Testing the Utility of the Neural Network Model to Predict History of Arrest among Intimate Partner Violent Men
Risk assessments are typically based on retrospective reports of factors known to be correlated with violence recidivism in simple linear models. Generally, these linear models use only the perpetrators’ reports. Using a community sample of couples recruited for recent male-to-female intim...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-01-01
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| Series: | Safety |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2313-576X/5/1/2 |
| _version_ | 1819025501198483456 |
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| author | Julia C. Babcock Jason Cooper |
| author_facet | Julia C. Babcock Jason Cooper |
| author_sort | Julia C. Babcock |
| collection | DOAJ |
| description | Risk assessments are typically based on retrospective reports of factors known to be correlated with violence recidivism in simple linear models. Generally, these linear models use only the perpetrators’ reports. Using a community sample of couples recruited for recent male-to-female intimate partner violence (IPV; N = 97 couples), the current study compared non-linear neural network models to traditional linear models in predicting a history of arrest in men who perpetrate IPV. The neural network models were found to be superior to the linear models in their predictive power. Models were slightly improved by adding victims’ report. These findings suggest that the prediction of violence arrest be enhanced through the use of neural network models and by including collateral reports. |
| first_indexed | 2024-12-21T05:11:41Z |
| format | Article |
| id | doaj.art-466d1dc3abc24c67a112afc7d49e8b8f |
| institution | Directory Open Access Journal |
| issn | 2313-576X |
| language | English |
| last_indexed | 2024-12-21T05:11:41Z |
| publishDate | 2019-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Safety |
| spelling | doaj.art-466d1dc3abc24c67a112afc7d49e8b8f2022-12-21T19:15:02ZengMDPI AGSafety2313-576X2019-01-0151210.3390/safety5010002safety5010002Testing the Utility of the Neural Network Model to Predict History of Arrest among Intimate Partner Violent MenJulia C. Babcock0Jason Cooper1Department of Psychology, University of Houston, 4800 Calhoun Rd, Houston, TX 77004, USAPrivate Practice, Plano, TX 75074, USARisk assessments are typically based on retrospective reports of factors known to be correlated with violence recidivism in simple linear models. Generally, these linear models use only the perpetrators’ reports. Using a community sample of couples recruited for recent male-to-female intimate partner violence (IPV; N = 97 couples), the current study compared non-linear neural network models to traditional linear models in predicting a history of arrest in men who perpetrate IPV. The neural network models were found to be superior to the linear models in their predictive power. Models were slightly improved by adding victims’ report. These findings suggest that the prediction of violence arrest be enhanced through the use of neural network models and by including collateral reports.http://www.mdpi.com/2313-576X/5/1/2intimate partner violenceneural networkviolence risk assessment |
| spellingShingle | Julia C. Babcock Jason Cooper Testing the Utility of the Neural Network Model to Predict History of Arrest among Intimate Partner Violent Men Safety intimate partner violence neural network violence risk assessment |
| title | Testing the Utility of the Neural Network Model to Predict History of Arrest among Intimate Partner Violent Men |
| title_full | Testing the Utility of the Neural Network Model to Predict History of Arrest among Intimate Partner Violent Men |
| title_fullStr | Testing the Utility of the Neural Network Model to Predict History of Arrest among Intimate Partner Violent Men |
| title_full_unstemmed | Testing the Utility of the Neural Network Model to Predict History of Arrest among Intimate Partner Violent Men |
| title_short | Testing the Utility of the Neural Network Model to Predict History of Arrest among Intimate Partner Violent Men |
| title_sort | testing the utility of the neural network model to predict history of arrest among intimate partner violent men |
| topic | intimate partner violence neural network violence risk assessment |
| url | http://www.mdpi.com/2313-576X/5/1/2 |
| work_keys_str_mv | AT juliacbabcock testingtheutilityoftheneuralnetworkmodeltopredicthistoryofarrestamongintimatepartnerviolentmen AT jasoncooper testingtheutilityoftheneuralnetworkmodeltopredicthistoryofarrestamongintimatepartnerviolentmen |