Table 7.

Diffusion model parameters.

Task	Subjects	a	Ter (ms)	η	Sz	po	st (ms)	z	χ 2
Item mean	College	0.159	0.498	0.245	0.054	0.002	0.231	0.063	112.4
	60–74	0.218	0.657	0.265	0.036	0.002	0.221	0.083	97.1
	75–90	0.231	0.710	0.216	0.054	0.005	0.249	0.089	102.5
Associative mean	College	0.180	0.507	0.167	0.077	0.002	0.229	0.078	38.0
	60–74	0.245	0.636	0.130	0.051	0.003	0.260	0.095	41.7
	75–90	0.248	0.715	0.106	0.041	0.002	0.325	0.094	43.7
Item SD	College	0.052	0.063	0.069	0.044	0.004	0.087	0.023	51.4
	60–74	0.075	0.085	0.050	0.039	0.008	0.081	0.030	25.0
	75–90	0.067	0.124	0.081	0.062	0.009	0.108	0.026	37.4
Associative SD	College	0.052	0.094	0.104	0.062	0.004	0.128	0.025	20.8
	60–74	0.073	0.122	0.089	0.071	0.006	0.142	0.031	16.4
	75–90	0.063	0.136	0.081	0.046	0.003	0.106	0.025	19.1

Note. a = boundary separation, z = starting point, T_er = nondecision component of response time, η = standard deviation in drift across trials, s_z = range of the distribution of starting point (z), p_o = proportion of contaminants, s_t = range of the distribution of nondecision times, and χ² is the chi-square goodness of fit measure (for item recognition, with 83° of freedom, the critical value is 110.1 and for associative recognition, with 33° of freedom, the critical value is 50.7).