Ideologies of Reverse Discrimination: Race, Gender, Class, Age Analysis

This article employs a quantitative statistical method, fullysaturated analysis of covariance, to model the main and interactive effects of race, gender, class and age on factor analyzed, surveyed perceptions of dependent measures of institutional unfairness, ideologies of "reverse discrimination" and support of affirmative action. Viewed together as a recursive (one-way causal) system, and holding constant education level, the three ANCOVA models reveal a number of important interactive and main effects of gender, class, age, and particularly racial group membership on these three major ideologies surrounding reverse discrimination. Conclusions and implications are discussed with respect to RGC and affirmative action theory, research, and social policy.