The Impact of Domestic Violence on Urban Preschool Children: Battered Mothers' Perspectives

2002 ◽  
Vol 17 (10) ◽  
pp. 1075-1101 ◽  
Author(s):  
Ellen R. DeVoe ◽  
Erica L. Smith

Applying focus group methodology, this article explores urban battered mothers' perceptions oftheir preschool children's exposure to domestic violence. It also examines mothers' reportsabout their young children's functioning and traumatic stress symptoms and the connectionswomen make between their own experiences of victimization by partners and their children's difficulties.Finally, this research describes the challenges abused mothers relate in their efforts toparent in the context of domestic violence. The sample consists of 43 women from diversesociodemographic backgrounds who participated in five focus groups in New York City. Findingssuggest that battered mothers have a wide range of awareness of their children's exposure todomestic violence and its possible effects on their preschoolers, including traumatic impact.Women identified parenting burdens related to domestic violence including efforts to preventaggression and victimization in their children. The implications for intervention with batteredwomen and their preschool children are presented.

1978 ◽  
Vol 48 (2) ◽  
pp. 193-226 ◽  
Author(s):  
Lee Friedman ◽  
Michael Wiseman

In this essay, Lee S. Friedman and Michael Wiseman discuss the economic, legal,and logical implications of school-financing methods now practiced in several states, including Illinois, New York, and California. Examining the Serrano case in California, the authors contend that an important inconsistency in the court requirements resulted from the apparent failure of both the courts and the legislatures to specify the logical relationships between several competing concepts of equality. To this end, Friedman and Wiseman provide a logical analysis of several concepts needed to measure the fair distribution of school revenues and resources. Using Illinois as a case study, they then construct empirical tests for each of those concepts both before and after the Hoffman-Fawell reform in school financing. Those data, finally, are used to suggest an analytic framework that can be employed for evaluating and perhaps predicting the impact of school-finance reforms on a wide range of state systems.


2009 ◽  
Vol 48 (11) ◽  
pp. 2320-2330 ◽  
Author(s):  
H. Salmun ◽  
A. Molod ◽  
F. S. Buonaiuto ◽  
K. Wisniewska ◽  
K. C. Clarke

Abstract New York coastal regions are frequently exposed to winter extratropical storm systems that exhibit a wide range of local impacts. Studies of these systems either have used localized water-level or beach erosion data to identify and characterize the storms or have used meteorological conditions from reanalysis data to provide a general regional “climatology” of storms. The use of meteorological conditions to identify these storms allows an independent assessment of impacts on the coastal environment and therefore can be used to predict the impacts. However, the intensity of these storms can exhibit substantial spatial variability that may not be captured by the relatively large scales of the studies using reanalysis data, and this fact may affect the localized assessment of storm impact on the coastal communities. A method that uses data from National Data Buoy Center stations in the New York metropolitan area to identify East Coast cool-weather storms (ECCSs) and to describe their climatological characteristics is presented. An assessment of the presence of storm conditions and a three-level intensity scale was developed using surface pressure data as measured at the buoys. This study identified ECCSs during the period from 1977 through 2007 and developed storm climatologies for each level of storm intensity. General agreement with established climatologies demonstrated the robustness of the method. The impact of the storms on the coastal environment was assessed by computing “storm average” values of storm-surge data and by examining beach erosion along the south shore of Long Island, New York. A regression analysis demonstrated that the best storm-surge predictor is based on measurements of significant wave height at a nearby buoy.


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