Comparison-Induced Distribution-Density Effects on Recall of Values from Memory
Victoria N. Bolender, Jessica M. Choplin · eScholarship (California Digital Library) · 2006
Choplin's (2004) model of distribution-density effects (see also Choplin & Hummel, 2002) makes the odd prediction that in a skewed distribution the smallest and largest values will often be judged larger when drawn from a negatively skewed distribution than when drawn from a positively skewed distribution.This prediction is contrary to empirical findings reported in the rather large distribution-density effect literature, which has, for the most part, used category ratings as the dependent measure.The experiments reported here investigated this odd prediction using recall of values from memory as the dependent measure.The findings support the predictions of Choplin's model and are not predicted by other models of distribution-density effects.