03820nam 22007095 450 991015428890332120230126214842.00-226-41454-X10.7208/9780226414546(CKB)3710000000971587(MiAaPQ)EBC4532282(StDuBDS)EDZ0001601006(DE-B1597)523372(OCoLC)967588898(DE-B1597)9780226414546(EXLCZ)99371000000097158720200424h20162016 fg engurcnu||||||||rdacontentrdamediardacarrierIntersectional Inequality Race, Class, Test Scores, and Poverty /Charles C. Ragin, Peer C. FissChicago : University of Chicago Press, [2016]©20161 online resource (182 pages)Previously issued in print: 2016.0-226-41437-X Includes bibliographical references and index.Frontmatter -- Contents -- Acknowledgments -- Introduction -- One. When Inequalities Coincide -- Two. Policy Context: Test Scores and Life Chances -- Three. Explaining Poverty: The Key Causal Conditions -- Four. From Variables to Fuzzy Sets -- Five. Test Scores, Parental Income, and Poverty -- Six. Coinciding Advantages versus Coinciding Disadvantages -- Seven. Intersectional Analysis of Causal Conditions Linked to Avoiding Poverty -- Eight. Conclusion: The Black-White Gap and the Path Forward for Policy Research -- Bibliography -- IndexFor over twenty-five years, Charles C. Ragin has developed Qualitative Comparative Analysis and related set-analytic techniques as a means of bridging qualitative and quantitative methods of research. Now, with Peer C. Fiss, Ragin uses these impressive new tools to unravel the varied conditions affecting life chances. Ragin and Fiss begin by taking up the controversy regarding the relative importance of test scores versus socioeconomic background on life chances, a debate that has raged since the 1994 publication of Richard Herrnstein and Charles Murray's TheBell Curve. In contrast to prior work, Ragin and Fiss bring an intersectional approach to the evidence, analyzing the different ways that advantages and disadvantages combine in their impact on life chances. Moving beyond controversy and fixed policy positions, the authors propose sophisticated new methods of analysis to underscore the importance of attending to configurations of race, gender, family background, educational achievement, and related conditions when addressing social inequality in America today.EqualityPovertyUnited StatesRaceSocial aspectsUnited StatesEducational equalizationUnited StatesEqualityResearchSocial sciencesMethodologyfuzzy sets.gender.inequality.intersectionality.policy research.poverty.qualitative comparative analysis.race.set coincidence.set-analytic methods.Equality.PovertyRaceSocial aspectsEducational equalizationEqualityResearch.Social sciencesMethodology.305Ragin Charles C., authttp://id.loc.gov/vocabulary/relators/aut120151Fiss Peer C., authttp://id.loc.gov/vocabulary/relators/autDE-B1597DE-B1597BOOK9910154288903321Intersectional Inequality2281103UNINA