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.
“Contract trading”—in which contract pricing replaces traditional wage setting—lowers freelance contractors’ perceived value and actual earnings alike, even when their actual work product is identical to that of a traditional employee. More
The eminent psychological scientist now heads up one of the National Academy of Sciences’ wings focused on human factors. More
“In any given moment, we have two options: to step forward into growth or to step back into safety.” These words, attributed to Abraham Maslow, might summarize what motivates individuals who forego the relative security of a traditional career in favor of entrepreneurship, defined as the capacity and willingness to More