RACE,CLASS, GENDER,AND SOCIAL SPACE: Using an Intersectional Approach to Study Immigration Attitudes

This study uses an intersectional approach to predict attitudes toward immigrants by examining the intersections of race, class, gender, and social space. With data from the 2004 General Social Survey and the 2000 Census, generalized hierarchal linear modeling generates significant two‐way and three‐way interactions in predicting attitudes toward immigrants taking jobs, improving the economy, committing crime, and migrating to the United States. Important differences in attitudes between groups and within groups only emerge when particular intersections are considered in the analysis. One implication is that pro‐immigrant organizations may gain greater support by devising political strategies from an intersectional perspective.