A recently developed nonpartisan authoritarian aggression scale (NAAS) has a robust nomological network that includes attitudes toward women and LGBTQ+ individuals. The current research was meant to further validate the scale by demonstrating its ability to predict unique variance in attitudes relating to sex crimes (i.e., rape myth acceptance) and anti-transgender hate crimes when controlling for potentially relevant cognitive (i.e., need for cognition, intolerance of uncertainty) and cultural (i.e., Christian nationalism) variables. A sample of 100 U.S. participants was recruited from Prolific and completed an online survey via Qualtrics. A series of correlation analyses showed that the NAAS was significantly related to all of the other predictor variables as well as both the sex and hate crime outcomes at the bivariate level, adding to the nomological network of the NAAS. Multiple regression analyses showed that the combination of predictors explained significant variance in both outcomes and that the NAAS was the only predictor to explain unique variance in both sex crime and anti-transgender hate crime attitudes. The results imply that authoritarian aggression poses a danger for women, transgender individuals, and victims of sex crimes and hate crimes more broadly. Future research should examine ways of attenuating authoritarian aggression in individuals and communities to protect those who are vulnerable due to their sex, sexual orientation, or gender identity.
Kozlowski et al. (Tue,) studied this question.