The research has five technical and five theoretical goals. The technical goals are (a) a thorough study of the diagnostic efficiency an item response characteristics of all diagnostic criteria in the six recent diagnostic systems (DSM-III, DSM-III-R, DSM-IV, ICD-9, ICD-10, ASAM); (b) studies of the concurrent validity of DSM-IV and ICD-10 with independent illness validators; (c) studies of the predictive validity of the DSM-IV and ICD-10 algorithms by both summary severity score and critical items, with multiple indices of 6- and 12-month outcomes; (d) studies in severity scaling by the major systems (DSM and ICD). including item difficulty, inter-item consistency and distributional analysis of summary algorithm scores; and (e) development of experimental, minimal, and drug-customized diagnostic algorithms through the use of criterion weighting schemes based on prior research. Theoretical goals include (a) research on the construct validity of the DSM-IV and ICD-10 approaches to drug dependence, and more importantly the construct validity of the Alcohol Dependence Syndrome on which they are based through two pathways - factor-analytic research, and the longitudinal, illness-staging method; (b) research on the construct validity of the drug abuse category through the same methods; (c) research on developmental pathways into drug and alcohol dependence through the examination of prodromal course and illness onset; (d) the study of individual differences variables such as age, gender, period cohort, and special population effects, in the diagnostic data; and (e) an integrated approach to describing stable subsample differences by subtyping and comorbidity studies.

Agency
National Institute of Health (NIH)
Institute
National Institute on Drug Abuse (NIDA)
Type
Research Project (R01)
Project #
2R01DA005688-04
Application #
2118125
Study Section
Drug Abuse Epidemiology and Prevention Research Review Committee (DAPA)
Project Start
1989-09-30
Project End
1997-02-28
Budget Start
1995-03-01
Budget End
1996-02-29
Support Year
4
Fiscal Year
1995
Total Cost
Indirect Cost
Name
Rutgers University
Department
Psychology
Type
Other Domestic Higher Education
DUNS #
038633251
City
New Brunswick
State
NJ
Country
United States
Zip Code
08901
Craissati, Jackie; Beech, Anthony (2006) The role of key developmental variables in identifying sex offenders likely to fail in the community: an enhanced risk prediction model. Child Abuse Negl 30:327-39
Langenbucher, James W; Labouvie, Erich; Martin, Christopher S et al. (2004) An application of item response theory analysis to alcohol, cannabis, and cocaine criteria in DSM-IV. J Abnorm Psychol 113:72-80
Chung, Nicola; Langenbucher, James; McCrady, Barbara et al. (2002) Use of survival analyses to examine onset and staging of DSM-IV alcohol symptoms in women. Psychol Addict Behav 16:236-42
Langenbucher, J; Bavly, L; Labouvie, E et al. (2001) Clinical features of pathological gambling in an addictions treatment cohort. Psychol Addict Behav 15:77-9
Chung, T; Langenbucher, J; Labouvie, E et al. (2001) Changes in alcoholic patients' coping responses predict 12-month treatment outcomes. J Consult Clin Psychol 69:92-100
Deas, D; Riggs, P; Langenbucher, J et al. (2000) Adolescents are not adults: developmental considerations in alcohol users. Alcohol Clin Exp Res 24:232-7
Langenbucher, J; Martin, C S; Labouvie, E et al. (2000) Toward the DSM-V: the Withdrawal-Gate Model versus the DSM-IV in the diagnosis of alcohol abuse and dependence. J Consult Clin Psychol 68:799-809
Langenbucher, J; Chung, T; Morgenstern, J et al. (1997) Physiological alcohol dependence as a ""specifier"" of risk for medical problems and relapse liability in DSM-IV. J Stud Alcohol 58:341-50
Morgenstern, J; Langenbucher, J; Labouvie, E et al. (1997) The comorbidity of alcoholism and personality disorders in a clinical population: prevalence rates and relation to alcohol typology variables. J Abnorm Psychol 106:74-84
Langenbucher, J; Sulesund, D; Chung, T et al. (1996) Illness severity and self-efficacy as course predictors of DSM-IV alcohol dependence in a multisite clinical sample. Addict Behav 21:543-53

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