Table 1.
Statistical results from Bayesian multilevel modeling on data from the 10 days of stable performance. The Bayesian multilevel model accounts for the uncertainty associated with measuring d’ by incorporating the standard error into group-level probability distributions. The posterior distributions are compared to assess the likelihood that one group’s value will be larger or smaller than another group’s value. There is strong evidence for a group-level difference if the posterior probability of the group difference being positive or negative is 95% or greater.
| Bayesian multilevel modeling | ||||
|---|---|---|---|---|
| P(group d’ < control d’) | P(TE + TEO d’ < TE d’) | |||
| Interval | TEO | TE | TE + TEO | TE vs TE + TEO |
| 0 | 0.45 | 1.00 | 0.99 | 0.27 |
| 1 | 0.43 | 0.99 | 0.99 | 0.44 |
| 2 | 0.48 | 1.00 | 0.99 | 0.21 |
| 4 | 0.44 | 1.00 | 1.00 | 0.23 |
| 8 | 0.40 | 1.00 | 1.00 | 0.28 |
| 16 | 0.30 | 1.00 | 1.00 | 0.39 |
| 32 | 0.36 | 1.00 | 1.00 | 0.41 |
| 64 | 0.24 | 0.96 | 0.95 | 0.47 |
| 128 | 0.28 | 0.74 | 0.77 | 0.53 |