This Article Full Text (PDF) References Alert me when this article is cited Alert me if a correction is posted Services Email this article to a friend Similar articles in this journal Alert me to new issues of the journal Add to Saved Citations Download to citation manager Request Permissions Request Reprints Add to My Marked Citations Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Citing Articles via Scopus Google Scholar Articles by Quinsey, V. L. Search for Related Content Social Bookmarking                   What's this?

Release From a Maximum Security Psychiatric Institution

Demographic and Clinical Variables

Mental Health Centre Penetanguishene, Ontario

A stepwise regression analysis was used to predict length of stay in a maximum security psychiatric institution from 14 clinical and demographic variables. Two groups were studied separately: a cross sectional group of 181 men who were potentially eligible for release to a less secure setting and a group discharged to a less secure setting (N = 94). It was predicted that an admission offense of homicide, a diagnosis of personality disorder, and a younger age on admission would be positively correlated with length of stay because these variables are related to perceived dangerousness. In the cross sectional group, education was the best predictor (r = -.26), followed by age on admission, and an offense of homicide. In the discharge group, an offense of murder was the best predictor (r = .40), followed by a diagnosis of retardation. The reasons for the relationship between length of stay and both years of education and a diagnosis of retardation are at present obscure but are probably not related to the patients' perceived dangerousness.

Criminal Justice and Behavior, Vol. 6, No. 4, 390-399 (1979)
DOI: 10.1177/009385487900600407


CiteULike    Connotea    Del.icio.us    Digg    Reddit    Technorati    What's this?

This article has been cited by other articles:

				V. L. QUINSEY and A. MAGUIRE Maximum Security Psychiatric Patients: Actuarial and Clinical Prediction of Dangerousness J Interpers Violence, June 1, 1986; 1(2): 143 - 171. [Abstract] [PDF]