OBJECTIVE: The present investigation had two main goals: (1) Determine whether binary substance use disorder (SUD) diagnoses are indicators of a unidimensional trait indexing severity of disorder; and, (2) demonstrate the predictive, concurrent and construct validity of the SUD severity scale. METHODS: Boys and their biological parents were administered structured diagnostic interviews to diagnose SUD. Item response theory (IRT) was applied to determine whether the diagnoses are indicators of a unidimensional trait. The score on this scale was correlated with substance use behavior, violence, treatment history, risky sex, and social adjustment. RESULTS: SUD diagnoses are indicators of a unidimensional latent trait. Maternal and paternal SUD severity predicted son's SUD severity at age 19. The score on the SUD severity scale correlated with drug use frequency, number of different drugs used in lifetime, treatment seeking, illegal behavior, social maladjustment, and risky sex. CONCLUSION: SUD can be quantified on an interval scale indexing severity of disorder. The advantages of measuring SUD severity as a continuous trait are discussed.
Application of item response theory to quantify substance use disorder severity. Publishing Authors By Initials
Application of item response theory to quantify substance use disorder severity. Journal Published:
PUBLICATION TYPE: Validation Studies
Journal: Addictive behaviors
VOLUME: 31
Page Numbers: 1035-49
Journal Abbreviation:
ISSN: 0306-4603
DAY: 27
MONTH: 04
YEAR: 2006
Application of item response theory to quantify substance use disorder severity. Information
Number of References:
LANGUAGE: eng
NlmUniqueID: 7603486
Application of item response theory to quantify substance use disorder severity. Keywords Mesh Terms:
KEYWORDS: Violence
MESH TERMS: psychology
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Grant and Affiliation Information for Application of item response theory to quantify substance use disorder severity.
AFFILIATION: Center for Education and Drug Abuse Research, Department of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, 711 Salk Hall, Pittsburgh, PA 15261, USA. levent@pitt.edu
Country: England
AGENCY: United States NIDA
GRANT: R01 DA019157
ACRONYM: DA
MEDLINETA: Addict Behav
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