A factor mixture model approach to elaborating on offender mental health classification with the MMPI-2-RF
A large proportion of prison inmates suffer from mental illnesses or severe personality disorders; therefore, offender classification is a worthwhile endeavor both for efficiently allocating mental health treatment resources and security risk classification. This study sought to elaborate on offender classification by using an advanced statistical technique, factor mixture modeling, which capitalizes on the strengths of both latent trait analysis and latent class analysis. A sample consisting...[Show more]
|Collections||ANU Research Publications|
|Source:||Journal of Personality Assessment|
|01_Sellbom_A_factor_mixture_model_2014.pdf||422.49 kB||Adobe PDF||Request a copy|
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