Factores en el acoso cibernético: el modelo de actitud-influencia social-eficacia
Resumen
Este estudio examina la correlación entre la percepción de riesgo, el conocimiento, la influencia social, la autoeficacia y el comportamiento del acoso cibernético desde la perspectiva del modelo de influencia social. Las muestras en esta encuesta son adolescentes que han tenido un comportamiento de acoso cibernético o han presenciado el comportamiento de acoso cibernético de sus compañeros. Los resultados mostraron que la actitud hacia el acoso cibernético afectó la intención de acoso cibernético, y esa intención también influyó en el comportamiento del acoso cibernético. La influencia social también tuvo un impacto en la intención de acoso cibernético y el comportamiento de acoso cibernético. De hecho, la intención era un mediador entre la actitud y el comportamiento, así como entre la influencia social y el comportamiento.Descargas
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Bandura, A.(1993). Perceived self-efficacy in cognitive development and functioning. Educational Psychologist, 28, 117-148.
Bandura, A. (1986). Social Foundations of Thought and Action: A Social Cognitive Theory. Prentice Hall, New York.
Bandura, A. (1991). Social cognitive theory of moral thought and action. In W. M. Kurtines & J. L. Gewirtz (Eds.), Handbook of moral behavior and development (Vol. 1, pp. 45-103). Hillsdale, NJ: Erlbaum.
Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84, 191-215.
Barlett, C., & Coyne, S.M. (2014). A Meta‐Analysis of Sex Differences in Cyber‐Bullying Behavior: The Moderating Role of Age. Aggressive Behavior, 40, 474–488.
Belsey, B. (2007). Cyberbullying: a real and growing threat. ATA Magazine, 88, 14–21.
Brug, J., Lechner, L., & De Vries, H.(1995). Psychosocial determinants of fruit and vegetable consumption. Appetite,25,285-296.
Calder, B. J., Phillips, L. W., & Tybout, A. M. (1981). Designing research for application. Journal of Consumer Research, 8, 197-207.
Chang, C.H., Ko, H.C., Wu, J.Y., & Cheng, C.P.(2007). Social cognitive determinants of betel quid chewing among college students in southern Taiwan: a revised Attitudes-Social Influence-Efficacy Model. Addictive Behaviors, 32, 2345-2350.
Chang, H.P.(2013). The Effects of Therapeutic Relationship on an Adolescent Victim of Bullying: A Case Study. Chinese Journal of Guidance and Counseling, 28,29-56.
Chang H.P.(2013). The Effects of Therapeutic Relationship on an Adolescent Victim of Bullying: A Case Study. Chinese Journal of Guidance and Counseling, 38,29 – 55.
Chen, H.C., Ko, H.C., Lee, K.H., & Lin, M.P.(2010). Depression, Cognitive Determinants, and Social Influence in Explaining Betel Nut Chewing among College Students in Southern Taiwan. Formosa Journal of Mental Health, 23, 587 – 612.
Chen, H.Y.(2008). A Structural Model of Drug Use Behaviors among Aboriginal Adolescents in Taiwan: Factors of Ethnic Identity, Personality, Social Learning, and Beliefs about Drug Use. Bulletin of Educational Psychology, 39, 335-354.
Child Welfare League Foundation(2014). Survey report of school bullying phenomenon in Taiwan in 2014. http://www.children.org.tw/news/advocacy_detail/1174
Chiou, J. S., Droge, C., & Hanvanich, S.(2002). Does Customer Knowledge Affect How Loyalty Is Formed. Journal of Service Research, 5(2), 113-124.
Churchill, G.A. (1979).A paradigm for developing better measures of marketing constructs. Journal of Marketing Research, 16(1), 64-73.
de Vries, H., Mudde, A., Leijs, I., Charlton, A., Vartiainen, E., Buijs, G., Clemente ,M.P., Storm, H., González Navarro, A., Nebot, M., Prins, T., &Kremers, S.(2003). The European Smoking Prevention Framework Approach (EFSA): an example of integral prevention. Health education research, 18(5), 611-626.
Dehue, F., Bolman, C., & Vollink, T. (2008). Cyberbullying: Youngsters' experiences and parental perception. Cyberpsychology & Behaviour, 11(2), 217–225.
Eslea, M., & Smith, P.K.(2012). Pupil and parent attitudes towards bullying in primary schools. European Journal of Psychology of Education, 15(2),207-219.
Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Addison-Wesley, Reading, MA.
Fosse, G. K., & Holen, A. (2006). Childhood maltreatment in adult female psychiatric outpatients with eating disorders. Eating Behaviours, 7, 404–409.
Fu, T.T., Liu, J.T., Kan, K.H., & Lai, W.L.(2001). Health risk perception and cigarette smoking behavior: the case of Taiwan. Academia Economic Papers, 29(1), 91-118.
Gollwitzer, P.M., & Schaal, B. (1998). Metacognition in action: the importance of implementation intentions. Personality and Social Psychology Review, 2, 124-136.
Graham, S., Bellmore, A. D., & Mize, J. (2006). Peer victimization, aggression, and their co-occurrence in middle school: Pathways to adjustment problems. Journal of Abnormal Child Psychology, 34, 363-378.
Hazzard, A., & Angert, L. (1986). Knowledge, attitudes and behavior in children with asthma. Journal of Asthma, 23(2), 61－67.
Hinduja, S., & Patchin, J. W. (2009). Bullying beyond the schoolyard: Preventing and responding to cyber bullying. Thousand Oaks, CA: Corwin Press.
Holfeld, B.(2014). Perceptions and attributions of bystanders to cyber bullying. Computers in Human Behavior, 38, 1–7.
Hong, J.C., Lin, C.H., Hwang, M.Y., Hu, R.P., & Chen, Y.L.(2014). Positive affect predicting worker psychological response to cyber-bullying in the high-tech industry in Northern Taiwan. Computers in Human Behavior, 30, 307-314.
Hsu, L.L., Hsu, T.H., Tang, J.W., & Chen, C.C.(2011). An Empirical Study of Social Influence and Community Characteristics Impact Bloggers’ Perceived Task Value and Blog Continuous Usage Intention in Blog Context. Journal of E-Business, 13(4), 781-816.
Hsu, M.H., & Kuo, F.Y., Sun, S.Y.(2000). Ethical Computer Self-efficacy: Development and Test of a Measure of Ethical Self-efficacy for Software Piracy. Journal of Information Management ,7(1), 85 – 102.
Huang, C.S.(2011). The New Issue in the Coming of Aged Society: A Study of Elementary and Secondary Students’ Knowledge, Attitudes, and Behavior Intention toward Aging. Curriculum & Instruction Quarterly, 14(2), 193-216.
Huang, Y. Y., & Chou, C. (2010). An analysis of multiple factors of cyberbullying among junior high school students in Taiwan. Computers in Human Behavior, 26, 1581-1590.
Kim, Y. S., Koh, Y. J., & Leventhal, B. (2005). School bullying and suicidal risk in Korean, middle school students. Pediatrics, 115, 357-363.
Kokkinos, C.M., Antoniadou, N., & Markos, A.(2014). Cyber-bullying: An investigation of the psychological profile of university student participants. Journal of Applied Developmental Psychology, 35, 204-214.
Lascu, D., & Zinkhan, G. (1999). Consumer conformity: Review and applications for marketing theory and practice. Journal of Marketing Theory and Practice, 7(3), 1-12.
Liao, G.L., Huang, T.C.K., Chang, J.C., & Liu, C.C.(2012). The Empirical Study of Cyberbully in Taiwan. Information and Management Science, 5(1), 31-55.
Lin, M.Q.(2004). The Study of the Influence of Knowledge Resources, Knowledge Characteristics and Knowledge Flow Mechanisms on the Performance of Knowledge Transfer -Verifying on the Staff of International Retailing S. Journal of Management, 21(6),801 – 826.
Lin, Y.J., Wu, W.C., Lee, C.Y., Lin, D.C., & Chiang, Y.C.(2014). Effects of social network indicators and positions in class on bullied experiences among junior high school students in Taiwan. Taiwan J Public Health, 33(4), 397-409.
Liou, J.L., & Wu, P.I.(2009). Censored Quantile Regression for the Decision of Alcohol Consumption under Heterogeneous Risk Perceptions. Taiwan Journal of Applied Economics, 86, 95-137.
Liou, J.L., & Wu, P.I.(2013). Health Risk Perception and Happiness for Smoking Decision: Behavior under Rationality and Perceptibility. Agriculture and Economics, 50,1-39.
Macdonald, C.D., & Bridget, R.P. (2010). Cyberbullying among college student: prevalence and demographic differences. Procedia social and Behavioral Sciences(9), 2003-2009.
Ministry of Education, Taiwan(2011). https://csrc.edu.tw/bully/bullying.asp.
Mishna, F., Khoury-Kassabri, M., Gadalla, T., & Daciuk, J.(2012). Risk factors for involvement in cyber bullying: Victims, bullies and bully–victims. Children and Youth Services Review, 34 , 63–70.
Petty, R.E., & Cacioppo, J.T.(1986). The Elaboration Likelihood Model of Persuasion. Advances in Experimental Social Psychology, 19, 123-205.
Prochaska, J.O., & DiClemente, C.C. (1983). Stages and processes of self change of smoking: toward an integrative model of change. Journal of Consulting and Clinical Psychology, 51(3), 390-395.
Shariff, S., & Gouin, R. (2005). Cyber- dilemmas: Gendered hierarchies free expression and cyber-safety in schools. Paper presented at safety and security in a networked world: Balancing cyber-rights and responsibilities. Oxford Internet Institute Conference, on September 8, 2005, Oxford, U.K.
Srabstein, J.C. & Leventhal, B.L.(2010). Prevention of bullying-related morbidity and mortality: a call for public health policies. Bulletin of the World Health Organization ,88, 403-403.
Tan, C.H., & Hung, C.H.(2006). The Effect of Attitude, Social Influences and Self-Efficacy on Asthmatic Adolescents’ Self-Management Intentions. Journal of Evidence-Based Nursing, 2(1), 24-33.
Tokunaga, R. S. (2010). Following you home from school: A critical review and synthesis of research on cyberbullying victimization. Computers in Human Behavior, 26(3), 277–287.
van Goethem, A.A., Scholte, R.H., & Wiers, R.W.(2010). Explicit- and implicit bullying attitudes in relation to bullying behavior. Journal of Abnormal Child Psychology, 38(6),829-842.
Viscusi, W. K. (1991). Age Variations in Risk Perceptions and Smoking Decisions. The Review of Economics and Statistics, 73, 577-588.
Weinstein, N.D. (1988). The precaution adoption process. Health Psychology,7, 355-386.
Wu, M.L.,& Jian, M.R.(2009). An Investigation to Cyber Bullying Behavior among Teenagers. Secondary Education, 60(3), 90-109.
Yang, J.L., Chang, F.C., Chi, H.Y., & Huang, L.J.(2015). Knowledge, attitudes, and behavior regarding correct analgesic use among senior/vocational high school students in Taiwan. Taiwan Journal of Public Health, 34(1), 61-73.
Yang, M.Y., & Ke ,Y.T.(2015). Why Speak Up? The Effects of Voice Self-Efficacy and Group Voice Behavior on Individual Voice Behavior. NTU Management Review, 25(3), 39 – 66.
Ybarra, M. L., Diener-West, M., & Leaf, P. J. (2007). Examining the overlap in Internet harassment and school bullying: Implications for school intervention. Journal of Adolescent Health, 41(6), 42–50.
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