MMPI profiles of males accused of severe crimes: a cluster analysis

Abstract

In studies attempting to classify criminal offenders by cluster analysis of Minnesota Multiphasic Personality Inventory-2 (MMPI-2) data, the number of clusters found varied between 10 (the Megargee System) and two (one cluster indicating no psychopathology and one exhibiting serious psychopathology). The latter results raise doubts about the suitability of the MMPI-2 for classification in forensic settings. The present study aimed at deriving an empirical classification system using cluster analysis of 247 MMPI-2 profiles of pretrial criminal defendants in a forensic psychiatric observation clinic. Results indicated only a ‘non-disturbed’ and a ‘disturbed’ profile, differing on general elevation of MMPI-2 profiles but displaying no qualitatively distinct profiles. The clusters differed on age at admission and first conviction, indicating a late onset of criminal activity for disturbed offenders. Also, the clusters differed significantly on Axis I diagnosis and borderline significantly on Axis II diagnosis. The absence of distinct personality profiles between the clusters suggests restricted usefulness of the MMPI-2 in a forensic context of diverse and severe psychopathology and serious crimes. Either the investigated population is in fact extremely homogeneous, truly comprising only two kinds of offenders, or the types of offenders in these populations are not effectively distinguished by the MMPI-2.     

Implementing violence and incident reporting measures on a forensic mental health unit

The assessment of risk and prediction of violence in mental health units can play a large role in creating a safer environment for both the staff and the patients. Nurses in forensic units are in a unique position in regards to assessment of violence as they spend a great deal of time with the patients. Nurses on a forensic mental health unit scored the Brøset Violence Checklist (BVC) twice daily for 12 weeks for all patients either resident on or admitted to the unit (N?=?46). The Staff Observation Aggression Scale-Revised (SOAS-R) was used to report any adverse incidents (N?=?51). Data were examined at the both the item and scale level. Main results showed the area under the curve values of the BVC score, slide rule, and the sum of BVC and slide rule score in turn demonstrated strong predictive accuracy for inpatient aggression (0.68–0.73). Through logistic regression analyses the BVC uniquely predicted inpatient aggression but adding the slide rule did not improve prediction. Predictive accuracy was found across three diagnostic groups – dementia, psychosis and substance use disorders. These results provide further support on the predictive accuracy of the BVC for short-term violence in forensic mental health settings.     

Sensitivity of TATP to a TASER Electrical Output

A series of experiments were performed to evaluate and document the effect of a TASER (“stun gun”) on triacetone triperoxide (TATP), an easily manufactured explosive used often in IEDs and suicide bombing vests. TATP samples were synthesized and subjected to several tests of their sensitivity. These samples were run through a BAM Friction test with a result of <0.5 N, Impact Test with a result of 5.8 ± 0.4 cm, and Electrostatic Discharge test with a result of 0.073 ± 0.018 J. In addition, TATP was shocked with a TASER in a variety of configurations. The TATP reacted in 17/17 tests when the TASER arced through the TATP and 0/4 times when the TATP was configured in such a way that the TATP was not subjected to the electrical arc. Based on the experimental data, TATP will readily explode in a variety of configurations by a TASER or similar device. Testing should be expanded, as the data presented here are limited to a single formulation of TATP. Just one of a large array of TASER‐like devices by a single manufacturer were tested; other devices, scenarios and formulations of TATP and other likely threat materials should be assessed.     

Do different types of incubators produce different types of innovations?

Incubators are heterogeneous but there is a lack of understanding of the variety of innovation involved. We use four archetypes of incubator discussed in the literature (basic research, university, economic development and private incubator) and analyze their generation of different types of innovation (product, technological process and organizational innovation) during a 4 years period (2005–2008). In a sample of 80 incubators, we find that incubatees in some types of incubators are more prone to generate product and technological process innovations than those hosted in other types.