Police Response to Domestic Violence: The Influence of Extralegal Factors on Arrest Decisions

Partner Abuse ◽  
2018 ◽  
Vol 9 (3) ◽  
pp. 215-229 ◽  
Author(s):  
Marie Mele

AbstractThis study examines extralegal factors that predict arrest in domestic violence cases from one urban police department in the state of New Jersey. Initial analysis revealed that 40% of reported cases (N = 5,728) resulted in the suspect’s arrest. Bivariate analyses identified several predictors of arrest, including victim gender, victim/suspect relationship, cohabitation, and victim unemployment. At the multivariate level, cohabitation and victim unemployment were the strongest predictors of arrest. These findings are discussed in the context of a growing body of literature that examines the influence of extralegal factors on arrest decisions in domestic violence cases.

Author(s):  
Douglas A. Gaffney ◽  
Edward S. Gorleski ◽  
Genevieve Boehm Clifton

1903 ◽  
Vol 35 (7) ◽  
pp. 188-188 ◽  
Author(s):  
W. E. Britton

Crioceris12-punctata, Linn, is an introduced species, and has been working northward from Maryland, according to Professor J.B. Smith, who some time ago informed me that it was present in New Jersey, and would in time reach Connecticut. The first speciment recorded from the State was taken by a student assistant June, 16th, 1902, who collected a single speciment on asparagus upon the Station grounds in New Haven. On May 23rd, 1903, I took male and female specimens from the same locality. We may now expect this species to become thoroughly established here as a pest of asparagus, beetle, C. asparagi, Linn.


2016 ◽  
Vol 63 (13) ◽  
pp. 1777-1803 ◽  
Author(s):  
Jennifer Roark ◽  
Kelly E. Knight ◽  
Heather Olson ◽  
Heidi DeSandre

This article investigates how different factors of a domestic violence incident impact the likelihood of a child abuse charge within the context of domestic violence arrests. Data from 5,148 domestic violence arrests were used to test whether domestic violence-, incident-, and child-based predictors increased the likelihood of a child abuse charge. Logistic regression models of gender-stratified samples were employed to test for gender differences among domestic violence arrestees. The results demonstrated predictors affected men’s odds of a child abuse charge when compared with women. For men and women, children witnessing the domestic violence incident had the largest impact on a child abuse charge. These results contribute to the underdeveloped area of police response to child abuse in domestic violence cases.


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