Drawing upon previous research, a mathematical model for understanding the , relationship between causal attributions for success and failure and future expectations was developed. Four hypotheses were generated from the model: (a) The stability of attributions is a function of the difference between the person's initial expectations and the actual outcome, (b) The more an outcome is attributed to stable causes, the greater the weight that will be given to that outcome in determining predictions for the future, (c) Change in expectations will be a quadratic function of the difference between initial expectations and the actual performance, (d) By manipulating the causal attributions it is possible to lessen or increase the amount of weight given to an outcome when making predictions for the future. Two studies are reported that tested and supported these hypotheses.