The Construct and Predictive Validity of Different Approaches to Combining Urine and Self-Reported Drug Use Measures among Older Adolescents after Substance Abuse Treatment

References

• Lennox RD, Dennis ML, Scott CK, Funk RR. Combining psychometric and biometric measures of substance use. Drug Alcohol Depend. 2006;83:95–103.
   PubMed Web of Science ®Google Scholar
• Spear LP. The adolescent brain and the college drinker: Biological basis of propensity to use and misuse alcohol. J Stud Alcohol. 2002;Sup 14:71–81.
   Google Scholar
• Dennis ML, Babor T, Roebuck MC, Donaldson J. Changing the focus: The case for recognizing and treating marijuana use disorders. Addiction. 2002;97:S4–S15.
   PubMed Web of Science ®Google Scholar
• Buchan BJ, Dennis ML, Tims FM, Diamond GS. Cannabis use: consistency and validity of self report, on-site urine testing, and laboratory testing. Addiction. 2002;97:S98–S108.
   PubMed Web of Science ®Google Scholar
• Dennis ML, Dawud-Noursi S, Muck RD, McDermeit (Ives) M. The need for developing and evaluating adolescent treatment models. In: Stevens SJ, Morral AR, eds. Adolescent Substance Abuse Treatment in the United States: Exemplary Models from a National Evaluation Study. Binghamton, NY: Haworth Press; 2003:3–34.
   Google Scholar
• Webb CPM, Burleson JA, Ungemack JA. Treating juvenile offenders for marijuana problems. Addiction. 2002;97:S35–S45.
   PubMed Web of Science ®Google Scholar
• Lennox RD, Steele P, Zarkin G, Bray J. The differential effects of alcohol consumption and dependence on adverse alcohol-related consequences. Drug Alcohol Depend. 1998;50:211–220.
   PubMed Web of Science ®Google Scholar
• Lennox RD, Zarkin GA, Bray JW. Latent variable models of alcohol-related constructs. J Subst Abuse. 1996;8:241–250.
   PubMedGoogle Scholar
• Dennis ML, Godley SH, Diamond G, , et al. The Cannabis Youth Treatment (CYT) Study: Main findings from two randomized trials. J Subst Abuse Treat. 2004;27:197–213.
   PubMed Web of Science ®Google Scholar
• Morral AR, McCaffrey DF, Ridgeway G, Mukherji A, Beighley C. The Relative Effectiveness of 10 Adolescent Substance Abuse Treatment Programs in the United States. Pittsburgh, PA: RAND Corporation; 2006.
   Google Scholar
• Shane P, Jasiukaitis P, Green RS. Treatment outcomes among adolescents with substance abuse problems: the relationship between comorbidities and post-treatment substance involvement. Eval Program Plann. 2003;26:393–402.
   Web of Science ®Google Scholar
• Stevens SJ, Morral AR, eds. Adolescent Substance Abuse Treatment in the United States: Exemplary Models From a National Evaluation Study. Binghamton, NY: Haworth Press; 2003.
   Google Scholar
• Chan Y-F, Dennis ML, Funk RR. Prevalence and comorbidity of major mental disorders among adolescents and adults presenting to substance abuse treatment. J Subst Abuse Treat. Under review.
   Google Scholar
• Dennis ML. Global Appraisal of Individual Needs (GAIN): Administration Guide for the GAIN and Related Measures (Version 1299). Bloomington, IL: Chestnut Health Systems; 1999.
   Google Scholar
• Dennis ML, Titus JC, White M, Unsicker J, Hodgkins D. Global Appraisal of Individual Needs (GAIN): Administration Guide for the GAIN and Related Measures. Version 5 ed. Bloomington, IL: Chestnut Health Systems; 2003.
   Google Scholar
• Dennis ML, Titus JC, Diamond G, , et al. The Cannabis Youth Treatment (CYT) experiment: Rationale, study design, and analysis plans. Addiction. 2002;97:S16–S34.
   PubMed Web of Science ®Google Scholar
• Dennis ML, Scott CK, Funk R. An experimental evaluation of recovery management checkups (RMC) for people with chronic substance use disorders. Eval Program Plann. 2003;26:339–352.
   PubMed Web of Science ®Google Scholar
• Godley MD, Kahn JH, Dennis ML, Godley SH, Funk RR. The stability and impact of environmental factors on substance use and problems after adolescent outpatient treatment for cannabis use or dependence. Psychol Addict Behav. 2005;19:62–70.
   PubMed Web of Science ®Google Scholar
• White M. Predicting violence in juvenile offenders: The interaction of individual, social, and environmental influences. Offender Substance Abuse Report. 2005;83–90.
   Google Scholar
• Bollen K, Lennox R. Conventional wisdom on measurement: A structural equation perspective. Psychol Bull. 1991;110:305–314.
   Web of Science ®Google Scholar
• Bollen KA. Structural Equations with Latent Variables. New York: Wiley; 1989.
   Google Scholar
• Lennox RD, Dennis ML. Measurement error issues in substance abuse services research: lessons from structural equation modeling and psychometric theory. Eval Program Plann. 1994;17:399–407.
   Web of Science ®Google Scholar
• Nunnally JC, Bernstein IH, eds. Psychometric Theory. Third edition. New York: McGraw-Hill; 1994.
   Google Scholar
• American Psychiatric Association; Diagnostic and Statistical Manual of Mental Disorders. Fourth edition. Washington, DC: American Psychiatric Association; 1994.
   Google Scholar
• American Psychiatric Association; Diagnostic and Statistical Manual of Mental Disorders (DSM-IV-TR). 4th – text revision ed. Washington, DC: American Psychiatric Association; 2000.
   Google Scholar