title: Dangerousness: assessing the risk of violent behavior.
abstract: Results of discriminant analyses for identifying dangerous inpatients and prison inmates are presented. Analysis of a hospital sample (N = 100) yielded a discriminant function containing 5 variables, which was 85% accurate in classifying the sample. Analysis of a prison sample (N = 100) yielded a discriminant model with 6 variables, which was 72% accurate in classifying the sample. Stepwise discriminant analysis of the combined hospital and prison derivation sample (N = 200) yielded a discriminant function containing 8 variables, which was 75% accurate in classifying the sample as dangerous or nondangerous. It was concluded that the derived population-specific (i.e., hospital or prison) models constitute empirically valid measures of dangerousness for the populations studied.
authors: Department of Psychology, Louisiana State University, Baton Rouge 70803.
authors: C E
authors: CE
authors: Shaffer
authors: W F
authors: WF
authors: Waters
authors: S G
authors: SG
authors: Adams
mesh_terms: D000328:Adult; D003617:Dangerous Behavior; D006760:Hospitalization; D006778:Hospitals, Psychiatric; D006801:Humans; D008950:MMPI; D001523:Mental Disorders / Q000523:psychology / Q000534:rehabilitation; D010554:Personality Disorders / Q000175:diagnosis* / Q000523:psychology*; D011329:Prisoners / Q000523:psychology; D012307:Risk Factors