Table 1.
Statistic | Ter | st | σ | Decay k | Scale a | LF New μln |
LF New σln |
HF New μhn |
HF New σhn |
HF Old μho |
HF Old σho |
LF Old μlo |
LF Old σlo |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Fit to mean data | 543 | 248 | 0.186 | 0.29 | 0.1 | −0.47 | 0.44 | 0.00 | 0.62 | 1.08 | 0.95 | 1.70 | 1.13 |
Means over subjects | 536 | 262 | 0.177 | 0.32 | 0.1 | −0.44 | 0.48 | 0.00 | 0.63 | 1.05 | 0.96 | 1.64 | 1.07 |
SD over subjects | 66 | 96 | 0.019 | 0.04 | 0.0 | 0.15 | 0.10 | 0.00 | 0.13 | 0.29 | 0.10 | 0.30 | 0.19 |
Monte Carlo means | 541 | 249 | 0.178 | 0.29 | 0.1 | −0.48 | 0.44 | 0.00 | 0.64 | 1.05 | 0.99 | 1.65 | 1.16 |
Monte Carlo SDs | 2 | 6 | 0.002 | 0.00 | 0.0 | 0.02 | 0.01 | 0.00 | 0.03 | 0.05 | 0.05 | 0.06 | 0.06 |
Note. Ter is the mean duration of nondecision processes; st is the range of variation in the nondecision response time component; σ is the standard deviation in evidence accumulation; k is the decay coefficient; a is the scaling factor applied to the drift rates; LF denotes low frequency words; HF denotes high frequency words; μ and σ give the mean and standard deviation of the across-trial match distributions for each item type.