Abstract
A bookbag and poker chip experiment is evaluated in light of a lens model analysis. Bag composition (60-40 vs. 80-20) and s-f were considered as cues, and the probability of the favored hypothesis as the criterion. Separate analyses were performed on each individual judge, and also on a hypothetical Bayesian “judge.” The linear regression model incompletely specifies the Bayesian judge, but permits useful comparisons between the cue utilization coefficients of the actual judges and the normative model.
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