mass in the lower right quadrant, i.e. > c and < 0. Thus, the relevant equations for S r S – Remember judgments to targets and lures are: P (S > and < 0 | Target) = , ci r S – d < 0 | Lure) = . r S – As in the CDP model, the mean location of the Remember criterion), µr (now c2, c3, c4, and represent decision criteria, and they are all free parameters. In addition, (the c5, c6 µT mean of the target distribution), (the standard deviation of the target distribution), and σT (the standard deviation of are free parameters, whereas and (the mean and r), µL σr σL standard deviation of the lure distribution) are set to 0 and 1, respectively. Thus, the equation for lures simplifies to: P (S > and < 0 | Lure) = . ci r S – Finally, the relevant equations for Know judgments to targets and lures are: P (S > and > 0 | Target) = , ci r S – P (S > and > 0 | Lure) = . ci r S –
mass in the lower right quadrant, i.e. S > c and r – S < 0. Thus, the relevant equations for Remember judgments to targets and lures are: P (S > ci and r – S < 0 | Target) = , d r – S < 0 | Lure) = . As in the CDP model, µr (now the mean location of the Remember criterion), c2, c3, c4, c5, and c6 represent decision criteria, and they are all free parameters. In addition, µT (the mean of the target distribution), σT (the standard deviation of the target distribution), and σr (the standard deviation of r), are free parameters, whereas µL and σL (the mean and standard deviation of the lure distribution) are set to 0 and 1, respectively. Thus, the equation for lures simplifies to: P (S > ci and r – S < 0 | Lure) = . Finally, the relevant equations for Know judgments to targets and lures are: P (S > ci and r – S > 0 | Target) = , P (S > ci and r – S > 0 | Lure) = .
CDP%20Model%20(final).docx