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The Domestic Violence Inventory as a...

Herndon, Kathleen Elizabeth Zaynullin.

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The Domestic Violence Inventory as a Tool for the Prediction of Domestic Violence.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	The Domestic Violence Inventory as a Tool for the Prediction of Domestic Violence./
Author:	Herndon, Kathleen Elizabeth Zaynullin.
Description:	142 p.
Notes:	Source: Dissertation Abstracts International, Volume: 75-01(E), Section: B.
Contained By:	Dissertation Abstracts International75-01B(E).
Subject:	Psychology, General. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3591394
ISBN:	9781303319693

The Domestic Violence Inventory as a Tool for the Prediction of Domestic Violence.
Herndon, Kathleen Elizabeth Zaynullin.

The Domestic Violence Inventory as a Tool for the Prediction of Domestic Violence. - 142 p.

Source: Dissertation Abstracts International, Volume: 75-01(E), Section: B.

Thesis (Ph.D.)--Walden University, 2014.

Aligned with the general personality and cognitive-social learning (GPCSL) model of criminal recidivism, modern risk assessment instruments in the field of domestic violence have relied on a thematic examination of both static and dynamic criminogenic risks and needs. The Domestic Violence Inventory (DVI), a modern domestic violence risk assessment instrument, has been in use in Virginia for over 15 years, but had not yet been validated for the prediction of recidivism in domestic violence offenders. This study examined the predictive validity of the DVI in the context of case file information from a Virginia county in a sample of 39 adults placed on probation for recent domestic violence offenses. Using case file information supplied by the Department of Adult Court Services, the predictive validity of the DVI and its component subscales and the role of demographic, contextual/behavioral, and stability/attitude variables in the prediction of domestic violence recidivism were examined using logistic regression and receiver operating characteristic (ROC) curve analysis. DVI percentile scores did not significantly predict reoffense status, but variables such as probation outcome, jail time served, and educational attainment did predict reoffense status; DVI Truthfulness categorical scores may also have been instrumental in predicting reoffense status. Completion of the batterer intervention program (BIP) may have mediated the relationship between initial risk and actual reoffense. This study supports probation departments and domestic violence treatment centers in their efforts to make effective decisions about domestic violence risk assessment, offender treatment program referrals, and offender supervision.

ISBN: 9781303319693Subjects--Topical Terms:

1018034
Psychology, General.

The Domestic Violence Inventory as a Tool for the Prediction of Domestic Violence.
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020 $a 9781303319693
035 $a (MiAaPQ)AAI3591394
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100 1 $a Herndon, Kathleen Elizabeth Zaynullin. $3 2102267
245 1 4 $a The Domestic Violence Inventory as a Tool for the Prediction of Domestic Violence.
300 $a 142 p.
500 $a Source: Dissertation Abstracts International, Volume: 75-01(E), Section: B.
500 $a Adviser: Anne Morris.
502 $a Thesis (Ph.D.)--Walden University, 2014.
520 $a Aligned with the general personality and cognitive-social learning (GPCSL) model of criminal recidivism, modern risk assessment instruments in the field of domestic violence have relied on a thematic examination of both static and dynamic criminogenic risks and needs. The Domestic Violence Inventory (DVI), a modern domestic violence risk assessment instrument, has been in use in Virginia for over 15 years, but had not yet been validated for the prediction of recidivism in domestic violence offenders. This study examined the predictive validity of the DVI in the context of case file information from a Virginia county in a sample of 39 adults placed on probation for recent domestic violence offenses. Using case file information supplied by the Department of Adult Court Services, the predictive validity of the DVI and its component subscales and the role of demographic, contextual/behavioral, and stability/attitude variables in the prediction of domestic violence recidivism were examined using logistic regression and receiver operating characteristic (ROC) curve analysis. DVI percentile scores did not significantly predict reoffense status, but variables such as probation outcome, jail time served, and educational attainment did predict reoffense status; DVI Truthfulness categorical scores may also have been instrumental in predicting reoffense status. Completion of the batterer intervention program (BIP) may have mediated the relationship between initial risk and actual reoffense. This study supports probation departments and domestic violence treatment centers in their efforts to make effective decisions about domestic violence risk assessment, offender treatment program referrals, and offender supervision.
590 $a School code: 0543.
650 4 $a Psychology, General. $3 1018034
650 4 $a Sociology, Criminology and Penology. $3 1017569
650 4 $a Psychology, Psychometrics. $3 1017742
690 $a 0621
690 $a 0627
690 $a 0632
710 2 $a Walden University. $b Psychology. $3 1020184
773 0 $t Dissertation Abstracts International $g 75-01B(E).
790 $a 0543
791 $a Ph.D.
792 $a 2014
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3591394