Project success' effects on substance use-related attitudes and behaviors: A randomized controlled trial in alternative high schools

Journal of Drug Education

Volumn 41, Issue 1, 2011, Pages 17-44

  Clark, Heddy ^a   Ringwalt, Chris ^a   Shamblen, Stephen ^a   Hanley, Sean ^a  

^a PACIFIC INSTITUTE FOR RESEARCH AND EVALUATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CANNABIS;

ALCOHOL CONSUMPTION; ARTICLE; CANNABIS SMOKING; CLINICAL ARTICLE; DRUG ABUSE; HIGH RISK BEHAVIOR; HIGH SCHOOL STUDENT; HUMAN; PEER GROUP; PEER PRESSURE; RANDOMIZED CONTROLLED TRIAL; SCHOOL HEALTH SERVICE; SELF CONCEPT; STUDENT ATTITUDE; SUBSTANCE ABUSE; VIOLENCE;

ADOLESCENT; ADOLESCENT BEHAVIOR; ATTITUDE TO HEALTH; HEALTH BEHAVIOR; HEALTH EDUCATION; HEALTH KNOWLEDGE, ATTITUDES, PRACTICE; HUMANS; LINEAR MODELS; PEER GROUP; QUESTIONNAIRES; SCHOOLS; SUBSTANCE-RELATED DISORDERS; WASHINGTON;

EID: 79955577690     PISSN: 00472379     EISSN: 15414159     Source Type: Journal    
DOI: 10.2190/DE.41.1.b     Document Type: Article

References (87)

1. Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice Hall.
2. Arthur, M. W. (2002). Measuring risk and protective factors for substance use, delinquency, and other adolescent problem behaviors: The Communities That Care Youth Survey. Evaluation Review, 26, 575-601.
3. Bailey, J. A. (2009). Addressing common risk and protective factors can prevent a wide range of adolescent risk behaviors. Journal of Adolescent Health, 45, 107-108.
4. Bandura, A. (1977). Social learning theory. Englewood Cliffs, NJ: Prentice Hall.
5. Beck, A. T. (1991). Cognitive therapy: A 30-year retrospective. American Psychologist, 46, 368-375.
6. Botvin, G. J. (2000). Preventing drug abuse in schools: Social and competence enhancement approaches targeting individual-level etiologic factors. Addictive Behaviors, 25, 887-897.
7. Clark, H. K., Ringwalt, C. L., Hanley, S., Shamblen, S. R., Flewelling, R. L.,&Hano, M. C. (2010). Project SUCCESS effects on the substance use of alternative high school students. Addictive Behaviors, 35, 209-217.
8. Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Hillsdale, NJ: Lawrence Erlbaum Associates.
9. Conduct Problems Prevention Research Group. (2000). Merging universal and indicated prevention programs: The Fast Track model. Addictive Behaviors, 25, 913-927.
10. Crosby, R. A., Salazar, L. F., DiClemente, R. J., & Lang, D. L. (2010). Balancing rigor against the inherent limitations of investigating hard-to-reach populations. Health Education Research, 25, 1-5.
11. Danseco, E. R., & Kingery, P. M. (1999). Perceived risk of harm from marijuana use among youth in the USA. School Psychology International, 20, 39-56.
12. Dempster, A., Laird, N., & Rubin, D. (1977). Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society, Series B, 39, 1-38.
13. Derzon, J. H., & Lipsey, M. W. (1999a). A synthesis of the relationship of marijuana use with delinquent and problem behaviors. School Psychology International, 20, 57-68.
14. Derzon, J. H., & Lipsey, M. W. (1999b). What good predictors of marijuana use are good for. School Psychology International, 20, 69-85.
15. Duitsman, D. M., & Colbry, S. L. (1995). Perceived risk and use as predictors of substance use among college students. Health Values, 19, 44-52.
16. Duncan, T. E., Duncan, S. C., & Hops, H. (1994). The effects of family cohesiveness and peer encouragement on the development of adolescent alcohol use: A cohortsequential approach to the analysis of longitudinal data. Journal of Studies on Alcohol, 55, 588-599. (Pubitemid 24280593)
17. Dusenbury, L., Brannigan, R., Falco, M., & Hansen, W. B. (2003). A review of research on fidelity of implementation: Implications for drug abuse prevention in school settings. Health Education Research, 18, 237-256. (Pubitemid 36457251)
18. Eggert, L. L., Thompson, E. A., Herting, J. R., Nicholas, L. J., & Dicker, B. G. (1994). Preventing adolescent drug abuse and high school dropout through an intensive school-based social network development program. American Journal of Health Promotion, 8, 202-215. (Pubitemid 24031168)
19. Ellickson, P. L., Bell, R. M., & Harrison, E. R. (1993). Changing adolescent propensities to use drugs: Results from Project ALERT. Health Education Quarterly, 20, 227-242.
20. Ellickson, P. L., McCaffrey, D. F., Ghosh-Dastidar, B., & Longshore, D. L. (2003). New inroads in preventing adolescent drug use: Results from a large-scale trial of Project ALERT in middle schools. American Journal of Public Health, 93, 1830-1836. (Pubitemid 38480147)
21. Ellickson, P. L., McCaffrey, D. F., & Klein, D. J. (2009). Long-term effects of drug prevention on risky sexual behavior among young adults. Journal of Adolescent Health, 45, 111-117.
22. Ellickson, P. L., Tucker, J. S., Klein, D. J., & McGuigan, K. A. (2001). Prospective risk factors for alcohol misuse in late adolescence. Journal of Studies on Alcohol, 62, 773-782. (Pubitemid 34118932)
23. Elliott, D. S., & Mihalic, S. (2004). Issues in disseminating and replicating effective prevention programs. Prevention Science, 5, 47-52.
24. Fearnow-Kenney, M., Hansen, W. B., & McNeal, R. B., Jr. (2002). Comparison of psychosocial influences on substance use in adolescents: Implications for prevention programming. Journal of Child & Adolescent Substance Abuse, 11, 1-24.
25. Flannery, D. J., Vazsonyi, A. T., Torquati, J., & Fridrich, A. (1994). Ethnic and gender differences in risk for early adolescent substance use. Journal of Youth and Adolescence, 23, 195-213.
26. Flay, B. R. (1986). Efficacy and effectiveness trials (and other phases of research) in the development of health promotion programs. Preventive Medicine, 15, 451-474.
27. Forman, E. S., Dekker, A. H., Javors, J. R., & Davison, D. T. (1995). High-risk behaviors in teenage male athletes. Clinical Journal of Sport Medicine, 5, 36-42.
28. Ghosh-Dastidar, B., Longshore, D. L., Ellickson, P. L., & McCaffrey, D. F. (2004). Modifying pro-drug risk factors in adolescents: Results from Project ALERT. Health Education & Behavior, 31, 318-334. (Pubitemid 38648668)
29. Gonzalez, G. M., & Haney, M. L. (1990). Perceptions of risk as predictors of alcohol, marijuana, and cocaine use among college students. Journal of College Student Development, 31, 313-318.
30. Graham, J. W., Marks, G., & Hansen, W. B. (1991). Social influence processes affecting adolescent substance use. Journal of Applied Psychology, 76, 291-298.
31. Griffin, K. W., Botvin, G. J., Nichols, T. R., & Doyle, M. M. (2003). Effectiveness of a universal drug abuse prevention approach for youth at high risk for substance use initiation. Preventive Medicine, 36, 1-7. (Pubitemid 36034665)
32. Gritz, E. R., Prokhorov, A. V., Hudmon, K. S., Jones, M. M., Rosenblum, C., Chang, C.-C., et al. (2003). Predictors of susceptibility to smoking and ever smoking: A longitudinal study in a triethnic sample of adolescents. Nicotine &Tobacco Research, 5, 493-506. (Pubitemid 37081130)
33. Grunbaum, J. A., & Basen-Engquist, K. (1993). Comparison of health risk behaviors between students in a regular high school and students in an alternative high school. Journal of School Health, 63, 421-425.
34. Grunbaum, J. A., Kann, L., Kinchen, S. A., Ross, J. G., Gowda, V. R., Collins, J. L., et al. (2000). Youth Risk Behavior Surveillance National Alternative High School Youth Risk Behavior Survey, United Sates, 1998. Journal of School Health, 70, 5-17.
35. Grunbaum, J. A., Lowry, R., & Kann, L. (2001). Prevalence of health-related behaviors among alternative high school students as compared with students attending regular high schools. Journal of Adolescent Health, 29, 337-343. (Pubitemid 33042438)
36. Grunbaum, J. A., Tortolero, S., Weller, N., & Gingiss, P. (2000). Cultural, social, and intrapersonal factors associated with substance use among alternative high school students. Addictive Behaviors, 25, 145-151. (Pubitemid 30055270)
37. Hannan, P. J., & Murray, D. M. (1996). Gauss or Bernoulli? A Monte Carlo comparison of the performance of the linear mixed-model and the logistic mixed-model analyses in simulated community trials with a dichotomous outcome variable at the individual level. Evaluation Review, 20, 338-352. (Pubitemid 126704662)
38. Hansen, W. B. (1993). School-based alcohol prevention programs. Alcohol Health & Research World, 17, 54.
39. Hansen, W. B. (2005). Survey scale for measuring positive peer support. Greensboro, NC: Tanglewood Research.
40. Heckman, J. J. (1976). The common structure of statistical models of truncation, sample selection and limited dependent variables and a simple estimator for such models. Annals of Economic and Social Measurement, 5, 475-492.
41. Heckman, J. J. (1979). Sample selection bias as a specification error. Econometrica, 47, 153-161.
42. Helstrom, A., Bryan, A., Hutchison, K. E., Riggs, P. D., & Blechman, E. A. (2004). Tobacco and alcohol use as an explanation for the association between externalizing behavior and illicit drug use among delinquent adolescents. Prevention Science, 5, 267-277. (Pubitemid 39422805)
43. Hemmelstein, N. (1995). Adolescent marijuana use and perception of risk. Journal of Alcohol and Drug Education, 41, 1-15. (Pubitemid 126005734)
44. Henry, K. L., Slater, M. D., & Oetting, E. R. (2005). Alcohol use in early adolescence: The effect of changes in risk taking, perceived harm and friends alcohol use. Journal of Studies on Alcohol, 66, 275-283. (Pubitemid 40629177)
45. Hobbis, I. C. A., & Sutton, S. (2005). Are techniques used in cognitive behaviour therapy applicable to behaviour change interventions based on the theory of planned behaviour? Journal of Health Psychology, 10, 7-18. (Pubitemid 40110992)
46. Jessor, R., & Jessor, S. I. (1977). Problem behavior and psychosocial development: A longitudinal study of youth. New York: Academic Press.
47. Johnston, L. D., OMalley, P. M., Bachman, J. G., & Schulenberg, J. E. (2007). Monitoring the Future: National survey results on drug use, 1975-2006. Vol. 1: Secondary school students (NIH Publication No. 07-6205). Bethesda, MD: National Institute on Drug Abuse.
48. Kaluza, G. (2000). Changing unbalanced coping profiles-A prospective controlled intervention trial in worksite health promotion. Psychology and Health, 15, 423-433.
49. King County Prosecutors Office. (n.d.). A parents guide to the Becca Bill. Help keep our kids in school and open the door to their future. Retrieved January 22, 2009, from http://www.metrokc.gov/proatty/truancy/brochures/Parent. pdf
50. Kleiner, B., Porch, R., & Farris, E. (2002). Public alternative schools and programs for students at risk of education failure: 2000-01 (No. NCES 2002-004). Washington, DC: U.S. Department of Education, National Center for Education Statistics.
51. Lehr, C. A., & Lange, C. M. (2003). Alternative Schools and the Students They Serve: Perceptions of State Directors of Special Education. Policy Research Brief (No. 14(1)): University of Minnesota: Minneapolis, Institute on Community Integration.
52. Lehr, C. A., Lanners, E. J., & Lange, C. M. (2003). Alternative Schools: Policy and Legislation Across the United Sates. Research Report 1. Minneapolis, MN: University of Minnesota: Minneapolis, Institute on Community Integration.
53. Lehr, C. A., Moreau, R. A., Lange, C. M., & Lanners, E. J. (2004). Alternative Schools: Findings from a National Survey of the States. Research Report 2. Minneapolis, MN: University of Minnesota: Minneapolis, Institute on Community Integration.
54. Lipsey, M. W. (1999). Can rehabilitative programs reduce the recidivism of juvenile offenders? An inquiry into the effectiveness of practical programs. Virginia Journal of Social Policy & the Law, 6, 611-641.
55. MacKinnon, D. P., Johnson, C. A., Pentz, M. A., Dwyer, J. H., Hansen, W. B., Flay, B. R., et al. (1991). Mediating mechanisms in a school-based drug prevention program: First-year effects of the Midwestern Prevention Project. Health Psychology, 10, 164-172.
56. McNeal, R. B., Jr., & Hansen, W. B. (1999). Developmental patterns associated with the onset of drug use: Changes in postulated mediators during adolescence. Journal of Drug Issues, 29, 381-400. (Pubitemid 29356707)
57. Meier, M. H., Slutske, W. S., Arndt, S., & Cadoret, R. J. (2007). Positive alcohol expectancies partially mediate the relation between delinquent behavior and alcohol use: Generalizability across age, sex, and race in a cohort of 85,000 Iowa schoolchildren. Psychology of Addictive Behaviors, 21, 25-34. (Pubitemid 46494635)
58. Moore, M. J., & Werch, C. E. C. (2005). Sport and physical activity participation and substance use among adolescents. Journal of Adolescent Health, 36, 486-493. (Pubitemid 40719896)
59. Morehouse, E. (2004). Project SUCCESS Logic Model. Unpublished manuscript, Student Assistance Services Corporation, Tarrytown, New York.
60. Morehouse, E., Fallick, A., & Pierce, B. (2002). Project SUCCESS implementation manual: Schools using coordinated community efforts to strengthen students. Tarrytown, NY: Student Assistance Services Corporation.
61. Morehouse, E., & Tobler, N. S. (2000). Project SUCCESS final report (submitted to U.S. Department of Health and Human Services, Center for Substance Abuse Prevention; Grant No. 4 HD1 SP07240). Tarrytown, NY: Student Assistance Services Corporation.
62. Morrison, N. (2001). Group cognitive therapy: Treatment of choice or sub-optimal option? Behavioural and Cognitive Psychotherapy, 29, 311-332. (Pubitemid 32666762)
63. 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, 1-23. (Pubitemid 36583234)
64. National Center for Education Statistics. (n.d.). Common Core of Data (CCD): Public elementary/secondary school universe survey data [Data file]. Retrieved August 11, 2008, from
65. No Child Left Behind Act of 2001, Pub. L. No. 107-110, 115 Stat 1425 (2002).
66. Novak, K. B., & Crawford, L. A. (2001). Perceived drinking norms, attention to social comparison information, and alcohol use among college students. Journal of Alcohol and Drug Education, 46, 18-33. (Pubitemid 36981989)
67. OCallaghan, F., Reid, A., & Copeland, J. (2006). Risk perception and cannabis use in a sample of young adults. Journal of Substance Use, 11, 129-136. (Pubitemid 43738899)
68. Office of Superintendent of Public Instruction. (n.d.). Running Start. Retrieved January 22, 2009, from http://www.k12.wa.us/RunningStart/default.aspx
69. Raudenbush, S. W., & Bryk, A. (2002). Hierarchical linear models (2nd ed.). Thousand Oaks, CA: Sage.
70. Raudenbush, S. W., & Liu, X. (2000). Statistical power and optimal design for multisite randomized trials. Psychological Methods, 5, 199-213.
71. Renes, S. L., Ringwalt, C., Clark, H. K., & Hanley, S. (2007). Great minds dont always think alike: The challenge of conducting substance abuse prevention research in public schools. Journal of Drug Education, 37, 97-105. (Pubitemid 47267377)
72. Research Triangle Institute. (2003). 2003 National Survey on Drug Use and Health (SAMHSA Contract No. 238-98-9008, Project No. 7190). Rockville, MD: Substance Abuse and Mental Health Services Administration.
73. Resnick, M. D., Bearman, P. S., Blum, R. W., Bauman, K. E., Harris, K. M., Jones, J., et al. (1997). Protecting adolescents from harm: Findings from the National Longitudinal Study on Adolescent Health. Journal of the American Medical Association, 278, 823-832. (Pubitemid 27383372)
74. Ringwalt, C. L., Ennett, S., Vincus, A., Thorne, J., Rohrbach, L. A., & Simons-Rudolph, A. (2002). The prevalence of effective substance use prevention curricula in U.S. middle schools. Prevention Science, 3, 257-265. (Pubitemid 44133864)
75. Shamblen, S. R., & Ringwalt, C. L. (2008). The effects of Project SUCCESS on student academic performance: A quasi-experimental study. Journal of Drug Education, 38, 1-14.
76. Stronski, S. M., Ireland, M., Michaud, P., Narring, F., & Resnick, M. D. (2000). Protective correlates of stages in adolescent substance use: A Swiss national study. Journal of Adolescent Health, 26, 420-427. (Pubitemid 30259105)
77. Student Assistance Services Corporation. (2009). Evaluation Research. Retrieved September 30, 2009, from http://www.sascorp.org/evaluation/research. htm
78. Substance Abuse and Mental Health Services Administration. (2008). National registry of evidence based programs and practices. Project Success: Study populations. Retrieved January 26, 2009, from http://nrepp.samhsa.gov/ programfulldetails.asp? PROGRAM-ID=199#demographics
79. Substance Abuse and Mental Health Services Administration. (2009). NREPP:SAMHSAs national registry of evidence based programs and practices. Retrieved January 15, 2010, from http://www.nrepp.samhsa.gov/index.asp
80. Sussman, S. (1996). Development of a school-based drug abuse prevention curriculum for high-risk youths. Journal of Psychoactive Drugs, 28, 169-182. (Pubitemid 26234533)
81. Sussman, S., Dent, C. W., Stacy, A. W., & Craig, S. (1998). One-year outcomes of Project Towards No Drug Abuse Preventive Medicine, 27, 632-642 [erratum: 627(635, Pt631), pp. 766, 1998].
82. Tang, J., & Sable, J. (2009). Characteristics of the 100 Largest Public Elementary and Secondary School Districts in the United States: 2006-07 (No. NCES 2009-342).
83. Washington, DC: National Center for Education Statistics, Institute of Education Sciences, U.S. Department of Education.
84. U.S. Census Bureau. (2003). United States Census 2000: Questionnaires. Retrieved August 11, 2008, from http://www.census.gov/dmd/www/2000quest.html
85. Vaughan, R., & Johnson, P. (2007). The effectiveness of Project SUCCESS (Schools using coordinated community efforts to strengthen students) in a regular secondary school setting. Unpublished manuscript.
86. Vicary, J. R., Smith, E., Caldwell, L., & Swisher, J. D. (1998). Relationship of changes in adolescents leisure activities to alcohol use. American Journal of Health Behavior, 22, 276-282.
87. Weller, N. F., Tortolero, S. R., Kelder, S. H., Grunbaum, J. A., Carvajal, S. C., & Gingiss, P. M. (1999). Health risk behaviors of Texas students attending dropout prevention/ recovery schools in 1997. Journal of School Health, 69, 22-28.