Addiction Research & Theory · 2008 · 11 citations · 23 references
Social SciencesPsychiatryPsychologyAddiction PsychiatryPsychometricsSubstance Use DisordersAddictionAddiction AssessmentAlcohol DependenceAlcohol Use DisorderCorrectional PsychologyLatent Trait ModelingAlcohol Dependence TreatmentEigenvalue ComputationLatent Factor ModelsLatent Population StructureStructured Interview AssessmentSubstance Abuse TreatmentSubstance Use Disorder DiagnosisWomen's Alcohol Dependence
Results obtained from a structured interview of substance abuse diagnoses were subjected to taxometric analysis in a group of 459 low and minimum security female federal prisoners applying for admission to a comprehensive drug treatment program. Drawing indicators from a DSM-IV diagnosis of alcohol dependence (tolerance/withdrawal, loss of control, negative social/psychological consequences) the authors conducted a taxometric analysis using the following procedures: mean above minus below a cut (MAMBAC), maximum eigenvalue (MAXEIG), and latent mode factor analysis (L-Mode). Results were generally consistent with taxonic (categorical) latent structure for a DSM-IV diagnosis of alcohol dependence. The implications and limitations of this study are examined and recommendations for future research are offered.
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