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Intersectional InequalityRace, Class, Test Scores, and Poverty$
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Charles C. Ragin and Peer C. Fiss

Print publication date: 2016

Print ISBN-13: 9780226414379

Published to Chicago Scholarship Online: September 2017

DOI: 10.7208/chicago/9780226414546.001.0001

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Intersectional Analysis of Causal Conditions Linked to Avoiding Poverty

Intersectional Analysis of Causal Conditions Linked to Avoiding Poverty

Chapter:
(p.121) Seven Intersectional Analysis of Causal Conditions Linked to Avoiding Poverty
Source:
Intersectional Inequality
Author(s):

Charles C. Ragin

Peer C. Fiss

Publisher:
University of Chicago Press
DOI:10.7208/chicago/9780226414546.003.0008

Chapter 7 further refines the results by using truth table analysis to derive causal recipes for avoiding poverty. We perform these analyses separately for white and black males and females and also at different levels of consistency of poverty avoidance. Truth table analysis examines all logically possible combinations of conditions and thereby provides the foundation for identifying the specific combinations consistently linked to an outcome. Logical simplification of these combinations yields causal recipes for inclusion in the set of cases with the outcome of avoiding poverty. The causal recipes for white males are very simple and broadly inclusive. Using a .80 consistency threshold yields three two-advantage recipes. The causal recipes for white females are slightly less inclusive, with two two-advantage recipes derived at .80 consistency. The recipes for black males and black females are still less inclusive, with each sample displaying two three-advantage recipes. Our analysis thus reveals that blacks are doubly disadvantaged: to achieve poverty avoidance levels comparable to whites, blacks must combine more advantages, even though they possess, on average, far fewer advantages.

Keywords:   enabling contexts, causal recipes, truth table analysis, causal combinations, intersectional logic, cross-over point, hypercube, frequency threshold, consistency threshold, racial differences

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