Gender, race, and *class as predictors of femicide rates: A path analysis.
Item
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Title
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Gender, race, and *class as predictors of femicide rates: A path analysis.
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Identifier
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AAI3159209
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identifier
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3159209
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Creator
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Della-Giustina, Jo-Ann.
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Contributor
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Adviser: Maureen O'Connor
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Date
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2005
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Language
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English
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Publisher
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City University of New York.
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Subject
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Sociology, Criminology and Penology | Women's Studies | Sociology, Ethnic and Racial Studies
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Abstract
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This research is designed to examine social structural variables related to femicide (murder of women), particularly gender, race, class, and population structure. It explores gender, race, and class as potential predictors of the variation in femicide rates and population structure as a possible mediator between the predictors and the femicide rates. To analyze these relationships, the femicide rates of black women and white women victims are gathered for 106 medium and large U.S. cities for the years 1998 to 2001.;Path analysis is employed to test whether the intersectionality theory (Crenshaw, 1991) can be used to empirically predict variations in the femicide rates. It is one of many efforts to develop a complex view of violence against women grounded in the feminist perspective that women's lives are shaped by the interconnection of the multiple oppressions of gender, race, and class.;The findings of this study support the tenets of intersectionality theory---that the interlocking oppressions of gender, race, and class inequalities influence women's lives. The results indicate that intersectional inequality predicts high femicide rates for both black women and white women. When gender, race, and class are examined separately, however, there are significant differences between the predictors of the race-based femicide rates. In particular, high overall femicide rates and black femicide rates are predicted by a city's high level of racial inequality, but low level of gender inequality. For the white femicide rate, only a city's class inequality is a predictor. The greater a city's class inequality, the higher the femicide rate of white women. Moreover, a city's population structure mediates the predictive effect of gender inequality on the white femicide rate.
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Type
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dissertation
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Source
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PQT Legacy CUNY.xlsx
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degree
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Ph.D.
