請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/69211
完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 陳端容(Duan-Rung Chen) | |
dc.contributor.author | Ming-Hao Yeh | en |
dc.contributor.author | 葉名晧 | zh_TW |
dc.date.accessioned | 2021-06-17T03:10:40Z | - |
dc.date.available | 2023-10-03 | |
dc.date.copyright | 2018-10-03 | |
dc.date.issued | 2018 | |
dc.date.submitted | 2018-07-18 | |
dc.identifier.citation | 外文部分
Abel, G., Plumridge, L., & Graham, P. (2002). Peers, Networks or Relationships: strategies for understanding social dynamics as determinants of smoking behaviour. Drugs: Education, Prevention, and Policy, 2002, Vol.9(4), p.325-338, 9(4), 325-338. doi:10.1080/09687630210157636 Akers, R. L. (1985). Deviant behavior: A social learning approach: Wadsworth Publishing Company. Aldrich, J. H. (1984). Linear probability, logit, and probit models. Beverly Hills: Beverly Hills : Sage Publications. Alexander, C., Piazza, M., Mekos, D., & Valente, T. (2001). Peers, schools, and adolescent cigarette smoking. Journal of Adolescent Health, 29(1), 22-30. doi:10.1016/S1054-139X(01)00210-5 Alexander, C., Piazza, M., Mekos, D., & Valente, T. (2001). Peers, schools, and adolescent cigarette smoking. J Adolesc Health, 29(1), 22-30. Ali, M. M., Amialchuk, A., & Nikaj, S. (2014). Alcohol consumption and social network ties among adolescents: Evidence from Add Health. Addictive Behaviors, 39(5), 918-922. doi:10.1016/j.addbeh.2013.11.030 Ali, M. M., & Dwyer, D. S. (2009). Estimating Peer Effects in Adolescent Smoking Behavior: A Longitudinal Analysis. Journal of Adolescent Health, 45(4), 402-408. doi:10.1016/j.jadohealth.2009.02.004 Aloise-Young, P., Graham, J., & Hansen, W. (1994). Peer influence on smoking initiation during early adolescence: A comparison of group members and group outsiders. Journal of Applied Psychology, 79(2), 281. doi:10.1037/0021-9010.79.2.281 Andrews, N. C. Z., Hanish, L. D., & Santos, C. E. (2017). Reciprocal Associations between Delinquent Behavior and Social Network Position during Middle School. Journal of Youth and Adolescence, 46(9), 1918-1932. doi:10.1007/s10964-017-0643-2 Babbie, E. R. (2014). The basics of social research (Sixth edition.. ed.): Belmont, CA : Wadsworth, Cengage Learning, 2014. Bandura, A. (1986). Social foundations of thought and action : a social cognitive theory. Englewood Cliffs, N.J.: Englewood Cliffs, N.J. : Prentice-Hall. Boyas, J. F., Kim, Y. J., Moon, S. S., Ruiz, E., & Gaines, K. (2017). Drug and alcohol use and its relationship to self-rated health: An ecological examination among Latino and non-Hispanic White adolescents. Children and Youth Services Review, 73(Supplement C), 454-466. doi:https://doi.org/10.1016/j.childyouth.2016.11.020 Chen, H.-C., Chen, H.-M., Chen, M.-L., Chiang, C.-M., & Chen, M.-Y. (2012). The relationship between adolescent body size and health promoting behavior and biochemical indicator factors. Hu li za zhi The journal of nursing, 59(3), 51. Choi, H. J., & Smith, R. A. (2013). Members, Isolates, and Liaisons: Meta-Analysis of Adolescents Network Positions and Their Smoking Behavior. Substance Use & Misuse, 2013, Vol.48(8), p.612-622, 48(8), 612-622. doi:10.3109/10826084.2013.800111 Cleveland, H. H., & Wiebe, R. P. (2003). The Moderation of Adolescent-to-Peer Similarity in Tobacco and Alcohol Use by School Levels of Substance Use. Child Development, 74(1), 279-291. doi:10.1002/dys.235 Cochrane, T., & Davey, R. C. (2008). Increasing uptake of physical activity: a social ecological approach. The Journal of The Royal Society for the Promotion of Health, 128(1), 31-40. doi:10.1177/1466424007085223 Copeland, M., Fisher, J. C., Moody, J., & Feinberg, M. E. (2018). Different Kinds of Lonely: Dimensions of Isolation and Substance Use in Adolescence. Journal of Youth and Adolescence. doi:10.1007/s10964-018-0860-3 Cornwell, B., Schumm, L. P., Laumann, E. O., Kim, J., & Kim, Y.-J. (2014). Assessment of Social Network Change in a National Longitudinal Survey. Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 69(Suppl2), S75-S82. doi:10.1093/geronb/gbu037 Crosnoe, R., Muller, C., & Frank, K. (2004). Peer Context and the Consequences of Adolescent Drinking. Social Problems, 51(2), 288-304. doi:10.1525/sp.2004.51.2.288 Cullum, G. H. K., & Mayo, M. A. (2015). A Review of the Child and Adolescent Social Support Scale for Healthy Behaviors. Clinical Nurse Specialist, 29(4), 198-202. doi:10.1097/NUR.0000000000000142 DeMartini, K. S., Prince, M. A., & Carey, K. B. (2013). Identification of Trajectories of Social Network Composition Change and the Relationship to Alcohol Consumption and Norms. Drug Alcohol Depend, 132(0), 309-315. doi:10.1016/j.drugalcdep.2013.02.020 Emirbayer, M., & Goodwin, J. (1994). Network Analysis, Culture, and the Problem of Agency. American journal of sociology, 99(6), 1411-1454. Engels, R., & ter Bogt, T. (2001). Influences of Risk Behaviors on the Quality of Peer Relations in Adolescence. Journal of Youth and Adolescence, 30(6), 675-695. doi:10.1023/A:1012277427883 English, A., Kapphahn, C., Perkins, J., & Wibbelsman, C. J. (1998). Meeting the Health Care Needs of Adolescents in Managed Care: A Background Paper. Journal of Adolescent Health, 22(4), 278-292. doi:https://doi.org/10.1016/S1054-139X(98)00008-1 Ennett, S., & Bauman, K. (1994). The contribution of influence and selection to adolescent peer group homogeneity: The case of adolescent cigarette smoking. Journal of Personality and Social Psychology, 67(4), 653. doi:10.1037/0022-3514.67.4.653 Ennett, S. T., Bailey, S. L., & Federman, E. B. (1999). Social network characteristics associated with risky behaviors among runaway and homeless youth. Journal of Health and Social Behavior, 40(1), 63. doi:10.2307/2676379 Ennett, S. T., & Bauman, K. E. (1993). Peer group structure and adolescent cigarette smoking: a social network analysis. Journal of Health and Social Behavior, 34(3), 226. doi:10.2307/2137204 Ennett, S. T., Bauman, K. E., Hussong, A., Faris, R., Foshee, V. A., Cai, L., & DuRant, R. H. (2006). The Peer Context of Adolescent Substance Use: Findings from Social Network Analysis. Journal of Research on Adolescence, 16(2), 159-186. doi:10.1111/j.1532-7795.2006.00127.x Freeman, L. C. (1978). Centrality in social networks conceptual clarification. Social Networks, 1(3), 215-239. doi:https://doi.org/10.1016/0378-8733(78)90021-7 Fujimoto, K., Unger, J. B., & Valente, T. W. (2012). A Network Method of Measuring Affiliation-Based Peer Influence: Assessing the Influences of Teammates' Smoking on Adolescent Smoking. Child Development, 83(2), 442-451. doi:10.1111/j.1467-8624.2011.01729.x Fujimoto, K., & Valente, T. W. (2012). Decomposing the Components of Friendship and Friends' Influence on Adolescent Drinking and Smoking. Journal of Adolescent Health, 51(2), 136-143. doi:10.1016/j.jadohealth.2011.11.013 Gallupe, O., & Bouchard, M. (2015). The influence of positional and experienced social benefits on the relationship between peers and alcohol use. Rationality and Society, 27(1), 40-69. doi:10.1177/1043463114546316 Girvan, M., & Newman, M. E. J. (2002). Community structure in social and biological networks. Proceedings of the National Academy of Sciences of the United States of America, 99(12), 7821-7826. doi:10.1073/pnas.122653799 Gommans, R., Müller, C. M., Stevens, G. W. J. M., Cillessen, A. H. N., & Ter Bogt, T. F. M. (2017). Individual Popularity, Peer Group Popularity Composition and Adolescents’ Alcohol Consumption. Journal of Youth and Adolescence, 46(8), 1716-1726. doi:10.1007/s10964-016-0611-2 Granovetter, M. S. (1973). The Strength of Weak Ties. American journal of sociology, 78(6), 1360-1380. doi:10.1086/225469 Gruenewald, P. J., Remer, L. G., & Lascala, E. A. (2014a). Testing a social ecological model of alcohol use: the California 50-city study. Addiction (Abingdon, England), 109(5), 736. doi:10.1111/add.12438 Gruenewald, P. J., Remer, L. G., & Lascala, E. A. (2014b). Testing a social ecological model of alcohol use: the California 50-city study: Social ecology of alcohol use. Addiction, 109(5), 736-745. doi:10.1111/add.12438 Hall, J. A., & Valente, T. W. (2007). Adolescent smoking networks: the effects of influence and selection on future smoking. Addictive Behaviors, 32(12), 3054. doi:10.1016/j.addbeh.2007.04.008 Hirschi, T. (1969). Causes of delinquency. Berkeley: Berkeley, University of California Press. Jeffery, C. R. (1958-1959). An Integrated Theory of Crime and Criminal Behavior. 49 J. Crim. L. Criminology & Police Sci. 533. Jeffery, C. R. (1959-1960). The Historical Development of Criminology. 50 J. Crim. L. & Criminology 3. Kandel, D., & Davies, M. (1991). FRIENDSHIP NETWORKS, INTIMACY, AND ILLICIT DRUG USE IN YOUNG ADULTHOOD: A COMPARISON OF TWO COMPETING THEORIES*. Criminology, 29(3), 441-469. doi:10.1111/j.1745-9125.1991.tb01074.x Knoke, D. (1982). Network analysis. Beverly Hills, Calif.: Beverly Hills, Calif. : Sage Publications. Kobus, K., & Henry, D. B. (2010). Interplay of Network Position and Peer Substance Use in Early Adolescent Cigarette, Alcohol, and Marijuana Use. Journal of Early Adolescence, 30(2), 225-245. doi:10.1177/0272431609333300 Lee, I. C., Ting, T. T., Chen, D. R., Tseng, F. Y., Chen, W. J., & Chen, C. Y. (2015). Peers and social network on alcohol drinking through early adolescence in Taiwan. Drug Alcohol Depend, 153, 50-58. doi:10.1016/j.drugalcdep.2015.06.010 Li, T., Fung, H. H., Isaacowitz, D. M., & Lang, F. R. (2015). Attention to negative emotion is related to longitudinal social network change: The moderating effect of interdependent self-construal. Geriatr Gerontol Int, 15(8), 1079-1086. doi:10.1111/ggi.12401 Lin, N., Ye, X., & Ensel, W. M. (1999). Social support and depressed mood: a structural analysis. J Health Soc Behav, 40(4), 344-359. Mason, M., Cheung, I., & Walker, L. (2004). The Social Ecology of Urban Adolescent Substance Use: A Case Study Utilizing Geographic Information Systems. Journal of Primary Prevention, 25(2), 271-282. doi:10.1023/B:JOPP.0000042394.51979.16 Maxwell, K. A. (2000). Do friends matter? The role of peer influence on adolescent risk behavior [electronic resource]. Thesis (Ph.D.)--University of Pennsylvania, 2000. McDonough, M., Jose, P., & Stuart, J. (2016). Bi-directional Effects of Peer Relationships and Adolescent Substance Use: A Longitudinal Study. Journal of Youth and Adolescence, 45(8), 1652-1663. doi:10.1007/s10964-015-0355-4 Mercken, L., Snijders, T. A. B., Steglich, C., Vertiainen, E., & de Vries, H. (2010). Smoking-based selection and influence in gender-segregated friendship networks: a social network analysis of adolescent smoking. Addiction (Abingdon, England), 105(7), 1280. doi:10.1111/j.1360-0443.2010.02930.x Mitchell, J. C. (1969). Social networks in urban situations: analyses of personal relationships in Central African towns. Manchester: Manchester, Published for the Institute for Social Research, University of Zambia, by Manchester U.P. Moody, J., Brynildsen, W. D., Osgood, D. W., Feinberg, M. E., & Gest, S. (2011). Popularity trajectories and substance use in early adolescence. Social Networks, 33(2), 101-112. doi:https://doi.org/10.1016/j.socnet.2010.10.001 Mounts, N. S., & Steinberg, L. (1995). An Ecological Analysis of Peer Influence on Adolescent Grade Point Average and Drug Use. Dev Psychol, 31(6), 915-922. doi:10.1037/0012-1649.31.6.915 Mundt, M. P. (2011). The Impact of Peer Social Networks on Adolescent Alcohol Use Initiation. Academic Pediatrics, 11(5), 414-421. doi:10.1016/j.acap.2011.05.005 Murray, C. J. L., Richards, M. A., Newton, J. N., Fenton, K. A., Anderson, H. R., Atkinson, C., . . . Davis, A. (2013). UK health performance: findings of the Global Burden of Disease Study 2010. The Lancet, 381(9871), 997-1020. doi:http://dx.doi.org/10.1016/S0140-6736(13)60355-4 Orosova, O., Benka, J., Sebena, R., Petkeviciene, J., Lukacs, A., & Miovsky, M. (2014). Perceived social support and alcohol consumption among university students from four European countriesOlga Orosova. European Journal of Public Health, 24(suppl_2), cku164-101-cku164-101. doi:10.1093/eurpub/cku164.101 Osgood, D. W., Feinberg, M. E., Wallace, L. N., & Moody, J. (2014). Friendship group position and substance use. Addictive Behaviors, 39(5), 923-933. doi:10.1016/j.addbeh.2013.12.009 Paluck, E. L. (2011). Peer pressure against prejudice: A high school field experiment examining social network change. Journal of Experimental Social Psychology, 47(2), 350-358. doi:10.1016/j.jesp.2010.11.017 Panter-Brick, C., Clarke, S. E., Lomas, H., Pinder, M., & Lindsay, S. W. (2006). Culturally compelling strategies for behaviour change: A social ecology model and case study in malaria prevention. Social Science & Medicine, 62(11), 2810-2825. doi:10.1016/j.socscimed.2005.10.009 Pearson, M., Sweeting, H., West, P., Young, R., Gordon, J., & Turner, K. (2006). Adolescent substance use in different social and peer contexts: A social network analysis. Drugs: Education, Prevention and Policy, 13(6), 519-536. doi:10.1080/09687630600828912 Quardokus, K., & Henderson, C. (2015). Promoting instructional change: using social network analysis to understand the informal structure of academic departments. Higher Education, 70(3), 315-335. doi:10.1007/s10734-014-9831-0 Riner, M. E., & Saywell, R. M. (2002). Development of the Social Ecology Model of Adolescent Interpersonal Violence Prevention (SEMAIVP). Journal of School Health, 72(2), 65-70. doi:10.1111/j.1746-1561.2002.tb06517.x Rodniam, J. (2007). The social ecology model of drug use and delinquency among Thai adolescents [electronic resource]. Thesis (Ph.D.)--The University of Utah, 2007. Rodriguez, G., & Elo, I. (2002). Intra-class correlation in random-effects models for binary data. Stata Journal, 3(1). Scott, J. (1991). Social network analysis : a handbook. London: Newbury Park, Calif. : SAGE Publications. Seo, D. C., & Huang, Y. (2012). Systematic review of social network analysis in adolescent cigarette smoking behavior. J Sch Health, 82(1), 21-27. doi:10.1111/j.1746-1561.2011.00663.x Shakespeare-Finch, J., & Obst, P. L. (2011). The Development of the 2-Way Social Support Scale: A Measure of Giving and Receiving Emotional and Instrumental Support. Journal of Personality Assessment, 93(5), 483-490. doi:10.1080/00223891.2011.594124 Stevens, J. W. (2001). THE SOCIAL ECOLOGY OF THE CO-OCCURRENCE OF SUBSTANCE USE AND EARLY COITUS AMONG POOR, URBAN BLACK FEMALE ADOLESCENTS. Substance Use & Misuse, 2001, Vol.36(4), p.421-446, 36(4), 421-446. doi:10.1081/JA-100102635 Stevenson, R., & Crossley, N. (2013). Change in Covert Social Movement Networks: The ‘Inner Circle’ of the Provisional Irish Republican Army. Social Movement Studies, 13(1), 1-22. doi:10.1080/14742837.2013.832622 Sutherland, E. H. (1934). Principles of criminology. Chicago, Philadelphia: Chicago, Philadelphia, J.B. Lippincott company. Sutherland, E. H. (1955). Principles of criminology (5th ed.. ed.). Philadelphia: Philadelphia, Lippincott. Sutherland, E. H., & Cressey, D. R. (1974). Criminology. Philadelphia: Lippincott. Taft, D. R., & Sutherland, E. H. (1947). Principles of Criminology. American Sociological Review, 12(6), 736. doi:10.2307/2086971 Tarde, G. d. (1890). Les lois de L'imitation : étude sociologique. Paris: Paris : Félix Alcan. Tarde, G. d. (2013). The laws of imitation. Place of publication not identified]: Place of publication not identified : Read Books Ltd. Tucker, J. S., Green, H. D., Zhou, A. J., Miles, J. N. V., Shih, R. A., & D’Amico, E. J. (2011). Substance use among middle school students: Associations with self-rated and peer-nominated popularity. Journal of Adolescence, 34(3), 513-519. doi:https://doi.org/10.1016/j.adolescence.2010.05.016 Tucker, J. S., Miles, J. N. V., Amp, Apos, Amico, E. J., Zhou, A. J., . . . Shih, R. A. (2013). Temporal Associations of Popularity and Alcohol Use Among Middle School Students. Journal of Adolescent Health, 52(1), 108-115. doi:10.1016/j.jadohealth.2012.04.012 Urberg, K. A., Değirmencioğlu, S. M., & Pilgrim, C. (1997). Close friend and group influence on adolescent cigarette smoking and alcohol use. Dev Psychol, 33(5), 834. doi:10.1037/0012-1649.33.5.834 Valente, T. W. (2010). Social networks and health : models, methods, and applications. Oxford New York: Oxford New York : Oxford University Press. Valente, T. W., Unger, J. B., & Johnson, C. A. (2005). Do popular students smoke? The association between popularity and smoking among middle school students. Journal of Adolescent Health, 37(4), 323-329. doi:https://doi.org/10.1016/j.jadohealth.2004.10.016 Van Ryzin, M. J., Delay, D., & Dishion, T. J. (2016). Being well-liked predicts increased use of alcohol but not tobacco in early adolescence. Addictive Behaviors, 53, 168-174. doi:10.1016/j.addbeh.2015.10.017 Wasserman, S. (1994). Social network analysis : methods and applications. New York: New York : Cambridge University Press. WHO. (2010). Adolescent health. Williams, R. (2006). Application of the social ecology model on alcohol use among college athletes. In M. A. Perko (Ed.): ProQuest Dissertations Publishing. Wu, C.-I., & Lei, M.-K. (2012). Deviant Peers and Delinquency: The Influence of Classroom Context. The psychological well-being of East Asian youth Dordrecht New York: Dordrecht New York : Springer. 中文部分 Babbie, E. R. (2013). 社會科學硏究方法 (二版. ed.). 臺北市: 臺北市 : 新加坡商聖智學習. Gordis, L. (2016). 流行病學 : 第五版 (第五版. ed.). 臺北市: 臺北市 : 臺灣愛思唯爾. Yu, S. (2007). 國中生社會支持與其健康相關生活品質之關係研究 The Relationship between Social Support and Health Related Quality of Life among Junior High School Students. Retrieved from http://ntur.lib.ntu.edu.tw/handle/246246/59679 王國川, & 鍾鳳嬌. (2014). 多向度社會支持量表之心理計量特質探討-以遭受莫拉克風災青少年為例. 中華心理學刊, 56(3), 291-311. doi:10.6129/CJP.20140329 伊慶春. (2008a). 台灣青少年成長歷程研究:國一樣本(J1)第一波,青少年問卷(C00176_4)【原始數據】Taiwan Youth Project: J1W1S (C00176_4) [data file]. . 取自中央研究院人文社會科學研究中心調查研究專題中心學術調查研究資料庫。Available from Survey Research Data Archive, Academia Sinica. doi:10.6141/TW-SRDA-C00176_4-1 伊慶春. (2008b). 台灣青少年成長歷程研究:國一樣本(J1)第二波,青少年問卷(C00177_2)【原始數據】Taiwan Youth Project: J1W2S (C00177_2) [data file]. . 取自中央研究院人文社會科學研究中心調查研究專題中心學術調查研究資料庫。Available from Survey Research Data Archive, Academia Sinica. doi:10.6141/TW-SRDA-C00177_2-1 伊慶春. (2008c). 台灣青少年成長歷程研究:國一樣本(J1)第三波,青少年問卷(C00178_2)【原始數據】 Taiwan Youth Project: J1W3S (C00178_2) [data file]. . 取自中央研究院人文社會科學研究中心調查研究專題中心學術調查研究資料庫。Available from Survey Research Data Archive, Academia Sinica. doi:10.6141/TW-SRDA-C00178_2-1 吳文琪. (2005). 從個人、家庭、學校和社區面向探討影響國小學童危害健康行為發展的因素. In 李蘭 & 臺灣大學:衛生政策與管理研究所 (Eds.). 吳文琪, & Wu, W.-c. (2005). 從個人、家庭、學校和社區面向探討影響國小學童危害健康行為發展的因素. In 李蘭 & 臺灣大學:衛生政策與管理研究所 (Eds.). 吳明隆. (2014). 多層次模式的進階應用 = The advanced application of multilevel modeling (初版. ed.). 臺北市: 臺北市 : 五南. 李蘭等著. (2010). 健康行為與健康教育: 臺北:巨流圖書,2010. 林山田. (2012). 犯罪學 (增訂五版. ed.). 臺北市: 臺北市 : 三民. 林世評. (2015). LINE與Facebook的使用對人際互動之影響-以社會網絡理論為觀點 = The Effect of the LINE and Facebook Usage on the Interpersonal Interactions-A Social Network Theory Perspective [電子資源]. 碩士論文--國立高雄第一科技大學資訊管理研究所,2015(103學年度第2學期), 高雄市. 林吟霞, & 陳漢瑛. (2010). 臺北市國小高年級學童成癮物質知識、態度與行爲之研究. 生命教育與健康促進學術論文研討會論文集(2010), 73-89. 姜逸群, 黃雅雯, & 黃春太. (2003). 臺灣地區國中生物質濫用行為及相關因素之研究. 衛生教育學報Journal of Health Education, No.20, pp.89-109. 钟娅, 杨汴生, 何健, & 彭永平. (2007). 河南省城市初中学生吸烟饮酒及易成瘾药物使用情况. 中國學校衛生, 28(8), 748-750. 國民健康署. (2006). 國中學生健康行為調查. 資料來源於:衛生福利部國民健康署「健康數字123-國民健康指標互動查詢網站」https://olap.hpa.gov.tw/index.aspx. 國民健康署. (2008a). 國中學生吸菸行為調查. 資料來源於:衛生福利部國民健康署「健康數字123-國民健康指標互動查詢網站」https://olap.hpa.gov.tw/index.aspx. 國民健康署. (2008b). 國中學生健康行為調查. 資料來源於:衛生福利部國民健康署「健康數字123-國民健康指標互動查詢網站」https://olap.hpa.gov.tw/index.aspx. 國民健康署. (2009). 國中學生吸菸行為調查. 資料來源於:衛生福利部國民健康署「健康數字123-國民健康指標互動查詢網站」https://olap.hpa.gov.tw/index.aspx. 國民健康署. (2010a). 國中學生吸菸行為調查. 資料來源於:衛生福利部國民健康署「健康數字123-國民健康指標互動查詢網站」https://olap.hpa.gov.tw/index.aspx. 國民健康署. (2010b). 國中學生健康行為調查. 資料來源於:衛生福利部國民健康署「健康數字123-國民健康指標互動查詢網站」https://olap.hpa.gov.tw/index.aspx. 國民健康署. (2011). 國中學生吸菸行為調查. 資料來源於:衛生福利部國民健康署「健康數字123-國民健康指標互動查詢網站」https://olap.hpa.gov.tw/index.aspx. 國民健康署. (2012a). 國中學生吸菸行為調查. 資料來源於:衛生福利部國民健康署「健康數字123-國民健康指標互動查詢網站」https://olap.hpa.gov.tw/index.aspx. 國民健康署. (2012b). 國中學生健康行為調查. 資料來源於:衛生福利部國民健康署「健康數字123-國民健康指標互動查詢網站」https://olap.hpa.gov.tw/index.aspx. 國民健康署. (2013). 國中學生吸菸行為調查. 資料來源於:衛生福利部國民健康署「健康數字123-國民健康指標互動查詢網站」https://olap.hpa.gov.tw/index.aspx. 國民健康署. (2014). 國中學生健康行為調查. 資料來源於:衛生福利部國民健康署「健康數字123-國民健康指標互動查詢網站」https://olap.hpa.gov.tw/index.aspx. 國民健康署. (2015). 國中學生吸菸行為調查. 資料來源於:衛生福利部國民健康署「健康數字123-國民健康指標互動查詢網站」https://olap.hpa.gov.tw/index.aspx. 國民健康署. (2016). 國中學生吸菸行為調查. 資料來源於:衛生福利部國民健康署「健康數字123-國民健康指標互動查詢網站」https://olap.hpa.gov.tw/index.aspx. 陳漢瑛. (2003). 台灣原住民與非原住民靑少年物質使用行為之預測 [電子資源] : 文化價值、態度、信念、社會控制與自我控制等因素. In 何英奇 & 科. 國家實驗研究院 (Eds.). 臺北市: 臺北市 : 行政院衛生署管制藥品管理局. 陳錫琦, 施惠雯, 陳漢瑛, 徐彩莉, & 楊忠祥. (2008). 大學生成癮物質使用、性行為及其影響因素之研究~以某國立大學為例. 生命教育與健康促進學術論文研討會論文集(2008), 237-253. 黃紀, & 王德育. (2012). 質變數與受限依變數的迴歸分析. 臺北市: 五南圖書出版公司. 黃彬芳, & 陳美伶. (2014). 流行病學 = Epidemiology (第七版. ed.). 新北市: 新北市 : 新文京開發. 黃毅志. (1998). 社會階層、社會網絡與心理幸福. [Stratification, Social Network and Psychological Well-Being]. 臺灣社會學刊(21), 171-210. doi:10.6786/TJS.199810.0171 楊士隆, 戴伸峰, 顧以謙, 白新名, & 鄭凱寶. (2013). 青少年使用非法藥物調查研究-以高雄市為例. [A Study of Illegal Drug Use among Youths- the Cases of Kaohsiung City]. 青少年犯罪防治研究期刊, 5(1), 91-130. 楊雪華. (2003). 高中生的同儕關係與吸菸行為 : 社會網絡觀點 =. Social network and smoking behavior of high school students. 博士論文--國立臺灣大學衛生政策與管理硏究所. 楊雪華, 陳端容, 李蘭, & 柯姍如. (2002a). 台北市某高中一年級學生的班級人際網路位置與吸菸行為的關係. [The Relationship Between Classmates' Interpersonal Network and Smoking Behavior: a Preliminary Investigation Among the 10th Graders]. 台灣公共衛生雜誌, 21(3), 164-172. doi:10.6288/TJPH2002-21-03-02 楊雪華, 陳端容, 李蘭, & 柯姍如. (2002b). 台北市某高中一年級學生的班級人際網路位置與吸菸行為的關係. 臺灣公共衛生雜誌, 21(3), 164-172. doi:10.6288/TJPH2002-21-03-02 葉盈伶. (2013). 社群網絡偵測之相鄰矩陣轉換. (碩士), 國立臺北大學, 新北市. 榮泰生. (2013). UCINET在社會網絡分析(SNA)之應用 (初版. ed.). 臺北市: 臺北市 : 五南. 蔡麗紅, 關百娟, 涂慧慈, 羅于惠, 沈昱名, & 史麗珠. (2011). 桃園地區中輟生物質濫用情形及影響因素. 秀傳醫學雜誌, 10(1), 25-36. 衛生福利部食品藥物管理署, & 國立臺灣大學公共衛生學院. (2016). 全國物質使用調查結果報告. 全國物質使用調查結果報告. 謝雨生, 吳齊殷, & 李文傑. (2006). 青少年網絡特性、互動結構和友誼動態. [Friendship Network Characteristics, Interaction Context Structure, and Friendship Dynamics among Adolescents]. 台灣社會學(11), 175-236. doi:10.6676/TS.2006.11.175 | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/69211 | - |
dc.description.abstract | 背景:世界衛生組織強調青少年時期是進行健康行為塑造與健康促進的良好時間點,且青少年開始使用物質的時間也差不多在國中階段,因此有許多學者與研究持續在討論青少年的這類行為,例如:吸菸、喝酒與使用藥物等,希望能夠防範於未然。國內外文獻都有看到班級同儕或是同儕關係結構對於物質使用之影響,但較少從班級同儕關係的結構變化看到其對行為之影響,國內更缺乏相關研究。
目的:了解國中學生在班上的網絡位置以及其變化如何影響自己的物質使用行為,並檢視學生物質使用是否會隨著班級不同或者周遭同儕使用與否而有差異。 方法:本研究使用長期世代追蹤研究設計,主要以社會網絡的分析方法來探討國中學生在班上的社會關係結構與同儕物質使用如何影響到自己的物質使用行為。主要會從學生在班上的人氣以及是屬於團體成員、團體外圍或者是孤立者以及國中三年中社會網絡的變化,來討論其與物質使用行為或行為改變之關聯。 樣本:來自於分層隨機抽樣臺灣臺北市、臺北縣(今新北市)與宜蘭縣三縣市2000年國一生所進行的「台灣青少年成長歷程研究」調查中的J1樣本。 結果:在班級中處於團體位置的學生比較不會有物質使用行為出現,而性別、其餘偏差行為、每月零用錢、父親教育程度與學業排名對於學生的物質使用行為表現有顯著的影響。另外,身旁好友較多人有物質使用或者團體內的成員物質使用情況較嚴重,學生本人也愈容易有物質使用行為出現。另外,維持團體成員者較傾向於維持沒有物質使用,其他的影響因子包含學生父母婚姻的滿意度、偏差行為、每月零用錢以及學業表現排名。 結論:在台國中生班級內的團體規範上遵循社會上主流的價值觀,認為物質使用是負面的,符合社會控制理論的概念,即沒有物質使用常與較好的社會網絡關係或結構有關。而依據差別接觸理論,暴露在愈多物質使用的學生也愈容易使用。 | zh_TW |
dc.description.abstract | Background:World Health Organization (WHO) emphasized that adolescence is the good timing for developing healthy behaviors and health promotion. Because most of young people start their behaviors of substance-using in junior high school, such as: smoking, drinking, and drugs using. So many studies and researchers discuss this problem constantly, and hope to reduce the problems of substance-using in young ages. Many studies showed the influence of students’ social relationship about substance use, but there are few literatures about this issue in Taiwan.
Objectives:To understand how peers’ social network affects their behavior of substance-using, and examine whether it will be various among different classes about the behaviors or whether closing friends and peer group use the substance or not. Methods:This study use cohort study design, and mainly using social network analysis to explore how the junior high school students' friendship structure in class affected their behavior. Students are divided into sub-group members, the periphery or the isolate individuals in their class to discuss the relevance to the behavior of substance-using. In addition, it will also examine how students’ social relationship changing affect their behavior changing during the three years in junior high school. Samples:J1 samples from a stratified random sampling survey conducted in Taipei City, Taipei County (“New Taipei City” now) and Yilan County in 2000, when the samples are 7th grade students. Results:Student who is member of group, compared to the periphery, is less likely to use substance. And gender, other deviant behaviors, monthly average allowance, father’s education degree, and academic performance are related with behaviors of substance-using. Additionally, the more friends use substance or in their group, the student will more likely to use substance. Student who keeps the position of member of group, compared to other small changing, is less likely to use substance. The happiness degree of parents’ marriage, other deviant behaviors, monthly average allowance, and academic performance are significantly related with changing of substance-using. Conclusions:The norms of sub-group in class from students in junior high school in Taiwan follow mainstream that think of substance using is negative. According to the social control theory, student who keeps no substance-using usually have well social network relationship and structure. And according to the differential association theory, the student exposes more friends with substance-using, he/she will more likely to use. | en |
dc.description.provenance | Made available in DSpace on 2021-06-17T03:10:40Z (GMT). No. of bitstreams: 1 ntu-107-R05850008-1.pdf: 19845162 bytes, checksum: 376b85944d20b05a417be7449ee54fd2 (MD5) Previous issue date: 2018 | en |
dc.description.tableofcontents | 論文口試委員審定書 I
謝辭 II 摘要 IV ABSTRACT V 目錄 VII 圖目錄 IX 表目錄 X 第一章 緒論 1 第一節 研究背景與動機 1 第二節 研究目的 8 第三節 研究重要性 9 第二章 文獻探討 10 第一節 社會網絡分析法之概念與人氣影響物質使用行為之相關研究 10 第二節 物質使用行為促成之相關理論 18 第三節 網絡位置如何影響國中生物質使用行為 28 第四節 影響國中生物質使用行為相關之其他因素 34 第三章 研究材料與方法 37 第一節 研究架構 37 第二節 研究假說 46 第三節 研究材料與對象 48 第四節 研究變項與操作型定義 51 第五節 研究工具與統計分析 62 第四章 研究結果 68 第一節 描述性統計分析 68 第二節 雙變項分析 77 第三節 多階層邏輯斯迴歸分析 96 第四節 邏輯斯迴歸分析 97 第五節 無序多分類依變數分析:多項勝算對數模型 109 第五章 討論 129 第一節 研究發現與假說驗證 129 第二節 研究限制 135 第六章 結論與建議 138 第一節 研究結論 138 第二節 研究建議 139 參考文獻 141 外文部分 141 中文部分 152 附錄一 國一至國三班級分群最高Q值與小團體數量比較表 157 附錄二 國一至國三班級最高Q值與小團體數描述性統計 160 附錄三 國一班級社會網絡位置區分圖 161 附錄四 國二班級社會網絡位置區分圖 202 附錄五 國三班級社會網絡位置區分圖 243 附錄六 各班級學生國三時物質使用情形之描述統計 284 附錄七 各班級學生國三時物質使用盛行率之描述統計 287 附錄八 各班級學生國一至國三班級網絡位置之描述統計 288 附錄九 各班級網絡位置學生國三物質使用盛行率之描述統計 294 附錄十 班級人氣對於物質使用行為的影響經控制後邏輯斯迴歸分析結果(含父母婚姻滿意度交互作用) 295 附錄十一 班級網絡位置對於物質使用行為的影響經控制後邏輯斯迴歸分析結果(含父母婚姻滿意度交互作用) 296 | |
dc.language.iso | zh-TW | |
dc.title | 探討北北宜國中生班級網絡位置與物質使用之關係 | zh_TW |
dc.title | A Study on the Association Between Network Position and Substance Use in a Sample of Junior High School Students in Taipei City, Taipei County, and Yilan County | en |
dc.type | Thesis | |
dc.date.schoolyear | 106-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 鄭力軒(Li-Hsuan Cheng),呂信慧(Hsin-Hui Lu) | |
dc.subject.keyword | 社會網絡分析,社會控制理論,差別接觸理論,網絡變化,物質使用, | zh_TW |
dc.subject.keyword | social network analysis,social control theory,differential association theory,network changing,substance use, | en |
dc.relation.page | 296 | |
dc.identifier.doi | 10.6342/NTU201801607 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2018-07-18 | |
dc.contributor.author-college | 公共衛生學院 | zh_TW |
dc.contributor.author-dept | 健康行為與社區科學研究所 | zh_TW |
顯示於系所單位: | 健康行為與社區科學研究所 |
文件中的檔案:
檔案 | 大小 | 格式 | |
---|---|---|---|
ntu-107-1.pdf 目前未授權公開取用 | 19.38 MB | Adobe PDF |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。