techniques.
Taylor, S.,Todd, P. A. (1995). Understanding Information Technology Usage: A Test of Competing Models.Information Systems Research,6(2).
UNODC. (2016). World drug report 2016 Retrieved from https://www.unodc.org/documents/wdr2016/World_Drug_Report_2016.pdf
WHO. (1993).Life Skills Education For Children and Adolescents in Schools. World Health Organization.