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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Request Reprint E-Mail: gwalters@bop.gov
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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.
Read Full Abstract
Request Reprint E-Mail: gwalters@bop.gov
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