The present paper reports a repeated experiment on decision making under risk where subjects have to tackle the same choice problems in several rounds. We fit a simple error model and investigate how behavior changes in the course of the experiment. Our analysis complements and extends Hey...

True and Error Theory (TET) provides a method to separate the variability of behavior into components due to changing true policy and to random error. TET is a testable theory that can serve as a statistical model, allowing one to evaluate substantive theories as nested, special cases. TET is...

People judged both the attractiveness and risk of lotteries to win or lose money. The lotteries were designed to test whether risk and attractiveness judgments show systematic deviations from the simple sum of probability-by-utility-products analogous to (S)EU theory. Our results led to an...

In order to test between subtractive and ratio theories of stimulus comparison, judges were asked to estimate “ratios” and “differences” of easterliness and westerliness of U.S. cities. “Difference” judgments fit the subtractive model, and “ratio” judgments fit the ratio model....

The dominance principle states that the judged price of gamble A should be equal to or greater than the judged price of gamble B whenever A's outcomes are equal to or better than the corresponding outcomes of B, holding everything else constant. Subjects often violate the dominance principle by...

Five descriptive models of risky decision making are tested in this article, including four quantitative models and one heuristic account. Seven studies with 1802 participants were conducted to compare accuracy of predictions to new tests of first order stochastic dominance. Although the...

The present paper reports a repeated experiment on decision making under risk where subjects have to tackle the same choice problems in several rounds. We fit a simple error model and investigate how behavior changes in the course of the experiment. Our analysis complements and extends Hey...