Intersectional Inequality : Race, Class, Test Scores, and Poverty (Paperback)

In this guidebook, we have a powerful contribution to social science methodology in a context where methodology is contested, and is therefore political: different methodologies can produce quite different results or findings using the same evidence. The evidence in Ragin and Fiss s book is survey data. Ragin s has developed for 25 years a way to bridge the case study method and the large n statistical study. He calls it the set analytic method --making use of fuzzy sets to bridge the divide between quantitative and qualitative methods. Paradoxically, the fuzzy set is a powerful tool because it replaces an unwieldy, "fuzzy" instrumentthe variable, which establishes only the positions of cases relative to each other, with a precise onedegree of membership in a well-defined set. Now, with Intersectional Inequality, Ragin and his coauthor, Peter Fiss, show how the method works in application to a very mainstream sociological research topic. That topic, the use of IQ and school achievement tests as predictors of life chances, is advanced here by viewing cases intersectionally, i.e., in terms of the different ways they combine causally relevant conditions. The specific controversy they take up is the famous Bell Curve book of Charles Murray and Richard Herrnstein which argued that IQ is influenced by both inherited and environmental factors. Controversy has gone on for 20 years over which variable has the strongest impact on life changes: education, or test scores, or family background. The centrality, now more than ever, of education to American social and economic policy, compels close re-examination of traditional methods (and the blind spots of the so-called net-effects approach). By use of this sophisticated qualitative comparative analysis, Ragin and Fiss underscore the importance of racial differences in addressing social inequality in America today." For 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.