東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

The prediction and classification of...

York University (Canada).

Linked to FindBook

Google Book

Amazon

博客來

The prediction and classification of risk for future violence: An exploratory study of new predictive and typological aggression models using the Violence Eliciting Situational Inventory with a forensic sample.

Record Type:	Electronic resources : Monograph/item
Title/Author:	The prediction and classification of risk for future violence: An exploratory study of new predictive and typological aggression models using the Violence Eliciting Situational Inventory with a forensic sample./
Author:	Watson, Mark Steven.
Description:	282 p.
Notes:	Source: Dissertation Abstracts International, Volume: 70-01, Section: B, page: 0704.
Contained By:	Dissertation Abstracts International70-01B.
Subject:	Psychology, Clinical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=NR46021
ISBN:	9780494460214

The prediction and classification of risk for future violence: An exploratory study of new predictive and typological aggression models using the Violence Eliciting Situational Inventory with a forensic sample.
Watson, Mark Steven.

The prediction and classification of risk for future violence: An exploratory study of new predictive and typological aggression models using the Violence Eliciting Situational Inventory with a forensic sample. - 282 p.

Source: Dissertation Abstracts International, Volume: 70-01, Section: B, page: 0704.

Thesis (Ph.D.)--York University (Canada), 2008.

The prediction of violence continues to be a topic of considerable interest in forensic psychology. The current dissertation study tested the usefulness of one such model and the ability of various factors to postdict the density of previous violence. Specifically, the current research focused on a theoretically derived model from the animal literature adapted to the study of human aggression and the measure reflecting this model, the Violence Eliciting Situational Inventory (VESI).

ISBN: 9780494460214Subjects--Topical Terms:

524864
Psychology, Clinical.

The prediction and classification of risk for future violence: An exploratory study of new predictive and typological aggression models using the Violence Eliciting Situational Inventory with a forensic sample.
LDR:03056nmm 2200277 a 45 001 886968
005 20101013
008 101013s2008 ||||||||||||||||| ||eng d
020 $a 9780494460214
035 $a (UMI)AAINR46021
035 $a AAINR46021
040 $a UMI $c UMI
100 1 $a Watson, Mark Steven. $3 1058688
245 1 4 $a The prediction and classification of risk for future violence: An exploratory study of new predictive and typological aggression models using the Violence Eliciting Situational Inventory with a forensic sample.
300 $a 282 p.
500 $a Source: Dissertation Abstracts International, Volume: 70-01, Section: B, page: 0704.
502 $a Thesis (Ph.D.)--York University (Canada), 2008.
520 $a The prediction of violence continues to be a topic of considerable interest in forensic psychology. The current dissertation study tested the usefulness of one such model and the ability of various factors to postdict the density of previous violence. Specifically, the current research focused on a theoretically derived model from the animal literature adapted to the study of human aggression and the measure reflecting this model, the Violence Eliciting Situational Inventory (VESI).
520 $a The participants were 201 forensic patients (173 men, 28 women) who were assessed in terms of levels of predatory, defensive, and irritable aggression. Overall, 67% of the participants had been charged with a violent offence as their index offence. Several demographic, psychometric, and criminogenic variables were included in this investigation. Self-report measures assessed psychopathy, hostility, social hopelessness, and criminal sentiments. Overall, the results provided general support for three main hypotheses. First, it was found that violent response patterns, as assessed by the VESI, could be grouped into categories reflecting predatory responses, realistic defensive/non-realistic defensive responses, and irritable responses. Second, individual difference variables accounted for a significant proportion of the variance in the past density of violence; key predictors were number of defensive responses from the VESI, social hopelessness, victim injury level, and psychiatric diagnoses. Third, the results illustrated the usefulness of distinguishing the sample in terms of diagnostic group and offender type. Overall, the results provide general support for the new aggression model and the VESI appears to be a potentially useful measure. The results also highlight the usefulness of a multi-factorial approach that includes demographic variables, personality variables, and specific indices such as the number of past offenses. The strengths, limitations, and implications of the results are discussed within the context of the broader literature on risk assessment and violence.
590 $a School code: 0267.
650 4 $a Psychology, Clinical. $3 524864
650 4 $a Psychology, Psychometrics. $3 1017742
650 4 $a Sociology, Criminology and Penology. $3 1017569
690 $a 0622
690 $a 0627
690 $a 0632
710 2 $a York University (Canada). $3 1017889
773 0 $t Dissertation Abstracts International $g 70-01B.
790 $a 0267
791 $a Ph.D.
792 $a 2008
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=NR46021