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Early memories and the criminally dangerous
Journal of Personality Assessment
|August 1, 1992
Summary
Early memory (EM) data effectively identified criminally dangerous psychiatric patients. The Early Memory Aggressiveness Potential Score System (EMAPSS) achieved 73% accuracy, with 94% of those flagged as dangerous being truly so.
Area of Science:
- Forensic Psychology
- Clinical Psychology
- Psychiatry
Background:
- Distinguishing criminally dangerous from nondangerous psychiatric patients is crucial for public safety and patient care.
- Previous methods for assessing dangerousness have limitations.
- Early memory (EM) data offers a potential new avenue for postdictive assessment.
Purpose of the Study:
- To evaluate the efficacy of early memory (EM) data in postdictively distinguishing criminally dangerous from nondangerous psychiatric patients.
- To introduce and validate the Early Memory Aggressiveness Potential Score System (EMAPSS).
Main Methods:
- A cohort of 60 psychiatric patients was studied, comprising 30 adjudicated not criminally responsible (NCR) for felonies (dangerous group) and 30 with no prior aggressive offenses (nondangerous group).
- Groups were matched for age, IQ, socioeconomic status (SES), marital status, and diagnoses, but differed significantly in racial composition.
- Statistical analyses were conducted to control for potential racial confounds.
- A novel scoring system, the Early Memory Aggressiveness Potential Score System (EMAPSS), was developed and applied to EM data.
Main Results:
- The EMAPSS achieved an overall classification accuracy of 73% for distinguishing dangerous from nondangerous patients.
- Of the patients classified as dangerous, 94% were indeed dangerous, indicating high specificity.
- The false-positive rate was a low 6%, suggesting the EMAPSS is a reliable indicator of postdictive dangerousness.
Conclusions:
- Early memory data, as measured by the EMAPSS, is a highly effective tool for postdictively assessing dangerousness in psychiatric patients.
- The EMAPSS demonstrates strong predictive validity, with a low false-positive rate.
- This approach holds promise for improving risk assessment in forensic and clinical psychiatric settings.