36
Views
21
CrossRef citations to date
0
Altmetric
Original Article

Characteristics of Inconsistent Respondents who have “Ever Used” Drugs in a School-Based Sample

, , &
Pages 269-295 | Published online: 03 Jul 2009

References

  • Bachman J G, O'Malley P M. When four months equal a year: Inconsistencies in student reports of drug use. Public Opin. Q. 1981; 45: 536–548
  • Bailey S L, Flewelling R L, Rachal J V. The characteristics of inconsistencies in self-reports of alcohol and marijuana use in a longitudinal study of adolescents. J. Stud. Alcohol 1992; 53: 636–647
  • Benson P, Donahue M. Ten-year trends in at-risk behavior: A national study of African-Americans adolescents. J. Adolesc. Res. 1989; 4: 125–139
  • Bock R D. Measurement of human variation: A two stage model. Multilevel Analysis of Educational Data, R D Bock. Academic Press, New York, NY 1989
  • Brook J S. Interactional theory: Its utility in explaining drug use behavior among African-American and Puerto Rican youth. Drug abuse among minority youth. Methodological Issues and Recent Research Advances, MR De La Rosa, JL Recio Adrados. (NIDA Research Monograph 130), National Institute of Drug Abuse, Rockville, MD 1993
  • Bryk A S, Raudenbush. Hierarchical Linear Models: Applications and Data Analysis Models. Sage, Newbury Park, CA 1982
  • Casti J L. Complexification: Explaining a Paradoxical World through the Science of Surprise. Harper Collins, New York, NY 1994
  • Cohen S, Kararck T, Mermelstein R. A global measure of perceived stress. J. Health Soc. Behav. 1983; 24: 385–396
  • Collins L M, Sussman S, Rauch J M, Dent C W, Johnson C A, Hansen W B, Flay B R. Psychosocial predictors of young adolescent cigarette smoking: A sixteen month, three wave longitudinal study. J. Appl. Soc. Psychol. 1987; 17: 554–573
  • Dempster A P, Rubin D B, Tsutakawa R K. Estimation in covariance components models. J. Am. Stat. Assoc. 1981; 76: 341–353
  • Elliot D S, Huizinga D, Ageton S S. Explaining Delinquency and Drug Use. Sage, Beverly Hills, CA 1985
  • Fendrich M, Vaughn C M. Diminished lifetime substance use over time. Public Opin. Q. 1994; 58: 96–123
  • Flay B R, Brannon B R, Johnson C A, Hansen W B, Ulene A L, Whitney-Saltiel D A, Gleason L R, Sussman S, Gavin M D, Glowacz K M, Sobol D F, Spiegal D C. The television, school and family smoking cessation and prevention project: I. Theoretical basis and program development. Prev. Med. 1988; 17: 585–607
  • Flay B R, Miller T Q, Hedeker D, Siddiqui O, Britton C F, Brannon B R, Johnson C A, Hansen W B, Sussman S, Dent C. The television, school and family smoking prevention and cessation project: VIII. Student outcomes and mediating variables. Prev. Med. 1995; 24: 29–40
  • Fiore M, Novotny T, Pierce J, Hatzianreu E, Patel K, Davis R. Trends in cigarette smoking in the United States: The changing influence of gender and race. JAMA 1990; 261: 49–55
  • Gibbons R D, Eaternaux C, Hedeker D, Davis J M. Random regression models: A comprehensive approach to the analysis of longitudinal psychiatric data. Psychopharmacol. Bull. 1988; 27: 73–77
  • Harrison L, Hughes A. The Validity of Self-Reported Drug Use: Improving the Accuracy of Survey Estimates. (NIDA Research Monograph 167), National Institute of Drug Abuse, Rockville, MD 1997
  • Hedeker D. Mixor: A Fortran Program for Mixed-Effects Ordinal Probit and Logistic Regression. Technical Report. Prevention Research Center, School of Public Health, University of Illinois at Chicago, Chicago, IL 1993
  • Hedeker D, Gibbons R D. A random-effects ordinal regression model for multilevel analysis. Biometrics 1994; 50: 933–944
  • Jennrich R I, Schlucher M D. Unbalanced repeated-measures models with structured covariance matrices. Biometrics 1986; 42: 805–820
  • Laird N M, Ware J H. Random effects models for longitudinal data. Biometrics 1982; 38: 963–974
  • Longford N T. A fast scoring algorithm for maximum likelihood estimation in unbalanced mixed models with nested random effects. Biometrika 1987; 74: 817–827
  • Lorenz E N. The Essence of Chaos. University of Washington Press, Seattle, WA 1993
  • Luetgert M L, Armstrong A H. Methodological issues in drug usage surveys: Anonymity, recency, and frequency. Int. J. Addict. 1973; 8: 683–689
  • Magura S, Kang S. The validity of self-reported cocaine use in two high risk populations. The Validity of Self-Reported Drug Use: Improving the Accuracy of Survey Estimates, L Harrison, A Hughes. (NIDA Research Monograph 167, pp. 227–246), National Institute of Drug Abuse, Rockville, MD 1997
  • Martin G L, Newman I M. Assessing the validity of self-reported adolescent cigarette smoking. J. Drug Educ. 1988; 18: 275–284
  • Mensch B S, Kandel D B. Underreporting of substance use in a national longitudinal youth cohort: Individual and interviewer effects. Public Opin. Q. 1988; 52: 100–124
  • Needle R H, Jou S, Su S S. The impact of changing methods of data collection on the reliability of self-reported drug use of adolescents. Am. J. Drug Alcohol Abuse 1989; 15: 275–289
  • Needle R H, McCubbin H, Lorence J, Hochhauser M. Reliability and validity of adolescent self-reported drug use in a family-based study: A methodological report. Int. J. Addict. 1983; 18: 901–912
  • O'Malley P M, Bachman J G, Johnston L D. Reliability and consistency in self-reports of drug use. Int. J. Addict. 1983; 18: 805–824
  • Pedersen W. Reliability of drug use responses in a longitudinal study. Scand. J. Psychol. 1990; 31: 28–33
  • Pulkkinen L. Youthful smoking and drinking in a longitudinal perspective. J. Youth Adolesc. 1993; 12: 253–283
  • Siddiqui O, Flay B R, Hu FB. Factors affecting attrition in a longitudinal smoking prevention study. Prev. Med. 1996; 25: 554–560
  • Simon T R, Sussman S, Dent C W, Stacy A W. Predictors of misreporting cigarette smoking initiation among adolescents. Eval. Rev. 1996; 20(5)552–568
  • Single E, Kandel D, Johnson B. The reliability and validity of drug use responses in a large scale longitudinal survey. J. Drug Issues 1975; 5: 426–443
  • Sobol D F, Rohrbach L A, Dent C W, Gleason L, Brannon B R, Johnson C A, Flay B R. The integrity of a smoking prevention curriculum delivery. Health Educ. Res. 1989; 4: 59–67
  • Sussman S, Dent C W, Stacy A W, Buciaga C, Raynor A, Turner G E, Charlin V, Craig S, Hansen W B, Burton D, Flay B R. Peer group association and adolescent tobacco use. J. Abnorm. Psychol. 1990; 99: 349–352
  • United States Department OF Health And Human Services (1994 Preventing Tobacco Use among Young People. A Report of the Surgeon General. Atlanta, GA: US Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health
  • Windle M A. Longitudinal study of antisocial behaviors in early adolescence as predictors of late adolescent substance use: Gender and ethnic group differences. J. Abnorm. Psychol. 1990; 99: 86–91

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.