Every day people make judgments and decisions, even when they don’t have the necessary information. Ramadhar Singh studied how people, when making predictions about others, infer the missing information from the facts they do have. In his research, Singh first experimentally demonstrated that Predicted gift size = Generosity x Capability (Income). Based on this evidence, he then identified that inferred value of the missing capability information increases with the given value of generosity information. In contrast, inferred value of the missing generosity information is constant usually around the middle level of generosity in the donor. Singh and his colleagues also demonstrated similar inferences about missing ability and motivation information in prediction of performance. Singh’s work identifying these kinds of asymmetrical inferences has helped social and cross-cultural psychologists understand and investigate how people judge morality and achievement of others even without the needed information.
Making excuses for a minor workplace transgression – like arriving late to a meeting – may go over better with colleagues than simply apologizing, a study suggests. More
Psychological scientists looking to apply for funding from the National Science Foundation may be interested in several the August and September 2019 grant deadlines. More
A study shows how much people criticize their employers and colleagues on social media, and what consequences they face when they do so. More