Figure 1.

Quantile probability plots for the lexical decision and item recognition tasks for data and model predictions averaged over subjects in the same way. The x’s are the data and the o’s are the predictions joined by the lines. The five lines stacked vertically above each other are the values predicted by the diffusion model for the 0.1, 0.3, 0.5, 0.7, and 0.9 quantile RTs as a function of response proportion for the conditions of the experiments. The quantiles are labeled on the left-hand side of the bottom right plot and equal-area rectangles drawn between the quantiles are shown on the right side of that plot (which represent RT distributions). The M in the top right plot shows the median RT because some subjects did not have enough error responses for low frequency “new” words to compute quantiles.