研究生: |
蔡宜螢 |
---|---|
論文名稱: |
以多層次分析探討影響國中生拒絕藥物行為意圖之因素-計畫行為理論之應用 Multilevel modeling of effects of individual and contextual influences on adolescents' behavioral intention of refusing drug use |
指導教授: | 郭鐘隆 |
學位類別: |
碩士 Master |
系所名稱: |
健康促進與衛生教育學系 Department of Health Promotion and Health Education |
論文出版年: | 2011 |
畢業學年度: | 99 |
語文別: | 中文 |
論文頁數: | 80 |
中文關鍵詞: | 多層次分析 、計畫行為理論 、拒絕藥物行為意圖 |
英文關鍵詞: | hierarchical linear regression, theory of planned behavior, behavioral intention, drug use |
論文種類: | 學術論文 |
相關次數: | 點閱:194 下載:21 |
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本研究目的為以多層次分析(階層線性模型,HLM)並運用計畫行為理論來探討個人層次因素與學校層次因素對「拒絕藥物行為意圖」之影響。以台灣北部四縣市(基隆市、新北市、台北市、桃園縣)隨機抽樣的24所國民中學之七年級學生為研究對象,合計2285人。研究的重要結果如下:
一、個人層次因素中,「同儕藥物使用情形」、「學生自主性」、「拒絕藥物態度」、「拒絕藥物主觀規範」及「拒絕藥物知覺行為控制」皆為拒絕藥物行為意圖的顯著個人變項。同儕有使用藥物者其拒絕藥物行為意圖比同儕沒有使用藥物者低,學生自主性越高與拒絕藥物態度、拒絕藥物主觀規範及拒絕藥物知覺行為控制得分越高,拒絕藥物行為意圖得分亦越高。11個個人層次的解釋變項可解釋學校內拒絕藥物行為意圖之變異的60.3%。
二、學校層次因素中,「學校都市化程度」及「學校平均拒絕藥物知覺行為控制」為影響拒絕藥物行為意圖的顯著學校變項。學校位於都市地區其拒絕藥物行為意圖比位於鄉村者高;而學校平均拒絕藥物知覺行為控制得分越高,學校整體拒絕藥物使用行為意圖越高。7個學校層次的解釋變項共可解釋學生拒絕藥物行為意圖之變異量的0.93%。
三、在控制個人層次因素後,學校層次因素不再對拒絕藥物行為意圖具有影響,顯示造成學生拒絕藥物行為意圖的高低,主要是受到學生間變異的影響,而學校間變異的影響較微小。可新增同儕藥物使用、學生自主性等變項於計畫行為理論架構中,以增強拒絕藥物行為意圖的解釋力。
整體而言,影響國中生拒絕藥物行為意圖主要為個人層次因素,包括計畫行為理論變項、同儕藥物使用情形及學生自主性。因此,建議未來的藥物使用防制介入課程可依據計畫行為理論及社會影響理論(應針對有同儕藥物使用的高危險群學生)進行課程設計,並多給予學生正向的學習經驗,讓學生得以改善自主性動機。
The study applied theory of planned behavior (TPB) and used hierarchical linear modeling (HLM) to examine the relationships between individual- and contextual-level factors and adolescents’ behavioral intention of refusing drug use. The data were obtained via self-report survey from a random sample of 2285 seventh grade students among 24 schools. Results indicated first, that having peers who used drug was related to decrease behavioral intention of refusing drug use and that having positive autonomy, attitudes, subjective norm and perceived behavior control towards refusal drug use was related to increase behavioral intention of refusing drug use; second, schools in the urban had significantly higher behavioral intention of refusing drug use than those in the rural and as school-level perceived behavior control towards refusal drug use increased, students’ behavioral intention of refusing drug use also increased; third, that the individual-level factors influenced students’ behavioral intention of refusing drug use, over and above contextual-level factors. These results suggested that future drug use prevention programs should base on theory and provide more positive learning experiences to students.
一、中文部分
李信良 (2004)。家庭環境因素對於青少年藥物濫用之影響-一個後設
分析研究。衛生教育學報,21,19-50。
李信良 (2005)。以家庭背景社會環境學校狀況個人心理因素探討青
少年藥物濫用的模式。中央警察大學執法新知論
衡,1(4),53-177。
周思源、李玫姿、梁文敏、張麗惠、郭憲華、賴璟賢等(2006)。台灣
地區在學青少年藥物使用行為與其家庭結構特性之相關性。中台
灣醫誌,11,243-251。
郭憲文、李玫姿 (2004)。台灣地區在學國中、高中生藥物濫用之調
查(行政院衛生署科技研究發展計畫編號:DOH93-NNB-1009)。台
北:行政院衛生署管制藥品管理局。
郭鐘隆、黃久美 (2008)。教育部96學年度藥物濫用防制問卷資料統
計分析。台北: 教育部。
陳為堅、蕭朱杏、陳端容、丁志音、李景美、林喬祥等 (2004)。全
國青少年非法藥物使用調查(行政院衛生署科技研究發展計畫編
號: DOH93-NNB-1012)。台北:行政院衛生署管制藥品管理局。
陳為堅、蕭朱杏、陳端容、丁志音、李景美、林喬祥等 (2005)。全
國青少年非法藥物使用調查(行政院衛生署科技研究發展計畫編
號: DOH93-NNB-1012)。台北:行政院衛生署管制藥品管理局。
陳為堅、蕭朱杏、陳端容、丁志音、李景美、林喬祥等 (2006)。全
國青少年非法藥物使用調查(行政院衛生署科技研究發展計畫編
號: DOH93-NNB-1012)。台北:行政院衛生署管制藥品管理局。
溫福星、邱皓正(2011)。多層次模式方法論:階層線性模式的關鍵
問題與試解。台北:αβγ實驗室。
謝俊義 (2010)。HLM多層次線性分析:理論、方法與實務。台北:鼎
茂圖書。
二、英文部分
Ajzen, I. (1985). From intentions to actions: A theory of
planned behavior. Berlin and New York: AUOringer-Verlag.
Ajzen, I. (1991). The theory of planned behavior.
Organizational Behavior and Human Decision ProceAUOSES,
50, 179-211.
Ajzen, I., & Fishbein, M. (1980). Understanding attitudes
and predicting social behavior. Englewood Cliffs,:
NJ:Prentice Hall
Allahverdipour, H., Bazargan, M., Farhadinasab, A.,
Hidarnia, A., & Bashirian, S. (2009). Effectiveness of
Skill-Based Substance Abuse Intervention among Male
Adolescents in an Islamic Country: Case of the Islamic
Republic of Iran. Journal of Drug Education, 39(2),
211-222.
Armitage, C. J., & Conner, M. (2001). Eficacy of the theory
of planned behaviour: A meta-analytic review. British
Journal of Social Psychology, 40, 471-499.
Arteaga, I., Chen, C.-C., & Reynolds, A. J. (2010).
Childhood predictors of adult substance abuse. Children
& Youth Services Review, 32, 1108-1120.
Bailey, S. & Hubbard, R. (1990). Developmental variation in
the context of marijuana initiation among adolescent.
Journal of Health and Social Behavior, 31, 58-70.
Bandura, A. (1986). Social foundations of thought and
action: A social cognitive theory. Englewood Cliffs,
NJ: Prentice Hall.
Bassi, D. (1988 ). Large and small sample properties of
maximum likelihood estimation for the hierarchical
linear model. Ph.D. thesis,
Department of Counseling, Education Psychology and
special Education, Michigan State University.
Baumrind, D., & Moselle, K. A. (1985). A development
perspective on adolescent drug abuse. Advances in
Alcohol & Substance Abuse, 4(3-4), 41-67.
Blazer, D.G. & Wu, L.T. (2009). The Epidemiology of
Substance Use and Disorders Among Middle Aged and
Elderly Community Adults: National Survey on Drug
Useand Health (NSDUH). American Journal of Geriatric
Psychiatry, 17(3), 237-245.
Bloom, B.(1985). A factor analysis of self report measures
of family functioning. Family Process, 24, 225-239.
Bond, L., Butler, H., Thomas, L., Carlin, J., Glover, S.,
Bowes, G., et al. (2007). Social and School
Connectedness in Early Secondary School as Predictors
of Late Teenage Substance Use, Mental Health, and
Academic Outcomes. Journal of Adolescent Health, 40(4),
357-359.
Bronfenbrenner, U. (1979). The ecology of human
development. MA: Harvard University Press.
Bronfenbrenner, U. (1986). Ecology of the family as a
context for human development: Research perAUOectives.
Developmental Psychology, 22(6), 723-742.
Brook, J. S., Brook, D. W., De La Rosa, M., Duque, L. F.,
Rodriguez, E., Montoya, I. D., et al. (1998). Pathways
to marijuana use among adolescents:
Cultural/ecological, family, peer, and personality.
Journal of the American Academy of Child & Adolescent
Psychiatry, 37(7), 759.
Brook,J. S., Brook, D. W., Gordon, A., Whiteman, M. &
Cohen, P.(1990). The psychosocial etiology of
adolescent drug use: A family interactional approach.
Genetic Social and General Psychology Monographs, 116,
111-267.
Brook, J. S., Brook, D. W., Kats, N., Arencibia-Mireles,
O., & Finch, S. J. (2009). Ecology and Drug Use:
Universal Predictors Across Time and Place.
Psychological Reports, 104(3), 989-1006.
Bryant, A. L., Schulenberg, J. E., O'Malley, P. M.,
Bachman, J. G., & Johnston, L. D. (2003). How Academic
Achievement, Attitudes, and Behaviors Relate to the
Course of Substance Use During Adolescence: A 6-Year,
Multiwave National Longitudinal Study. Journal of
Research on Adolescence, 13(3), 361-397.
Buhler, A., Schroder, E., & Silbereisen, R. K. (2008). The
role of life skills promotion in substance abuse
prevention: a mediation analysis. Health Education
Research, 23(4), 621-632.
Carvajal,S.C., Wiatrek,D..E, Evans, R.I., Knee, C.R., &
Nash, S.G.(2000). Psychosocial determinants of the
onset and escalation of smoking: cross-sectional and
prospective findings in multiethnicmiddle school
samples. Journal of adolescents health, 27, 255-265.
Carvajal, S.C., Hanson, C., Downing, R.A., Coyle K.K., &
Pederson, L.L.( 2004). Theory-based determinants of
youth smoking : a multiple influence approach. Journal
of applied social psychology, 34, 59-84.
Cohen, J.(1988). Statistical power analysis for the
behavior science (2nd ed.). Hillsdale, NJ:Eribaum.
Collins, D., Pan, Z., Johnson, K., Courser, M., & Shamblen,
S.( 2008). Individual and Contextual predictors of
Inhalant Use Among 8th Graders: A Multilevel Analysis.
Journal of Drug Education, 38(3), 193-210.
Connell, C. M., Gilreath, T. D., Aklin, W. M., & Brex, R.
A. (2010). Social-Ecological Influences on Patterns of
Substance Use Among Non-Metropolitan High School
Students. American Journal of Community Psychology, 45,
36-48.
Courgeau , D.(2003). Methodology and epistemology of
multilevel analysis: Approach from different social
science. Norwell, MA: Kluwer.
Deci, E.L., Ryan, R.M.(1985). Intrinsic Motivation and
Self-Determination in Human Behavior. New York, NY:
Plenum Press.
de la Moral Jime´nez M et al. (2006). Factors related to
young people’s attitudes to the consumption of alcohol
and other psychoactive substances. Psicothema, 18(1),
52–58.
Dinges, M. M., & Oetting, E. R. (1993). Similarity in drug
use patterns between adolescents and their friends.
Adolescence, 28(110), 253.
Ennett, S.T., Flewelling, R.L., Lindrooth, R.C., & Norton,
E.C. (1997). School and neighborhood characteristics
associated with school rates of alcohol, cigarette, and
marijuana use. Journal of Health and Social Behavior,
38, 55-71.
Francis, J.J., Eccles, M.P., Johnston, A. et al.(2004).
Constructing Questionnaires Based on the Theory of
Planned Behavior: A Manual for Health Services
Researchers. Newcastle upon Tyne: Centre for Health
Services Research, University of Newcastle.
Goldstein, S. E., Davis-Kean, P. E., & Eccles, J. S.
(2005). Parents, Peers, and Problem Behavior: A
Longitudinal Investigation of the Impact of
Relationship Perceptions and Characteristics on the
Development of Adolescent Problem Behavior.
Developmental Psychology, 41(2), 401-413.
Goodman, E., & Huang, B. (2002). Socioeconomic Status,
Depressive Symptoms, and Adolescent Substance Use. Arch
Periatrics Adolescent Medicine, 156, 448-453.
Goti, J., Diaz, R., Serrano, L., Gonzalez, L., Calvo, R.,
Gual, A., et al. (2009). Brief intervention in
substance-use among adolescent psychiatric patients: a
randomized controlled trial. European Child &
Adolescent Psychiatry, 19, 503-511.
Hansen, W. B., & Dusenbury, L. (2004). All Stars Plus: A
Competence and Motivation Enhancement Approach to
Prevention. Health Education, 104(6), 371-381.
Hanson, C.L., Novilla M.L., Barnes, M.D., Eggett, D.,
Mckell, C., & Reichman, C.. (2009). Using the
Rural-Urban Continuum to Explore Adolescent Alcohol,
Tobacco, and Other Drug Use in Montana. Journal of
Child & Adolescent Substance Abuse, 18, 93-105.
Hawkins, J. D., Catalano, R. F., & Miller, J. Y. (1992).
Risk and protective factors for alcohol and other drug
problems in adolescence and early adulthood:
Implications for substance abuse prevention.
Psychological Bulletin, 112(1), 64-105.
Jessor, R., & Jessor, S. L. (1977). Problem behavior and
psychosocial development. New York: Academic Press.
Johnson, L. D., O'Malley, P. M., Bachman, J. G.,
Schulenberg, J. E., & National Inst. on Drug Abuse, R. M. D. (2006). Monitoring the Future: National Results on
Adolescent Drug Use. Overview of Key Findings 2005. NIH
Publication No. 06-5882: National Institute on Drug
Abuse (NIDA).
Kandel, D. B., Kessler, R. C., & Margulies, R. Z. (1978).
Antecedents of adolescent initiation into stages of
drug use: A developmental analysis. Journal of Youth
and Adolescence, 7(1), 13-40.
Kliewer, W., & Murrelle, L. (2007). Risk and Protective
Factors for Adolescent Substance Use: Findings from a
Study in Selected Central American Countries. Journal
of Adolescent Health, 40(5), 448-455.
Kreft, I. & De Leeuw, J. (1996). Are multilevel technigues
necessary? An overview, including simulation
studies.Unpublished manuscript, California State
University at Los Angels.
Kreft, I. & De Leeuw, J. (1998). Introducing multilevel
modeling. Thousand Oaks, CA: Sage Publications.
Kumar, R., O'Malley, P. M., Johnston, L. D., Schulenberg,
J. E., & Bachman, J. G. (2002). Effects of School-Level
Norms on Student Substance Use. Prevention Science,
3(2), 105-124.
Lee, V.E., Bryk, A.S. & Smith, J.B.(1990). The Organization
of Effective Secondary schools. In Darling-Hamond L,
ed. Review of Research in Education, Washington:
American Education Research Association.
Lemstra, M., Bennett, N., Nannapaneni, U., Neudorf, C.,
Warren, L., Kershaw, T., et al. (2010). A systematic
review of school-based marijuana and alcohol prevention
programs targeting adolescents aged 10-15. Addiction
Research & Theory, 18, 84-96.
Levesque, C.S., Williams, G.C., Elliot, D., Pickering,
M.A., Bodenhamer, B., & Finley, P.J. (2007). Validating
the theoretical structure of the Treatment
Self-Regulation Questionnaire (TSRQ) across three
different health behaviors. Health Eduvation Research,
22(5), 691-702.
Libbey, H. P.(2004). Measuring student relationships to
school: attachment, bonding, connectedness, and
engagement. Journal of school health, 74(7), 274-283.
Lifrak, P. D., McKay, J. R., Rostain, A., Alterman, A. I.,
& O'Brien, C. P. (1997). Relationship of Perceived
Competencies, Perceived Social Support, and Gender to
Substance Use in Young Adolescents.
Luke, D.A.(2004).Multilevel modeling. Newbury Park, CA:Sage.
Mayberry, M. L., EAUOelage, D. L., & Koenig, B. (2009).
Multilevel Modeling of Direct Effects and Interactions
of Peers, Parents, School, and Community Influences on
Adolescent Substance Use. Journal of Youth and
Adolescence, 38(8), 1038-1049.
McCuller, W. J., Sussman, S., Dent, C. W., & Teran, L.
Concurrent prediction of drug use among high-risk
youth. Addictive Behaviors, 26(1), 137-142.
McNeal, R. B., Jr., Hansen, W. B., Harrington, N. G., &
Giles, S. M. (2004). How All Stars Works: An
Examination of Program Effects on Mediating Variables.
Health Education & Behavior, 31(2), 165-178.
Musher-Eizenman, D. R., Holub, S. C., & Arnett, M. (2003).
Attitude and Peer Influences on Adolescent Substance
Use: The Moderating Effect of Age, Sex, and Substance.
Journal of Drug Education, 33(1), 1-23.
National Center on Addiction and Substance Abuse (2002). No
place to hide: Substance abuse in mid-size cities and
rural America. Retrieved January 17, 2007, from
http://www.casacolumbia.org/absolutenm/articlefiles
/379-no_place_to_hide_01-28-00.
Osler, M., NordentoFS, M., & Andersen, A.-M. N. (2006).
Childhood Social Environment and Risk of Drug and
Alcohol Abuse in a Cohort of Danish Men Born in 1953.
American Journal of Epidemiology, 163(7), 654-661.
Peters, G.-J. Y., Kok, G., & Abraham, C. (2008). Social
cognitive determinants of ecstasy use to target in
evidence-based interventions: a meta-analytical review.
Addiction, 103(1), 109-118.
Raudenbush, S., Bryk, A., Cheong, Y.F., & Congdon,
R.(2004). HLM 6: Hierarchical linear and nonlinear
modeling. Lincolnwood, IL: Scientific SoFSware
International Inc.
Resnicow, K, Zhang, N., Vaughan, R.D. et al. (2010). When
Intraclass Correlation Coefficients Go Awry: A Case
Study From a School-Based Smoking Prevention Study in
South Africa. American Journal of Public Health, 100,
1714-1718.
Ryan, R.M., Connell, J.P. (1989). Perceived locus of
causality and internalization: examining reasons for
acting in two domains. J Pers Soc Psychol, 57, 749–61.
Semmer, N. K., Paul, D. C., James, H. D., Feiner, F., &
Peter, L. (1987). Psychosocial Predictors of Adolescent
Smoking in Two German Cities: The Berlin-Bremen Study.
Morbidity and Mortality Weekly Report, 36, 3-10.
Siddiqui, O., Hedeker, D., Flay, B. R., & Hu, F. B. (1996).
Intraclass correlation estimates in a school-based
smoking prevention study. American Journal of
Epidemiology, 144, 425-433.
Skager, R. & Fisher, D.G. (1989). Substance use among high
school student in relation to school characteristics.
Addictive Behaviors, 14, 129-138.
Starfield, B., Robertson, J., & Riley, A.W.(2002). Social
class gradients and health in childhood. Ambuatoryl
Pediatrics , 2(4), 238-246.
Suldo, S. M., Hardesty, R. B., Mihalas, S. T., Powell, H.
A., & Witte, R. B. (2005). Environmental predictors of
substance use in secondary students. Paper presented at
the annual conventionof the American Psychological
Association, Washington, DC.
Suldo, S. M., Mihalas, S., Powell, H., & French, R. (2008).
Ecological predictors of substance use in middle school
students. School Psychology Quarterly, 23(3), 373-388.
Swaim, R.C. (2003). Individual and school level effects of
perceived harm, perceived availability, and community
size on marijuana use among 12th-grade students: A
random effects model. Prevention Science,4(2), 89-98.
Tebes, J.K., Feinn, R., Vanderploeg, J.V. et al. (2007).
Impact of a Positive Youth Development Program in Urban
After-School Settings on the Prevention of Adolescent
Substance Use. Journal of Adolescent Health, 41,
239-247.
Tonin, S. L., Burrow-Sanchez, J. J., Harrison, R. S., &
Kircher, J. C. (2008). The influence of attitudes,
acculturation, and gender on substance use for Mexican
American middle school students. Addictive Behaviors,
33(7), 949-954.
U.S. Census Bureau (2002). Census 2000 Urban and Rural
Classification. Retrieved January 17, 2007, from
http://www.census.gov/geo/www/ua/ua_2k.html.
Wallace, J. M., Yamaguchi, R., Bachman, J.G., O’Malley,
P.M., Schulenberg, J.E., & Johnston, L.D. (2007).
Religiosity and Adolescent Substance Use: The Role of
Individual and Contextual Influences. Social Problems,
54(2), 308-327.
Wang, Y.-C., Lee, C.-M., Lew-Ting, C.-Y., Hsiao, C. K.,
Chen, D.-R., & Chen, W. J. (2005). Survey of substance
use among high school students in Taipei: Web-based
questionnaire versus paper-and-pencil questionnaire.
Journal of Adolescent Health, 37(4), 289-295.
Warr, M. (2002). Companions in crime: The social aAUOects
of criminal conduct. Cambridge: Cambridge Press.
Williams, G. C., Cox, E. M., Kouides, R., & Deci, E. L.
(1999). Presenting the facts about smoking to
adolescents: Effects of an autonomysupportive style.
Archives of Pediatrics and Adolescent Medicine, 153,
959–964.
Williams, G.C., Gagne, M., Ryan, R.M., Deci, E.L.(2002).
Facilitating autonomous motivation for smoking
cessation. Health Psychology, 21, 40–50.
Williams, G.C., McGregor, H.A., Zeldman, A., Freedman,
Z.R., Deci, E.L.(2004). Testing a self-determination
theory process model for promoting glycemic control
through diabetes self-management. Health Psychology,
23, 58–66.
Williams, G.C., McGregor, H.A., Levesque, C., Kouides,
R.W., Ryan, R.M., & Deci, E.L. (2006). Testing a
self-determination theory intervention for motivatig
tobacco cessation: supporting autonomy and competence
in a clinical trial. Health Psychology,25, 91-101.
Young, S. E., Corley, R. P., Stallings, M. C., Rhee, S. H.,
Crowley, T. J., & Hewitt, J. K. (2002). Substance use,
abuse and dependence in adolescence: prevalence,
symptom profiles and correlates. Drug and Alcohol
Dependence, 68(3), 309-322.
Zimmerman, M. A., & Schmeelk-Cone, K. H. (2003). A
Longitudinal Analysis of Adolescent Substance Use and
School Motivation Among African American Youth. Journal
of Research on Adolescence,13(2), 185-210.