Justice Beliefs, Personal Well-Being and Harsh Social Attitudes: Initial Demonstration of a Polynomial Regression and Response Surface Methodology

Abstract

Tendencies to believe in justice are multidimensional and include beliefs that the world is fair to one’s self (personal justice beliefs) as well as to others (general justice beliefs). Previous research suggests that personal and general justice beliefs are divergently linked to well-being and harsh social attitudes, respectively. However, whether and how these justice tendencies conjointly affect well-being and harsh social attitudes is less well known. Guided by equity theory, the current study used polynomial regression and surface response methodology to demonstrate how specific discrepancies between justice beliefs for self and others predict personal well-being and harsh social attitudes. Participants (N = 1079) completed measures of tendencies to believe in personal and general justice, as well as measures of physical symptoms associated with illness and attitudes towards the poor. Results suggested that discrepancy between personal and general justice beliefs had detrimental effects on these outcomes (i.e., higher number of illness symptoms and harsher attitudes towards the poor). Moreover, discrepancy resulting from a strong belief in general justice and a weak belief in personal justice (i.e., other-favorable discrepancy) was more strongly negatively associated with well-being and positively associated with harsh attitudes towards the poor than discrepancy resulting from a strong personal justice belief and a weak general justice belief (i.e., self-favorable discrepancy). The current research highlights the potential for personal and general justice beliefs to conjointly predict well-being and social attitudes, while simultaneously demonstrating the capacity to better understand these interactive relationships through the use of surface response methodology.