The Association of Cognitive Ability with Right-wing Ideological Attitudes and Prejudice: A Meta-analytic Review

The cognitive functioning of individuals with stronger endorsement of right-wing and prejudiced attitudes has elicited much scholarly interest. Whereas many studies investigated cognitive styles, less attention has been directed towards cognitive ability. Studies investigating the latter topic generally reveal lower cognitive ability to be associated with stronger endorsement of right-wing ideological attitudes and greater prejudice. However, this relationship has remained widely unrecognized in literature. The present meta-analyses revealed an average effect size of r =-.20 [95% confidence interval (95% CI) [-0.23, -0.17]; based on 67 studies, N=84 017] for the relationship between cognitive ability and right-wing ideological attitudes and an average effect size of r=-.19 (95% CI [-0.23, -0.16]; based on 23 studies, N=27 011) for the relationship between cognitive ability and prejudice. Effect sizes did not vary significantly across different cognitive abilities and sample characteristics. The effect strongly depended on the measure used for ideological attitudes and prejudice, with the strongest effect sizes for authoritarianism and ethnocentrism. We conclude that cognitive ability is an important factor in the genesis of ideological attitudes and prejudice and thus should become more central in theorizing and model building

The impact of ancillary services in optimal DER investment decisions

Microgrid resource sizing problems typically include the analysis of a combination of value streams such as peak shaving, load shifting, or load scheduling, which support the economic feasibility of the microgrid deployment. However, microgrid benefits can go beyond these, and the ability to provide ancillary grid services such as frequency regulation or spinning and non-spinning reserves is well known, despite typically not being considered in resource sizing problems. This paper proposes the expansion of the Distributed Energy Resources Customer Adoption Model (DER-CAM), a state-of-the-art microgrid resource sizing model, to include revenue streams resulting from the participation in ancillary service markets. Results suggest that participation in such markets may not only influence the optimum resource sizing, but also the operational dispatch, with results being strongly influenced by the exact market requirements and clearing prices