Dissecting Bayes: Using influence measures to test normative use of probability density information derived from a sample
Fig 9
A. Illustration of the Max-point model. Two samples drawn from the same pdf are shown, one of size 5 and the other of size 30. The decision maker sets each sample so that the maximum point PMAX falls on a criterion boundary (dashed green line) chosen by the decision maker. The mental reference boundary is identical for 30-point samples and 5-point samples and as a consequence, the mean settings (red diamonds) for the 5-point sample are markedly higher than those for the 30-point samples. B. An AICc model comparison of the normative BDT model and the Max-Point Model. The lower the AICc, the better the model. C. A plot of mean settings for each participant versus the predictions of the normative BDT model. D. A plot of mean settings for each participant versus the predictions of the Max-point model. In sum, the Max-Point Model outperformed the normative BDT and reproduced the participant’s set point fairly well.