Table 5.
Time constants and asymptotic d′ values for fits of exponential function to three sets of predictions for d′ as a function of time for the partial information diffusion model
| Parameter and condition | One rate and three asymptotic d′ values
|
Three rates and three asymptotic d′ values
|
||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| τ | τ2 | τ3 | ||||||||
| Baseline (a = 0.212) | 313 | 4.34 | 3.80 | 2.88 | 4.23 | 281 | 3.84 | 327 | 3.02 | 378 |
| a = 0.106 | 119 | 2.50 | 2.20 | 1.68 | 2.46 | 109 | 2.21 | 124 | 1.72 | 138 |
| a = 0.3 | 248 | 4.73 | 4.05 | 2.83 | 4.65 | 230 | 4.13 | 269 | 2.87 | 265 |
| η = 0.1 | 278 | 3.83 | 3.26 | 2.39 | 3.78 | 262 | 3.29 | 289 | 2.44 | 304 |
| sz = 0.02 | 278 | 5.87 | 5.05 | 3.73 | 5.76 | 254 | 5.10 | 291 | 3.86 | 320 |
Note. Predicted values of probabilities were generated from the diffusion model with partial information using the parameters in Tables 2 and 3. The hit rates from conditions 2, 3, and 4 were scaled against false alarm rates for condition 7 to produce d′ values. Exponential growth to asymptote functions were fit to the d′ functions with one time constant and three asymptotic d′ values and with three time constants and three asymptotic d′ values. The “Baseline condition” row above used the values of parameters in Tables 2 and 3 and the other rows differ only in the parameter shown (and with z = a/2 for the parameter a) from the values in Tables 2 and 3.